Small business lending · Durban, South Africa · Data & research

A loan officer who sees the street before she lends

Thandi is a loan officer at a small lender in Durban. She lends to spaza shops, salons and takeaways in the townships.

Listen to the story:

The challenge

Every application comes with a story, and she cannot visit every street. Some shops have already closed by the time the money lands. Others sit on a street with five copies of the same shop. Last year one in six of her loans went bad.

How the flow works

With xMap Flows, Thandi built Streetwise. Streetwise is an AI employee: a flow of 6 blocks.

  1. When a new loan application comes in,

    A new application (New rows)

  2. Streetwise finds the shop on the map and checks it is open,

    The shop itself (Map business scan)

  3. counts the same kind of shop within five hundred metres,

    Rivals on the street (Nearby places)

  4. judges how likely the shop is to keep trading,

    Will the street carry it? (Jev decision)

  5. asks Thandi to approve,

    Thandi has the last word (Approval)

  6. and sends the owner the answer on WhatsApp.

    The answer, to the owner (WhatsApp Business)

What it solves

The result

This week, Streetwise checked thirty applications in an hour. Two shops had already closed, and one salon had seven others within a short walk. Thandi spent her afternoons with the strongest twenty, and gave each an answer the same day.

Thandi still trusts her instinct. Now the street backs it up.

30applications checked in an hour
2closed shops caught before paying
1 dayfrom application to answer

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

    A new application

    New rows

    Starts the flow when new rows appear in a Google Sheet or in a table in My data.

  2. 2

    The shop itself

    Map business scan

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

  3. 3

    Rivals on the street

    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

    Will the street carry it?

    Jev decision

    Asks TypeSafe’s Jev model one typed question about each place: yes or no, pick one of your options, or a score on your levels.

  5. 5

    Thandi has the last word

    Approval

    Stops the run until someone says yes.

  6. 6

    The answer, to the owner

    WhatsApp Business · WhatsApp

    Send text, media and template messages from your WhatsApp Business number.

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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