Loss Prevention Analytics (LPA) component integrated with POSDM works based on patterns. These patterns represent a specific type of behavior, and they are used to detect suspicious activities at a POS counter. Here, I have tried to give one liner explanation for the available standard LPA patterns. This can be used as entry guide/reference and start building the patterns based on the requirement. This is also available in Customer Activity Repository (CAR).
Basic – Capture sales based on transaction types (Ex: Report based on Transaction type, Means of payment and corresponding Reason codes)
Discount – Exceptions in discount amount/percentage (Ex: Discount more than XX% by a cashier)
Item Scan Rate – Items scanned per specific transaction type (Ex: Specific item count per minute statistics or Specific items count per Transaction type)
Late Transaction – Pick late void/returns after the original transaction
Off-Hour – Capture sales beyond store open/close time
Refund After Days – Capture refund made after defined days
Refund Matching Post Void – Capture refund made for post void transaction
Before/After – Capture exceptions based on timely relationship between two specific transactions
Refund Without Purchase – Capture refund where no purchase exists in past <N> days
Repeat ESP – Capture consecutive ESP item sales
Same Card Used – Capture specific authorization ID card used repeatedly by cashier
Transaction Header – All transactions by specific cashiers
Tender Information – Capture payment greater than <XXX> for a specific tender type
Insufficient Information – Capture incomplete transactions (Ex: If Cashier failed to capture complete customer information for the sales which requires)
First/Last Hour – Capture non busy hour transactions
Refund Duplicate Return – Fraudulent refund made by cashier
Transaction Line Item – Specific type of discount given for an item priced less than defined amount
Orphaned Transaction – Specific transactions took more than certain time limit
Post Void with Different Cashier – Post void transactions on a same day with mismatch in cashier details
SKU Matching Amount – Capture specific products with discounts greater than certain amount
Gap in Item Scan Rate – Capture if specific time difference between item scan rate within same transaction
Happy Learning!
Thanks,
Venkatesan