Abstract

Warehouse monitoring and management utilizes artificial intelligence to enhance efficiency in inventory tracking, stock counting, and database management. The system enables real-time updates to ensure accurate stock levels, allowing for quick adjustments based on incoming and outgoing goods. By automating stock counting, it reduces human error and speeds up the process, facilitating timely replenishments. The integration of a real-time database supports dynamic billing generation, streamlining the financial aspects of inventory management. Additionally, the system manages distributor and company databases, ensuring seamless communication and coordination among stakeholders. This AI-driven approach not only optimizes operational workflows but also improves overall productivity,making it an essential tool for modern warehouse management.