Where to open a delivery kitchen
Where to open a delivery kitchen: people per restaurant in every block of the city.
What it does
Every month: who lives in every block of the city and how many restaurants serve them, people per restaurant worked out, the best 20 spots checked by an AI agent and shown on a heat map.
In one sentence: Monthly on the 1st at 08:00, in Mumbai, count who lives around, count the restaurants and fast food restaurants within 2 km of each, work out new fields, sort them by people_per_restaurant and keep the top 20, let the AI agent answer, then show them on a map and email the list to you.
Why it is useful
Delivery kitchens should sit where many people live and few restaurants serve them. This flow finds those spots every month.
Who it is for
Restaurants & cafes. Owners and operators of restaurants, cafes and food brands watching competitors, reviews and the next branch. Every use case for restaurants & cafes
Best use cases
- A cloud kitchen operator
- A delivery brand
- A restaurant group adding delivery
What each run gives you
- A heat map of the best spots
- An email
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 360 minutes each time; it runs about 1 time a month, so it saves about 6 hours a month (an estimate). It is advanced: 9 blocks and 2 tools.
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.
- People in every block of the cityxMap 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).
- Restaurants around each blockxMap 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.
- People per restaurantLogic · Calculated fieldAdds fields worked out from the others: a number, a text or a yes/no.
- Best 20 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.
- Check each spot with the AI agentxMap AI · AI agentAn AI agent: for each incoming message it thinks, uses the blocks you link to its Tools port (data, xMap AI, lookups, your tables, other flows, apps), remembers the conversation and writes an answer in {{reply}}.
- Who lives around itxMap data · DemographicsA tool the AI agent uses when it needs itWho 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).
- Fast food around itxMap data · Nearby placesA tool the AI agent uses when it needs itPlaces 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.
- Show them on a mapAction · Show on a mapShows the results as points on a map, with the area of interest.
- Email me the listAction · 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
- 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.
- An instant site report of any spot: Paused for now while xMap improves the data behind it. Reports already made still open.
- 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.
- Competitor mapping: Knowing where competitors are, what opens and how they are rated.
More for Restaurants & cafes
- Where to open my next cafe: Areas with many residents and few cafes, scored for your next cafe.
- Weekly competitive intelligence for my cafes: Weekly competitive intelligence: every rival around your branches profiled, with a strategy note.
- Event venues to partner with: Event venues and hotels to partner with, with the manager and a pitch.
- Restaurants for my wine distribution: Restaurants and wine bars with the sommelier, into HubSpot.
- Areas with few halal restaurants: Blocks with many people and few halal restaurants.
- Restaurants hiring chefs: kitchens to equip: Restaurants hiring chefs, read as new kitchens, with the owner.