Price optimisation for retail paint SKUs using OLS elasticity, XGBoost demand modelling, quasi-experiment, and A/B test design. Identifies +$1.83M–$5.02M annual gross margin opportunity across a 30-store chain.
python econometrics xgboost ab-testing ols causal-inference demand-forecasting price-elasticity retail-analytics pricing-optimization cannibalization
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Updated
May 2, 2026 - Jupyter Notebook