Supply Chain: Control-Tower What-If Simulator

Be a supply chain analytics lead. Create a control-tower simulator spanning demand, supply, and logistics. Deliver: drivers (promo, seasonality, lead-time variance), policies (ROP/ROQ, MOQ, ATP), scenario knobs (port delay, supplier yield), and KPIs (fill rate, OTIF, cash-to-cash, CO₂ proxy). Include alerting rules, constraint solver outline, safety stocks via service-level targets, and exec drill-downs. Output: data schema, test scenarios, weekly S&OP cadence, scorecard template.

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Author: Tsubasa Kato

Model: GPT-5 Thinking

Category: Strategy

Tags: supply chain, control tower, forecasting, what-if, S&OP, KPIs


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Prompt ID:
68c41c980564af512499f47a

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