inventory-demand-planning

Safety stock calculation for multi-location networks factors in supplier lead-time changes and ABC/XYZ classification to determine optimal buffer levels. This approach prevents stockouts across distributed DCs and stores while maintaining efficient inventory position tracking.

Forecasting methods for seasonal and promotional SKUs are selected via ABC/XYZ profiling to match demand patterns like intermittent or stable sales. The process incorporates promotional lift estimation and post-promo dip analysis to align forecasts with practical replenishment planning.

Reorder logic optimization across hundreds of SKUs and DCs uses scenario-based analysis and dynamic replenishment planning. It tracks inventory positions and automates replenishment policies based on ABC/XYZ classification to effectively reduce excess inventory.

Promotional planning includes estimating promotional lift and post-promo dips to provide actionable markdown guidance. This ensures demand forecasts account for promotional spikes and subsequent sales drops, aligning inventory with actual consumer demand patterns.

ABC/XYZ classification automates replenishment policies by categorizing SKUs based on value and demand variability, including intermittent patterns. This enables tailored forecasting methods and dynamic safety stock calculations for each specific demand profile.