Product 02 · LiveExpand

Spot-On

Site selection and location ROI, forecast from your own operating data.

SPOT-ON site map with scored locations and a recommendation dashboard
Your sitesAre the training data
BeforeThe lease is signed
Built inCannibalisation check
Problem 02

New store locations are a gamble.

Site selection forecast from your own estate. Here is what changes when SPOT-ON is in place.

The problem

Expansion is decided on a broker’s deck, a demographic report and somebody’s instinct about the corner. The first honest read on whether it works arrives eighteen months after the lease is signed.

Where AI adds the value

A generic catchment model knows the neighbourhood. It doesn’t know you. SPOT-ON learns how your existing sites actually trade — format, daypart mix, staffing, cannibalisation — and forecasts the new location against that, not against a national average.

How it works

Four steps, one brain.

Every step runs on GENIUX, so SPOT-ON uses your data, your definitions and your permissions from day one.

  1. 01

    Learn the estate

    SPOT-ON studies how your existing sites really trade: format, daypart mix, staffing and the customers they share.

  2. 02

    Score candidates

    Every candidate location is scored against your own patterns — including what it would take from the sites you already have.

  3. 03

    Forecast

    Each option gets a revenue and ROI forecast you can test before anyone signs anything.

  4. 04

    Recommend

    A ranked shortlist with the reasons behind it, so expansion is decided on evidence, not on a deck.

Next step

Put Spot-On to work.

Every engagement starts with a short Labs workshop: we confirm the decision SPOT-ON should improve, the data it needs and the number it will be measured against.