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Loss Prevention · All retail

POS Exception Sweep

Voids and refunds clustering on a register or operator.

Target KPI Shrink
Executes in ≤ 24 hours
System of record POS · LP analytics
Run this on your data → How the loop closes
Trigger condition

Void, no-sale or manual price-override rate for an operator or lane exceeds the peer-group distribution by more than 3 standard deviations over a two-week window.

Write-back

Exception review case opened in LP analytics with the transaction set attached; lane or operator flagged for observation.

Every write is gated on an approver role you name. Nothing runs unattended.

Procedure
  1. Build the peer distribution from operators on comparable lanes, shifts and volumes, not the store average.
  2. Rule out the innocent explanations first: a training lane, a broken scanner, a mispriced promotion.
  3. Where the pattern survives, assemble the transaction set with timestamps and basket context.
  4. Route to the LP manager as a review, explicitly not an accusation, because the false-positive cost here is a person.
  5. Close when the pattern normalises after coaching, a fix, or a substantiated case.
Outcome metric

Exception rate against the peer distribution over 30 days, and the recovered value where a cause was substantiated.

The case closes on this number, not on the action being taken. A playbook without a close condition is a dashboard.

The rest of Loss Prevention

Shrink Investigation Shrink above baseline. Attributes dock, floor, or admin and opens the case. Shrink % Receiving Dock Audit Dock-receipt mismatches recurring. Flags the vendor and deliveries to audit. Shrink Refund-Fraud Pattern Refund behavior outside the norm. Builds the case with the timing. Shrink Sweethearting Detection Discount and void patterns suggest sweethearting. Correlates operator and lane. Shrink

All 43 playbooks →

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Pick three playbooks from the catalog. We wire them against your system of record for the pilot.

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