GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 2
Development of YOLOMART, a Computer Vision– based Smart Retail Platform for Digital Commerce
Authors
Pavithra G, Swapnil S N, Sambhram Nenad, Vishal krishna, Diya jeevanshree, Gungun Prajwal
Abstract
The Consumer shopping expectations are rapidly evolving, with increasing demand for experiences that are faster, more personalized, and highly intuitive. Conventional supermarket models—characterized by manual checkout processes, long queues, and limited personalization—are increasingly inadequate in meeting these expectations. YOLOMART addresses these challenges by introducing a fully vision-driven, intelligent smart-retail ecosystem that redefines customer interaction within physical store environments. YOLOMART is a comprehensive smart-retail platform that seamlessly integrates computer vision, machine learning, sensor fusion, and autonomous mobility to deliver a truly frictionless shopping experience. By unifying a mobile-based application with real-world automation through a human-following smart cart, the system transforms the entire shopping journey— from store entry to final checkout—into an efficient, engaging, and technologically enriched process.
Pages:
4699 - 4704