Multi-Echelon Inventory Buffers for Disruption Readiness
N.B. Exclude promotional periods or isolate them as a separate cohort. Ensure comparable channel mix; if not, provide a channel-adjusted benchmark view. Confirm net-to-gross rules (rebates, freight, taxes) match industry definitions.
📄 Prompt Template
Design a multi-echelon safety stock strategy to protect a [SKUCount]-SKU portfolio for [ProductFamily] while meeting [ServiceLevelTarget] under disruption. Incorporate upstream lead-time variability (±[LeadTimeVariancePct]%), DC/FC constraints, and transportation uncertainty. Recommend decoupling points and postponement where viable; quantify working capital vs resilience trade-offs within a [BudgetCap] cap.
Output format: (1) “MEIO_Recommendation” markdown table with columns: Node (Plant/DC/FC); SKU Family; Cycle SS; Safety SS; Target Service (%); Avg Lead Time (days); Buffer Days; Capital (₹/$/€); Expected Stockout Reduction (%). (2) “Parameter_Summary” JSON with keys: demand_variability, supply_variability, service_targets, budget_cap, postponement_candidates, review_cycle_days. (3) A brief playbook for buffer activation during disruption (bullet list).