Correlate point-of-sale, inventory-count, and incident data to separate likely administrative-error shrink from likely theft, and build a documented case file for your loss-prevention team instead of a raw alert queue.
Shrink keeps climbing and most teams cannot tell how much is theft versus receiving and count errors, so the fix never gets targeted.
Investigating every flagged incident by hand does not scale across hundreds of stores.
point-of-sale, inventory counts, and flagged incidents per store
Investigate and adjudicate
A correlated case file for a single store flags a pattern of voids and inventory variance the system classifies as likely organized retail crime, ready for an analyst's prosecution call.
Try it — same review surface your operators use, with a representative decision. Nothing here is saved or sent anywhere.
Investigating flagged incidents, deciding whether a case is worth prosecuting, and root-causing administrative-error shrink stay with your loss-prevention analysts and domain experts.
See this workflow against your own queue.
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