What problem does it solve? Founders and operators struggle to design logistics networks that balance service levels, landed cost, and resilience without deep supply chain expertise. This Skill turns founder intent into an evidence-backed network design decision with quantified tradeoffs. ## Core Features & Use Cases - Network Scenario Modeling: Map demand and origins, calculate landed cost, model service and capacity, and compare network scenarios against hard constraints. - Disruption Testing: Stress-test network designs against downside scenarios and quantify expected downside loss and resilience. - Decision Governance: Produce decision records, phased transition plans, KPIs (landed cost, OTIF, transit variability, network resilience), and escalation rules with human approval gates. - Use Case: A founder asks whether to add a second distribution center. The Skill loads company context, compares at least three feasible network options against the counterfactual, and recommends the highest confidence-weighted option within cash and risk limits. ## Quick Start Use logistics network design to evaluate whether adding a regional warehouse lowers our landed cost while keeping on-time-in-full above target.
