How it works

    From an address to a decision.

    Score any location, compare candidates side by side, and know exactly why one wins - before you sign.

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    How it works

    How a location decision actually runs.

    Start with a shortlist you already have, or let Shareloc build one for you. From there it's the same three steps.

    1

    Start

    Two ways in
    Shareloc finds them

    You don't have a shortlist yet

    Pick a city and a business category, and Shareloc shows you where the opportunity is.

    • Ranked opportunities from available units
    • Street-level gaps in your category
    • City-level gaps across the centre
    or
    You bring them

    You already have candidates

    A broker's shortlist, your own pipeline, or a single address you're weighing up.

    • Any commercial address in the Netherlands
    • No pipeline setup, no data prep
    • Add candidates as they come in

    Both paths land in the same place: a set of candidate addresses, ready to score.

    Property teams run this in reverse. Start with a vacant unit and Shareloc ranks the business categories it can support, based on what the street already has and what it's missing.

    Score

    Every candidate, scored for your business

    A weighted score built for the business category you have in mind, with every factor broken out and nothing averaged across an area.

    Permit acts as a hard gate

    Compare

    Up to four candidates, head to head

    Every factor side by side, with weights you can adjust to match what actually matters for your business.

    Decide

    Know why one wins, and prove it

    Open any score into the reasoning behind it, and export a breakdown you can put in front of whoever signs off the decision.

    Scores update as the street around a location changes.

    What goes into a score

    Five signals, weighted for the business you're considering.

    The same address scores differently for different businesses, because each signal means something different depending on what you're opening.

    Real pilot data

    Steenweg, Utrecht

    A street where 44.6% of businesses are fashion retail.

    Business category

    Home & Living

    90/ 100

    No same-category competitors on the street, and a category proven on comparable streets nationally.

    Demand78
    Rent71
    Competition94
    Category gaps96
    Permit fitPass

    Business category

    Fashion retail

    55/ 100

    Strong passing trade, but competing with 44.6% of the street for the same customer.

    Demand89
    Rent74
    Competition28
    Category gaps24
    Permit fitPass

    Zoning and functional-use class per address. A pass or fail gate, not a weighting.

    The obvious choice on a fashion street is fashion. The data says otherwise.

    How the score is built

    AI models the opportunity. You see the evidence behind it.

    Scoring one address means weighing thousands of data points about the businesses around it, who lives and works nearby, what the street already has, and what it is missing. Our AI-assisted engine does that work in seconds, and finds the patterns a person scanning a map would not see.

    01Data
    02Models
    03Score
    04Explanation
    05Decision

    What the AI-assisted model does

    Scans at scale

    Every commercial address, street and centre we cover, scored against your business rather than sampled or averaged.

    Finds the patterns

    Which categories perform where, learned across thousands of streets nationally - not from one person’s experience of one city.

    Shows its reasoning

    Every factor that moved the score, visible and exportable. No black box.

    Intelligence at three levels

    Address

    What this specific unit can support, scored for your business.

    Street

    How the frontage around it performs, and which categories are missing from it.

    City

    Where your category has room across the centre, and which streets to look at first.

    You know your business. We know how to model it.

    You define the customer

    Tell us who your customers actually are, and catchment is scored against them rather than against a generic population.

    You set the priorities

    Say which signals matter most for your business, and the weighting shifts with you.

    We do the modelling

    The data, the method and the maths are ours. You never have to build a model or interpret raw numbers.

    Every factor is visible, adjustable, and exportable. Nothing is taken on faith.

    Questions operators ask before they expand.

    How do you choose the right location for business expansion?

    Gate on permit fit first - if the zoning blocks your use, nothing else matters. Then score demand at frontage level, rent per passer-by, same-category competition and unserved category gaps, and apply the same weighted criteria to at least three candidates.

    What is a retail expansion strategy?

    A repeatable method for deciding where to open next: the criteria a location must meet, how they are weighted, and how candidates are scored against them. It makes decisions comparable across a rollout instead of re-argued each time.

    How do you build a business case for geographic expansion?

    Set criteria and weights before looking at sites, score every candidate identically, keep the reasoning attached to each score, and present the alternatives you rejected next to the site you chose.

    Is footfall enough to judge a location?

    No. Footfall tells you how many people pass, not how many buy what you sell. A busy street can be saturated for your category and open for another, so volume has to be read alongside category fit, competitor density and rent.

    Read the full location-decision framework →

    See it on a real address.

    Sign up free and score any location in the Netherlands in two minutes.

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