// product · v.2026
Retail decision intelligence Availability varies by product

Role in Valnative AI OS for Retail

Rehearse customer response

This is one component of the platform. A working product does not establish that every cross-product handoff or retailer integration is available.

Inputs and outputs

Inputs: Customer-response assumptions, scenarios and simulation inputs.

Outputs: Simulated responses for decision rehearsal, not observed customer outcomes.

Problem & who it’s for

Every pricing, assortment and campaign decision is an experiment on live customers. A/B tests are slow and narrow; gut calls are fast and wrong.

Offer & core workflow

CustomerDigitalTwin builds segment-level customer twins grounded in survey-based scoring and causal incrementality methods, so teams can simulate the likely response to a decision before it ships.

What exists now

  • Survey scoring (SSR), difference-in-differences analysis and segment-level twins.
  • Investor deck prepared.

Next milestones

  • Validate simulated responses against live decision outcomes.
  • Connect response simulation to SHEPORD decision rehearsal through a versioned contract.

Connections in the platform

Directional value exchanges with explicit implementation status, separating current capability from the roadmap.

Talk to us about CustomerDigitalTwin.

Bring the workflow, data and systems you have in mind. We can discuss current availability, an appropriate demonstration and the work needed to assess a fit.

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