Empty shelves and misplaced items lead to poor sales. To address this issue, we utilize cameras and IoT sensors to monitor shelf conditions, identify products, and detect items that are out of stock. Our system achieves over 90% product recognition accuracy using basic cameras, often matching or surpassing the effectiveness of in-store merchandisers, all while providing real-time updates on stock levels. This technology reduces the need for routine checks and minimizes social interactions in the post-COVID environment. As a result, we help retailers boost sales by 5-7% and enhance satisfaction for both customers and employees. Staff can focus on more significant tasks, such as checking for expired items, assisting customers, and ensuring products are placed correctly and promptly. Our solution offers management valuable insights at the shelf level, facilitating better in-store execution, reducing waste, and supporting more informed decision-making.