New homes with no supermarket yet

New apartment buildings with no supermarket nearby, scored as places for your next store.

MediumMonthlyAI

Retail & franchise expansionRetailReal estateFood and drink

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What it does

Every month: apartment buildings that opened in your city in the last year, how many supermarkets and grocery stores are within 1 km of each and who lives around it, the ones with the fewest shops first, scored by xMap AI as a place for a new store and mapped.

In one sentence: Monthly on the 1st at 08:00, in Toronto, find apartment buildings, apartment complexes and housing developments in the area, count the supermarkets and grocery stores within 1 km of each, sort them by nearby_count and keep the top 20, count who lives around, score and rank them with xMap AI, then show them on a map and email the list to you.

Why it is useful

New homes bring new shoppers before any shop follows them. This flow finds the buildings that opened in the last year with the fewest shops around, so you can be the first.

Who it is for

Retail & franchise expansion. Expansion, real estate and network planning teams deciding where the next store or franchise goes. Every use case for retail & franchise

Best use cases

  • A supermarket chain planning convenience stores
  • A pharmacy group following new housing
  • A bakery brand looking for new neighbourhoods

What each run gives you

  • A score and reason for each new building
  • A map of new homes to serve
  • An email of the best spots

The time it saves

Monthly on the 1st at 08:00. Doing the same work by hand takes about 120 minutes each time; it runs about 1 time a month, so it saves about 2 hours a month (an estimate). It is medium: 9 blocks.

The flow, block by block

  1. On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
  2. My cityWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
  3. New apartment buildingsxMap data · Nearby placesPlaces around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.
  4. Supermarkets around eachxMap data · Nearby placesPlaces around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.
  5. The fewest shops firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
  6. Who lives aroundxMap data · DemographicsWho lives in an area: the number of residents, men and women, and nine age groups, from xMap’s population grid (hexagons of about 0.1 km², about 100 countries).
  7. Score each spot with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
  8. New homes to serveAction · Show on a mapShows the results as points on a map, with the area of interest.
  9. Email me the spotsAction · EmailSends one email per run with all the items, or one email per item.

Every block can be changed after you use the template: the city, the type of place, the score, where the results go.

Use it now

Answer a few questions, enter your work email, and it runs in your own account, kept running until you pause it. Use this template.

How to set it up

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