Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Traditional supermarket checkout infrastructures
frequently create operational bottlenecks,
yielding extended wait times and degraded customer
satisfaction. While Internet of Things (IoT) implementations
such as RFID-equipped smart carts and mobile
Scan-and-Go applications provide alternatives, they
introduce distinct trade-offs regarding infrastructure
expenditure, power demands, and susceptibility to
shrinkage (theft). This review investigates existing retail
automation paradigms and presents the conceptual
framework for Cortex Band, a cost-effective, hybrid
artificial intelligence (AI) system designed to optimize
both retail security and throughput. By disaggregating
the scanning mechanism from the shopping cart via an
ESP32-driven wearable device, the system facilitates
hands-free product logging. This wearable hardware
operates synchronously with a sensor-fused verification
architecture and an AI-managed backend that continuously
evaluates a dynamic shopper ”Trust Score.”
By analyzing scan events alongside real-time physical
cart data, the platform categorizes user behavior, permitting
reliable customers to utilize a frictionless walkout
exit while selectively identifying discrepancies for
targeted staff auditing. This approach offers a scalable,
user-centric pathway to eliminating checkout friction
without sacrificing inventory integrity.
"An AI-Powered Wearable Framework for Frictionless Retail and Loss Prevention", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a427-a431, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604058.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator