International Journal of Science, Engineering and TechnologyAuthors: Palwinder Kaur Sandhu
Abstract: The Internet of Things (IoT), which seamlessly connects devices, customers, and business operations, is quickly changing the retail landscape in today's data-driven economy. Smart shelves, RFID systems, mobile beacons, and AI-powered cameras are just a few examples of the Internet of Things solutions that retailers are embracing more and more in order to gather real-time data on consumer behavior, inventory movement, and in-store interaction. When IoT and big data analytics are combined, retailers can instantly process these enormous datasets and transform them into actionable insights for dynamic pricing, demand forecasting, personalized marketing, and effective supply chain management.Present-day applications show how top retailers use IoT analytics to improve customer experiences, optimize store designs, and cut expenses while preserving flexibility in a cutthroat industry. But there are still issues with guaranteeing consumer privacy, data security, and infrastructure scalability. This study examines how big data analytics-driven IoT applications are transforming retail operations and altering business plans for sustained success.
DOI: http://doi.org/10.5281/zenodo.17078582
