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Research topic

Measurement and forecasting

How to measure, compare and forecast commerce across regions, and turn the numbers into governed decisions.

Each paper states its method, puts its evidence in captioned tables and ends with its limitations.

Papers

  1. Design paper16 references

    An analytics-to-action pipeline: from event telemetry to governed decisions

    We describe a design that turns commerce event telemetry into governed decisions, using causal estimation, constrained bandits and staged rollout.

  2. Design paper15 references

    Behavioural cohorts for customer lifetime value prediction: a design

    We describe a design that predicts customer lifetime value from behavioural cohorts, probabilistic purchase models and survival models.

  3. Design paper13 references

    Real-time analytics for high-velocity commerce: an event-time streaming design

    We describe a streaming analytics design for commerce surges: event-time windows, online change detection, latency budgets and overload handling.

  4. Design paper13 references

    Demand forecasting under high volatility: a design for multi-region commerce

    We propose a forecasting design for volatile commerce demand: probabilistic global models, event covariates, reconciled hierarchies and quantile outputs.

  5. Design paper14 references

    Causal inference for commerce decisions: a design for treatment-effect estimation

    We describe a design for estimating the causal effect of commerce interventions, from potential outcomes to heterogeneous effects and staged experiments.

  6. Design paper11 references

    A unified metrics framework for comparing commerce performance across regions

    We propose a layered framework that makes commerce KPIs comparable across currencies, funnels and regions, argued from published measurement work.