🔒
Premier International Publisher
Serving Researchers Since 2012

Emerging IoT in E-Business. A new Revolutionary in Business Sector

DOI : 10.17577/IJERTCONV14IS070015
Download Full-Text PDF Cite this Publication

Text Only Version

Emerging IoT in E-Business. A new Revolutionary in Business Sector

P. Malathi, Assistant Professor, Department of Computer Science and Engineering, Sri Bharathi Engineering College for Women, Pudukkottai.

Dr. P. Suganthi, Associate Professor, Department of Computer Science and Business System, Thiagarajar College of Engineering

Email id :malathi957837@gmail.com,suga.pathma@gmail.com

ABSTRACT – The modern digital era is witnessing a monumental shift in business operations through the synergy of Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML). E- Businesses are harnessing these technologies to redefine productivity, enhance customer engagement, and create intelligent ecosystems. IoT automates and monitors processes, AI brings interpretative intelligence, and ML refines predictive capabilities. This integrated framework is empowering businesses to adapt dynamically to market demands while delivering superior experiences. This paper explores the emerging role of IoT in e-business, its benefits, real-world use cases, challenges, and future prospects, providing a roadmap for future entrepreneurs.

Keywords: Artificial Intelligence, Internet of Things,, E-Business.

.

Keywords— Internet of things, Wi-fi, Wireless sensor networks, Thingspeak website.

  1. INTRODUCTION

    The The Internet of things (IoT) has long been a booming field. It has affected many industries, from tourism to healthcare to logistics. And everywhere this effect has been positive: lower expenses, better customer experience, additional reliable data, etc. In this article, well show the power of IoT in eommerce, how it can help you grow your ecommerce business, its benefits, use cases, and some of large corporations that use it.

    • How IoT Helps Sell Impossible Things Online?

    In 2021, eCommerce sales in the U.S. increased by 14.2%, which is far less than the nearly 40% growth in 2020 but still an impressive figure. Brick-and-mortar stores, on the other hand, showed an 18.5% sales growth. In part, this was

    due to peoples preferences (e.g. liking the in- person shopping experience), but also because goods like meat, dairy, flowers, and medical supplies are considered impossible to sell online.

    Facts say otherwise. About 18% of Internet users bought flowers and gift sets online, 62% of shoppers order groceries on the Internet at least occasionally, and hospitals do a large share of restocking online.

    So what has changed?

    Smart devices became more prevalent. In the case of flowers and perishable goods, they made tracking storage conditions easier, leading to a sharp increase in the quality of the delivered items. In the case of medical supplies, smart devices ensured the consistency of the supply chain, making the goods source and condition reliable.

  2. CORE BENEFITS OF IOT IN E- COMMERCE

  1. Waste Reduction:

    IoT systems track inventory with high precision, reducing the chances of overproduction and spoilage, especially critical for perishable goods.

  2. Predictive Maintenance:

    Devices equipped with IoT sensors can predict when maintenance is required, preventing unexpected breakdowns and costly downtimes.

  3. Logistics Optimization:

    GPS trackers and smart sensors enable real-time route optimization and shipment tracking, reducing delays and enhancing supply chain efficiency.

  4. Automation of Operations:

    Routine tasks like inventory updates, order fulfillment, and shipment scheduling are automated, allowing businesses to allocate human resources to more strategic roles.

  5. Data-Driven Insights:

III. STRATEGIC USE CASES OF IOT IN E-

IOT IN E-COMMERCE

Constantly streaming data from connected devices offers valuable insights into consumer behavior, product performance, and operational inefficiencies.

Rolls Royce:

Implements IoT-enabled predictive maintenance systems in aircraft and ship engines, improving safety and operational efficiency.

H&M:

V. CHALLENGES AND LIMITATIONS OF

Blends IoT with sustainability by rewarding recycling efforts and offering smart rental services for clothing using blockchain and IoT integration.

COMMERCE

  1. Eliminating Logistics Bottlenecks: Predictive analytics based on IoT data optimizes inventory and prevents shortages or excess stock situations.

  2. Enhancing Customer Experience: Personalized product suggestions based on real- time usage patterns or location data significantly improve customer satisfaction.

  3. Inventory Management Revolutionized: RFID tags and smart shelves ensure that inventory counts are always accurate, minimizing the risks of "out of stock" situations.

  4. Troubleshooting Operational Issues:

    By analyzing sensor data, businesses can identify root causes of problems like abandoned carts, delayed deliveries, or return spikes.

  5. Performance Monitoring:

Businesses can measure the performance of supply chain nodes, warehouses, or sales channels accurately with IoT analytics.

IV. INDUSTRY LEADERS AND IOT APPLICATIONS

Amazon:

Pioneered IoT in warehouse management with robotics, cashier-less stores (Amazon Go), and smart reordering with Dash buttons.

Microsoft:

Uses IoT for monitoring environmental conditions during shipment, reducing product damage and delivery delays.

  1. Data Privacy Issues:

    Collecting personal data via IoT devices must comply with regulations like GDPR. Transparency in data usage is crucial to building trust.

  2. Device Security Risks:

    IoT devices are potential targets for cyberattacks if not adequately protected, threatening the integrity of connected ecosystems.

    VI. SYNERGY OF AI, ML, AND IOT IN E-

  3. Software and Systems Integration: Integrating IoT systems with existing enterprise applications like ERP, CRM, and Inventory Management Systems can be complex and resource-intensive

    BUSINESS

    The true power of modern e-business comes from integrating AI, ML, and IoT:

    • AI provides decision-making intelligence by interpreting massive IoT data sets.

    • ML enhances predictive analytics, learning from historical data to improve future predictions.

    • IoT delivers real-time, actionable data streams.

Examples:

  • Dynamic pricing models adjust product prices automatically based on demand sensed by IoT devices.

  • Automated supply chains predict demand spikes and prepare accordingly without human intervention.

  • Smart customer support systems predict user issues even before they arise.

    VII. ROLE OF BLOCKCHAIN IN IOT-

    POWERED E-COMMERCE

    Blockchain and IoT together can revolutionize trust and security n online commerce:

  • Smart Contracts:

    Automatically execute transactions when IoT devices confirm delivery or quality parameters.

  • Secure Data Sharing:

    Blockchain ensures that sensor data cannot be tampered with during transit.

  • Transparency:

    Every stakeholder suppliers, customers, and regulators can verify product history in real- time.

    Example:

    A blockchain ledger tracking coffee beans from plantation to customer ensures product authenticity and ethical sourcing.

    1. SMART CUSTOMER RELATIONSHIP MANAGEMENT (CRM) THROUGH IOT

      How IoT is Transforming CRM:

  • Real-Time Interaction:

Understand and respond to customers needs instantly.

  • Hyper-Personalization: Recommendations, promotions, and service options are customized in real-time.

  • Lifecycle Management:

    Track customer journeys across all touchpoints, from first visit to loyalty rewards.

    Example:

    A smart appliance retailer uses IoT device data to send maintenance reminders, offer consumable refills, and suggest upgrades.

    1. ENVIRONMENTAL AND SOCIAL IMPACT OF IOT IN E-COMMERCE

      Positive Impacts Include:

  • Reduction in Carbon Footprint: Smarter logistics and optimized operations reduce greenhouse gas emissions.

  • Minimized Food Wastage:

    IoT-enabled expiry tracking ensures timely consumption of perishables.

  • Enhanced Consumer Awareness:

    Real-time data enables consumers to make environmentally friendly purchasing decisions.

    Example:

    Retailers display carbon impact scores alongside product listings, helping customers make greener choices.

    1. FUTURE TRENDS: WHERE ARE WE HEADING?

      The next decade will see the rise of:

      • Edge Computing:

        Reducing latency by processing data closer to devices instead of cloud servers.

      • 5G Networks:

        Supporting millions of interconnected devices with lightning speed.

  • Emotion AI:

    IoT systems that recognize and respond to human emotions for a deeper customer connection.

  • Quantum Computing:

    Allowing the analysis of vast IoT data sets instantly, unlocking new possibilities.

  • Sustainable IoT:

Devices designed for minimal energy consumption and recyclability.

  1. CONCLUSION

In modern years, there is rapid development & universalization of artificial intelligence with Internet of Things . The combination of these emerging technologies provides measure gateways of growing technological world. The progress of society & technology based on these recent trends. The impact of ebusiness enables values, decision making process, support choices & faced many real-life challenges that mentioned in applications. Crop production gives smart farming appliances to each farmer. It should learn from data & train those data for enhanced growth. These AI with IOT rising technologies has continuous development process & greater development prospects in future. It extends from smart life, smart homes, smart applications, smart industries, and smart cities with smart peoples. These combination makes delightful to every consumer.

REFERENCES :

  1. Wenbo Yao, The application of artificial intelligence in the internet of things, International Conference on Information Technology and Computer Application, 2019.

  2. Kapil Bakshi, Kiran Bakshi, Considerations for Artificial Intelligence and Machine Learning: Approaches and Use Cases, IEEE, 2018.

  3. Vrushali Dhanokar, Internet of Things: Future of World, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 9, Issue 3, March 2020.

  4. Dai Qinghong. The analysis of the current situation and application prospect of internet of things [J]. Industry and Application Security, 2018.

  5. Tshepo Alex Malapane, the Impact of Artificial Intelligence and Internet of Things in the Transformation of E-Business Sector, IEEE 978-1-7281-0998-5, 2019.

  6. Richa Singh, Sarthak Srivastava, Rajan Mishra, AI and IoT Based Monitoring System for Increasing the Yield in Crop Production, IEEE International Conference on Electrical and Electronics Engineering, 2020.

  7. C. Verdouw, H. Sundmaeker, B. Tekinerdogan, D. Conzon, and T. Montanaro, Architecture framework of IoT-based food and farm systems: A multiple case study, Computers and Electronics in Agriculture, vol. 165. 104939, 2019.

  8. Vrushali Dhanokar, "Classifying Chest Pathology Images Using Deep Learning Techniques", International Research Journal of Engineering and Technology, Vol.7, Issue 1, January-2020