Abstract: “The disruption of the worldwide supply chain and logistics distribution caused by COVID-19 is well known, and it presented a new set of commercial issues The issue of inaccurate inventory is causing retailers to struggle. Inventory is a crucial component in creating the proper order demand and plays a significant part in assessing shop demand. The potential for a camera AI-based inventory management and replenishment system is enormous, notwithstanding the usage of more conventional techniques like cycle counts and third-party inventory services. Since some slow moving items make it difficult to interpret the product sales pattern, a quantity of machine learning models consumed remained employed to determine theoretical inventory based on previous transactional data (time series). However, these models have not been able to address the issue of inventory inaccuracy. Although slow-moving items may not account for a large portion of sales (the80-20 rule), they may assist draw people”

Keywords: AI Camera, ERP, Edge Computing, Inventory management, Generative AI, Retail Inventory management.