Empty spaces in a supermarket hanger Computer Vision Project

Here are a few use cases for this project:

1. Inventory Management: With the use of this model, retail managers could dynamically track product availability on supermarket shelves. By identifying which sections are empty, they can streamline restocking processes.

2. Customer Shopping Experience Improvement: The model could be used within a smartphone application to guide customers directly to stocked items they are searching for, and inform them in real-time if any items are out of stock.

3. Predictive Analytics for Supply Chain: By integrating this model with sales and supply chain data, it could assist in predicting future missing stock scenarios, contributing to smoother supply chain operations and avoiding customer disappointments.

4. Shelf Space Optimization: The model can be used by store managers to understand consumer behavior and optimize shelf space by recognizing patterns in which products are often missing from shelves.

5. Automated Checkout Systems: Integrating this model within an automated checkout system, the system could recognize when a product has been taken off the shelf and add it immediately to the customer's virtual basket, creating an efficient checkout process.