Retail Demand Forecast AI

A machine learning forecasting engine that predicts SKU-level demand using seasonality, promotions, and historical sales trends.

Improved monthly procurement planning accuracy by 34% and reduced overstock waste by 22%.

Project Overview

This forecasting system enables retailers to predict future demand at SKU and store level. It incorporates seasonal patterns, promotional effects, and historical sales variance to optimize procurement planning. The system provides explainable outputs to help business teams trust model recommendations.

Key Features

• SKU-level demand forecasting by date range
• Promotion and seasonal trend modeling
• Store-wise procurement planning suggestions
• Forecast vs actual comparison dashboard
• Explainable model reasoning summaries

USP

Delivers transparent, business-readable forecasts instead of black-box predictions.

Tech Stack