Separate GMV, net sales, and net profit

Order value measures demand but not what the business retains. Refunds, platform charges, two-way freight, and inventory loss arrive later.

Show order-time performance beside mature net economics instead of judging new orders as final profit.

Connect service events at order-line grain

An order can have partial returns, exchanges, and several refunds. Use order line, item, quantity, amount, and event time.

Allocate whole-order discounts once through a governed method rather than subtracting them from every line.

Recent sales have not completed their return window. Compare receipt cohorts at aligned 7-, 15-, or 30-day maturity.

Platforms and categories may need different windows based on policy and observed timing.

Segment by item, size, supplier, channel, campaign, and reason while retaining sample size, margin, and loss.

Reason codes and free text require validation; association does not prove product quality caused the return.

Reconcile partial returns, exchanges, multiple refunds, rejected delivery, vouchers, cross-month events, and damaged stock line by line.

BI0 can be evaluated for ecommerce data preparation and analysis; service connectors, allocation, and loss rules require confirmation.

Talk through a real business scenario and see how governed AI BI can fit your team.