Un logiciel de location intelligence pensé pour les opérateurs, pas pour les analystes
Transformez trafic piéton, démographie et données concurrentielles en une décision go/no-go claire — en 60 secondes, pour toute adresse dans le monde.
60-second insights
30+ countries
50+ data signals
Last updated · Reviewed by Nicholas Todeschini
Location intelligence software is a class of analytics tools that turns geospatial data — foot traffic, demographics, points of interest, competitor locations, mobility patterns — into business decisions. It powers site selection, trade-area analysis, expansion planning and location-based marketing for retailers, restaurants, real-estate developers and increasingly SMBs.
WhereToOpen.ai is an AI-native location intelligence platform built specifically for SMBs: same data quality as enterprise platforms (Placer.ai, ESRI Business Analyst, CARTO), priced per report instead of per annual contract, and delivered in 60 seconds without a GIS analyst.
How it works
The 5 data layers behind every decision
A location intelligence platform is only as good as the data it stitches together. WhereToOpen.ai blends five independent geospatial layers and weights them per business type, so a coffee shop and a gym never get the same answer for the same address.
Points of interest
Every relevant business within walking and driving distance — type, rating, price tier, reviews count. Sourced from Google Maps and enriched with OpenStreetMap.
Demographic profile
Age, income, household composition, education and unemployment within the trade area, sourced from national census and Eurostat-equivalent agencies.
Mobility & foot traffic
Daily, weekly and seasonal flow signals from Google Maps popular times, augmented with AI demand modeling per business format.
Real-estate signals
Public commercial-listing aggregation for benchmark rents and rent-to-revenue sustainability scoring per address.
Local context
Events, news, tourist flow and seasonal patterns that move the needle on weekly and monthly demand for your specific format.
Industry playbooks
5 use cases by industry
Location intelligence isn't a single product — it's a different question per industry. Here's how five verticals actually use it.
F&B (restaurants, bars, cafés)
Validate foot traffic by daypart (lunch vs dinner vs late night), benchmark menu pricing against competitor sentiment, and stress-test rent-to-revenue against weekly seasonality.
Retail & boutiques
Quantify pedestrian flow, identify complementary co-tenants on the same street, and assess tourist vs local share so you can plan inventory and staffing.
Fitness & wellness
Score residential proximity (5–10 min drive), parking availability, evening accessibility, and competitor coverage across the four-mile catchment.
Healthcare & pharmacies
Map aging-population density, nearest competing pharmacy, walking distance to public-transport stops and overall trade-area access.
Real-estate brokerage
Generate shareable Score Reports as a deal-level value-add when pitching units to retail or F&B operators — differentiates the broker, accelerates the close.
Comparison
Location intelligence vs GIS vs BI
These three categories overlap but answer different questions. Picking the wrong category is the most common mistake when buying location software.
| Aspect | Location Intelligence | GIS | Business Intelligence |
|---|---|---|---|
| Primary user | Operator / decision-maker | GIS analyst | Data analyst |
| Output | Decision recommendation | Custom map / dataset | Dashboard / KPI report |
| Skill required | None to low | Specialized training | SQL, modeling |
| Data scope | Geospatial + behavioral | Geospatial only | Internal operational |
| Example tools | WhereToOpen.ai, Placer.ai | ArcGIS, QGIS | Looker, Tableau |
Roadmap
How to roll out location intelligence in your business
You don't need a six-month project. Here's a 4-step roadmap that takes most operators from zero to first data-backed decision in a single afternoon.
1
Define the decision
Are you opening one store, comparing 3 candidate addresses, or planning a 10-location rollout? The decision shape determines the report depth you need.
2
Run a baseline
Generate a free Location Health Score on each candidate address. This takes 60 seconds per address and gives you a quick filter.
3
Deep-dive the shortlist
Run full reports on the top 2–3 candidates, compare opportunity scores, ROI projections and risk flags side by side.
4
Act on the data
Use the report PDF to negotiate the lease, brief your contractor, or present to a lender or investor. Most operators close the loop within 2 weeks of the first report.
Use cases
6 ways businesses use location intelligence
Site selection
Pick the optimal address for a new store, restaurant or service location.
Trade-area analysis
Understand who lives, works and passes through a specific catchment.
Customer profiling
Build personas based on the demographics actually visiting your location.
Expansion planning
Rank candidate cities and neighborhoods for multi-location growth.
Competitor mapping
Visualize and quantify competitive density across any geography.
Real-estate decisions
Compare lease economics across candidate addresses with rent-to-revenue scoring.
Data sources
What goes into a location intelligence report?
A credible location intelligence platform combines at least these six data layers — and grades each input for freshness and confidence.
| Layer | Source | Use |
|---|---|---|
| Foot traffic | Google Maps popular times, mobility panels | Demand estimation |
| Points of interest | Google Maps, OpenStreetMap | Competitor & complement mapping |
| Demographics | National census, Eurostat | Customer-base sizing |
| Reviews & sentiment | Google reviews (40–80 per competitor) | Competitor strength & gaps |
| Real-estate listings | Public commercial listings | Rent benchmarks |
| Local events & news | Google events, local news | Seasonality & macro signals |
FAQ
Frequently asked questions
Qu'est-ce qu'un logiciel de location intelligence ?
Un logiciel de location intelligence est une classe d'outils analytiques qui transforme les données géospatiales — trafic piéton, démographie, POI, emplacements concurrents, mobilité — en décisions business. Utilisé pour site selection, analyse de zone de chalandise, planification d'expansion et marketing géolocalisé. Exemples : WhereToOpen.ai, Placer.ai, ESRI Business Analyst, CARTO.
Comment fonctionne concrètement la location intelligence ?
Une plateforme de location intelligence ingère plusieurs couches géospatiales — POI Google Maps et OpenStreetMap, données démographiques (recensement, Eurostat), mobilité via panels mobiles ou signaux de popularité, annonces immobilières, sentiment des avis — puis applique des modèles sectoriels. La sortie est une recommandation de décision, pas juste une carte.
Quel est le ROI de la location intelligence ?
Les opérateurs utilisant le site selection data-driven surperforment systématiquement les décisions intuitives. Les études sectorielles montrent un break-even 25–40 % plus rapide, un CA de la première année 15–30 % supérieur et un taux de fermeture réduit sur 24 mois. Pour un build-out à 500 k€, un rapport à 99€ qui évite un mauvais bail est la dépense au plus fort levier du projet.
Ça vaut le coup pour un seul point de vente ?
Oui. Les décisions mono-point de vente sont précisément là où la location intelligence rapporte le plus : vous n'avez qu'une tentative, le bail est pluriannuel, et le coût d'une mauvaise adresse est tout le build-out plus le coût d'opportunité. 99€ face à un engagement de 500 k€+ est une prime d'assurance de 0,02 %.
Quelle différence entre site selection et location intelligence ?
La location intelligence est la discipline large qui tire des insights de la donnée géospatiale ; le site selection est une application spécifique — choisir la meilleure adresse pour un nouveau point de vente. Tout outil de site selection est de la location intelligence, mais toute plateforme de location intelligence n'est pas conçue pour le site selection.
Qui utilise la location intelligence ?
Retailers, restauration, promoteurs immobiliers, réseaux de franchise, banques, telcos, logistique et de plus en plus de PME utilisent la location intelligence pour choisir des magasins, planifier des tournées, cibler des campagnes et prévoir des revenus par zone.
Quelles données entrent dans une plateforme de location intelligence ?
Inputs typiques : trafic piéton depuis panels mobiles ou GPS anonymisé, POI (Google Maps, OpenStreetMap), démographie (recensement, Eurostat), emplacements et notes des concurrents, annonces immobilières et loyers, de plus en plus sentiment des avis et signaux d'affluence live.
Combien coûte un logiciel de location intelligence ?
Les plateformes enterprise coûtent typiquement 5 000–50 000$+ par an. WhereToOpen.ai est conçu pour les PME et facture au rapport (99€) plutôt qu'au siège/an, avec un Location Health Score gratuit pour toute adresse dans le monde.
Puis-je utiliser la location intelligence sans être data analyst ?
Oui. Les plateformes modernes AI-native comme WhereToOpen.ai abstraient la complexité analytique en un flux simple : entrez une adresse, obtenez un rapport de décision. Aucune expertise SIG requise — l'IA fait le travail lourd et explique son raisonnement en langage clair.