Retail

Related projects
Project overview

In a retail project we oversaw, our main focus was on improving the efficiency of product labeling in supermarkets. This involved the use of a bounding box tool for items both on the shelves and at checkout scanners, moving away from the traditional barcode scanning methods. Previously, cashiers had to align barcodes manually, a process that was not only error-prone but also time-consuming. The introduction of AI-driven scanners has been a game-changer. These scanners utilize image recognition technology to identify products from different angles, eliminating the need for precise barcode alignment. This advancement significantly speeds up the checkout process, ensuring a smoother customer flow, particularly during busy times.

Project Objectives

 AI scanners are not limited to just checking out items; they play a pivotal role in advanced inventory management systems. By tracking purchases in real-time with high accuracy, these systems offer crucial insights into stock levels. This enables supermarkets to receive automatic notifications for restocking, minimizing the chances of running out of products. Additionally, AI leverages historical data and current trends to forecast inventory requirements accurately, helping supermarkets maintain optimal stock levels. This not only meets consumer demand more efficiently but also prevents issues related to overstocking.