In this proof-of-concept, we are trying to automate the visual inspection process by having computer vision act as another set of eyes watching over every shelf in a store. The Edge Impulse FOMO model that we train can identify the products in a store's inventory, and the application alerts the staff when an item needs to be restocked. The FOMO model is trained to identify all the products in the store. The model can identify and count the number of objects available on the shelf. When the count falls below a threshold, the staff is alerted immediately, which ensures a proper supply of products.