
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Real-Time Location Systems (RTLS): Harnessing IoT for Enhanced Tracking and Efficiency
Author(s) | Ashok Kumar Kalyanam |
---|---|
Country | United States |
Abstract | RTLS represents the new generation of technologies that harness the power of the IoT to perform asset, people, and operational tracing with accuracy in real-time. By integrating location-tracking hardware with progressive data analytics platforms, RTLS drives better visibility and operational efficiency in various industries, but one in particular: retail. IoT acts as the backbone for RTLS, where different systems interconnect for data collection, processing, and analysis. The benefits of RTLS in retail include improved inventory accuracy, enhanced customer experience through personalized services, streamlined supply chain operations, and real-time insights into store performance. The technical architecture of RTLS involves multilayers, which include data collection with the help of IoT-enabled sensors, transmission of data over wireless networks, and centralized processing over cloud or edge computing platforms for actionable insights provided through user-friendly dashboards. These systems are increasingly adopted in retail settings around the world, as case studies have demonstrated their effectiveness in optimizing store layouts, theft prevention, and contactless checkout experiences. This article discusses RTLS, its basic theory, IoT cooperation, technical architecture with a detailed chart showing how this works. Case studies from the world and applications in renowned retail brands highlight some of the transformative potentials of RTLS. By examining these implementations, it shows how RTLS is capable of driving innovation, efficiency, and customer satisfaction in modern retail. |
Keywords | RTLS, IoT, Retail Technology, RFID, Location Tracking, Real-time Monitoring, Smart Retail, Asset Management, Data Analytics, and Wireless Networks |
Field | Engineering |
Published In | Volume 2, Issue 6, November-December 2020 |
Published On | 2020-11-11 |
DOI | https://doi.org/10.36948/ijfmr.2020.v02i06.23454 |
Short DOI | https://doi.org/g82jbc |
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E-ISSN 2582-2160

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