Retail analytics

How it works

Retail analytics connects POS, camera evidence and consented service conversations. Improve conversion rate, staffing and campaign execution, then verify results across comparable stores and trading periods.

How it works

One operating question. A complete path to action.

Fortune AI matches records with physical evidence and proposes an improvement. Your team approves the action and assigns its owner before the next comparable operation.

Retail analytics: First operation → Later team review → Next comparable operation
Illustrative application · Original AI-generated visual
  1. 01

    First operation

    POS shows the sale; service and display evidence explain the execution. Turn recurring gaps into approved coaching, campaign tasks and staffing changes.

  2. 02

    Later team review

    Store manager · adjust service coverage, assign campaign corrections and approve coaching

  3. 03

    Next comparable operation

    Verify conversion, service follow-up and campaign execution across comparable stores.

Connected workflow

From source records to an accountable next move.

  1. Business records

    POS transactions, campaign plans, staffing schedules and consented service summaries

  2. Physical evidence

    entrances, display visits, queues and service coverage in the same trading period

  3. Review the AI recommendation

    Store manager · adjust service coverage, assign campaign corrections and approve coaching

  4. Verify the outcome

    Foot traffic and POS conversion by store and period

Fortune AI

Bring one operating question.

See your records, the relevant scene and an accountable next action in one review.

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