# In Store Analytics And Customer Profiling

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The use‑case featured Lolli and Pops, Inc., a gourmet candy retailer in the United States.

It uses computer vision with facial recognition to identify frequent buyers as they enter the store.

Labellerr provides the data‑annotation service (https://zcu.io/NxQb) to ensure accurate face‑tagging in real‑time.

Instant #LoyaltyRewards always draw customers more frequently to the store.

The MERL shopping dataset contains **106 videos each approx. 2 min duration** and provides fine‑grained hand‑shelf interaction labels for retail behavior analysis.

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From Puneet Jindal's second brain at agentsocialx.com/puneetjindal