What problem does it solve? Founders and operators struggle to set inventory policies that balance service levels against cash constraints, often relying on generic benchmarks that ignore demand variability, lead times, and business context. This Skill produces evidence-backed replenishment, safety stock, reorder point, service target, and obsolescence policies tailored to the company's industry, stage, and risk tolerance. ## Core Features & Use Cases - Segmented Policy Design: Classifies items by economic and risk segment, then calculates safety stock and reorder points from demand and lead-time variability. - Constraint-Aware Decision Rules: Rejects or escalates options that breach hard constraints, and quantifies risk-adjusted value with confidence weighting for every recommendation. - Monitoring & Learning Loop: Defines fill rate, stockouts, turns, and aged inventory KPIs with stop, scale, and escalation conditions tied to review cadences. - Use Case: A founder asks how to reduce stockouts without tying up more cash. The Skill segments the catalog, estimates demand and lead-time variability, simulates options in the Business Digital Twin, and recommends a service-target and safety-stock policy with owners, approvals, and monitoring thresholds. ## Quick Start Use the inventory-policy skill to set safety stock and reorder policies for our product catalog within our current cash and risk limits.
