Use case · Anti-counterfeit
Catch copied-code patterns before they become a reputation problem.
Pearpin helps brand-protection teams detect suspicious scan clusters early, investigate the right regions and escalate safely — without false-positive theater that hurts genuine customers.
What happens today
- Counterfeiters photocopy real printed codes and stick them on fakes.
- Brands hear about copies weeks later, in marketplace complaint threads.
- Heuristics from QR vendors trip false positives that hurt loyal consumers.
- Investigation flows live in spreadsheets — no audit trail, no escalation.
How Pearpin handles it
- Every scan becomes a structured event with location, time, channel and code state.
- Named signals — geo-impossible, scan-velocity, code-state-mismatch, batch-outlier, channel-anomaly, first-scan-late — flag patterns rather than single events.
- Risk score is per-unit, per-event and explainable. Brands tune thresholds per category, region and batch.
- 5-tier escalation ladder routes scans from Normal → Watch → Suspicious → High-risk → Brand review with a clear handoff to inspector workflow.
Named signals
The signals you can act on.
Signal names are stable and documented — every alert links back to one of these primitives.
geo-impossiblescan-velocitycode-state-mismatchbatch-outlierchannel-anomalyfirst-scan-late
Outcomes
What this changes for the brand.
Counterfeit complaints surface in days, not weeks.
False-positive rate is tunable — silent watch tier collects evidence without consumer-facing noise.
Inspector workflow gives brand-protection teams a real audit trail.
Keep reading
Related use cases.
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