Where to build the next plant: workforce and logistics
Industrial areas ranked by workforce and logistics, as a site memo.
What it does
When choosing a plant site: candidate industrial areas, each with the working-age people within 10 km and the trucking companies nearby, ranked by xMap AI as a site memo for the board.
In one sentence: Monthly on the 1st at 08:00, in Bucharest, find industrial areas and business parks in the area, count who lives around, count the trucking companies and logistics services within 10 km of each, work out new fields, score and rank them with xMap AI, sort them by fit score and keep the top 5, write a report with xMap AI, then email the list to you.
Why it is useful
A plant needs workers and trucks. This compares candidate areas on both before the board decides.
Who it is for
Manufacturing & industrial supply. Manufacturers, industrial distributors and plant teams finding distributors, suppliers and workers, and keeping plants running. Every use case for manufacturing & industrial
Best use cases
- A manufacturer expanding
- An industrial park developer
- An investment promotion agency
What each run gives you
- An email with the memo
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 300 minutes each time; it runs about 1 time a month, so it saves about 5 hours a month (an estimate). It is medium: 10 blocks.
The flow, block by block
- On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
- Candidate regionWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- Industrial areasxMap 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.
- 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).
- Trucking companies nearbyxMap 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.
- Working-age peopleLogic · Calculated fieldAdds fields worked out from the others: a number, a text or a yes/no.
- Score each site with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- Best 5 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.
- Write the site memoxMap AI · xMap LLMTell the AI what to do in plain words.
- 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
- 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 Manufacturing & industrial supply
- Factories hiring production staff, for my equipment sales: Factories hiring operators, scored as equipment buyers.
- Metal fabricators for welding supply sales: Fabricators graded as welding supply buyers, with the owner.
- Food manufacturers for my packaging sales: Food manufacturers scored as packaging buyers, with procurement.
- Industrial distributors in a new country: Industrial distributors in a new country, scored, with the managing director.
- Truck repair and machine shops for my spare parts reps: New workshops graded as spare parts buyers, to the reps.
- Garment factories for my fabric sales: Garment factories graded as fabric buyers, with the merchandiser.