AI-Powered Demand Forecasting for Retail

Challenge

The client faced frequent stockouts and overstock situations due to inaccurate demand predictions, leading to lost sales and increased costs.

Solution

Neurolytica implemented a machine learning solution that analyzed historical sales, seasonality, and external factors to generate precise demand forecasts. The system leveraged time-series analysis, data integration, and real-time dashboards.

Results

Stockouts reduced by 30%, inventory costs dropped by 20%, and customer satisfaction improved. The retailer can now make data-driven inventory decisions.