Smart Shelf Monitoring Using YOLO

As modern retail processes are rapidly developing; inventory management becomes one of the key factors affecting the client’s needs and business competitiveness. The merchandising concept of product accessibility on the shelves contributes significantly to customers’ attitude and the retailer patronage. But the conventional methods of tracking inventories are inadequate in responding to the challenges of the dynamic retail setting thereby leading to problem such as stock-out and ineffective restocking. To address these challenges, this system harnesses the state-of-the-art YOLO algorithm to transform inventory control. By observing live camera feeds within stores, it predicts available shelf spaces, which list the products that are either low or out of stock in the store. In this continuous shelf monitoring perspective, one can easily anticipate shelf items which are running low so that immediate action for restocking is awakened. It also eradicating the feelings made by customers whenever they are faced with scenarios, such as having to walk past shelves that have no products. Moreover, it helps store personnel actively and accurately replenish all stock, making products available at all times thanks to notifications.