AI Inventory Management

Overview

An AI-powered inventory management system that forecasts demand, optimizes stock levels, and automates reorder processes to minimize costs while preventing stockouts.

The Challenge

Retailers and distributors struggle with inventory optimization - carrying too much inventory ties up capital, while stockouts lead to lost sales and customer dissatisfaction. Traditional forecasting methods fail to account for complex demand patterns.

Our Solution

We developed a predictive inventory system that uses machine learning to forecast demand at the SKU level, considering seasonality, promotions, external factors, and market trends. The system automatically generates and places reorder recommendations.

Results

• 42% reduction in stockouts
• 28% decrease in carrying costs
• Automated reorder for 10,000+ SKUs
• 95% forecast accuracy
• 18% improvement in inventory turnover