Evidence, not instinct.

Street-level scoring for a live retail district.

• 30-point affordability gap between two adjacent streets — invisible without structured scoring
• Same listing scores 81% for one category and 49% for another — business category choice drives the outcome
• Permit fit surfaced instantly across every vacant unit, before any lease conversation begins

Every vacant unit in the district now carries a category score before tenant matching begins.

For property owners and retail districts: location intelligence for commercial real estate

Prime footfall, wrong category — the data said so first.

• The highest-footfall street in the city scores below 50% for Fashion — 76 same-category competitors pull the street fit down
• The same street scores above 85% for Sports & Fitness — the thinnest supply category in the city
• Permit fit is checked across all vacants in one pass — operators know what's viable before they visit

Multi-location fashion retail operator · Netherlands · Pilot done in Q2 2026

Two listings, same rent, same city. 17-point gap.

• Korte Brugstraat scores 83% for Fashion — zero same-category competitors, strong street fit
• Halstraat scores 66% for the same category — five competitors and a denser tenant mix erode the score
• The intuitive pick and the analytical pick are different streets. Shareloc shows you why.

Restaurant chain · Netherlands · Pilot done in Q2 2026

Shortlist of two. One clear answer — once the ecosystem and growth picture came into view.

• Operator had shortlisted two locations in the same city using area-level tools. Both looked viable on the surface.
• Address-level scoring mapped catchment demographics, accessibility, competition pressure, and neighbourhood growth pipeline for each address — signals area-level tools do not reach.
• Location B scored 6.8 points higher — not because of footfall, but because of demographic precision (target women aged 20–40 within cycling distance), a 30-min free parking zone vs. paid parking only, and a growth pipeline score of 96.3 vs. 50.3 — driven by a 333-unit residential development adjacent to the site.
• The ecosystem and growth trajectory changed the picture. The intuitively stronger location was not the analytically stronger one.
• Operator used the output to align internal stakeholders and defend the final location choice.

Premium fitness operator · Netherlands · Custom project · 2026