New homes with no supermarket yet
New apartment buildings with no supermarket nearby, scored as places for your next store.
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
- On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
- My cityWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- 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.
- 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.
- 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.
- 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).
- Score each spot with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- New homes to serveAction · Show on a mapShows the results as points on a map, with the area of interest.
- 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
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- Ask the map a question: How many of a kind of place, how many people for each, and where the gaps are, answered on the spot.
- Count what is around each of your places: Competitors, footfall magnets or services within a distance of each site.
- Compare sites side by side: Two or three spots measured the same way, one column each, the best of every row marked and the best site and why.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Site selection: Choosing where to open a store, branch, clinic or facility.
- How to score candidate store sites: Compare sites on residents, competitors and neighbours, with an AI score and a reason.
More for Retail & franchise expansion
- Expansion committee pack, every month: A monthly expansion committee pack: every block scored, the best 20 investigated, approved, mapped.
- Score every neighbourhood for a new branch: Every block of your city scored for a new supermarket, the 20 best on a map.
- Where my rival is and I am not: Every rival branch with none of yours within 2 km, with who lives around it.
- Busy stations with no convenience store: The train and metro stations with the fewest convenience stores around them, scored for a new one.
- Stores competing with each other: Your stores that sit within 1 km of each other, with the people around them.
- Where to put click and collect lockers: Blocks with many residents and no store near, for parcel lockers.