Store visit route for a due diligence trip
The branches of a chain you are studying, the strongest and the weakest marked, in the best order to visit them.
What it does
Every Monday: the branches of the chain you are studying in the city you visit, the strongest and the weakest marked by xMap AI, put in the best order to visit them by car from your hotel, with directions, and a visit plan with what to ask at each, emailed with a map.
In one sentence: Mondays at 07:00, in Madrid, find fast food, fast food restaurants and hamburger restaurants in the area, score and rank them with xMap AI, plan the best route to visit them, write a report with xMap AI, then email the list to you and show them on a map.
Why it is useful
Site visits are the slowest part of commercial due diligence. This flow picks which branches to see and plans the day around them, with directions and what to ask at each.
Who it is for
Investors, analysts & consultants. Investors, analysts and consultants who need location numbers they can trust, on a schedule. Every use case for investors & consultants
Best use cases
- A private equity deal team
- A franchise buyer
- A consultant on a market study
What each run gives you
- A visit plan by email
- A map of the branches
The time it saves
Mondays at 07:00. Doing the same work by hand takes about 90 minutes each time; it runs about 4 times a month, so it saves about 6 hours a month (an estimate). It is medium: 8 blocks.
The flow, block by block
- Every MondayTrigger · ScheduleStarts the flow on a timetable.
- City of the visitWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- Branches to visitxMap 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.
- Mark the strongest and the weakest with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- The best order to visit themLogic · Route plannerPuts the places that reach it in the best order to visit them in a day, from a start you pick: one route, one for each rep (by a field such as owner), or shared out between a number of reps.
- Write the visit planxMap 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.
- Show them on a mapAction · Show on a mapShows the results as points on a map, with the area of interest.
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.
- Enrich a list once: A CSV of addresses or companies back with phone, website, rating and an AI score.
- Score, rank and label with xMap LLM: A score and a reason for every result, in your words.
- A written report about the whole list: One summary of everything a run found.
- 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 find new businesses in a city every morning: A daily list of newly listed businesses of a type, ranked, in your inbox.
More for Investors, analysts & consultants
- Market entry study, refreshed monthly: A market entry study refreshed every month: size, chains, demand, the best areas and the risks.
- Competitor density around each site: People per competitor around each of your sites, ranked.
- Who lives around new places: The new cafes in your city with the people living around each.
- Market size of a category across cities: Every coffee shop in five cities, counted and summarised every month.
- New openings into my database: New openings saved to your own database every week, classified.
- Monthly hiring index for a sector: A monthly hiring index for a sector across cities.