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A complete restaurant location example generated with the production report template: executive decision, scores, maps, indicators and appendix. Every data point is entirely fictional.

This document only demonstrates the report structure and level of detail. It does not represent a real location or analysis.

Cover of the demo report for a restaurant, with the notice that the data is fictional

The report decides, and says why.

It opens with a verdict — 69 out of 100, proceed with conditions — then shows the four numbers behind it, what to do about it, and how that score was calculated.

  1. Header of the executive decision: score 69 out of 100 and the verdict “proceed with conditions”

    Moment 1 of 4

    The verdict

    It opens with a decision, not a table: 69 out of 100, proceed with conditions.

  2. The four score cards: demand 70, competitive space 99, real estate 44, footfall 69

    Moment 2 of 4

    The four numbers behind it

    The verdict rests on four measures. Competitive space is wide, 99. Real estate is the weak point, 44.

  3. The “operational priorities” column with its three numbered actions

    Moment 3 of 4

    What to do about it

    And it says what to do: size the format for the 11,420 target residents, differentiate from the 14 competitors 145 metres away, start from the 6 available units.

  4. Bar chart of the six component scores, each with its weight

    Moment 4 of 4

    Where the score comes from

    Six components, each with a declared weight — for a restaurant demand is worth 34%, footfall 6%. The score is deterministic: the same data produces the same number.

The six measures behind the score.

The score comes from six measures, each with a declared weight. Here they all are, heaviest first: for a restaurant that runs from demand at 34% to footfall at 6%.

  1. Histogram of the catchment's age distribution, from the 0-17 group to 65 and over

    Evidence 1 of 6

    Who lives in the catchment

    24,680 people, 11,420 of them in the target group. The 35-54 band is the widest: 7,651, or 31%. Density 8,960 per km².

  2. Bar chart of the competitors found, ordered by distance from the location

    Evidence 2 of 6

    Who you compete with

    14 competitors within 1,200 metres, the nearest at 145. Average distance 602. For a restaurant the cluster attracts rather than takes away, which is why competitive space scores 99.

  3. Doughnut chart of points of interest split into positive, negative and neutral

    Evidence 3 of 6

    What surrounds it

    61 points of interest: 31 push, 8 subtract, 22 are indifferent. Average foot traffic scores 76.3, density 72.4.

  4. List of commercial properties with type, price, floor area and distance

    Evidence 4 of 6

    Where you could put it

    6 available units, 2 for sale and 4 to rent: an average of €717,500 to buy, €4,462 a month to rent, 141 square metres.

  5. Bars for the three ESG pillars: environmental, social and governance

    Evidence 5 of 6

    The urban context

    68.6 out of 100, rating B, from nine measured factors. Social pulls it up, governance holds it back.

  6. Footfall table: net flow, gross flow, interchange flow, stops and connectivity

    Evidence 6 of 6

    How many people pass

    1,160,000 net passages a month across 18 stops, with average connectivity 3.70. It carries 6%: for a restaurant it matters less than who lives there.

Demonstrative, without ambiguity.

The report presents the product without framing invented numbers as market evidence.

  • Entirely fictional data

    The location, figures, maps, properties and conclusions do not correspond to real-world elements.

  • Deterministic score

    The Location Score is presented as a method output, separate from the AI-generated synthesis.

  • AI always disclosed

    The example synthesis is explicitly identified as AI-generated content.

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