We tell you which locations will succeed

Score every candidate site on a clear GO / BORDERLINE / NO GO basis — built from your own store history, with revenue estimates and reasoning your team can act on.

Site Selection & Expansion Scoring hero visual

What's included

Three-Layer Scoring Model

Success probability, revenue estimate, and rent viability combined into one authoritative recommendation for every candidate site.

Built From Your Own Store History

Models trained on your existing outlets and their real performance, not a generic industry template.

City-Specific Calibration

Every market gets its own calibration — what works in one city often fails in another for entirely different reasons.

Revenue & Rent Viability

Predicted monthly revenue and rent-ratio analysis, so a site's business case is clear before you negotiate lease terms.

Field-Ready Guidance

Plain-language reasoning and a specific checklist your real estate team can use on the ground.

Interactive Maps for Every Engagement

Every recommendation is visualized on an interactive map your team can explore, not just a spreadsheet.

Use cases

Scoring 23 Candidate Sites Across 4 States

For a pan-India retail chain's next expansion round, we scored every candidate site on spatial character, predicted revenue, and rent viability — replacing a process that had relied on individual judgment calls with a consistent, repeatable framework.

Catching the Site Everyone Would Have Rejected

One proposed location scored strongest in its entire batch on physical and locational character, but was initially flagged borderline on revenue alone. We flagged it for a field visit instead of an automatic rejection — the kind of judgment a pure spreadsheet score misses.

Tell us the location question you're trying to answer

We'll tell you what the data can say about it — and whether we're the right fit.