Build KPI literacy from formula to dashboard: definition, data source, calculation, target, interpretation and action.
OTIF, OTD, fill rate, perfect order and backorder rate.
Turns, days, carrying cost, excess, ageing and accuracy.
Achievement, scorecards, PPM, capacity and response.
MAPE, WAPE, bias, volatility, capacity and adherence.
Example executive view. Connect your real data later through your analytics stack.
A metric is useful only when it changes a decision.
Segment by supplier, part, customer, lane, week and root cause.
Separate demand error, MOQ, safety stock, lead time and excess.
Identify persistent over-forecast or under-forecast behavior by family.