How Buropilot evaluates business location readiness, where data comes from, and what the analysis actually covers.
This platform is a decision-support research tool. Scores and recommendations are estimates based on available public data, user inputs, and AI analysis. They do not guarantee business success, financing approval, or lease suitability.
The Business Fit Score (0–100) is a weighted composite evaluated across seven categories for the selected Paris area. A score above 70 indicates a strong contextual fit; 50–70 is moderate; below 50 suggests significant challenges.
Local Demand
How well the local population (density, income, age, lifestyle) aligns with the target customer for this business type. Based on INSEE census and Apur urban studies.
Competition Level
Market saturation by sector in this arrondissement. Lower saturation yields a higher sub-score. Sourced from SIRENE and Paris Open Data business registrations.
Commercial Momentum
Recent business openings, economic development signals, and area dynamism. Estimated from public data and AI modelling of growth trends.
Rent Feasibility
Whether the user's stated monthly budget is realistic for commercial rents in this area. Benchmarked against DRIHL annual surveys and CCI Paris data.
Accessibility
Metro and RER lines, bus routes, cycling infrastructure, and walkability. Based on RATP network data and OpenStreetMap.
Area Identity Fit
Qualitative match between the area's character (tourist, residential, creative, luxury, local) and the business concept. AI interpretation.
Outreach Opportunity
Local events, markets, community networks, and digital presence opportunities available in the area. AI interpretation.
The seven categories above contribute to a composite score. Exact weighting details are not published publicly. The score is one part of the report — the full due-diligence file includes sources, risk flags, a verification checklist, and recommended next steps.
INSEE
Institut national de la statistique et des études économiques
Government · Updated Annual
Covers: Demographics, population density, income levels, household profiles. Used for all demographic scoring.
Scope: Demographics and local statistics only.
https://www.insee.fr →SIRENE
Répertoire national des entreprises et établissements (INSEE)
Government · Updated Monthly
Covers: Active/closed business status, establishment counts by sector and commune.
Scope: Active/closed establishment data only.
https://www.data.gouv.fr/fr/datasets/base-sirene-des-entreprises-et-de-leurs-etablissements-siren-siret/ →APUR BDCOM
Atelier Parisien d'Urbanisme — Base des commerces parisiens
Government / Research · Updated Quarterly
Covers: Paris commercial premises, commerce trends, retail vacancy, land use density.
Scope: Commercial premises and commerce trends only — not individual rents.
https://www.apur.org →BODACC
Bulletin Officiel des Annonces Civiles et Commerciales
Government · Updated Daily
Covers: Legal commercial events: closures, collective proceedings, radiation signals.
Scope: Legal commercial events and closure signals ONLY.
https://www.bodacc.fr →DVF
Demandes de Valeurs Foncières — DGFiP
Government · Updated Annual
Covers: Property sale transaction prices — context only.
Scope: Property transaction and sale-price context ONLY. NOT used for commercial rent estimates.
https://www.data.gouv.fr/fr/datasets/demandes-de-valeurs-foncieres/ →DRIHL / CCI Paris
Direction Régionale de l'Hébergement et du Logement + CCI Paris
Government · Updated Annual
Covers: Commercial rent benchmarks by zone. May lag market by 6–12 months.
Scope: Rent benchmark ranges only — not exact or current lease rates.
https://www.drihl.ile-de-france.developpement-durable.gouv.fr →OpenStreetMap
OpenStreetMap / Nominatim Geocoding API
Government / Research · Updated Continuous
Covers: Map display, location geocoding, place names.
Scope: Used with caching, attribution, and rate-limit protection for map display only.
https://nominatim.openstreetmap.org →Paris Open Data
data.paris.fr — Ville de Paris
Government · Updated Monthly
Covers: Business registrations, zoning, public infrastructure.
https://opendata.paris.fr →AI Scoring Model
ParisLoci — LLM-based composite scoring engine
AI Estimation · Updated Real-time
Covers: Qualitative synthesis, area identity, outreach signals, score narrative. NOT verified public data.
Scope: AI-generated interpretation only. Must not be presented as verified public data.
User Input
Business parameters provided by the user
User Input · Updated At analysis
Covers: Budget, business type, target audience, business model, price level.
Verified — High Confidence
Modelled — Medium Confidence
Estimated — Low Confidence
This platform is a decision-support research tool. Scores and recommendations are estimates based on available public data, user inputs, and AI analysis. They do not guarantee business success, financing approval, or lease suitability.
The Business Fit Score and all associated analyses are provided for informational purposes only. They do not constitute financial, legal, or commercial advice. Entrepreneurial outcomes depend on execution quality, financing, personal expertise, market timing, and many other factors outside the scope of this tool. Always consult qualified local experts — including licensed real estate agents, business consultants, CCI Paris advisors, and legal advisors — before making any location or investment decisions.