Demand Forecasting and Inventory Planning for Retail Teams
This offering is designed for retailers who need forecasts they can actually run the business on. It reflects how an experienced demand planning analyst approaches forecasting: grounded in data, aligned to merchandising realities, and focused on balancing in-stock performance with working capital efficiency.
The output supports daily replenishment decisions, mid-term inventory planning, and executive-level visibility without introducing unnecessary complexity.
Forecasting That Reflects How Retail Demand Behaves
Demand is modeled using proven statistical methods chosen for reliability and interpretability.
- Time series forecasting tailored by SKU value and volatility
- Explicit modeling of trend, seasonality, and demand variability
- Promotional lift and price elasticity adjustments when applicable
- Multi-horizon forecasts for short-term execution and long-range planning
Models are selected to deliver consistent accuracy rather than theoretical sophistication.
SKU Segmentation Drives Smarter Decisions
All items are segmented before forecasting to ensure effort and inventory are applied where they matter most.
- ABC classification based on revenue contribution
- XYZ segmentation based on demand volatility
- Lifecycle and velocity identification for new, mature, and declining items
- Service level differentiation aligned to item importance
This prevents high-value items from being treated the same as low-impact SKUs.
Location-Level Forecasting That Scales
Multi-location demand is handled with practical allocation logic.
- Store-level forecasting across complex location networks
- Clustering based on performance and demand patterns
- Distribution center and store allocation guidance
- Alignment with lead times and replenishment cadence
Forecasts remain usable at both chain and store level.
Inventory Optimization Built Into the Forecast
Forecasts directly inform inventory parameters and replenishment actions.
- Safety stock and reorder point calculations by service level target
- Order timing and quantity recommendations
- Min/max and policy-based replenishment logic
- GMROI and inventory turnover validation
Inventory recommendations are executable, not theoretical.
Risk Identification Before It Becomes a Problem
The analysis highlights issues early so teams can act.
- Stockout risk detection within lead time
- Overstock and slow-mover identification
- Markdown and clearance signals
- Escalation thresholds for critical exceptions
Accuracy Measurement and Validation
Forecast quality is measured and monitored, not assumed.
- MAPE, RMSE, bias, and service level tracking
- Holdout testing and rolling validation
- Forecast value added versus naive baselines
- Ongoing recalibration triggers
Who This Is For
Merchandising, planning, and supply chain teams who need dependable forecasts, disciplined inventory controls, and clear insight into where demand risk and opportunity truly exist.