AI-Powered Shelf Price Verification: Matching Labels to POS Data

The blog post outlines an AI-powered workflow that automates the process of verifying product prices on retail shelf labels against a Point of Sale (POS) system using Roboflow Workflows and Google's Gemini API. By capturing a shelf image, the workflow detects shelf labels, extracts product names and prices, and validates them via an API query to the POS server. The results are visualized with bounding boxes on the image, color-coded to indicate price accuracy. The workflow employs a series of computer vision tasks, including object detection and optical character recognition (OCR), facilitating error reduction and efficiency in retail audits. It also offers guidance on setting up a simulated POS server using Supabase and configuring necessary parameters for integration. The solution is designed to streamline retail operations by minimizing manual price checks, thus enhancing accuracy and scalability across retail chains.