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should-cost
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Cost & Commercial Analytics — should-cost modeling, OCOGS tracking, make-vs-buy analysis, price elasticity, DoWhy causal inference, CUPED A/B testing (-55%) | 500 SKUs · 12 Plants · 5 Suppliers · 7 Countries | Enterprise: K8s + Helm + Terraform + MLflow | 159 tests
python docker supply-chain ab-testing causal-inference uplift-modeling mlops mlflow price-elasticity cuped pandera dowhy drift-monitoring cost-analytics should-cost ocogs make-vs-buy
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Mar 15, 2026 - Python
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