Retail demand forecasting helps retailers predict future product demand across stores, channels, and time periods to improve inventory, replenishment, pricing, and margin decisions. By combining historical sales with mobility, visit intelligence, POI, and audience data, retailers can detect demand shifts earlier, improve forecast accuracy, and allocate inventory more precisely.
