Retailers can accurately predict consumer demand with unified demand forecast. By leveraging master data—such as products and locations—and transaction data, the feature analyzes historical sales patterns to create a precise demand model. The system then factors in future demand-influencing factors (DIFs), such as promotions, assortment changes, and store openings or closings, to generate reliable forecasts.

Benefits

• Gain insights into future consumer behavior for better demand forecasting
• Use predictive analytics to improve product planning and replenishment
• Increase product availability while reducing waste for greater sustainability
• Enable proactive decision-making and optimized inventory management
• Respond to market shifts with confidence and agility