consumer goods & FMCG · delivered
Counterfeit detection — capture app
Structured field evidence for a counterfeit problem that previously had none.
- store-routed capture
- guided 7–8 step photo evidence
- feeds detection ML
The challenge
Counterfeit products were suspected in certain stores, with no structured way for field agents to capture product evidence usable by a detection model.
What we built
A capture app that routes field agents to suspected stores and guides them through a 7–8 step photo sequence of the product — images flow into the downstream counterfeit-detection ML pipeline.
The outcome
Every suspected store produces model-ready evidence, captured the same way every time.
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