Retail Readiness Simulation · MBCC Retail AI Playbook

Inputs · Your client’s reality

Baseline and AI uplift assumptions

Avg daily foot traffic per store (e.g., 2,000) Conversion rate (%) (e.g., 18%) Average order value ($) (e.g., 45) Stores in pilot (e.g., 10) AI traffic uplift (%) (computer vision, better staffing) AI conversion uplift (%) (recommendations, better offers) AI AOV uplift (%) (bundling, cross-sell) One-time project + platform cost ($) (for pilot)

Outputs · Money story

Revenue lift & payback period

Baseline annual revenue (pilot)

AI scenario annual revenue

Annual revenue lift

Monthly revenue lift

Payback period (months)

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Year 1 ROI (lift ÷ cost)

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Use this live with the client. Change one assumption at a time until they say “that feels realistic for our business” – then you have a shared money model.

Next step: move to the Retail Proposal Generator and capture the story.