Demand Forecasting Playbook
Our approach to implementing ML-powered demand forecasting for retail inventory optimization.
Note: This is an illustrative playbook demonstrating our delivery approach. Outcomes shown are representative targets based on industry benchmarks. Actual results vary by retailer, data quality, and implementation scope.
The Challenge
Retail organizations often face a dual inventory problem: excess inventory tying up capital and empty shelves losing sales. Common causes include:
- Legacy forecasting using simple moving averages
- Inability to account for seasonal patterns beyond basic holidays
- No consideration of local events or weather impacts
- Promotional cannibalization effects ignored
Our Approach
We build ML-powered demand forecasting systems that predict at the store-SKU-day level.
Phase 1: Feature Engineering
Great forecasts require great features. We typically incorporate:
- Historical sales by store and product (2-3+ years)
- Weather forecasts by store location
- Local event calendars
- Promotional calendars and historical lift patterns
- Competitor pricing (where available)
- Economic indicators
Phase 2: Model Architecture
Rather than one monolithic model, we build ensembles:
- Gradient boosting for stable products
- Deep learning for products with complex seasonality
- Separate models for new product launches
- Automatic model selection based on product characteristics
Phase 3: Integration
Predictions flow directly into:
- Automatic replenishment orders
- Store allocation optimization
- Markdown timing recommendations
- Promotional planning tools
Target Outcomes
Based on industry benchmarks and similar implementations:
- 25-35% typical reduction in overstock inventory
- 30-40% typical reduction in stockout incidents
- 10-20% improvement in inventory turns
- Significant working capital freed up
Beyond Forecasting
The biggest impact often comes from changing how merchandising teams work. Instead of spending days building Excel forecasts, teams can focus on strategic decisions:
- Which new products to test
- How to allocate promotional budgets
- Which stores need special attention
Ready to optimize your inventory operations? Contact us to explore the possibilities.