Campuses, hospitals and stations for my vending machines
Campuses, hospitals and stations scored for vending machines.
What it does
Every quarter: universities, hospitals and train stations in your city with how many people live around each, scored by xMap AI for snack and drink vending machines.
In one sentence: Monthly on the 1st at 08:00, in Osaka, find universities, hospitals and train stations in the area, count who lives around, score and rank them with xMap AI, sort them by fit score and keep the top 20, then add row in Google Sheets and email the list to you.
Why it is useful
Vending machines earn where many people pass all day. The best sites are ranked.
Who it is for
FMCG & distribution field sales. Distributors and consumer brands whose reps cover outlets: new shops, routes, channels and stock. Every use case for fmcg & distribution
Best use cases
- A vending operator
- A beverage bottler
- A snacks brand
What each run gives you
- A Google Sheet
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 120 minutes each time, so it saves about 2 hours a month (an estimate). It is medium: 8 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.
- Busy indoor placesxMap 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).
- Score each site with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- 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.
- Add them to the vending planApp · Google SheetsCreate, edit, and collaborate on spreadsheets online
- Email me the resultsAction · 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.
- How to find new businesses in a city every morning: A daily list of newly listed businesses of a type, ranked, in your inbox.
- POI data (points of interest): Records of places such as shops, clinics and offices, with their category, position and details.
More for FMCG & distribution field sales
- New outlets, graded and routed to each rep: New outlets graded, researched and routed to the nearest rep, with what to pitch at each.
- Hotels and restaurants to supply, researched: Hotels, restaurants and caterers matched to your products, with the buyer, in HubSpot.
- New outlets to CRM: New restaurants and cafes as leads in your CRM every morning, with a brief for the reps.
- Neighbourhoods without a grocery store: Blocks where people live with almost no grocery store, biggest gaps first.
- New outlets on my routes, prioritised, to the nearest rep: New grocery outlets on your routes, each assigned to the nearest rep, every weekday.
- Monthly outlet census of my city: Every food outlet in your city, by channel, the ones not in your CRM, every month.