Sneakers and streetwear · Singapore, Singapore · Site selection

A pop-up spot that sells out the drop

Wei Ling leads retail marketing for a sneaker brand in Singapore. Every month she opens a pop-up store for a new drop.

Listen to the story:

The challenge

Choosing the spot is a gamble. Her team walks the malls, takes photos, and argues for a week. The last pop-up sat in a quiet corner of a brand new mall, and half the stock went back to the warehouse.

How the flow works

With xMap Flows, Wei Ling built Watchtower. Watchtower is an AI employee: a flow of 7 blocks.

  1. On the first Monday of every month,

    First Monday of the month (Schedule)

  2. from Orchard Road to Tampines,

    Orchard to Tampines (Area of interest)

  3. Watchtower finds the malls and food halls,

    Malls and food halls (Nearby places)

  4. keeps the ones with a high traffic score where people stay longest,

    Busy, with long stays (Filter)

  5. picks the top five,

    Top five (Sort and limit)

  6. explains why each one fits the drop,

    Why each one fits (xMap LLM)

  7. and turns it all into slides for the team.

    Slides for the team (Make a report)

What it solves

The result

This month, Watchtower ranks five spots, with Bugis on top: people there stay well over an hour. The team agrees in one meeting instead of five. The pop-up sells out in nine days, a week faster than the last one.

Wei Ling’s team stopped arguing about corners. Now they argue about restocking.

5spots ranked each month
1meeting, not five
9 daysto sell out the drop

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

    First Monday of the month

    Schedule

    Starts the flow on a timetable.

  2. 2

    Orchard to Tampines

    Area of interest

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

  3. 3

    Malls and food halls

    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.

  4. 4

    Busy, with long stays

    Filter

    Keeps only the items that match a rule.

  5. 5

    Top five

    Sort and limit

    Puts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.

  6. 6

    Why each one fits

    xMap LLM

    Tell the AI what to do in plain words.

  7. 7

    Slides for the team

    Make a report

    Turns the items that reach it into a clean PDF report with your logo and colour: the summary an xMap LLM block wrote for the whole list, the figures, charts of kinds and cities, a map and the list.

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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