inventory-demand-planning

Demand planning for multi-location retailers is automated by running forecasting cycles across hundreds of SKUs using methods like SES, Holt-Winters, and Croston. The model processes your current SKU data to output replenishment plans and safety stock levels.

Safety stock calculation and replenishment planning are handled through scenario-based decision rules and seasonal forecasting methods. The system applies ABC/XYZ classification to guide stock policy and adjust for seasonal demand peaks across your product catalog.

Promotional lift estimation and new product launch planning are supported as core features. The model integrates promotional planning with demand forecasting to adjust inventory levels for expected sales spikes during marketing events.

Intermittent demand is addressed using the Croston forecasting method, while supplier lead-time changes are managed through dynamic reorder logic. These mechanisms ensure accurate inventory optimization even with variable supply chain conditions.

ABC/XYZ classification is implemented to categorize SKUs by value and demand variability, generating scenario-based decision rules. This classification output directly guides your stock policy by differentiating inventory management strategies across product tiers.