The AI that picks the right store location for you
Foot traffic, competitors, demographics, ROI — analyzed in 60 seconds for any address worldwide. From $99.
Store location AI is artificial-intelligence software that recommends the optimal physical address for a new retail store, restaurant, gym, salon or service location. It quantifies the same factors a senior site-selection consultant would evaluate — foot traffic, competitors, demographics, rent and accessibility — and produces a clear go/no-go score in seconds.
WhereToOpen.ai is the AI store location platform built for SMBs: $99 per report, no contract, 60-second results, 30+ countries. Used by independent operators, franchisees and small chains opening their next location.
From address to decision in 60 seconds
What our AI actually looks at
Most ‘AI tools' are wrappers around a single data source. WhereToOpen.ai combines six independent layers and weights them per business type.
AI vs human broker vs DIY spreadsheet
You have three realistic options for picking a retail location. Here's how they compare on the dimensions that matter when you're actually about to sign a lease.
| Dimension | Store Location AI | Human broker / consultant | DIY spreadsheet |
|---|---|---|---|
| Time per address | ~60 seconds | 2–8 weeks | 15–30 hours |
| Cost per address | $79–$99 | $3,000–$20,000 | Your time |
| Data sources | 6 layers, live | Variable, often dated | Whatever you find on Google |
| Bias | Math-driven | Often commission-incentivized | Confirmation bias |
| Repeatable for next lease | Yes | Re-engage and re-pay | Re-do the work |
Walkthrough: choosing between 3 coffee shop addresses
An independent operator wants to open a specialty coffee shop in a mid-sized European city. They shortlist three candidate addresses on the same neighborhood: a corner unit, a mid-block unit and a side-street unit. They run all three through Store Location AI in under 5 minutes.
Corner unit (€4,500/mo): Opportunity Score 78 — high foot traffic, but rent-to-revenue projects at 14% with a moderate competitor saturation flag. Verdict: wait, negotiate.
Mid-block unit (€3,200/mo): Opportunity Score 84 — 80% of the foot traffic at 71% of the rent, healthy 9% rent-to-revenue, low direct competitor density. Verdict: go.
Side-street unit (€2,100/mo): Opportunity Score 52 — cheap rent but low passing flow and weak demographic match for specialty coffee. Verdict: skip.
Total time: 5 minutes and $99 (the operator unlocked the highest-scoring report only). Total cost avoided by not picking the corner unit: ~€15,000 in over-rent over the first year.
Accuracy & limitations
We optimize for honesty over hype. Here's what AI does well and where it doesn't replace human judgment.
- Quantifying foot traffic, competitor density and demographic fit
- Producing repeatable, bias-free comparison across candidate sites
- Surfacing risk flags (rent ratio, saturation, declining trends)
- Generating a defensible written rationale for landlords/lenders
- Walking the street at 8pm on a Saturday to feel the energy
- Reading the landlord across the negotiation table
- Spotting build-out issues a Google Street View can't show
- Judging the brand fit between your concept and the neighborhood
Try it on your address — free
Run a free Location Health Score on any address worldwide and see what AI store location looks like.
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