Image Recognition for Retail
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Image Recognition for Retail

AI Development

Project Overview

We implemented a computer vision solution for a major retail chain to automate inventory tracking. Cameras installed in stores capture images of shelves, which are then processed by our AI models to identify out-of-stock items, misplaced products, and pricing errors. This real-time data allows store managers to optimize restocking schedules and improve shelf availability, leading to increased sales and better customer experience.

Project Gallery

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Project Info

Client

RetailNext Solutions

Date

July 2025

Technologies
Python PyTorch OpenCV AWS Sagemaker

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