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
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.
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.
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.
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.
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.
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.