Cram schools · Osaka, Japan · Site selection

Classrooms by the station, with few rivals around

Haruto opens new branches for a chain of cram schools in Osaka. Parents pick a school their children can walk to from the station.

Listen to the story:

The challenge

He needs classroom space near a station, with few rival schools close by. He walks the streets around Umeda and Tennoji, checks the agents’ windows, and counts rival signs by hand. By the time he finds a good floor, someone else has signed the lease.

How the flow works

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

  1. Every morning at eight,

    Every morning at 8 (Schedule)

  2. around Osaka’s busiest stations,

    Osaka’s main stations (Area of interest)

  3. Chalk finds the office space for rent within five minutes’ walk of a station,

    Office space for rent (Regional data sources)

  4. keeps the new ones,

    New since yesterday (Only new)

  5. counts the cram schools around each,

    Rival cram schools (Nearby places)

  6. keeps the floors with two rivals or fewer,

    Two rivals or fewer (Filter)

  7. and posts them to his team.

    To the branch team (Microsoft Teams)

What it solves

The result

On Tuesday, Chalk finds a second floor four minutes from Tennoji station, listed overnight, with only one cram school nearby. Haruto views it at ten and signs by lunch. It opens in spring with sixty students.

Haruto stopped walking the streets for space. Now he sees it first.

4 minwalk from the station
1rival school nearby
60students at opening

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 morning at 8

    Schedule

    Starts the flow on a timetable.

  2. 2

    Osaka’s main stations

    Area of interest

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

  3. 3

    Office space for rent

    Regional data sources · Regional data

    xMap’s regional datasets: pick a country, then a dataset, such as real estate transactions in Saudi Arabia, property for rent or for sale listed right now in the United States, Japan and the United Arab Emirates, or Road traffic history in the United Arab Emirates (cars counted hour by hour since 2021).

  4. 4

    New since yesterday

    Only new

    Lets through only the items this flow has not found before, so a daily flow sends only what is new.

  5. 5

    Rival cram schools

    Nearby places

    Places 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.

  6. 6

    Two rivals or fewer

    Filter

    Keeps only the items that match a rule.

  7. 7

    To the branch team

    Microsoft Teams · Teams

    Runs an action in Microsoft Teams.

Templates to build it

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

Industries

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