Case Study - Ecommerce demand forecasting with AI ad recommendations
Built a forecasting and ad suggestion engine that helps commerce teams plan inventory and optimize category-level promotions.
- Year
- Service
- Forecasting intelligence and ad optimization
Overview
An ecommerce operations team needed a unified way to connect demand prediction with category-level ad planning.
We developed an AI forecasting engine with recommendation outputs for promotion timing and category allocation. The product surfaces rationale alongside each suggestion so teams can validate decisions quickly.
This aligned merchandising and growth functions around a shared intelligence layer.
What we did
- Demand forecasting models
- Category-level recommendation engine
- Campaign planning support
- Decision traceability
Forecasting and ad guidance in one system gave our operators a clear signal on what to promote and when.
- Demand planning mode
- Predictive
- Ad recommendation scope
- Category-aware
- Decision workflow
- Operator-guided
- Planning stack
- Unified