The system collects and analyzes historical sales data, market trends, and external factors to forecast demand accurately.

Machine learning models process the data to identify patterns, seasonality, and demand fluctuations, enabling proactive inventory management.

AI algorithms identify potential bottlenecks in the supply chain, such as transportation delays or production constraints, and recommend mitigation strategies.

The system provides real-time visibility into inventory levels, demand forecasts, and stock replenishment recommendations, facilitating efficient procurement and distribution processes.