Challenge

A national retail chain struggled with inventory forecasting, leading to stockouts and excess inventory costs.

Our Solution

We developed an AI-powered inventory management system that analyzes historical sales data, seasonal trends, and external factors to predict optimal stock levels.

Results

• 32% reduction in stockouts
• 24% decrease in excess inventory costs
• 18% improvement in overall inventory turnover