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Lesson

Your project plan

Model demand, separate the causal response, and optimise within supported limits.

1 min readApplied extensionUpdated
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Use the splitting and API habits from Chapter 3 and the serving and monitoring habits from Chapter 6. Real pricing experiments, approvals and waiting for returns take extra calendar time.

Read the causal primer first. The schedule assumes prepared opportunity data, your earlier environment and an existing API boundary. Rebuilding data from scratch or a new serving integration needs extra setup time. Finish the approved fixed-price baseline, supported demand comparison and constrained grid before the optional 2026 research extensions.

TimeFocusBuildDone when
3 hoursDecision and dataPrice unit, horizon, cost definition, exposure and inventory checksA data contract distinguishes zero demand, no exposure and stockout
5 hoursBaselinesCurrent-price policy, seasonal demand baseline, log-price GLMRolling validation and elasticity assumptions are documented
4 hoursChallenger and uncertaintyOne boosted demand model; demand calibration and intervalsAccuracy and calibration compared by SKU, price and period
4 hoursRecommendationEnumerate an approved price grid; enforce constraints and fallbackUnsupported prices and unsafe inputs cannot become recommendations
4 hoursServe and evaluateRecommendation API, decision log, simulated experimentRequest can be replayed and matched to a matured outcome
5 hoursBuffer and write-upFailure exercise, experiment memo, model and policy cardsClaims clearly distinguish simulation, prediction and causal evidence

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