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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: An AI-Powered Wearable Framework for Frictionless Retail and Loss Prevention
Authors Name: Taherim Fatema Sheikh , Prashik Fulke , Naju Wasnik , Yash Gaikwad , Danish Sheikh
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IJRTI_210132
Published Paper Id: IJRTI2604058
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: 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.
Keywords: Frictionless Retail, Wearable Technology, ESP32, Trust Score, Sensor Fusion, Theft Prevention, Smart Shopping Cart
Cite Article: "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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ISSN: 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
Publication Details: Published Paper ID: IJRTI2604058
Registration ID:210132
Published In: Volume 11 Issue 4, April-2026
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Page No: a427-a431
Country: Nagpur, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604058
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604058
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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