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Solutions · Enterprise · Retail

Simulate every shopper before the next launch reaches them.

Moveo One models how customers browse, hesitate and buy across app and web, predicts purchase and lapse per customer, and simulates launches, pricing and journey changes on calibrated cohorts before rollout.

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Moveo One · Retaillive
  1. ModelHow each shopper segment moves through the store
  2. PredictWhich carts will reach checkout, from add-to-cart
  3. ActAn offer only where it changes the outcome
  4. SimulateA rebuilt category page, run by 100 synthetic shoppers

The problem

A new collection page, a loyalty mechanic, a checkout redesign or a price change reaches millions of customers at once. It is tested on a slice of traffic over weeks, or not at all, and measured after revenue has already moved.

What Moveo One models

  1. 01Purchase intent per session, from the first interactions
  2. 02Lapse and churn risk across loyalty members
  3. 03Hesitation and friction in product, cart and checkout flows
  4. 04How each customer cohort responds to price, offer and assortment changes
Examples

What gets simulated, predicted and acted on.

Simulate

Run a redesigned checkout against high-intent and exploratory cohorts before it ships.

Simulate

Test how a new collection page changes discovery for returning versus first-time customers.

Predict

Identify loyalty members about to lapse, with the behavioral reason behind each score.

Act

Serve a dynamic offer only to carts predicted not to convert.

Evidence

From production and simulation runs.

Measured on held-out data and real simulation runs. The numbers are not rounded up.

Fashion e-commerce · in production

97.3%

Precision on carts flagged as unlikely to check out

Scored at the moment a product goes into the cart, on 2,630 held-out sessions. Flagged carts got a dynamic offer; the rest were left alone, so only 1.2% of sessions received an offer they did not need.

83.0% accuracy · 2,630 held-out sessions

Simulation · rebuilt retail category page

82 completed18 did not, and said why

Real products, prices, sizes and reviews; only the shoppers were simulated. The value was not the 82 who bought. The 18 who did not converged on one missing thing, and the page was changed before anyone shipped it.

100 synthetic shoppers · both versions, same population

Deployment

Deployed where your security team needs it.

Security & trust →

Managed cloud

EU or US region of your choice, operated by us.

Dedicated environment

Single-tenant infrastructure isolated from other customers.

On-premise

Inside your own cloud account or data center. Data never leaves your perimeter.

Data residency · SSO and MFA · DPA and security pack · dedicated modeling support · SOC 2 Type II and ISO 27001 in progress

Use cases for Retail

Worked examples from the use-case library.

Open in the use-case library →
E-commerce surface: detecting checkout hesitation →How to test a feature before launching →Synthetic users, calibrated to real cohorts →

Brief us on your retail roadmap.

A 30-minute briefing: what Moveo One would model for your customers, the deployment option that fits your security review, and the first simulation worth running.

Request a briefingStart building