Retail

The shelf, the buy and the conversation.

Store operations, merchandising and supply chain, reading from one data layer.

In the store

From cameras you already own

  • Shelf gaps and planogram compliance
  • Queue length and staffing triggers
  • Footfall and dwell, bay by bay — the conversion denominator
  • A compliance score, store by store
Store Vision
Behind the buy

Before the PO, not after it

  • SKU demand across stores, own site and marketplaces
  • Allocation by channel, rolled up to the SKU that gets bought
  • Stockout risk and slow movers, four weeks out
Demand & Allocation
Around the customer

Every conversation, not a sample

  • Calls, chats, reviews and returns in one taxonomy
  • Complaint drivers rolled up to the SKU
  • Margin and sell-through questions asked in plain language
Voice of Customer · Ask Your Data

Start with one use case

Fixed price, five days. By day five you have a working prototype on your own data and a costed build roadmap — yours to keep either way.

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