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Harnessing AI Development in Software to Drive Business Revenue
icon-calendar 6 days ago
icon-category Artificial Intelligence

The artificial intelligence (AI) platform software market grew rapidly in 2023 and is project to maintain its remarkable momentum, driven by the increasing adoption of AI in many industries. These technologies driven motivation, from revolutionizing traditional coding tasks to improving the efficiency of the entire development life cycle. Artificial Intelligence (AI), especially generative AI (gen AI) and Large Language Models (LLM), simplifies the development cycle by automating key steps, from ideation and requirements gathering to coding and testing.

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The drive to explore enterprise AI was initially inspired by a fear of being left behind is now starting to subside. In fact, business and technology leaders are shifting their focus from experiments to practical problems : “How can Artificial Intelligence (AI) drive revenue?” That question will become increasingly important as financial expectations rise.

Artificial Intelligence (AI) is revolutionizing the software development process by introducing tools and techniques that increase productivity, accuracy, and innovation. From automating code generations to optimizing testing and deployment, Artificial Intelligence (AI) is reshaping the way software is designed, built, and maintained.

Some of the benefits that we can get from developing Artificial Intelligence (AI) in software are as follows:

  • Automation of Repetitive Tasks
    The first benefit of developing Artificial Intelligence is the automation of repetitive tasks. AI-powered tools can help developers by automatically generating snippets of code or entire functions, which significantly reduces development time. This automation allows developers to focus on high-levels tasks such as problem solving and architectural design, rather than coding, bug-detection, and testing.
     
  • Improved Software Quality
    In this benefit, AI detects bugs, vulnerabilities and inefficiencies early in the development cycle. Artificial Intelligence (AI) can analyze large data sets project historical trends, and provide more accurate predictions regarding schedules, resources, allocation, and feature prioritization. This capability results in better project management and more efficient use of time and resources.
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  • Democratization of Software Development
    Through no-code and low-code platforms, non-technical users can build and customize applications that use AI without requiring in-depth programming skills. The platform enables business professionals, product managers and other stakeholders to create solutions tailored to their needs.
     
  • The Following is the Last Benefit of Artificial Intelligence
    Here’s the final benefit where Artificial Intelligence (AI) can personalize applications in real time and offer customized recommendations, interfaces and features by analyzing user behavior and preferences. These capabilities result in higher user satisfaction and better engagement, making AI an asset in delivering more intuitive ad easy-to-use software products.

Meanwhile, software development has a significant positive impact in increasing efficiency, service quality, innovation and productivity. This really helps organizations to be able to keep up with technological developments and achieve better business goals.

Some of the advantages in software development will be briefly described as follows:

  1. Increased Business Efficiency
    The first advantage in software development automates repetitive tasks, thereby saving time and human labor. Advantage in software development optimizes business processes, ensuring more efficient use of resources, so that cost waste can be prevented.
     
  2. Improved Service Quality
    The next advantage in software development is personalizing service according to user preferences, increasing user satisfaction and quality of experience, making it easier to carry out real-time monitoring and improvements. Real-time monitoring of services and quick detection of problems for immediate repair, thereby improving overall service quality.
     
  3. Technological Innovation
    The following advantages in software development encourage the creation of new products and services that can bring innovation to the market and meet evolving needs. This software development process enables the integration of the latest technologies, helping organizations to stay relevant and competitive in ever-changing market
     
  4. Increase Productivity
    The final advantage in software development is creating special productivity tools that help employees perform tasks more quickly and effectively, thereby enabling effective collaboration. So this collaborative application makes team work easier, increase coordination and productivity of team members in achieving common goals.
     

Here are several ways companies can increase revenue through the application of AI:

  1. Increase sales
    Virtual assistants and chatbots using AI can help organizations generate sales. Some examples include furniture retailer IKEA launching a generative AI tool for its customers. Ikea’s AI virtual assistants lets user design living room and shop for furniture. Additionally there is a jewelry insurance company, creating a GenAI-based customer service chatbot that has reduced cancellation rates on chat inquiries. Lower cancellations rates reflect more successful customer interactions, potentially increasing sales.
     
  2. Reduce Customer Churn
    AI enables client retention, reduces revenue losses and improves their customer lifetime value metrics. In capacity, AI can profile the attributes of business’s customer base, leveraging historical data about departed customers. This information allows managers to identify at-risk mission. This technology offers a higher level of personalization when incorporated into AIpowered chatbots and contact centers. When business transform customer experiences, the result is lower churn rates.
     
  3. Strengthening Recommendations Engines
    Artificial Intelligence (AI) algorithms can examine customer data on previous purchases to individualize product recommendations with greater precision. This increased personalization provides a key business benefit of AI: the ability to cross-sell and up-sell new products and services to customers more easily. Recommendation engines also encourage users to linger on social media platforms, which in turn attracts advertisers.
     
  4. Accelerate Marketing Strategy
    Marketing may not directly generate, but effective practise will support the sales funnel. Generative AI’s ability to quickly create content can help organizations produce marketing materials ranging from newsletter to video ads. Marketing can leverage the benefits of Artificial Intelligence (AI) personalization to create marketing messages tailored to customer interest.
     
  5. Detecting Fraud
    If there is suspicious activity, it will be immediately detected by Artificial Intelligence (AI) and will immediately stop payments to fraudsters, thereby maintaining revenue growth. Financial services companies typically use in AI in this capacity. One example is Capital One, which uses machine learning algorithms to spot anomalies and ward of credit and fraud. Additionally e-commerce companies use ML to target fraudulent orders. The technology’s ability to identify patterns in user behavior lends itself to such fraud detection use cases.
     
  6. Developing New Products and Services
    AI can help companies create new products and speed up development cycles. AI can also speed up the delivery of digital products. AI coding assistants have helped companies in speeding up software development by 20% more. The result is faster time to market for customer-facing and revenue-generating applications.
     
  7. Provides Predictive Maintenance
    Equipment downtime in areas such as manufacturing and fleet management results in lost revenue. Predictive maintenance, which is among the top ML use cases, identifies equipment that is close to failure. These insights allow plant managers to schedule downtime to perform repairs, avoiding outages and missed delivery schedules.
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Conclusion

One of the trusted Bandung software houses is BTS.id (Bridge Technology Service). BTS.id is a company that operates in the field of software development and IT solutions, so manufacturing industry in Indonesia will be greatly helped and facilitate work operations while increasing data accuracy as a reference for large quantity reports

As a software house, BTS.id develops applications, creates software tailored to clients’ specific needs, provides services to maintain, update and repair software. Bys.id as a software house accepts technology consultations, so it can help you find the best and most appropriate technology solutions according to your business needs. What are you waiting for? Contact us now!

Transforming LMS with Artificial Intelligence: Personalized Content Recommendations for Effective Learning
icon-calendar 16 days ago
icon-category Artificial Intelligence

A Learning Management System (LMS), often also called a Learning Management Platform, is generally software designed to create, distribute and manage the delivery of learning material. Specifically, an LMS is a web-based software program for the management, documentation, monitoring, reporting, administration and distribution of educational content, training programs, technical manuals, instructional videos or digital library materials, and learning and development projects.

LMS (Learning Management System) is not machine learning, but machine learning is often used in LMS to enhance its functionality. A Learning Management System (LMS) combines technology and teaching methods to create a more interactive, flexible, effective, and efficient learning environment, while machine learning is a technology within the field of Artificial Intelligence (AI) that enables systems to learn from data and make predictions or decisions without explicit programming. Machine learning (ML) is more focused. However, both of these fields go beyond the basics of automation and programming to produce outputs based on complex data analysis. Machine Learning has limited scope and focus compared to Artificial Intelligence (AI). AI includes several strategies and technologies that are beyond the scope of machine learning.

Artificial Intelligence Based Learning Management System

What is an Artificial Intelligence-based Learning Management System?

A Learning Management System (LMS) is a web- or mobile-based electronic learning platform focused on training students or company employees. LMS allows you to organize structured learning processes in a remote mode, which is particularly useful in remote team environments. LMS is well-suited not only for employee training programs but also for orientation, onboarding, and more, while simultaneously reducing time and budget requirements. The effectiveness of LMS in delivering quality education has received a significant boost with the introduction of Artificial Intelligence.

Some benefits of Artificial Intelligence integrated into LMS:

  1. The first benefit is that an Artificial Intelligence-powered learning platform is first and foremost about personalized content and learning.
  2. Then the second benefit of an AI-based LMS includes all routine administrative tasks.
  3. The third benefit is automating content creation.
  4. Then the next benefit is that an AI-enabled LMS provides data-based analytics.
  5. The next benefit is ensuring engagement and consistency of learning and increasing knowledge retention.
  6. The next benefit is a smart e-Learning solution that also saves time and money.
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Integrating Personalized Learning into LMS

Personalized learning has emerged as a game-changer in education, offering tailored approaches for learners to acquire knowledge and skills. But how can organizations integrate personalized learning into existing Learning Management Systems (LMS) to create a truly adaptive and learner-centered environment? Let’s discuss the key steps and strategies for integrating personalized learning into an LMS. From planning learning paths to delivering targeted content, evaluating learner progress, leveraging data-driven insights, and implementing personalized learning within your organization.

  1. Choosing the Right LMS for Personalized Learning
    When implementing personalized learning, selecting the right Learning Management System (LMS) is critical. The LMS must have the features necessary to support various aspects of personalized learning, including planning learning paths, deliver targeted courses and content, evaluate skill acquisition, and access learner and program data
    1. Integration
      The first consideration when choosing the right LMS is integration. Ensure the LMS integrates with existing systems, such as HR platforms, to capture relevant employee information and streamline workflows. This integration allows the LMS to align personalized learning paths with organizational goals and align desired learning activities.
       
    2. Learner-Centered LMS Approach
      Find an LMS that prioritizes learners's needs and preferences, providing them with a customized e-learning experience. This learner-centric LMS empowers individuals to take charge of their learning journey, which fosters a sense of engagement and motivation.

      Key Features to Consider:
      1. Comprehensive Reporting
        An LMS with powerful reporting capabilities enables organizations to track learner progress, assess the effectiveness of personalized learning initiatives, and make data-driven decisions.
         
      2. LMS integration
        Find an LMS that seamlessly integrates with other learning tools or content providers, allowing for the delivery of targeted courses and content.
         
      3. User Friendly Interface
        The LMS should have an intuitive and easy-to-navigate interface, making it easy for learners to access and engage with personalized learning content.

         
  2. Plan a Personalized Learning Path
    To effectively plan personalized learning paths, it is crucial to have a Learning Management System (LMS) that supports learner-driven customization. The LMS should connect to HR systems and capture relevant employee information, such as job roles, skills, and learning preferences. This data forms the foundation for creating personalized learning paths that align with individual needs. Workflows within the LMS are another critical aspect of planning personalized learning paths and must be well-managed.

    The LMS should facilitate the design, assignment, and monitoring of learning paths, ensuring that learners receive the right content at the right time.

    Automation plays a crucial role in managing learning paths. By leveraging rules or AI, organizations can automate the assignment of learning activities based on predefined criteria. This streamlines the process and ensures that personalized learning paths are delivered efficiently to each learner.

     
  3. Deliver Targeted Courses and Content
    With learner-focused training, employees have the ability to choose from a variety of training interventions and resources. This may include options such as podcasts, e-Learning courses, webinars, or face-to-face interactions. By presenting a variety of learning formats, LMS ensures that individuals can choose the method that best suits their learning style and preferences. 

    Furthermore, the LMS should support multiple literacies from the same course. This allows learners to review and strengthen their knowledge, providing opportunities for continuous improvement and deeper understanding.

    Once a common learning flow is set up, it is critical for a Learning Management System (LMS) to provide choice and control over the learner's learning journey. By offering a variety of courses and targeted content, learners can personalize their training experience and engage with material relevant to their individual needs and goals.

     
  4. Evaluate Learner Progress
    A fundamental component of personalized learning is evaluating a learner's progress. By assessing skill acquisition, conducting learner progress assessments, and providing personalized feedback, organizations can ensure that their employees are on track to achieve their learning goals.

    Some things to consider at this point are:
    1. Establish Defined Settlement Thresholds
      This threshold serves as a benchmark to determine whether learners have successfully mastered the knowledge and skills required. By setting clear expectations, learners are motivated to strive for excellence and continuously improve their abilities.
       
    2. Combining Results Across the Program to Gain a Comprehensive Understanding of Individual Progress
      This analysis allows organizations to identify strengths and areas that need improvement, enabling them to offer targeted interventions and support when needed.
       
    3. Providing Feedback and Assessment for Specific Courses
      It is another important aspect in evaluating learner progress. Personalized feedback highlights areas for improvement and celebrates achievements, reinforcing learners' motivation and commitment to their learning journey.

       
  5. Comprehensive Reporting Capabilities
    At the individual level, reports can show employee achievements, areas for improvement, and overall skill development. Evaluations based on this data help inform the next steps for individuals, allowing the organization to tailor the learning experience to their unique needs.

    To effectively evaluate learner progress, the LMS must offer comprehensive reporting capabilities at both the individual and course levels. These reports provide valuable insights into learner performance, enabling organizations to track their progress over time.

    At the course level, reports provide an overview of the effectiveness of various learning experiences. This information allows organizations to identify the most impactful courses and make data-driven decisions when designing future training initiatives.
     
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Are you still unsure if implementing an AI-based Learning Management System is a rational choice for your company? If so, let's review the key advantages of this technology for modern educational facilities:

  1. Simplifying the Language of Instruction
    The first advantage is simplifying the language of instruction. Many teachers enter the education field after pursuing studies in other sectors. The common path is to specialize in 'practical' fields such as English or programming, then transition to a Master's degree in education. This approach sometimes creates significant challenges for the specialists: they are competent in their field but do not know how to explain concepts in simple language.

    Artificial Intelligence offers the opportunity to solve this problem once and for all. Modern language models can explain many concepts in a learner-oriented way by generating their own educational content. This means it is possible to create customized tasks and even texts that explain theoretical information, taking into account the learner's skills.

     
  2. Real-Time Assistance for Teachers
    The next advantage is real-time assistance for teachers. In fact, challenges in quickly understanding a single concept can hinder students' ability to learn additional material later on. If you miss this information, learning further training content becomes difficult and often impossible.

    Real-time assistance for teachers through Artificial Intelligence devices solves the existing skill gap. AI tools immediately detect when a student is struggling to understand certain concepts. With this information, teachers can decide which aspects of learning to target and address the individual needs of the students. With the emergence of these devices, we finally have a reliable tool to prevent students from falling behind in their educational journey.

     
  3. Improved Accessibility of Content
    The next advantage you can gain is improved accessibility of content. AI-powered LMS can leverage speech recognition technology to convert text into spoken words. This is important for making learning opportunities accessible to individuals with visual impairments. AI can generate alternative formats, such as braille or capital letters. This means the technology can meet the needs of learners with specific disabilities. 

    Additionally, AI-based LMS can also use language translation capabilities to provide content in multiple languages. In this way, learners who are not fluent in the original language can access materials from other countries.

     
  4. Automated Review of Student Performance
    The automated review of student performance is the next advantage of AI-based LMS. Conducting performance analysis of students is usually a significant time-waster. Artificial Intelligence solves this problem once and for all.

    AI can review tests and even more complex assignments with minimal human input. This means that teachers have the opportunity to spend more time preparing high-quality teaching materials. The ability of AI to independently assess student information is also important from the perspective of preventing bias. Automated systems have no preferences: they are impartial regarding all aspects of human personality.
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Conclusion

Overall, AI in LMS is a promising technology. AI can significantly enhance the customization of modern education. Although some challenges commonly arise in its implementation, such as ethical issues, lack of human input and face-to-face communication, reduced ability to teach complex decision-making and problem-solving, and the lack of government regulation. Nevertheless, we believe these issues can be addressed through a focus on hybrid learning practices and the use of modern communication technologies. Better government regulation will also establish better standards that can prevent bias and lack of transparency.

If you want to create a high-quality LMS, feel free to contact our company, BTS.id (Bridge Technology Service), and we are always ready to provide the best information and advice for the interests of your business, tailored to what your company needs.

AI Analytics In E-Commerce, Why It Matters?
icon-calendar a month ago
icon-category Artificial Intelligence

Artificial intelligence (AI) is no longer just the stuff of scary futuristic movies, it’s recently burst into the headlines and is suddenly just everywhere. Its impact on the job market, whether we trust things such as the integrity of news on social media, and ultimately whether humanity survives alongside it are unsettling things to worry about.

How you can boost sales and engagement with AI analytical for e-commerce? Discover how AI revolutionizes online retail for competitive advantages. AI analytics has significantly transformed the e-commerce industry by optimizing processes, enhancing efficiency, and providing deeper insights for decision-making.

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Source: The Business Research Company

According to the Artificial Intelligence in E-Commerce Global Market Report 2024 by The Business Research Company, the AI in e-commerce market is projected to reach a size of $ 14 billion by 2028. This growth is driven by the increasing popularity of online shopping. AI analytics is crucial in e-commerce for several compelling reasons. AI analytics also brings numerous benefits to e-commerce, enhancing various aspects of business operations and customer engagement.

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Here are the key benefits:
Benefits of AI Analytics in E-commerce

  1. Identifying optimal pricing
    When you can accurately and consistently hit the pricing optimization sweet spot, profits go up. And with AI-powered software and the large datasets it can analyze, it’s infinitely easier to hit that moving target. AI algorithms analyze customer behavior and preferences to recommend products that are more likely to be purchased, increasing conversion rates. AI analytic adjusting prices in real-time based on demand, competition, and customer behavior ensures optimal pricing strategies that maximize revenue.
     
  2. Making the right recommendations
    One aspect of personalization, recommendations, is in a class of its own. Ecommerce personalization in an online store goes considerably beyond what shoppers can expect to enjoy in a brick-and-mortar store. AI analytic can retrieve actionable insights about shoppers such as how they’ve browsed and their purchase history, that allow accurate prediction of what they want and recommendation of the right item or similar products. AI analytic understanding customer preferences, purchase patterns, and pain points allows businesses to refine their offerings and marketing strategies also analyzing customer reviews and feedback help businesses gauge customer sentiment and address issues proactively.
     
  3. Intuitively cross-selling and upselling
    Which products would your shoppers be likely to add to their carts as they’re happily checking out? Product recommendation technology is yet another ecommerce tool enhanced by artificial intelligence. Targeted Campaigns for AI enables precise audience segmentation and targeting, ensuring that marketing efforts reach the right customers with the right message. You can use frequently bought together data created by collaborative filtering to inform how you respond.
     
  4. Preventing online selling fraud
    The good news: AI can fight that problem in some advanced ways. It used to be that armies of employees had to painstakingly review transactions for anomalies. How machine-learning algorithms can engage in fraud detection, using complex rules to analyze millions of big-data points and instantly spot suspicious behavior, is impressive. For instance, a criminal trying to commit a fraudulent transaction might enter an incorrect shipping address that something a human would never be able to notice or respond to, much less in the amount of time an algorithm could flag it.
     
  5. Automating customer support
    When it comes to good customer sevice, chatbots and other types of virtual assistants make excellent online support reps. AI analytic is obviously involved in pretty much everything about a chatbot. Their functionality can leverage NLP to help them determine shoppers needs, and with applications of machine learning solutions, they can improve their knowledge over time to become even wiser digital butlers. AI analytic analyzes customer data to create personalized loyalty programs that reward frequent shoppers and encourage repeat business. For proactive engagement AI predictive analytics help businesses engage with customers proactively, addressing their needs and concerns before they escalate.
     
  6. Reducing manual labor
    Aside from impacting what goes on at the technology levels in an ecommerce store, as with other industries, AI can take on mundane daily tasks and lower employee headcount. The phenomenon of human retail associates being displaced by bots and automation is unfortunate, to be sure, but when it comes to the bottom line, not many companies argue with the fact that AI is the superior hire.
     
  7. Winning shoppers with personalization
    E-Commerce personalization has been a hot commodity for a while, but AI has put it on steroids. With AI analytic, computers can capture and process huge amounts of customer data and provide insightful real-time analytics, allowing websites to act like trustworthy guides that suggest the right items and offer attractive discounts.

Impact your revenue with AI search

The ecommerce world has become an extremely competitive place, as a result of COVID-19, which brought locked-down people online in droves, followed by their settling in as online shoppers happy to keep reveling in the pleasures of digital shopping. That sounds daunting, but while a majority of businesses have invested in AI technologies, only about 15% are actually deploying AI capabilities. So if your retail site is getting lost in the tidal wave of ecommerce industry craziness, in terms of major decision making, applications of artificial intelligence could be the life raft for your business before it goes crashing down.

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Photo Generated by AI

Conclusion

AI analytics is revolutionizing e-commerce by enhancing personalization, improving operational efficiency, and providing deeper customer insights. As technology continues to evolve, its impact on e-commerce is likely to grow, offering even more innovative ways to engage and serve customers. AI analytics has revolutionized the e-commerce industry by providing valuable insights and optimizing various aspects of the business. By leveraging AI analytics, e-commerce platforms can enhance customer experience, improve operational efficiency, and gain a competitive edge in the market. As AI technology continues to advance, its applications in e-commerce will expand, driving further innovation and growth in the industry.

BTS.id (Bridge Technology Service), as a leading technology company, provides comprehensive services and support to help businesses harness the power of AI and drive their online growth. Let's partner with BTS.id (Bridge Technology Service) and make AI the primary driver of your e-commerce success.

Meningkatkan Konversi dengan Web AI di E-commerce
icon-calendar 4 months ago
icon-category Artificial Intelligence

Setelah pandemi Covid-19 berlalu, E-Commerce telah menjadi segmen bisnis yang berkembang pesat serta banyak mendapatkan perhatian. Keinginan untuk memenuhi kebutuhan, serta keterbatasan yang diberlakukan kala itu terus beradaptasi demi berbelanja untuk memenuhi kebutuhan hidup, dan dampaknya industri e-commerce juga turut berkembang.

Meningkatkan konversi dengan Web AI di e-commerce melibatkan berbagai teknik dan alat yang memanfaatkan kecerdasan buatan untuk menarik perhatian pelanggan dan mempertahankan pelanggan, serta mendorong mereka untuk melakukan transaksi pembelian.

 

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Tanpa kita sadari atau tidak, web AI telah disematkan di banyak sekali sisi dari e-commerce ini. Mulai dari penyusunan produk yang direkomendasikan untuk user, lalu mengamati serta menganalisis kebiasaan dan pola user dala berbelanja, masalah kemanan atau proteksi pada metode pembayaran, dan lain sebagainya.

Beberapa strategi utama dalam meningkatkan konversi dengan web AI di E-commerce adalah sebagai berikut :

1. Personalisasi Konten dan Produk
Dengan menganalisis riwayat penjelajahan, interaksi, dan demografi user, memungkinkan web AI untuk membuat rekomendasi produk atau layanan yang relevan secara real-time. Penyesuaian riwayat ini mendorong user menjelajah lebih jauh, hingga akhirnya melakukan pembelian.
Dengan menggunakan algoritma AI memungkinkan untuk menganalisis perilaku belanja user dan merekomendasikan produk yang relevan. Amazon menggunakan AI untuk menampilkan produk yang mungkin disukai pengguna berdasarkan riwayat penelusuran dan pembelian.
 

2. Chatbot dan Asisten Virtual
Chatbot web AI ini dapat menyediakan dukungan pelanggan yang cepat dan efektif di situs web. Chatbot AI dapat menangani pertanyaan umum, membantu pengguna menavigasi situs, dan menyarankan produk, bahkan di luar jam kerja. Memangkas waktu tunggu dan meminimalisir kesulitan, chatbot meningkatkan kepuasan pelanggan dan melancarkan proses pembelian.
 

3. Optimasi Mesin Pencari (SEO) dan Pencarian Cerdas
AI menganalisis pola pembelian, ulasan pelanggan, dan tren industri untuk merekomendasikan produk dan layanan yang paling relevan kepada pengunjung.
Menggunakan web AI untuk memberikan hasil pencarian yang lebih relevan berdasarkan preferensi dan riwayat penelusuran user, memungkinkan para user untuk mencari produk menggunakan gambar atau perintah suara, meningkatkan kenyamanan dan menemukan produk lebih cepat.
 

4. Penerapan Dynamic Pricing
Dynamic pricing merupakan sebuah sistem AI yang dapat membantu pengguna menyesuaikan harga produk, serta memberikan rekomendasi perubahan harga, berdasarkan harga yang diberikan oleh kompetitor di platform yang sama. Web AI menyesuaikan harga produk secara real-time berdasarkan permintaan, persaingan, dan perilaku pelanggan. Bahkan AI memprediksi lonjakan permintaan dan menyesuaikan inventaris serta harga secara proaktif.

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5. Verifikasi Pembayaran yang Solid
Beberapa e-commerce menggunakan sistem verifikasi pembayaran yang lebih baik untuk menjamin keamanan transaksi yang dilakukan. Keberadaan web AI dalam E-commerce juga dapat dilihat pada penambahan layer verifikasi pembayaran sehingga lebih solid. Pada proses pembayaran akan dilakukan dengan cara berlapis yang lebih aman, sehingga dipastikan hanya pengguna yang sah saja yang dapat melakukan transaksi dengan menggunakan akun yang bersangkutan.
 

6. Keamanan dan Pencegahan Penipuan
Menggunakan teknologi AI untuk verifikasi identitas pengguna, mengurangi risiko penipuan identitas. Web AI dapat digunakan untuk memantau dan menganalisis transaksi secara real-time, mencari pola yang mencurigakan dan anomali yang dapat menunjukkan aktivitas penipuan. Algoritma pembelajaran mesin (machine learning) dapat dilatih menggunakan data historis untuk mengenali transaksi yang mungkin berisiko tinggi. Dengan menggunakan AI untuk memantau transaksi dan mendeteksi aktivitas mencurigakan secara real- time dapat meningkatkan kepercayaan pelanggan. 


Lalu bagaimana dengan benefit dengan diterapkannya web AI dalam e-commerce?

Manfaat dari penggunaan kecerdasan buatan (AI) dalam e-commerce sangatlah beragam dan signifikan. Berikut adalah beberapa manfaat utamanya:

  • Peningkatan Efisiensi Operasional
    AI dapat mengotomatisasi tugas-tugas operasional seperti manajemen inventaris, pengelolaan rantai pasokan, dan pemrosesan pesanan. Hal ini membantu mengurangi biaya operasional dan meningkatkan produktivitas, memungkinkan fokus lebih besar pada strategi bisnis yang lebih tinggi.
     
  • Penyaringan Penipuan yang Lebih Efektif
    AI dapat digunakan untuk mendeteksi dan mencegah penipuan dengan lebih baik, baik dalam transaksi keuangan maupun keamanan data. Sistem AI dapat secara otomatis mengenali perilaku mencurigakan dan mengambil tindakan preventif secara real-time.
     
  • Inovasi Produk dan Layanan
    AI memungkinkan e-commerce untuk mengembangkan produk dan layanan baru yang lebih sesuai dengan kebutuhan pelanggan. Melalui analisis data dan umpan balik pelanggan secara real-time, bisnis dapat beradaptasi lebih cepat terhadap perubahan pasar dan meningkatkan daya saing mereka.
     
  • Analisis Data yang Mendalam
    AI memungkinkan analisis yang lebih dalam terhadap data pelanggan dan transaksi. Dengan menggunakan teknik-teknik seperti machine learning, AI dapat mengidentifikasi pola-pola tersembunyi dalam data yang dapat digunakan untuk membuat keputusan bisnis yang lebih baik dan memprediksi tren pasar.
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KESIMPULAN
Dengan memanfaatkan web AI di platform e-commerce, bisnis dapat meningkatkan konversi melalui personalisasi yang lebih baik, layanan pelanggan yang lebih responsif, penargetan pemasaran yang lebih tepat, dan pengalaman belanja yang lebih mulus dan aman. Integrasi AI tidak hanya membantu dalam menarik dan mempertahankan pelanggan tetapi juga dalam mengoptimalkan operasi bisnis secara keseluruhan.

BTS.id (Bridge Technology Service), sebagai perusahaan teknologi terkemuka, menyediakan layanan dan pendampingan komprehensif untuk membantu bisnis memanfaatkan kekuatan AI dan juga mendorong pertumbuhan online e-commerce Anda.
Mari bermitra dengan BTS.id (Bridge Technology Service) dan jadikan AI sebagai pendorong utama kesuksesan e-commerce Anda.

Ancaman Cyber Attack dan Pentingnya Cyber Security di Sektor Perbankan
icon-calendar a year ago
icon-category Cyber Security

Kasus kebocoran data atau peretasan kembali terjadi di Indonesia. Setelah dihebohkan dengan peretasan 1,3 miliar data Kartu SIM oleh hacker Bjorka pada tahun 2022 lalu, kini peretasan data pribadi kembali terjadi. Terbaru, dugaan diretasnya 204 juta data Daftar Pemilih Tetap (DPT) dari website KPU dengan metode phising. Bahkan hacker anonim bernama Jimbo menjual data tersebut dengan harga US$ 74.000 atau Rp. 1,2 Miliar di darkweb BreachForums - dimana situs ini memang biasa digunakan oleh para hacker untuk menjual data yang berhasil dicuri. Dilansir dari BBC Indonesia, data yang diretas dan dijual tersebut memang cocok dengan DPT yang dimiliki oleh KPU berdasarkan 500.000 data sampel yang dibagikan di BreachForums.

Peretasan yang dilakukan oleh hacker memang menjadi sebuah masalah besar di era digital saat ini, karena bisa saja data pribadi disalahgunakan oleh pihak-pihak yang tidak bertanggungjawab. Seperti pada peretasan data DPT di website KPU, data yang diretas oleh hacker anonim Jimbo meliputi NIK, Nomor KK, Nomor KTP, Nomor Paspor untuk pemilih di luar negeri, Nama Lengkap, Jenis Kelamin, Tanggal & Tempat Lahir, Status Pernikahan, Alamat Lengkap (RT, RW, Kelurahan, Kecamatan, dan Kota/Kabupaten), hingga kodefikasi TPS. 

 

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Sumber: Kominfo

 

Mengapa Bisa Terjadi Peretasan Data Pribadi Oleh Hacker?

Kasus peretasan seperti yang sudah dijabarkan diatas memang bukan sekali saja terjadi di Indonesia. Dari tahun ke tahun, kasus peretasan tidak berkurang melainkan semakin banyak terjadi. Mengapa bisa terjadi? Peretasan yang dilakukan oleh hacker karena data security yang buruk. Para hacker biasanya memanfaatkan kelemahan atau celah keamanan yang ada pada website tersebut.

Dilansir dari Kominfo, terdapat 4 modus peretasan. Pertama, peretasan bisa terjadi karena adanya injection SQL yang membuat hacker dapat mengakses data lewat server melalui kesalahan yang ada dalam filter inputnya. Kedua, hacker juga dapat mengakses data akun pengguna milik orang lain yang kemudian melalui akun tersebut dapat masuk ke akun-akun lainnya atau biasa disebut Insecure Direct Object References (IDOR). Ketiga, Common Vulnerabilities and Exposures (CVE) hacker dapat melakukan peretasan karena aplikasi atau website yang dipakai sudah tidak di update lagi. Keempat, peretasan bisa terjadi karena human error atau kesengajaan karena minimnya pengetahuan terkait cyber security.

Kebocoran data yang terjadi bisa saja dikarenakan banyak faktor, seperti malware, kesalahan konfigurasi softwaresocial engineering, keamanan software yang lemah, ataupun human error. Oleh karena itulah, pemerintah Indonesia melalui Kominfo juga sudah mengeluarkan peraturan perundang-undangan terkait perlindungan data pribadi, seperti UU PDP dan UU ITE.

 

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Apa Bahaya yang Ditimbulkan jika Data Pribadi Bocor?

Dengan perkembangan teknologi informasi dan digitalisasi data, dapat memudahkan dalam menjalani kegiatan atau bahkan pekerjaan karena lebih efisien untuk mengaksesnya secara digital. Namun, dibalik kemudahan tersebut salah satu ancaman yang cukup mengkhawatirkan adalah keamanan data pribadi. Kebocoran data yang dilakukan secara sengaja maupun karena adanya peretasan dapat mengakibatkan kerugian bagi pemilik data tersebut.

Banyak sekali kerugian yang ditimbulkan jika data pribadi bocor, seperti penyalahgunaan data pribadi oleh pihak yang tidak bertanggungjawab. Ini dapat berpotensi terjadinya tindak kriminal dan kerugian secara finansial seperti pemerasan, penipuan, pengancaman, bahkan bullying secara online. Data pribadi juga dapat dijual oleh hacker kepada pihak yang tidak diketahui apa motif dan tujuannya. Hal ini juga membuat hak kendali atas data pribadi tidak dapat dikontrol oleh pemiliknya. 

 

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Sektor Keuangan Rentan Mengalami Cyber Attack dan Penyalahgunaan Data Pribadi

Transformasi dan meningkatnya aktivitas digital ternyata juga berbanding lurus dengan semakin masifnya cyber attack. Perbankan menjadi salah satu sektor dengan arus data yang intensif. Menurut Laporan IMF, sektor perbankan sangat rentan mengalami cyber attack yang dilakukan oleh para hackerCyber attack yang paling sering terjadi diantaranya skimming, hacking, spoofing, phishing, business email compromise, defacing, hingga social engineering. Cyber attack ini mengakibatkan kerugian rata-rata tahunan di sektor jasa keuangan hingga mencapai US$100 Miliar.

Berdasarkan laporan Bank Indonesia, bahwa jaringan mereka mengalami serangan ransomware. Insiden cyber attack tidak hanya meningkat dari sisi kuantitas, melainkan juga dari sisi kecanggihan serangan yang dilakukan oleh hackerCyber attack pada sektor jasa perbankan menyerang pada platform dan aplikasi mobile banking yang saat ini memang sangat digunakan untuk mempermudah transaksi. Adanya cyber attack tersebut mempengaruhi layanan dan stabilitas sistem keuangan, seperti layanan ATM dan mobile banking tidak dapat diakses. Selain itu, kerugian secara finansial dan psikologis yang dialami oleh nasabah membuat kepercayaan nasabah juga akan semakin menurun jika cyber attack semakin marak dalam menyerang sektor perbankan.

Oleh karena itulah, data privacy management menjadi elemen wajib dan harus dilaksanakan di era digital, khususnya sektor perbankan. Untuk menjaga integritas sektor jasa perbankan, pemerintah melalui Otoritas Jasa Keuangan (OJK) sudah melakukan himbauan untuk meningkatkan tata kelola IT dan manajemen resiko. OJK juga turut mengembangkan dan mendukung perbankan digital, meningkatkan keamanan melalui produk hukum serta kebijakan untuk cyber security.

 

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Pentingnya Cyber Security untuk Melindungi Data Pribadi

Kasus kebocoran data pribadi dapat berasal dari lemahnya sistem keamanan pada penyelenggara sistem elektronik ataupun bisa jadi karena kelalaian dari manusia yang mengakibatkan data pribadi diretas. Kerahasiaan dan perlindungan terhadap data pribadi sangatlah penting. Tidak hanya pemerintah, namun hampir seluruh perbankan, perusahaan dan pemilik bisnis lain yang juga melakukan digitalisasi data dan wajib memastikan bahwa kerahasiaan dan perlindungan data terjamin dengan baik. Cyber security digunakan untuk mencegah adanya ancaman cyber attack yang menargetkan pencurian data pribadi, malware dan virus, denial of service ataupun aktivitas ilegal lainnya.

Cyber attack tidak hanya merugikan secara finansial, kehilangan data, kerusakan pada sistem melainkan juga dapat menurunkan tingkat kepercayaan dan menurunnya reputasi pemerintah, perbankan atau perusahaan. Maka dari itu, cyber security adalah hal wajib karena melindungi data pribadi adalah tanggung jawab bersama, baik itu individu, organisasi, perusahaan, maupun pemerintah agar data pribadi dan sistem tetap terlindungi, aman, dan tidak disalahgunakan oleh pihak yang bertanggungjawab.

Untuk memastikan tidak terjadi cyber attack oleh hackercyber security menjadi elemen wajib di era digitalisasi saat ini. Apalagi untuk sektor perbankan, perlindungan data pribadi sebagai sebuah kewajiban dan bentuk komitmen Bank kepada nasabah. Ini harus dilakukan agar sektor perbankan semakin kompetitif dan kepercayaan nasabah semakin meningkat karena merasa data pribadi dan data keuangan mereka terjaga dengan baik.

 

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Photo by Pixabay: https://www.pexels.com/photo/security-logo-60504/

 

Solusi: Antisipasi Cyber Attack dengan Cyber Security

BTS.id memiliki tim yang profesional dan sudah berpengalaman dalam mengatasi cyber attack yang dapat merugikan bisnis Anda. BTS.id terus berinovasi untuk meningkatkan cyber security melalui layanan dan program yang diperuntukan melindungi data privasi Anda. Dengan menggunakan cyber security yang tepat dan efektif dapat meminimalisir adanya dan dampak negatif dari cyber attack. Anda dapat berkonsultasi dengan tim kami karena BTS.id selalu siap membantu permasalahan Anda. Ingat, perlindungan data pribadi adalah hal penting dan sebuah kewajiban. Jangan sampai kebocoran data pribadi maupun data perusahaan akan merugikan Anda di masa depan!

The 5G Era: A Revolution in Connectivity and Industry Transformation
icon-calendar a year ago
icon-category Inspiration

5G network technologies are the fifth generation of cellular network technology. They offer higher speeds, lower latency, and greater capacity than previous generations, and have the potential to revolutionize the way we live and work.

However, 5G networks are still in their early stages of development, and it will take several years for them to be widely available. However, the potential benefits of 5G are significant, and it is likely to have a major impact on the way we live and work in the years to come.

According to Business Insider, 5G first came in 2018. However, the first commercial 5G networks were launched in 2019. While there isn't one definitive date for the official launch of 5G since it launched in a staggered fashion across different companies and countries, South Korea was known as the first country to launch 5G networks, with SK Telecom, KT Corporation, and LG Uplus all launching their networks in April 2019.

Around the same time, Verizon launched the first commercial 5G mobile service in parts of Chicago and Minneapolis, United States. A month later, the first commercial 5G network in the Middle East was launched in the United Arab Emirates (UAE) in May 2019.

Etisalat, the country's largest telecommunications operator, launched its 5G network in select areas of Dubai and Abu Dhabi. Du, the UAE's second-largest telecommunications operator, followed suit in June 2019. Kuwait, Qatar, and Jordan joined the 5G hype within July by launching their first commercial 5G network (Zain, Ooredoo, and Orange Jordan).

 

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What are the benefits of 5G technology?

5G technology is a significant advancement in cellular network technology that is expected to have a profound impact on our lives. 5G technology offers a range of benefits over previous generations of cellular networks, including:

Significantly faster data speeds: 5G can deliver peak data speeds of up to 20 gigabits per second (Gbps), which is about 20 times faster than 4G LTE. This means that you can download large files, stream high-definition video, and enjoy lag-free online gaming without any buffering.

Ultra-low latency: 5G has a latency of less than 1 millisecond, which is about 10 times lower than 4G LTE. This means that there is virtually no delay between sending a request and receiving a response, making it ideal for real-time applications such as video conferencing, online gaming, and remote surgery.

Massive capacity: 5G can connect up to 1 million devices per square kilometer, which is about 100 times more devices than 4G LTE. This means that 5G can support the growing number of connected devices in our homes, businesses, and cities, and can enable new applications such as the Internet of Things (IoT).

Improved reliability: 5G is designed to be more reliable than previous generations of cellular networks, with fewer dropped calls and a more consistent connection. This makes it ideal for critical applications such as self-driving cars and industrial automation.

Support for new applications: 5G's high speeds, low latency, and massive capacity will enable a wide range of new applications, including self-driving cars, VR and AR, and Internet of Things devices.

 

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How will 5G technologies transform our world?

5G technology is expected to have a transformative impact on our world in some ways. In the upcoming decade, 5G is poised to become an essential infrastructure for innovation. It will enable a wide range of new applications and services, and will make our lives more connected, efficient, and secure.

Here are some of the ways that 5G technology will transform our world: 

It will revolutionize the way we communicate: 5G will enable us to communicate with each other in new and innovative ways. For example, it will make it possible for us to have holographic video chats, and it will allow us to use augmented reality to overlay digital information onto the real world.

It will transform the way we work: 5G will make it possible for us to work more efficiently and effectively. In this case, drones can be employed to efficiently inspect infrastructure, while robots can be utilized to carry out hazardous tasks.

It will improve our quality of life: 5G will make it possible for us to have access to new and innovative services. For example, it will allow us to use smart home devices to control our homes remotely, and it will enable us to use self-driving cars to get around.

It will create new jobs and industries: 5G will create a wide range of new jobs and industries. The emergence of new technologies will lead to an increased demand for engineers and technicians with specialized skills. Additionally, these advancements will pave the way for the creation of innovative products and services.

It will make our cities more sustainable: 5G will make it possible for us to develop smarter and more sustainable cities. For example, it will allow us to use sensors to monitor traffic and pollution levels, and it will enable us to develop more efficient public transportation systems.

 

These are just a few of the ways that 5G technology will transform our world. It is a powerful technology that has the potential to change our lives for the better in many ways.

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Image by Gerd Altmann from Pixabay

BTS.id: the 5G network solution for companies in the Middle East

BTS.id, a leading 5G management provider in Indonesia, has now expanded its reach to the Middle East by offering advanced and reliable 5G network management solutions to companies in the region.

With extensive experience in the telecommunications field and deep expertise in 5G technology, BTS.id is ready to help companies in the Middle East optimize their 5G network performance and fully exploit the potential of this revolutionary technology.

Don't miss the opportunity to enhance your business performance and harness the full potential of 5G technology. Contact BTS.id today to consult with our team of experts and get a 5G network solution tailored to your needs.

Middle East and Smart City Transformation
icon-calendar a year ago
icon-category Inspiration

Smart city is not just a technological trend; it is a way of life. Smart cities use technology to improve the way we live, work, and play. Smart city is one of the most popular technology trends in the world today. This trend is also becoming increasingly popular in the Middle East, where many countries and cities are investing in smart technologies to improve the quality of life for their citizens.

However, this is where it all started

The term "smart city" was first popularized by Peter Schwartz, a futurist and author of the book The Art of the Long View: Planning For The Future In An Uncertain World in 1991. In his book, Schwartz predicted that cities of the future would use technology to become more efficient, environmentally friendly, and sustainable. From there, many countries around the globe have started their smart city initiative.

In the 2000s, the term "smart city" became even more popular with the development of the Internet of Things (IoT). IoT allows cities to connect various devices and systems so that they can collect and analyze data in real-time. Today, smart city has become one of the main trends in urban planning. Many cities around the world are developing smart city projects to improve the quality of life for their residents.

 

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Smart Cities in Arab World (Belal and Shcherbina, 2018)

But, what exactly is a smart city?

A smart city is an urban area that uses technology to improve the quality of life for its citizens and to better manage its resources. Smart cities use a variety of technologies, including information and communication technologies (ICT), the Internet of Things (IoT), artificial intelligence (AI), and data analytics. In short, according to TWI Global, a smart city uses a framework of information and communication technologies to create, deploy and promote development practices to address urban challenges and create a joined-up technologically-enabled and sustainable infrastructure. 

The purpose of smart city

The primary purpose of a smart city is to create an urban environment that yields a high quality of life to its residents while also generating overall economic growth. Smart cities leverage information and communication technologies (ICT) to enhance service levels, citizen well-being, sustainability, and economic development.

In addition, smart cities also have several secondary purposes, including enhancing citizen engagement and empowerment, improving efficiency and optimization, promoting data-driven decision-making, and fostering innovation and collaboration.

 

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https://streetscape.ae/smart-city/

Smart city initiative in the Middle East

Smart cities began to gain popularity in the Middle East in the early 2000s, coinciding with the development of information and communication technologies (ICT) in the region. As reported by World Future Energy Summit, the acceleration of smart city development in the Middle East is being driven by increased investment and collaboration among countries.

In 2007, the United Arab Emirates (UAE) government launched the Smart Cities Strategy program, aiming to develop 150 smart cities across the country. Now, the Middle East expects to invest nearly U.S. $50 billion in smart city projects through 2025.

Interest in smart cities grew further in the Middle East during the 2010s, driven by several factors:

1.       High urbanization rates in the Middle East: By 2022, an estimated 70% of the Middle East's population will reside in urban areas.

2.       The need to improve the efficiency and sustainability of cities: Cities in the Middle East face various challenges, including air pollution, traffic congestion, and resource limitations.

3.       The availability of increasingly sophisticated technology: Advanced ICT technologies enable cities in the Middle East to develop more innovative smart city solutions.

As the pioneer of smart city development in the Middle East, the United Arab Emirates is considered to be the country in the Middle East with the highest concentration of smart cities. The UAE has actively invested in developing smart city initiatives, and several of its cities rank among the most advanced in the world, including Masdar City, Dubai Silicon Oasis, and Lusail City. However, the most interesting this is, that NEOM—a new urban area planned by the Kingdom of Saudi Arabia—is set to be one of the most innovative cities in the world by automating the city and introducing a car-free transportation system, powered by renewable energy.

Here is a table listing some of the most notable smart cities in the Middle East:

City

Country

Notable Smart City Initiatives

Dubai

United Emirates Arab

Smart grids, smart transportation systems, smart buildings, smart lighting, smart parking

Abu Dhabi

United Emirates Arab

Masdar City (a sustainable city using renewable energy), smart grids, smart transportation systems, and smart water management

Riyadh

Saudi Arabia

King Abdullah Economic City (KAEC)—a planned smart city with smart grids, smart transportation systems

Muscat

Oman

Smart grids, smart transportation systems, smart water management

 

The challenges of smart city

Oh, is there any? Yes, a lot. While smart city offers a promising vision for the future of urban development, the implementation comes with several challenges. These challenges include:

l  Technological Complexity: Smart cities involve the integration of a wide range of technologies, including sensors, IoT devices, data analytics platforms, and communication networks. This complexity can make it difficult to ensure that all systems are compatible, interoperable, and secure.

l  Data Privacy and Security: Smart cities collect vast amounts of data about citizens, infrastructure, and urban activities. This raises concerns about data privacy, security, and the potential for misuse of personal information.

l  Cost and Funding: Implementing smart city initiatives can be expensive, requiring significant investments in infrastructure, technology, and expertise. Securing funding for these projects can be challenging, especially for cities with limited resources.

l  Public Acceptance and Engagement: Gaining public acceptance and ensuring citizen engagement are crucial for the success of smart city initiatives. Citizens need to understand the benefits and potential risks of smart city technologies and have opportunities to participate in decision-making processes.

l  Integration with Existing Systems: Smart city technologies need to be integrated with existing urban infrastructure and systems, such as transportation networks, energy grids, and waste management systems. This integration can be complex and requires careful planning and coordination.

Building smart city requires a collaborative effort from government agencies, private sector companies, research institutions, and citizens. By working together, smart cities can realize their potential to create more sustainable, livable, and equitable urban environments for all.

To achieve this goal, it is crucial to establish a strong supporting ecosystem. This involves the development of a robust digital infrastructure, including advanced communication networks, cutting-edge technology platforms, and efficient data management systems. A reliable digital infrastructure will facilitate the integration of various smart city services, ranging from transportation to energy management, creating a connected and effective environment. With a solid foundation in digital infrastructure, smart cities can better optimize resources and deliver maximum benefits to their communities.

 

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Photo by Pixabay: https://www.pexels.com/photo/high-rise-buildings-during-night-time-photo-219692/

Partnering with BTS.id for a sustainable future

In the era of digital transformation, cities are evolving into dynamic ecosystems that leverage technology to enhance citizen well-being, optimize resource management, and drive economic growth. BTS.id stands as a trusted partner in this transformation journey, providing comprehensive IT-managed services and software development solutions that empower smart cities to reach their full potential.

As cities embrace technology to enhance their livability and sustainability, BTS.id is ready to empower them with the IT expertise and software solutions they need to thrive. Contact us today to discuss how we can help your city become a leader in the smart city revolution!


 

Sales Force Automation: Solusi Untuk Meningkatkan Pertumbuhan Bisnis Anda
icon-calendar a year ago
icon-category Sales Force Automation

Dalam persaingan bisnis yang sangat kompetitif, sales adalah salah satu bagian terpenting bagi perusahaan. Sales dapat diartikan sebagai proses transaksi penjualan produk perusahaan kepada customer dengan tujuan meningkatkan pendapatan dan laba perusahaan. Sedangkan, individu yang melakukan penjualan ini disebut salesman atau sales person. Biasanya, sales person melakukan beberapa aktivitas agar deals dapat terjadi, seperti melakukan pendekatan kepada customer, mempresentasikan produk, negosiasi harga, hingga customer setuju melakukan pembelian. Hal inilah yang membuat sales sangat penting bagi perusahaan karena kontribusi mereka dapat menjadi tolak ukur pendapatan perusahaan dan menentukan pertumbuhan perusahaan.

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Permasalahan Sales yang Menyebabkan Pertumbuhan Bisnis Menurun

Dalam perjalanannya, tugas seorang sales person atau divisi sales tidak semudah yang dilihat. Banyak sekali masalah atau kendala yang dialami dalam proses penjualan, baik masalah secara personal atau profesional. Beberapa masalah yang bersifat personal biasanya kurangnya rasa percaya diri, kurang cakap dalam berkomunikasi, memiliki perasaan takut ditolak oleh pembeli, kesulitan dalam membangun hubungan yang baik dengan pelanggan, dan penampilan sales person yang terkadang kurang meyakinkan.

Sementara beberapa masalah-masalah umum bersifat profesional yang sering terjadi pada sales person dalam proses transaksi penjualannya adalah:

  1. Kurang Memahami Produk

Sales person yang kurang memiliki pemahaman produk secara menyeluruh sudah bisa dipastikan akan terkendala dalam melakukan penjualan. Jika mereka kurang memahami produk, maka mereka akan kesulitan memberikan informasi yang baik terkait jenis produk, keunggulan produk, manfaat produk, ketersediaan stok produk, dan produk apa saja yang dibutuhkan oleh  customerSales person juga akan sulit menjawab pertanyaan-pertanyaan yang diajukan customer. Karena dalam penjualan, sales person tidak hanya melakukan transaksi saja melainkan, mereka harus mampu meyakinkan customer bahwa produk mereka adalah yang terbaik dan dibutuhkan oleh customer.

  1. Kurang Memahami Target Market

Menentukan target market wajib dilakukan oleh sales person. Banyak sales person yang membuang-buang waktu dan tidak mencapai target penjualan karena mereka tidak mengetahui secara pasti mana target market yang potensial dan mana yang tidak. Kesalahan dalam memilih dan mengelola target market akan sangat berdampak dalam performa penjualan. Oleh karena itulah, memahami dan memetakan target market sangat penting dilakukan, karena dapat  mendiskualifikasi target market yang kurang potensial, dan lebih fokus pada target market yang benar.

  1. Kurang Memahami Strategi Penjualan dan Menetapkan Skala Prioritas

Tidak hanya wajib memahami target marketsales person juga diharuskan memahami strategi penjualan dan mampu menetapkan skala prioritas. Pemahaman dan penggunaan strategi penjualan yang kurang tepat akan membuat sales person kehilangan peluang. Selain itu, manajemen waktu yang buruk serta ketidakmampuan dalam menetapkan skala prioritas akan berpengaruh pada pencapaian target penjualan. 

  1. Terlalu Banyak Melakukan Tugas-Tugas Administratif

Dalam proses penjualan, sales person juga harus melakukan tugas-tugas repetitif yang bersifat administratif, seperti mencatat data customer, data transaksi,  dokumen-dokumen penjualan lainnya hingga laporan penjualan. Tugas administratif yang dilakukan secara manual tersebut tentunya cukup menyita waktu bagi sales person. Tidak hanya itu, tugas tersebut juga sering diabaikan karena sales person fokus pada target penjualan saja. 

  1. Kurangnya Evaluasi

Banyak sekali sales person yang hanya memfokuskan pada target penjualan namun tidak melakukan evaluasi atas apa yang telah dikerjakan. Padahal evaluasi kinerja ini sangat diperlukan untuk mengetahui sejauh mana strategi penjualan yang diterapkan berhasil, analisis penjualan produk, dan relasi dengan customer. Evaluasi dilakukan untuk meninjau kembali skill dan kompetensi sales person agar lebih baik di masa depan.

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Fitur-Fitur dalam Sales Force Automation (SFA) 

Permasalahan sales yang dijabarkan diatas, tentunya dapat berpengaruh pada pertumbuhan bisnis hingga mengalami penurunan atau bahkan kerugian. Hal ini dapat dihindari dengan penggunaan Sales Force Automation (SFA), yang hadir sebagai solusi untuk efisiensi dan meningkatkan produktivitas sales di perusahaan Anda. Sebagai sebuah software yang dirancang untuk sales management processSales Force Automation (SFA) tentunya memiliki beberapa fitur yang efektif dan mudah digunakan. Fitur-fitur tersebut dapat digunakan untuk membantu dan memudahkan tugas-tugas sales person dalam melakukan penjualan. Berikut fitur-fitur yang wajib ada pada Sales Force Automation:

  1. Manajemen Kontak dan Informasi Pelanggan

Sales Force Automation dapat membantu dalam menyimpan dan memperbaharui data yang terkait dengan informasi data customer, riwayat transaksi, bahkan dapat mengelompokkan data customer berdasarkan segmen pasar, letak geografis, preferensi produk, dan waktu penjualan. Fitur ini tentunya mempermudah kinerja sales person, karena mereka tidak harus melakukan pencatatan data secara manual melainkan sudah terdata secara otomatis dalam sebuah aplikasi. Ini juga memudahkan sales person untuk mengetahui customer mereka dan menjalin relasi berkelanjutan.

  1. Manajemen Produk

Bagi perusahaan berskala besar, mengelola consumer goods akan menjadi permasalahan tersendiri bagi tim sales dan tim warehouse. Apalagi terdapat puluhan hingga ratusan produk yang memiliki ketersediaan stok yang tidak sedikit. Dengan adanya fitur manajemen produk, tim sales dapat dengan mudah mengetahui jenis, manfaat hingga stok produk yang mereka jual. Sales person juga dapat dengan mudah menjawab pertanyaan customer terkait dengan produk serta mengetahui produk apa saja yang dibutuhkan oleh customer.

  1. Manajemen Aktivitas Penjualan

Melalui fitur ini, dapat membantu tim sales dalam memvisualisasikan sales pipeline seperti menerima order, membuat dokumen transaksi, pengiriman hingga retur penjualan secara otomatis dan terintegrasi. Sales Force Automation membantu proses sales berjalan dengan baik, sehingga memudahkan dalam melacak seluruh data penjualan dan melihat dari berbagai sudut pandang proses penjualan.

  1. Manajemen Tim

Semakin banyak transaksi penjualan setiap harinya, maka komunikasi dan koordinasi antar tim atau divisi harus terjalin dengan baik. Sales Force Automation tidak hanya membantu dalam manajemen aktivitas penjualan tim sales, melainkan juga dapat mengotomatisasi seluruh proses transaksi dan dapat diakses oleh seluruh divisi terkait, seperti divisi warehouse, divisi finance, dan divisi logistik yang bertanggung jawab atas pengiriman. Semua data transaksi mulai dari penjualan hingga pengiriman produk ke customer serta data komunikasi antar divisi dapat tersimpan dan terlacak di satu aplikasi saja.

  1. Analisa dan Laporan Penjualan

Sebelum menggunakan Sales Force Automation, membuat laporan penjualan secara manual adalah proses yang cukup menyita waktu karena banyaknya transaksi yang terjadi. Dengan Sales Force Automation, data-data tersebut akan dilaporkan secara otomatis dan real time. Karena fitur report yang ada pada Sales Force Automation dapat menyajikan data dan analisa penjualan, mengidentifikasi tren pasar, serta menyajikan laporan penjualan secara cepat dan tepat, berbasis data real time dan ter up to date.

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Photo by PhotoMIX Company

Jika dilihat dari penjelasan di atas, tentu saja penggunaan Sales Force Automation (SFA) akan berdampak pada pertumbuhan bisnis dan meningkatkan penjualan di perusahaan Anda. Mengutip dari Harvard Business Review, bahwa menggunakan automation tools, seperti Sales Force Automation dalam penjualan mampu meningkatkan 90% produktivitas tim sales dan 85% meningkatkan kolaborasi antar tim yang terlibat. 

Perusahaan yang telah mengimplementasikan Sales Force Automation (SFA) maka akan mengotomatisasi sebagian besar proses penjualan. Sehingga dapat lebih menghemat banyak waktu tim sales dalam mengerjakan tugas yang bersifat administratif. Informasi jenis dan ketersediaan produk lebih akurat, sales bisa lebih fokus dalam melakukan penjualan, dan fokus kepada customer relation management sehingga bisa meningkatkan penjualan dan target yang ditetapkan juga bisa lebih mudah dicapai.

Sales Force Automation (SFA) yang mengotomatisasi proses penjualan, dapat terkoneksi dan terintegrasi dengan sistem divisi lain seperti warehouse, logistik, sales dan finance. Informasi dan data yang dihasilkan menjadi lebih cepat, tepat, dan akurat. Manajer dan pihak manajemen perusahaan bisa mengakses data kapan saja dan dimana saja hanya dengan menggunakan smartphone tanpa harus mengecek data-data manual.

Dalam hal report atau laporan, mengimplementasikan Sales Force Automation (SFA) pada perusahaan, sudah pasti pelaporan akan jauh lebih cepat, berbasis data real time. Penjualan dapat di tracking, sehingga memudahkan manajer untuk menganalisa dan mengevaluasi kinerja tim sales serta tim lain yang terkait penjualan.

 

Setelah mengetahui manfaat dan peran penting Sales Force Automation (SFA) bagi pertumbuhan bisnis, maka sudah waktunya Anda memanfaatkan aplikasi ini dan mengimplementasikannya di perusahaan Anda. Untuk itu, Anda wajib berkolaborasi dengan vendor IT yang tepat dan berpengalaman seperti BTS.id. Sebagai perusahaan IT yang sudah sangat berpengalaman, BTS.id menawarkan aplikasi yang tepat bagi perkembangan bisnis Anda, yakni CRM Field Service (CFS). Jika Anda ingin mengetahui lebih mendalam terkait Sales Force Automation (SFA) dan CRM Field Service (CFS) kami selalu siap untuk memberikan informasi dan memberikan saran terbaik bagi pertumbuhan bisnis Anda. Segera hubungi kami BTS.id your business partner.

Keuntungan Sales Force Automation Bagi Perkembangan Bisnis Anda
icon-calendar a year ago
icon-category Sales Force Automation

Apa Itu Sales Force Automation (SFA)?

Sales Force Automation (SFA) adalah software yang dirancang untuk sales management process, yang mana membantu sales untuk mengelola dan mengotomatisasi proses penjualan. Dalam melakukan penjualan, sales seringkali fokus pada pekerjaan yang berulang dan administratif. Proses administrasi tersebut tidak jarang menyita waktu yang cukup banyak. Seperti dalam sebuah penelitian yang dilakukan oleh BusinessWire, menyebutkan bahwa salesman benar-benar melakukan tugas selling hanya 37%, sedangkan 63% mereka mengerjakan tugas yang bersifat administratif atau tugas lainnya. Hal ini tentunya membuat kinerja sales kurang efisien dan kurang optimal sehingga berdampak pada pencapaian target penjualan dari perusahaan.

The-Components-of-SFA

Pemanfaatan teknologi dalam bisnis, utamanya penggunaan Sales Force Automation (SFA) dapat membantu mempercepat progres dalam bisnis Anda. Sales Force Automation (SFA) sendiri merupakan software yang cukup populer di dunia bisnis. Banyak sekali perusahaan yang menggunakan Sales Force Automation (SFA) dalam menjalankan bisnis mereka. Ini tidak lepas dari tujuan dirancangnya Sales Force Automation (SFA) yakni untuk meningkatkan efisiensi, produktivitas, efektivitas tim penjualan, membantu tugas-tugas tertentu agar transaksi penjualan pada perusahaan menjadi lebih sederhana, mudah dan cepat.

Sales Force Automation (SFA), sebagai tools yang berfokus pada operasional penjualan, membantu salesman dalam melakukan proses transaksi produk perusahaan kepada pelanggan. Tentu saja dalam sebuah transaksi penjualan, terdapat banyak data selama proses itu terjadi. Seperti jenis produk, jumlah produk, harga produk, data pelanggan, hingga dokumen-dokumen yang bersifat administratif. Dalam hal ini, Sales Force Automation (SFA) dapat membantu transaksi penjualan mulai dari ordering - delivering - hingga pembayaran secara aktual, efisien dan real time.

Software-Implementation-Example

Tidak hanya membantu sales dalam melakukan transaksi dengan pelanggan, Sales Force Automation (SFA) juga dapat membantu mengelola dan mengotomatisasi proses penjualan dalam bisnis Anda secara keseluruhan seperti analisa data pelanggan, analisa kepuasan pelanggan terhadap perusahaan, mencatat data kontak pelanggan, report automationsales performance management, dan lainnya. Sales Force Automation (SFA) merupakan alat yang sangat penting dalam kelangsungan bisnis perusahaan, melalui penggunaan Sales Force Automation (SFA) semua data digital transaksi penjualan, laporan data pelanggan, laporan penjualan, jadwal kunjungan ke pelanggan, data produk yg tersedia di perusahaan dapat diakses secara real time, kapan saja dan dimana saja bahkan hanya dengan menggunakan smartphone.

Penggunaan Sales Force Automation (SFA) dapat memangkas banyak waktu, tenaga juga biaya sehingga bisnis Anda akan menjadi lebih efisien dan lebih mudah untuk mengontrol secara digital. Penjualan akan lebih efektif, produktivitas tim sales akan meningkat, dan kualitas layanan perusahaan terhadap pelanggan akan tetap terjaga, sehingga perusahaan selalu bisa memenuhi harapan para pelanggan dengan lebih baik. 

Lantas apa saja keuntungan jika perusahaan Anda menggunakan Sales Force Automation (SFA)? 

Seperti yang sudah dijelaskan diatas bahwa Sales Force Automation (SFA) sebagai software yang dirancang khusus untuk mengelola dan mengotomatisasi proses penjualan. Berikut terdapat beberapa keuntungan bagi perkembangan bisnis Anda jika menggunakan Sales Force Automation (SFA) : 

Keuntungan-Sales-Force-Automation
  1. Efisiensi Operasional lebih Meningkat
    Sesuai dengan tujuan dari dirancangnya Sales Force Automation (SFA), yakni meningkatkan efisiensi operasional perusahaan, khususnya tim sales. Sales Force Automation (SFA) mengambil alih tugas-tugas administratif yang sebelumnya dilakukan secara manual, seperti mencatat data penjualan, mengelola data pelanggan, informasi kontak pelanggan, jadwal kunjungan, data kepuasan pelanggan dan semua data yang berkaitan dengan pelanggan dapat disimpan, diakses dan dilacak dengan real time dan mudah.
     
  2. Meningkatkan Produktivitas Salesman
    Dengan Sales Force Automation (SFA), salesman dapat mengakses informasi penting seperti jadwal pertemuan dengan pelanggan, catatan komunikasi, riwayat transaksi, informasi kontak pelanggan secara cepat dan tepat, dengan tujuan memberi pelayanan yang lebih personal, menjalin relasi yang lebih baik dan efektif dengan pelanggan. Selain itu, Sales Force Automation (SFA) dapat melacak dan memantau kinerja dan aktivitas salesman secara akurat, mencatat kunjungan serta feedback dari pelanggan. Sales Force Automation (SFA) menyediakan alat analisis yang kuat untuk melacak kinerja penjualan, tren penjualan, dan prediksi penjualan di masa depan. Hal ini membantu salesman dan manajemen perusahaan dalam membuat keputusan yang tepat dan akurat berbasis data.
     
  3. Manajemen Sales Lead yang Tepat dan Efektif
    Ketepatan membaca peluang sangatlah penting bagi  perkembangan bisnis Anda. Dengan menggunakan Sales Force Automation (SFA) dapat membantu dalam melihat dan menelusuri prospek dari awal terjadinya transaksi penjualan hingga menutup penjualan agar tidak ada peluang yang terlewatkan serta peluang mana yang lebih menjanjikan. Sales Force Automation (SFA) juga dapat membantu mengotomatisasi prospek sales lead secara efektif yang tentunya sangat penting bagi proses penjualan di masa depan. 
     
  4. Informasi Berbasis Data Penjualan yang Lebih Baik
    Dalam perkembangannya, perusahaan membutuhkan alat analisis yang akurat dan tepat untuk menganalisa dan memantau kinerja penjualan, mengidentifikasi tren, memahami preferensi/kecenderungan pelanggan, sehingga dapat memudahkan para stakeholder dalam mengambil keputusan yang berbasis data. Sales Force Automation (SFA) juga menyediakan data real time yang dapat digunakan para stakeholder dalam membuat keputusan strategis, memungkinkan manajer dalam menentukan strategi penjualan sesuai dengan permintaan pasar saat ini.
     
  5. Efisiensi Koordinasi Antar Divisi
    Banyaknya divisi yang saling berkaitan dalam proses penjualan terkadang membuat koordinasi satu divisi dan lainnya terdapat kendala atau masalah yang dapat merugikan perusahaan. Sales Force Automation (SFA) dapat membantu koordinasi, kolaborasi dan komunikasi antar divisi tersebut. Antar divisi dapat berbagi informasi real time, membuat catatan penting dalam mencapai target yang ditetapkan manajemen perusahaan. Sales Force Automation (SFA) dapat terintegrasi dengan sistem lainnya seperti sistem inventory/warehouse, sistem finance, sistem manajemen hubungan pelanggan, dimana  adanya notifikasi kepada divisi warehouse dan finance jika terjadi transaksi penjualan dari sales, yang memungkinkan penjualan dan divisi lain saling terkait dan bekerja lebih efisien bersama-sama.
     
  6. Kepuasan Pelanggan Meningkat
    Dengan optimalnya proses penjualan serta pelayanan yang lebih baik terhadap pelanggan, Sales Force Automation (SFA) dapat menghasilkan kepuasan pelanggan yang lebih tinggi. Dengan tingkat kepuasan pelanggan yang tinggi memungkinkan pelanggan untuk repeat order (kembali melakukan transaksi penjualan) bahkan merekomendasikan bisnis Anda kepada orang lain. Ini tentunya sangat baik dalam perkembangan bisnis Anda, karena semakin banyak pelanggan, maka omzet penjualan juga akan meningkat.
     
  7. Monitoring Kinerja Individu
    Banyaknya jumlah sales dalam perusahaan, terkadang membuat supervisor sulit untuk melakukan kontrol dan melakukan monitoring kerja masing-masing individu. Dengan menggunakan Sales Force Automation (SFA) memungkinkan perusahaan untuk memantau kerja masing-masing individu dalam tim sales. Hal ini dapat memberikan informasi bagi supervisor/manajer untuk memberikan reward dan punishment bagi salesman, memberikan feedback serta dukungan yang tepat kepada seluruh anggota tim. Sales Force Automation (SFA) digunakan untuk memberikan target penjualan, memantau aktivitas sales di lapangan dan mengevaluasi Key Performance Indicator (KPI) masing-masing sales.
     
  8. Efisiensi Waktu Penyajian Laporan
    Dengan terkoordinasinya data antar divisi, data terkait penjualan yang real time, akan dapat memangkas banyak waktu yang dibutuhkan manajer untuk membuat laporan harian, bulanan bahkan tahunan. Sales Force Automation (SFA) juga menyediakan alat analisis yang kuat untuk memberikan laporan/report, meng-otomatisasi dokumen/quotation, yang dapat membantu manajemen perusahaan membuat keputusan berdasarkan data yang tepat dan akurat untuk masa depan bisnis mereka.
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Image by aymane jdidi from Pixabay

Banyak sekali keuntungan yang didapatkan bagi perusahaan Anda jika menggunakan Sales Force Automation (SFA). Seperti tujuan utamanya, Sales Force Automation (SFA) digunakan untuk mengelola tugas dari divisi sales dan juga divisi lain yang berkaitan dengan proses penjualan. Dengan memanfaatkan Sales Force Automation (SFA), perusahaan Anda dapat memaksimalkan produktivitas tim penjualan dan mengoptimalkan proses penjualan secara menyeluruh.

Mari tingkatkan produktivitas sales! Anda dapat memantau dan melacak semua proses penjualan secara real time, cepat dan akurat, sehingga performa bisnis Anda akan semakin meningkat. Selain itu, meningkatkan relasi yang lebih personal yang mencakup seluruh hubungan pelanggan dengan bisnis, akan membantu meningkatkan loyalitas pelanggan. Tentu saja penggunaan software Sales Force Automation (SFA) yang tepat adalah kuncinya. CRM Field Service (CFS) by BTS.id adalah pilihan software terbaik bagi masa depan perusahaan Anda. 

Jadi tunggu apa lagi? Jika Anda ingin mengetahui lebih mendalam dan semua informasi mengenai Sales Force Automation (SFA) dan CRM Field Service (CFS) dapat anda dapatkan di BTS.id sebagai vendor IT terpercaya di Indonesia. Anda juga dapat berkonsultasi dengan kami untuk semua permasalahan dan kebutuhan software di perusahaan Anda. Segera hubungi kami BTS.id your business partner.

Manfaat Sistem ERP Bagi Operasional Perusahaan
icon-calendar a year ago
icon-category Enterprise Resource Planning (ERP)

Apa itu ERP?

Enterprise Resource Planning (ERP) adalah sistem informasi yang digunakan dalam operasional perusahaan dan manajemen perusahaan untuk mengelola dan meng-otomasi seluruh bagian utama dari bisnis mereka, seperti produksi, distribusi, penjualan, logistik, akuntansi, keuangan, sumber daya manusia, dan lainnya. ERP dirancang sebagai satu software yang dapat mengintegrasikan dan mengoptimalkan operasional perusahaan agar lebih efektif dan efisien.

Seiring dengan berkembangnya teknologi, persaingan bisnis yang semakin ketat membuat perusahaan dituntut untuk adaptif terhadap perubahan. Untuk mengoptimalkan operasional serta meningkatkan efisiensi pada perusahaan sebaiknya menerapkan sistem ERP. ERP sebagai software manajemen digunakan oleh organisasi atau perusahaan untuk mengelola proses bisnis mereka secara terintegrasi dan memiliki multi modul. Modul tersebut dirancang agar mampu melayani dan juga mendukung berbagai macam fungsi di dalam perusahaan sehingga lebih efisien dan mampu memberikan pelayanan lebih baik bagi konsumen.

Beberapa modul ERP yang umum antara lain:

  1. Warehouse/Inventory Management (Manajemen Gudang)
  2. Human Resources Management (SDM)
  3. CRM (Customer Relationship Management)
  4. Finance & Accounting Management
  5. SCM (Supply Chain Management)
  6. Sales and Marketing Automation
  7. Purchasing Management
  8. Engineering Production Management

 

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Image Tumisu from Pixabay

Seberapa Penting Sistem ERP Bagi Operasional Perusahaan Anda?

Perlu diketahui, bahwa tidak semua perusahaan cocok menggunakan sistem ERP. Perusahaan yang ingin menerapkan sistem ERP dengan sukses perlu untuk menyesuaikan proses bisnis mereka supaya cocok dengan sistem ERP, atau menyesuaikan keduanya, sistem ERP dan proses bisnisnya sekaligus. Dalam proses penerapan sistem ERP untuk membuatnya cocok secara menyeluruh bisa sangat kompleks dan terkadang bisa juga mengalami kegagalan, yang berakibat kerugian bagi perusahaan.

Untuk itu sangat diperlukan memilih vendor yang sudah jelas memiliki kredibilitas, profesional, berpengalaman, dan terpercaya dalam pembuatan sistem ERP. Salah satunya adalah BTS.id (Bridge Technology Service), sebagai perusahaan IT terbaik yang ada di Indonesia. BTS.id (Bridge Technology Servicemenyediakan sistem ERP terbaik untuk mengelola operasional perusahaan anda.

Salah satu aplikasi ERP terbaik BTS.id (Bridge Technology Service) yang dapat membantu mengelola operasional perusahaan anda adalah CFS (CRM Field Service)CFS (CRM Field Service) dirancang untuk menunjang kinerja perusahaan agar lebih optimal. Human error yang sering terjadi di perusahaan akan bisa diminimalisir dengan software ini sehingga data yang didapatkan lebih real-time dimana data tersebut sangat bermanfaat bagi perusahaan dalam penyusunan laporan maupun untuk bahan evaluasi sebagai bahan pertimbangan pengambilan keputusan bisnis kedepannya.

Business_Flow

Ilustrasi diatas merupakan ilustrasi sederhana pada berjalannya bisnis perusahaan dagang. Diawali dengan alur pertama kali produk masuk melalui pembelian, kemudian masuk ke divisi inventory/warehouse, kemudian didistribusikan ke customer melalui divisi sales, dan semua dokumentasi administratif dilakukan oleh divisi finance/accounting. Semua proses operasional ini ada di bawah pertanggungjawaban seorang manajer. Koordinasi antar divisi sangat penting, dan manajer harus mendapatkan data penjualan harian yang real-time dan ter-updated, untuk bisa segera mengantisipasi jika ditemukan sebuah kejanggalan pada perusahaan.

Berikut sedikit penjelasan fungsi masing-masing role penting dalam perusahaan:

➢ Manager: Manajer perusahaan memegang peran sentral dalam manajemen perusahaan dan bertanggung jawab atas semua lini dan divisi yang terkait. Manajer perusahaan berwenang atas segala pengambilan keputusan dan tindakan apa yang akan dilakukan terkait dengan operasional perusahaan dan manajemen perusahaan terhadap masalah yang ada dalam proses operasional perusahaan. Manajer perusahaan mengontrol dan memastikan semua proses dalam operasional perusahaan sudah sesuai standar manajemen perusahaan tersebut agar dapat berjalan baik dan optimal.

➢ Supervisor: Bertanggung jawab secara spesifik pada satu divisi dalam operasional perusahaan, membawahi beberapa orang staf dan berkoordinasi secara penuh pada Manajer. Semua keputusan dan tindakan yang diambil terkait operasional atau masalah dalam operasional harus dikoordinasikan pada Manajer dan manajemen perusahaan.

➢ Sales/Marketing: Bertanggung jawab atas pemasaran produk dari perusahaan kepada pembeli atau pelanggan, dan bekerja sesuai dengan target masing-masing yang ditetapkan oleh perusahaan. Seorang sales harus menjalin relasi yang baik pada para customer. Setiap sales juga wajib mendokumentasikan transaksi hariannya secara akurat untuk dipertanggungjawabkan kepada manajemen perusahaan.

➢ Warehouse/Inventory: Bertanggung jawab atas produk dan stok produk dari jumlah produk, keamanan produk dalam gudang, dokumentasi dan pembukuan dalam proses transaksi produk. Selain itu divisi inventory juga bertanggung jawab atas pengaturan jadwal pengiriman produk kepada customer.

➢ Finance: Bertanggung jawab atas segala bentuk hasil transaksi harian berupa pembayaran secara tunai, transfer, deposit, piutang dan hutang perusahaan. Memastikan semua transaksi sudah terdokumentasikan dengan baik sesuai SOP yang berlaku, mengontrol pengeluaran operasional harian perusahaan, mengontrol tanggal jatuh tempo hutang dan piutang perusahaan. Finance juga wajib mendokumentasikan semua bentuk biaya operasional perusahaan secara harian.

Image2

Image by Mediamodifier from Pixabay

Dalam penjelasan di atas jelas bisa kita lihat, dalam satu perusahaan dagang terdapat beberapa role dimana masing-masing role beroperasi sesuai dengan standar operasional perusahaan, dan melakukan transaksi kepada customer. Setiap role juga wajib untuk membuat catatan, mendokumentasikan, report secara harian, dimana setiap report antar divisi haruslah berkesinambungan, dan dapat memberikan informasi harian, bulanan bahkan tahunan yang update serta akurat kepada manajemen perusahaan. Untuk bisa mendapatkan laporan harian yang baik, jelas, akurat dan real-time  sudah pasti dibutuhkan sistem aplikasi yang bisa membantu untuk meminimalisir kesalahan dan resiko pada transaksi harian perusahaan.

Sistem ERP khususnya sistem CFS (CRM Field Service) merupakan sistem yang tepat bagi perusahaan, baik perusahaan jasa, dagang, manufaktur, dan perusahaan lainnya. Sistem ERP adalah software untuk mengintegrasi dan mengotomatisasi aktivitas bisnis yang memungkinkan anda dalam mengelola bisnis dengan lebih mudah karena beberapa proses distribusi data akan dilakukan dengan bantuan mesin. Jadi, Anda tidak perlu melakukan pengolahan data secara manual lagi.

Software ERP dirancang untuk mengintegrasikan dan mengelola berbagai aspek penting dari operasi bisnis, termasuk pengelolaan sumber daya manusia, keuangan, persediaan, produksi, pemasaran, dan lain-lain. Dengan menggunakan sistem CFS (CRM Field Service) ini, Anda dapat mengkonsolidasikan data dan proses bisnis mereka ke dalam satu platform terpusat, menggantikan sistem manual atau terpisah yang mungkin digunakan sebelumnya. Penerapan sistem ERP sangat penting bagi perusahaan, terutama perusahaan dagang, karena dalam pengaplikasiannya, sistem ERP dapat membantu menjalankan perencanaan sumber daya dengan menyatukan semua proses ke dalam satu sistem terpadu.

Sistem ERP sebagai bentuk investasi di bidang IT untuk mendorong kinerja menjadi lebih efisien dan pengembangan bisnis dengan cara mengurangi biaya operasional yang tidak perlu, serta pemanfaatan sistem ERP sendiri punya keuntungan dari berbagai aspek. CFS (CRM Field Service) merupakan salah satu sistem ERP yang sangat tepat, yang bisa membantu menyajikan data ter-up to date terkait dengan operasional perusahaan.

CFS_Mockups

Tunggu apa lagi? Mari berkembang dan menjadi bagian dari perubahan bisnis yang memanfaatkan perkembangan teknologi secara maksimal. Dengan penggunaan CFS (CRM Field Service) untuk mengelola operasional perusahaan anda, bisnis yang anda jalankan akan lebih efektif dan efisien serta berkembang optimal. Segera hubungi kami BTS.id (Bridge Technology Service) untuk Anda yang ingin mendapat informasi yang Anda butuhkan tentang CFS (CRM Field Service) lebih banyak lagi. Dan Anda juga dapat berkonsultasi untuk semua kebutuhan sistem ERP bagi perusahaan Anda.

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Harnessing AI Development in Software to Drive Business Revenue

The artificial intelligence (AI) platform software market grew rapidly in 2023 and is project to maintain its remarkable momentum, driven by the increasing adoption of AI in many industries. These technologies driven motivation, from revolutionizing traditional coding tasks to improving the efficiency of the entire development life cycle. Artificial Intelligence (AI), especially generative AI (gen AI) and Large Language Models (LLM), simplifies the development cycle by automating key steps, from ideation and requirements gathering to coding and testing.

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The drive to explore enterprise AI was initially inspired by a fear of being left behind is now starting to subside. In fact, business and technology leaders are shifting their focus from experiments to practical problems : “How can Artificial Intelligence (AI) drive revenue?” That question will become increasingly important as financial expectations rise.

Artificial Intelligence (AI) is revolutionizing the software development process by introducing tools and techniques that increase productivity, accuracy, and innovation. From automating code generations to optimizing testing and deployment, Artificial Intelligence (AI) is reshaping the way software is designed, built, and maintained.

Some of the benefits that we can get from developing Artificial Intelligence (AI) in software are as follows:

  • Automation of Repetitive Tasks
    The first benefit of developing Artificial Intelligence is the automation of repetitive tasks. AI-powered tools can help developers by automatically generating snippets of code or entire functions, which significantly reduces development time. This automation allows developers to focus on high-levels tasks such as problem solving and architectural design, rather than coding, bug-detection, and testing.
     
  • Improved Software Quality
    In this benefit, AI detects bugs, vulnerabilities and inefficiencies early in the development cycle. Artificial Intelligence (AI) can analyze large data sets project historical trends, and provide more accurate predictions regarding schedules, resources, allocation, and feature prioritization. This capability results in better project management and more efficient use of time and resources.
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  • Democratization of Software Development
    Through no-code and low-code platforms, non-technical users can build and customize applications that use AI without requiring in-depth programming skills. The platform enables business professionals, product managers and other stakeholders to create solutions tailored to their needs.
     
  • The Following is the Last Benefit of Artificial Intelligence
    Here’s the final benefit where Artificial Intelligence (AI) can personalize applications in real time and offer customized recommendations, interfaces and features by analyzing user behavior and preferences. These capabilities result in higher user satisfaction and better engagement, making AI an asset in delivering more intuitive ad easy-to-use software products.

Meanwhile, software development has a significant positive impact in increasing efficiency, service quality, innovation and productivity. This really helps organizations to be able to keep up with technological developments and achieve better business goals.

Some of the advantages in software development will be briefly described as follows:

  1. Increased Business Efficiency
    The first advantage in software development automates repetitive tasks, thereby saving time and human labor. Advantage in software development optimizes business processes, ensuring more efficient use of resources, so that cost waste can be prevented.
     
  2. Improved Service Quality
    The next advantage in software development is personalizing service according to user preferences, increasing user satisfaction and quality of experience, making it easier to carry out real-time monitoring and improvements. Real-time monitoring of services and quick detection of problems for immediate repair, thereby improving overall service quality.
     
  3. Technological Innovation
    The following advantages in software development encourage the creation of new products and services that can bring innovation to the market and meet evolving needs. This software development process enables the integration of the latest technologies, helping organizations to stay relevant and competitive in ever-changing market
     
  4. Increase Productivity
    The final advantage in software development is creating special productivity tools that help employees perform tasks more quickly and effectively, thereby enabling effective collaboration. So this collaborative application makes team work easier, increase coordination and productivity of team members in achieving common goals.
     

Here are several ways companies can increase revenue through the application of AI:

  1. Increase sales
    Virtual assistants and chatbots using AI can help organizations generate sales. Some examples include furniture retailer IKEA launching a generative AI tool for its customers. Ikea’s AI virtual assistants lets user design living room and shop for furniture. Additionally there is a jewelry insurance company, creating a GenAI-based customer service chatbot that has reduced cancellation rates on chat inquiries. Lower cancellations rates reflect more successful customer interactions, potentially increasing sales.
     
  2. Reduce Customer Churn
    AI enables client retention, reduces revenue losses and improves their customer lifetime value metrics. In capacity, AI can profile the attributes of business’s customer base, leveraging historical data about departed customers. This information allows managers to identify at-risk mission. This technology offers a higher level of personalization when incorporated into AIpowered chatbots and contact centers. When business transform customer experiences, the result is lower churn rates.
     
  3. Strengthening Recommendations Engines
    Artificial Intelligence (AI) algorithms can examine customer data on previous purchases to individualize product recommendations with greater precision. This increased personalization provides a key business benefit of AI: the ability to cross-sell and up-sell new products and services to customers more easily. Recommendation engines also encourage users to linger on social media platforms, which in turn attracts advertisers.
     
  4. Accelerate Marketing Strategy
    Marketing may not directly generate, but effective practise will support the sales funnel. Generative AI’s ability to quickly create content can help organizations produce marketing materials ranging from newsletter to video ads. Marketing can leverage the benefits of Artificial Intelligence (AI) personalization to create marketing messages tailored to customer interest.
     
  5. Detecting Fraud
    If there is suspicious activity, it will be immediately detected by Artificial Intelligence (AI) and will immediately stop payments to fraudsters, thereby maintaining revenue growth. Financial services companies typically use in AI in this capacity. One example is Capital One, which uses machine learning algorithms to spot anomalies and ward of credit and fraud. Additionally e-commerce companies use ML to target fraudulent orders. The technology’s ability to identify patterns in user behavior lends itself to such fraud detection use cases.
     
  6. Developing New Products and Services
    AI can help companies create new products and speed up development cycles. AI can also speed up the delivery of digital products. AI coding assistants have helped companies in speeding up software development by 20% more. The result is faster time to market for customer-facing and revenue-generating applications.
     
  7. Provides Predictive Maintenance
    Equipment downtime in areas such as manufacturing and fleet management results in lost revenue. Predictive maintenance, which is among the top ML use cases, identifies equipment that is close to failure. These insights allow plant managers to schedule downtime to perform repairs, avoiding outages and missed delivery schedules.
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Conclusion

One of the trusted Bandung software houses is BTS.id (Bridge Technology Service). BTS.id is a company that operates in the field of software development and IT solutions, so manufacturing industry in Indonesia will be greatly helped and facilitate work operations while increasing data accuracy as a reference for large quantity reports

As a software house, BTS.id develops applications, creates software tailored to clients’ specific needs, provides services to maintain, update and repair software. Bys.id as a software house accepts technology consultations, so it can help you find the best and most appropriate technology solutions according to your business needs. What are you waiting for? Contact us now!

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Transforming LMS with Artificial Intelligence: Personalized Content Recommendations for Effective Learning

A Learning Management System (LMS), often also called a Learning Management Platform, is generally software designed to create, distribute and manage the delivery of learning material. Specifically, an LMS is a web-based software program for the management, documentation, monitoring, reporting, administration and distribution of educational content, training programs, technical manuals, instructional videos or digital library materials, and learning and development projects.

LMS (Learning Management System) is not machine learning, but machine learning is often used in LMS to enhance its functionality. A Learning Management System (LMS) combines technology and teaching methods to create a more interactive, flexible, effective, and efficient learning environment, while machine learning is a technology within the field of Artificial Intelligence (AI) that enables systems to learn from data and make predictions or decisions without explicit programming. Machine learning (ML) is more focused. However, both of these fields go beyond the basics of automation and programming to produce outputs based on complex data analysis. Machine Learning has limited scope and focus compared to Artificial Intelligence (AI). AI includes several strategies and technologies that are beyond the scope of machine learning.

Artificial Intelligence Based Learning Management System

What is an Artificial Intelligence-based Learning Management System?

A Learning Management System (LMS) is a web- or mobile-based electronic learning platform focused on training students or company employees. LMS allows you to organize structured learning processes in a remote mode, which is particularly useful in remote team environments. LMS is well-suited not only for employee training programs but also for orientation, onboarding, and more, while simultaneously reducing time and budget requirements. The effectiveness of LMS in delivering quality education has received a significant boost with the introduction of Artificial Intelligence.

Some benefits of Artificial Intelligence integrated into LMS:

  1. The first benefit is that an Artificial Intelligence-powered learning platform is first and foremost about personalized content and learning.
  2. Then the second benefit of an AI-based LMS includes all routine administrative tasks.
  3. The third benefit is automating content creation.
  4. Then the next benefit is that an AI-enabled LMS provides data-based analytics.
  5. The next benefit is ensuring engagement and consistency of learning and increasing knowledge retention.
  6. The next benefit is a smart e-Learning solution that also saves time and money.
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Integrating Personalized Learning into LMS

Personalized learning has emerged as a game-changer in education, offering tailored approaches for learners to acquire knowledge and skills. But how can organizations integrate personalized learning into existing Learning Management Systems (LMS) to create a truly adaptive and learner-centered environment? Let’s discuss the key steps and strategies for integrating personalized learning into an LMS. From planning learning paths to delivering targeted content, evaluating learner progress, leveraging data-driven insights, and implementing personalized learning within your organization.

  1. Choosing the Right LMS for Personalized Learning
    When implementing personalized learning, selecting the right Learning Management System (LMS) is critical. The LMS must have the features necessary to support various aspects of personalized learning, including planning learning paths, deliver targeted courses and content, evaluate skill acquisition, and access learner and program data
    1. Integration
      The first consideration when choosing the right LMS is integration. Ensure the LMS integrates with existing systems, such as HR platforms, to capture relevant employee information and streamline workflows. This integration allows the LMS to align personalized learning paths with organizational goals and align desired learning activities.
       
    2. Learner-Centered LMS Approach
      Find an LMS that prioritizes learners's needs and preferences, providing them with a customized e-learning experience. This learner-centric LMS empowers individuals to take charge of their learning journey, which fosters a sense of engagement and motivation.

      Key Features to Consider:
      1. Comprehensive Reporting
        An LMS with powerful reporting capabilities enables organizations to track learner progress, assess the effectiveness of personalized learning initiatives, and make data-driven decisions.
         
      2. LMS integration
        Find an LMS that seamlessly integrates with other learning tools or content providers, allowing for the delivery of targeted courses and content.
         
      3. User Friendly Interface
        The LMS should have an intuitive and easy-to-navigate interface, making it easy for learners to access and engage with personalized learning content.

         
  2. Plan a Personalized Learning Path
    To effectively plan personalized learning paths, it is crucial to have a Learning Management System (LMS) that supports learner-driven customization. The LMS should connect to HR systems and capture relevant employee information, such as job roles, skills, and learning preferences. This data forms the foundation for creating personalized learning paths that align with individual needs. Workflows within the LMS are another critical aspect of planning personalized learning paths and must be well-managed.

    The LMS should facilitate the design, assignment, and monitoring of learning paths, ensuring that learners receive the right content at the right time.

    Automation plays a crucial role in managing learning paths. By leveraging rules or AI, organizations can automate the assignment of learning activities based on predefined criteria. This streamlines the process and ensures that personalized learning paths are delivered efficiently to each learner.

     
  3. Deliver Targeted Courses and Content
    With learner-focused training, employees have the ability to choose from a variety of training interventions and resources. This may include options such as podcasts, e-Learning courses, webinars, or face-to-face interactions. By presenting a variety of learning formats, LMS ensures that individuals can choose the method that best suits their learning style and preferences. 

    Furthermore, the LMS should support multiple literacies from the same course. This allows learners to review and strengthen their knowledge, providing opportunities for continuous improvement and deeper understanding.

    Once a common learning flow is set up, it is critical for a Learning Management System (LMS) to provide choice and control over the learner's learning journey. By offering a variety of courses and targeted content, learners can personalize their training experience and engage with material relevant to their individual needs and goals.

     
  4. Evaluate Learner Progress
    A fundamental component of personalized learning is evaluating a learner's progress. By assessing skill acquisition, conducting learner progress assessments, and providing personalized feedback, organizations can ensure that their employees are on track to achieve their learning goals.

    Some things to consider at this point are:
    1. Establish Defined Settlement Thresholds
      This threshold serves as a benchmark to determine whether learners have successfully mastered the knowledge and skills required. By setting clear expectations, learners are motivated to strive for excellence and continuously improve their abilities.
       
    2. Combining Results Across the Program to Gain a Comprehensive Understanding of Individual Progress
      This analysis allows organizations to identify strengths and areas that need improvement, enabling them to offer targeted interventions and support when needed.
       
    3. Providing Feedback and Assessment for Specific Courses
      It is another important aspect in evaluating learner progress. Personalized feedback highlights areas for improvement and celebrates achievements, reinforcing learners' motivation and commitment to their learning journey.

       
  5. Comprehensive Reporting Capabilities
    At the individual level, reports can show employee achievements, areas for improvement, and overall skill development. Evaluations based on this data help inform the next steps for individuals, allowing the organization to tailor the learning experience to their unique needs.

    To effectively evaluate learner progress, the LMS must offer comprehensive reporting capabilities at both the individual and course levels. These reports provide valuable insights into learner performance, enabling organizations to track their progress over time.

    At the course level, reports provide an overview of the effectiveness of various learning experiences. This information allows organizations to identify the most impactful courses and make data-driven decisions when designing future training initiatives.
     
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Are you still unsure if implementing an AI-based Learning Management System is a rational choice for your company? If so, let's review the key advantages of this technology for modern educational facilities:

  1. Simplifying the Language of Instruction
    The first advantage is simplifying the language of instruction. Many teachers enter the education field after pursuing studies in other sectors. The common path is to specialize in 'practical' fields such as English or programming, then transition to a Master's degree in education. This approach sometimes creates significant challenges for the specialists: they are competent in their field but do not know how to explain concepts in simple language.

    Artificial Intelligence offers the opportunity to solve this problem once and for all. Modern language models can explain many concepts in a learner-oriented way by generating their own educational content. This means it is possible to create customized tasks and even texts that explain theoretical information, taking into account the learner's skills.

     
  2. Real-Time Assistance for Teachers
    The next advantage is real-time assistance for teachers. In fact, challenges in quickly understanding a single concept can hinder students' ability to learn additional material later on. If you miss this information, learning further training content becomes difficult and often impossible.

    Real-time assistance for teachers through Artificial Intelligence devices solves the existing skill gap. AI tools immediately detect when a student is struggling to understand certain concepts. With this information, teachers can decide which aspects of learning to target and address the individual needs of the students. With the emergence of these devices, we finally have a reliable tool to prevent students from falling behind in their educational journey.

     
  3. Improved Accessibility of Content
    The next advantage you can gain is improved accessibility of content. AI-powered LMS can leverage speech recognition technology to convert text into spoken words. This is important for making learning opportunities accessible to individuals with visual impairments. AI can generate alternative formats, such as braille or capital letters. This means the technology can meet the needs of learners with specific disabilities. 

    Additionally, AI-based LMS can also use language translation capabilities to provide content in multiple languages. In this way, learners who are not fluent in the original language can access materials from other countries.

     
  4. Automated Review of Student Performance
    The automated review of student performance is the next advantage of AI-based LMS. Conducting performance analysis of students is usually a significant time-waster. Artificial Intelligence solves this problem once and for all.

    AI can review tests and even more complex assignments with minimal human input. This means that teachers have the opportunity to spend more time preparing high-quality teaching materials. The ability of AI to independently assess student information is also important from the perspective of preventing bias. Automated systems have no preferences: they are impartial regarding all aspects of human personality.
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Conclusion

Overall, AI in LMS is a promising technology. AI can significantly enhance the customization of modern education. Although some challenges commonly arise in its implementation, such as ethical issues, lack of human input and face-to-face communication, reduced ability to teach complex decision-making and problem-solving, and the lack of government regulation. Nevertheless, we believe these issues can be addressed through a focus on hybrid learning practices and the use of modern communication technologies. Better government regulation will also establish better standards that can prevent bias and lack of transparency.

If you want to create a high-quality LMS, feel free to contact our company, BTS.id (Bridge Technology Service), and we are always ready to provide the best information and advice for the interests of your business, tailored to what your company needs.

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AI Analytics In E-Commerce, Why It Matters?

Artificial intelligence (AI) is no longer just the stuff of scary futuristic movies, it’s recently burst into the headlines and is suddenly just everywhere. Its impact on the job market, whether we trust things such as the integrity of news on social media, and ultimately whether humanity survives alongside it are unsettling things to worry about.

How you can boost sales and engagement with AI analytical for e-commerce? Discover how AI revolutionizes online retail for competitive advantages. AI analytics has significantly transformed the e-commerce industry by optimizing processes, enhancing efficiency, and providing deeper insights for decision-making.

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Source: The Business Research Company

According to the Artificial Intelligence in E-Commerce Global Market Report 2024 by The Business Research Company, the AI in e-commerce market is projected to reach a size of $ 14 billion by 2028. This growth is driven by the increasing popularity of online shopping. AI analytics is crucial in e-commerce for several compelling reasons. AI analytics also brings numerous benefits to e-commerce, enhancing various aspects of business operations and customer engagement.

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Here are the key benefits:
Benefits of AI Analytics in E-commerce

  1. Identifying optimal pricing
    When you can accurately and consistently hit the pricing optimization sweet spot, profits go up. And with AI-powered software and the large datasets it can analyze, it’s infinitely easier to hit that moving target. AI algorithms analyze customer behavior and preferences to recommend products that are more likely to be purchased, increasing conversion rates. AI analytic adjusting prices in real-time based on demand, competition, and customer behavior ensures optimal pricing strategies that maximize revenue.
     
  2. Making the right recommendations
    One aspect of personalization, recommendations, is in a class of its own. Ecommerce personalization in an online store goes considerably beyond what shoppers can expect to enjoy in a brick-and-mortar store. AI analytic can retrieve actionable insights about shoppers such as how they’ve browsed and their purchase history, that allow accurate prediction of what they want and recommendation of the right item or similar products. AI analytic understanding customer preferences, purchase patterns, and pain points allows businesses to refine their offerings and marketing strategies also analyzing customer reviews and feedback help businesses gauge customer sentiment and address issues proactively.
     
  3. Intuitively cross-selling and upselling
    Which products would your shoppers be likely to add to their carts as they’re happily checking out? Product recommendation technology is yet another ecommerce tool enhanced by artificial intelligence. Targeted Campaigns for AI enables precise audience segmentation and targeting, ensuring that marketing efforts reach the right customers with the right message. You can use frequently bought together data created by collaborative filtering to inform how you respond.
     
  4. Preventing online selling fraud
    The good news: AI can fight that problem in some advanced ways. It used to be that armies of employees had to painstakingly review transactions for anomalies. How machine-learning algorithms can engage in fraud detection, using complex rules to analyze millions of big-data points and instantly spot suspicious behavior, is impressive. For instance, a criminal trying to commit a fraudulent transaction might enter an incorrect shipping address that something a human would never be able to notice or respond to, much less in the amount of time an algorithm could flag it.
     
  5. Automating customer support
    When it comes to good customer sevice, chatbots and other types of virtual assistants make excellent online support reps. AI analytic is obviously involved in pretty much everything about a chatbot. Their functionality can leverage NLP to help them determine shoppers needs, and with applications of machine learning solutions, they can improve their knowledge over time to become even wiser digital butlers. AI analytic analyzes customer data to create personalized loyalty programs that reward frequent shoppers and encourage repeat business. For proactive engagement AI predictive analytics help businesses engage with customers proactively, addressing their needs and concerns before they escalate.
     
  6. Reducing manual labor
    Aside from impacting what goes on at the technology levels in an ecommerce store, as with other industries, AI can take on mundane daily tasks and lower employee headcount. The phenomenon of human retail associates being displaced by bots and automation is unfortunate, to be sure, but when it comes to the bottom line, not many companies argue with the fact that AI is the superior hire.
     
  7. Winning shoppers with personalization
    E-Commerce personalization has been a hot commodity for a while, but AI has put it on steroids. With AI analytic, computers can capture and process huge amounts of customer data and provide insightful real-time analytics, allowing websites to act like trustworthy guides that suggest the right items and offer attractive discounts.

Impact your revenue with AI search

The ecommerce world has become an extremely competitive place, as a result of COVID-19, which brought locked-down people online in droves, followed by their settling in as online shoppers happy to keep reveling in the pleasures of digital shopping. That sounds daunting, but while a majority of businesses have invested in AI technologies, only about 15% are actually deploying AI capabilities. So if your retail site is getting lost in the tidal wave of ecommerce industry craziness, in terms of major decision making, applications of artificial intelligence could be the life raft for your business before it goes crashing down.

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Photo Generated by AI

Conclusion

AI analytics is revolutionizing e-commerce by enhancing personalization, improving operational efficiency, and providing deeper customer insights. As technology continues to evolve, its impact on e-commerce is likely to grow, offering even more innovative ways to engage and serve customers. AI analytics has revolutionized the e-commerce industry by providing valuable insights and optimizing various aspects of the business. By leveraging AI analytics, e-commerce platforms can enhance customer experience, improve operational efficiency, and gain a competitive edge in the market. As AI technology continues to advance, its applications in e-commerce will expand, driving further innovation and growth in the industry.

BTS.id (Bridge Technology Service), as a leading technology company, provides comprehensive services and support to help businesses harness the power of AI and drive their online growth. Let's partner with BTS.id (Bridge Technology Service) and make AI the primary driver of your e-commerce success.

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Meningkatkan Konversi dengan Web AI di E-commerce

Setelah pandemi Covid-19 berlalu, E-Commerce telah menjadi segmen bisnis yang berkembang pesat serta banyak mendapatkan perhatian. Keinginan untuk memenuhi kebutuhan, serta keterbatasan yang diberlakukan kala itu terus beradaptasi demi berbelanja untuk memenuhi kebutuhan hidup, dan dampaknya industri e-commerce juga turut berkembang.

Meningkatkan konversi dengan Web AI di e-commerce melibatkan berbagai teknik dan alat yang memanfaatkan kecerdasan buatan untuk menarik perhatian pelanggan dan mempertahankan pelanggan, serta mendorong mereka untuk melakukan transaksi pembelian.

 

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Tanpa kita sadari atau tidak, web AI telah disematkan di banyak sekali sisi dari e-commerce ini. Mulai dari penyusunan produk yang direkomendasikan untuk user, lalu mengamati serta menganalisis kebiasaan dan pola user dala berbelanja, masalah kemanan atau proteksi pada metode pembayaran, dan lain sebagainya.

Beberapa strategi utama dalam meningkatkan konversi dengan web AI di E-commerce adalah sebagai berikut :

1. Personalisasi Konten dan Produk
Dengan menganalisis riwayat penjelajahan, interaksi, dan demografi user, memungkinkan web AI untuk membuat rekomendasi produk atau layanan yang relevan secara real-time. Penyesuaian riwayat ini mendorong user menjelajah lebih jauh, hingga akhirnya melakukan pembelian.
Dengan menggunakan algoritma AI memungkinkan untuk menganalisis perilaku belanja user dan merekomendasikan produk yang relevan. Amazon menggunakan AI untuk menampilkan produk yang mungkin disukai pengguna berdasarkan riwayat penelusuran dan pembelian.
 

2. Chatbot dan Asisten Virtual
Chatbot web AI ini dapat menyediakan dukungan pelanggan yang cepat dan efektif di situs web. Chatbot AI dapat menangani pertanyaan umum, membantu pengguna menavigasi situs, dan menyarankan produk, bahkan di luar jam kerja. Memangkas waktu tunggu dan meminimalisir kesulitan, chatbot meningkatkan kepuasan pelanggan dan melancarkan proses pembelian.
 

3. Optimasi Mesin Pencari (SEO) dan Pencarian Cerdas
AI menganalisis pola pembelian, ulasan pelanggan, dan tren industri untuk merekomendasikan produk dan layanan yang paling relevan kepada pengunjung.
Menggunakan web AI untuk memberikan hasil pencarian yang lebih relevan berdasarkan preferensi dan riwayat penelusuran user, memungkinkan para user untuk mencari produk menggunakan gambar atau perintah suara, meningkatkan kenyamanan dan menemukan produk lebih cepat.
 

4. Penerapan Dynamic Pricing
Dynamic pricing merupakan sebuah sistem AI yang dapat membantu pengguna menyesuaikan harga produk, serta memberikan rekomendasi perubahan harga, berdasarkan harga yang diberikan oleh kompetitor di platform yang sama. Web AI menyesuaikan harga produk secara real-time berdasarkan permintaan, persaingan, dan perilaku pelanggan. Bahkan AI memprediksi lonjakan permintaan dan menyesuaikan inventaris serta harga secara proaktif.

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5. Verifikasi Pembayaran yang Solid
Beberapa e-commerce menggunakan sistem verifikasi pembayaran yang lebih baik untuk menjamin keamanan transaksi yang dilakukan. Keberadaan web AI dalam E-commerce juga dapat dilihat pada penambahan layer verifikasi pembayaran sehingga lebih solid. Pada proses pembayaran akan dilakukan dengan cara berlapis yang lebih aman, sehingga dipastikan hanya pengguna yang sah saja yang dapat melakukan transaksi dengan menggunakan akun yang bersangkutan.
 

6. Keamanan dan Pencegahan Penipuan
Menggunakan teknologi AI untuk verifikasi identitas pengguna, mengurangi risiko penipuan identitas. Web AI dapat digunakan untuk memantau dan menganalisis transaksi secara real-time, mencari pola yang mencurigakan dan anomali yang dapat menunjukkan aktivitas penipuan. Algoritma pembelajaran mesin (machine learning) dapat dilatih menggunakan data historis untuk mengenali transaksi yang mungkin berisiko tinggi. Dengan menggunakan AI untuk memantau transaksi dan mendeteksi aktivitas mencurigakan secara real- time dapat meningkatkan kepercayaan pelanggan. 


Lalu bagaimana dengan benefit dengan diterapkannya web AI dalam e-commerce?

Manfaat dari penggunaan kecerdasan buatan (AI) dalam e-commerce sangatlah beragam dan signifikan. Berikut adalah beberapa manfaat utamanya:

  • Peningkatan Efisiensi Operasional
    AI dapat mengotomatisasi tugas-tugas operasional seperti manajemen inventaris, pengelolaan rantai pasokan, dan pemrosesan pesanan. Hal ini membantu mengurangi biaya operasional dan meningkatkan produktivitas, memungkinkan fokus lebih besar pada strategi bisnis yang lebih tinggi.
     
  • Penyaringan Penipuan yang Lebih Efektif
    AI dapat digunakan untuk mendeteksi dan mencegah penipuan dengan lebih baik, baik dalam transaksi keuangan maupun keamanan data. Sistem AI dapat secara otomatis mengenali perilaku mencurigakan dan mengambil tindakan preventif secara real-time.
     
  • Inovasi Produk dan Layanan
    AI memungkinkan e-commerce untuk mengembangkan produk dan layanan baru yang lebih sesuai dengan kebutuhan pelanggan. Melalui analisis data dan umpan balik pelanggan secara real-time, bisnis dapat beradaptasi lebih cepat terhadap perubahan pasar dan meningkatkan daya saing mereka.
     
  • Analisis Data yang Mendalam
    AI memungkinkan analisis yang lebih dalam terhadap data pelanggan dan transaksi. Dengan menggunakan teknik-teknik seperti machine learning, AI dapat mengidentifikasi pola-pola tersembunyi dalam data yang dapat digunakan untuk membuat keputusan bisnis yang lebih baik dan memprediksi tren pasar.
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KESIMPULAN
Dengan memanfaatkan web AI di platform e-commerce, bisnis dapat meningkatkan konversi melalui personalisasi yang lebih baik, layanan pelanggan yang lebih responsif, penargetan pemasaran yang lebih tepat, dan pengalaman belanja yang lebih mulus dan aman. Integrasi AI tidak hanya membantu dalam menarik dan mempertahankan pelanggan tetapi juga dalam mengoptimalkan operasi bisnis secara keseluruhan.

BTS.id (Bridge Technology Service), sebagai perusahaan teknologi terkemuka, menyediakan layanan dan pendampingan komprehensif untuk membantu bisnis memanfaatkan kekuatan AI dan juga mendorong pertumbuhan online e-commerce Anda.
Mari bermitra dengan BTS.id (Bridge Technology Service) dan jadikan AI sebagai pendorong utama kesuksesan e-commerce Anda.

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Ancaman Cyber Attack dan Pentingnya Cyber Security di Sektor Perbankan

Kasus kebocoran data atau peretasan kembali terjadi di Indonesia. Setelah dihebohkan dengan peretasan 1,3 miliar data Kartu SIM oleh hacker Bjorka pada tahun 2022 lalu, kini peretasan data pribadi kembali terjadi. Terbaru, dugaan diretasnya 204 juta data Daftar Pemilih Tetap (DPT) dari website KPU dengan metode phising. Bahkan hacker anonim bernama Jimbo menjual data tersebut dengan harga US$ 74.000 atau Rp. 1,2 Miliar di darkweb BreachForums - dimana situs ini memang biasa digunakan oleh para hacker untuk menjual data yang berhasil dicuri. Dilansir dari BBC Indonesia, data yang diretas dan dijual tersebut memang cocok dengan DPT yang dimiliki oleh KPU berdasarkan 500.000 data sampel yang dibagikan di BreachForums.

Peretasan yang dilakukan oleh hacker memang menjadi sebuah masalah besar di era digital saat ini, karena bisa saja data pribadi disalahgunakan oleh pihak-pihak yang tidak bertanggungjawab. Seperti pada peretasan data DPT di website KPU, data yang diretas oleh hacker anonim Jimbo meliputi NIK, Nomor KK, Nomor KTP, Nomor Paspor untuk pemilih di luar negeri, Nama Lengkap, Jenis Kelamin, Tanggal & Tempat Lahir, Status Pernikahan, Alamat Lengkap (RT, RW, Kelurahan, Kecamatan, dan Kota/Kabupaten), hingga kodefikasi TPS. 

 

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Sumber: Kominfo

 

Mengapa Bisa Terjadi Peretasan Data Pribadi Oleh Hacker?

Kasus peretasan seperti yang sudah dijabarkan diatas memang bukan sekali saja terjadi di Indonesia. Dari tahun ke tahun, kasus peretasan tidak berkurang melainkan semakin banyak terjadi. Mengapa bisa terjadi? Peretasan yang dilakukan oleh hacker karena data security yang buruk. Para hacker biasanya memanfaatkan kelemahan atau celah keamanan yang ada pada website tersebut.

Dilansir dari Kominfo, terdapat 4 modus peretasan. Pertama, peretasan bisa terjadi karena adanya injection SQL yang membuat hacker dapat mengakses data lewat server melalui kesalahan yang ada dalam filter inputnya. Kedua, hacker juga dapat mengakses data akun pengguna milik orang lain yang kemudian melalui akun tersebut dapat masuk ke akun-akun lainnya atau biasa disebut Insecure Direct Object References (IDOR). Ketiga, Common Vulnerabilities and Exposures (CVE) hacker dapat melakukan peretasan karena aplikasi atau website yang dipakai sudah tidak di update lagi. Keempat, peretasan bisa terjadi karena human error atau kesengajaan karena minimnya pengetahuan terkait cyber security.

Kebocoran data yang terjadi bisa saja dikarenakan banyak faktor, seperti malware, kesalahan konfigurasi softwaresocial engineering, keamanan software yang lemah, ataupun human error. Oleh karena itulah, pemerintah Indonesia melalui Kominfo juga sudah mengeluarkan peraturan perundang-undangan terkait perlindungan data pribadi, seperti UU PDP dan UU ITE.

 

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Apa Bahaya yang Ditimbulkan jika Data Pribadi Bocor?

Dengan perkembangan teknologi informasi dan digitalisasi data, dapat memudahkan dalam menjalani kegiatan atau bahkan pekerjaan karena lebih efisien untuk mengaksesnya secara digital. Namun, dibalik kemudahan tersebut salah satu ancaman yang cukup mengkhawatirkan adalah keamanan data pribadi. Kebocoran data yang dilakukan secara sengaja maupun karena adanya peretasan dapat mengakibatkan kerugian bagi pemilik data tersebut.

Banyak sekali kerugian yang ditimbulkan jika data pribadi bocor, seperti penyalahgunaan data pribadi oleh pihak yang tidak bertanggungjawab. Ini dapat berpotensi terjadinya tindak kriminal dan kerugian secara finansial seperti pemerasan, penipuan, pengancaman, bahkan bullying secara online. Data pribadi juga dapat dijual oleh hacker kepada pihak yang tidak diketahui apa motif dan tujuannya. Hal ini juga membuat hak kendali atas data pribadi tidak dapat dikontrol oleh pemiliknya. 

 

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Sektor Keuangan Rentan Mengalami Cyber Attack dan Penyalahgunaan Data Pribadi

Transformasi dan meningkatnya aktivitas digital ternyata juga berbanding lurus dengan semakin masifnya cyber attack. Perbankan menjadi salah satu sektor dengan arus data yang intensif. Menurut Laporan IMF, sektor perbankan sangat rentan mengalami cyber attack yang dilakukan oleh para hackerCyber attack yang paling sering terjadi diantaranya skimming, hacking, spoofing, phishing, business email compromise, defacing, hingga social engineering. Cyber attack ini mengakibatkan kerugian rata-rata tahunan di sektor jasa keuangan hingga mencapai US$100 Miliar.

Berdasarkan laporan Bank Indonesia, bahwa jaringan mereka mengalami serangan ransomware. Insiden cyber attack tidak hanya meningkat dari sisi kuantitas, melainkan juga dari sisi kecanggihan serangan yang dilakukan oleh hackerCyber attack pada sektor jasa perbankan menyerang pada platform dan aplikasi mobile banking yang saat ini memang sangat digunakan untuk mempermudah transaksi. Adanya cyber attack tersebut mempengaruhi layanan dan stabilitas sistem keuangan, seperti layanan ATM dan mobile banking tidak dapat diakses. Selain itu, kerugian secara finansial dan psikologis yang dialami oleh nasabah membuat kepercayaan nasabah juga akan semakin menurun jika cyber attack semakin marak dalam menyerang sektor perbankan.

Oleh karena itulah, data privacy management menjadi elemen wajib dan harus dilaksanakan di era digital, khususnya sektor perbankan. Untuk menjaga integritas sektor jasa perbankan, pemerintah melalui Otoritas Jasa Keuangan (OJK) sudah melakukan himbauan untuk meningkatkan tata kelola IT dan manajemen resiko. OJK juga turut mengembangkan dan mendukung perbankan digital, meningkatkan keamanan melalui produk hukum serta kebijakan untuk cyber security.

 

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Pentingnya Cyber Security untuk Melindungi Data Pribadi

Kasus kebocoran data pribadi dapat berasal dari lemahnya sistem keamanan pada penyelenggara sistem elektronik ataupun bisa jadi karena kelalaian dari manusia yang mengakibatkan data pribadi diretas. Kerahasiaan dan perlindungan terhadap data pribadi sangatlah penting. Tidak hanya pemerintah, namun hampir seluruh perbankan, perusahaan dan pemilik bisnis lain yang juga melakukan digitalisasi data dan wajib memastikan bahwa kerahasiaan dan perlindungan data terjamin dengan baik. Cyber security digunakan untuk mencegah adanya ancaman cyber attack yang menargetkan pencurian data pribadi, malware dan virus, denial of service ataupun aktivitas ilegal lainnya.

Cyber attack tidak hanya merugikan secara finansial, kehilangan data, kerusakan pada sistem melainkan juga dapat menurunkan tingkat kepercayaan dan menurunnya reputasi pemerintah, perbankan atau perusahaan. Maka dari itu, cyber security adalah hal wajib karena melindungi data pribadi adalah tanggung jawab bersama, baik itu individu, organisasi, perusahaan, maupun pemerintah agar data pribadi dan sistem tetap terlindungi, aman, dan tidak disalahgunakan oleh pihak yang bertanggungjawab.

Untuk memastikan tidak terjadi cyber attack oleh hackercyber security menjadi elemen wajib di era digitalisasi saat ini. Apalagi untuk sektor perbankan, perlindungan data pribadi sebagai sebuah kewajiban dan bentuk komitmen Bank kepada nasabah. Ini harus dilakukan agar sektor perbankan semakin kompetitif dan kepercayaan nasabah semakin meningkat karena merasa data pribadi dan data keuangan mereka terjaga dengan baik.

 

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Photo by Pixabay: https://www.pexels.com/photo/security-logo-60504/

 

Solusi: Antisipasi Cyber Attack dengan Cyber Security

BTS.id memiliki tim yang profesional dan sudah berpengalaman dalam mengatasi cyber attack yang dapat merugikan bisnis Anda. BTS.id terus berinovasi untuk meningkatkan cyber security melalui layanan dan program yang diperuntukan melindungi data privasi Anda. Dengan menggunakan cyber security yang tepat dan efektif dapat meminimalisir adanya dan dampak negatif dari cyber attack. Anda dapat berkonsultasi dengan tim kami karena BTS.id selalu siap membantu permasalahan Anda. Ingat, perlindungan data pribadi adalah hal penting dan sebuah kewajiban. Jangan sampai kebocoran data pribadi maupun data perusahaan akan merugikan Anda di masa depan!

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