AI Retail Demand Forecasting
AI Retail Demand Forecasting uses machine learning and advanced statistical models to predict product-level demand across channels, seasons, and promotions. It supports inventory optimization, supply chain planning, and pricing decisions, reducing stockouts and overstock while improving margins and service levels. Retailers gain more accurate, granular forecasts that directly enhance revenue and working-capital efficiency.
The Problem
“You’re forecasting demand with spreadsheets while stockouts and overstocks drain margin”
Organizations face these key challenges:
Forecasts break during promos/seasonality, so replenishment arrives late or in the wrong locations
Planners spend days merging POS, ecomm, and inventory data instead of managing exceptions
New product and assortment changes force guesswork; overrides create inconsistent results by category/team
Inventory is misallocated across stores/DCs, causing simultaneous overstock in some nodes and stockouts in others