Consumer Demand Forecast Optimization
This AI solution uses advanced forecasting models, deep learning, and market-signal analysis to refine and continuously adjust demand forecasts for consumer and CPG products. By tailoring predictions to specific brands, product lines, and markets, it improves forecast accuracy, supports smarter market expansion decisions, and synchronizes supply chains with real demand to boost revenue and reduce stockouts and excess inventory.
The Problem
“Continuously optimized SKU-level demand forecasts using multi-signal ML”
Organizations face these key challenges:
Forecasts are consistently wrong during promotions, holidays, launches, or price changes
Stockouts for fast movers while slow movers accumulate excess inventory
Planning teams spend days reconciling spreadsheets across regions, channels, and SKUs
Market expansion and assortment decisions rely on lagging or overly aggregated data