Where Lima buys phones, and has no store

The challenge

Lima has grown fast, out into districts like Comas and Ate. His store map is ten years old. People there ride an hour into the centre to buy a phone, or give up and buy from a street stall. He cannot see which districts want a store.

How the flow works

With xMap Flows, Andres built Radar. Radar is an AI employee: a flow of 7 blocks.

1. Every quarter,

   Every quarter (Schedule)

2. across all of Lima’s districts,

   All of Lima’s districts (Area of interest)

3. Radar finds every phone shop, repair stall and accessory store,

   Phone shops and repairs (Map business scan)

4. sorts them into clean categories,

   One clean category each (Place classifier)

5. measures how far each one is from the company’s nearest store,

   Our nearest store (Find nearest)

6. keeps the ones more than three kilometres away,

   Over 3 km from us (Filter)

7. and maps where they cluster.

   Where demand waits (Show on a map)

What it solves

• A ten-year-old map: solved by Find nearest and Show on a map
• Customers ride an hour: solved by Filter and Show on a map
• No view of demand: solved by Map business scan and Place classifier

The result

Radar finds twelve hundred phone shops in clusters more than three kilometres from any store. The biggest are in Comas, Ate and Villa El Salvador. Andres opens two stores there in spring, and both reach their target in the first month.

Andres found his next stores by following the phone shops.

An illustrative scenario: the figures are modelled to show what the flow produces, not a customer's results.

The flow, block by block

1. 1

   Every quarter

   Schedule

   Starts the flow on a timetable.

2. 2

   All of Lima’s districts

   Area of interest

   Sets where the flow looks: countries, cities or specific places, or areas you draw on a map.

3. 3

   Phone shops and repairs

   Map business scan

   Finds businesses on online maps live: name, category, rating, address, phone, website and whether it is open.

4. 4

   One clean category each

   Place classifier

   Assigns clean categories and merges duplicate places.

5. 5

   Our nearest store

   Find nearest

   For each place, finds the nearest of your own points from a CSV you upload, for example the nearest ambulance to each accident or the nearest branch to each new lead, and adds its name and the distance.

6. 6

   Over 3 km from us

   Filter

   Keeps only the items that match a rule.

7. 7

   Where demand waits

   Show on a map

   Shows the results as points on a map, with the area of interest.

Templates to build it

Ready-made flows with the same blocks. Open one, change the city and the kind of place, and run it.

• New outlets, graded and routed to each repNew outlets graded, researched and routed to the nearest rep, with what to pitch at each.
• What opens near my storesNew places opening within 1 km of each of your stores, every week.
• Decision makers at new cafesNew cafes scored by xMap AI, with the owner and managers from Apollo.
• Prospects not yet in my CRMSupermarkets and groceries not in HubSpot yet, scored and added every week.
• New clinics for my medical reps, by specialtyNew clinics in your territory every week, sorted by specialty and given to the nearest medical rep.
• Malls with no store of mine nearbyMalls far from any of your stores, the busiest first, every month.

Industries

Learn how it works

• POI data (points of interest)Records of places such as shops, clinics and offices, with their category, position and details.
• Outlet universeThe complete list of points of sale a brand could sell through.
• Data enrichmentAdding details to records you already have.
• Find the nearest of your own sitesMatch each result to its closest branch, depot or vehicle.
• Enrich a list onceA CSV of addresses or companies back with phone, website, rating and an AI score.
• Map business scanA live scan of online maps by type or your own search words.

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