AI-Powered Demand Forecasting
Machine learning platform that predicts product demand across regions and channels, reducing stockouts and excess inventory for a leading consumer goods manufacturer.
~88%
Forecast Accuracy
SKU-level prediction precision
~42%
Stockout Reduction
Fewer out-of-stock incidents
~-30%
Excess Inventory
Lower carrying costs
~-50%
Planning Cycle Time
Faster replenishment decisions
Volatile Demand Patterns
Seasonal promotions, regional preferences, and shifting consumer behavior made traditional forecasting unreliable. The company struggled with frequent stockouts on high-demand SKUs and costly overstock on slow-moving products, impacting both revenue and working capital.
Intelligent Demand Planning Platform
We built an AI-driven demand forecasting system that ingests sales history, promotional calendars, weather data, and market trends. The platform generates SKU-level forecasts by region and channel, integrates with ERP planning workflows, and refreshes predictions daily for agile replenishment decisions.
Inventory & Revenue Optimization
The forecasting platform improved planning accuracy across the distribution network, enabling better shelf availability while freeing capital tied up in excess inventory.