AI-Powered Demand Forecasting for Omnichannel Retail

For a national Australian retailer, we implemented a demand forecasting system that accounts for seasonality, promotions, weather patterns, and competitor pricing. The model improved inventory accuracy by 35%, reduced overstock waste by $4.2M annually, and enabled dynamic pricing strategies that increased margins by 8%.