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4 demand niches for spare parts

How analysing car club conversations showed which parts people look for most.

4demand niches
120car club chats
180 000messages

About the client

An auto parts store expanding its range.

Task

Buyers chose items by gut feeling, and part of the stock sat unsold for years.

Solution

The AI analyst went through 180,000 messages in 120 car club chats and showed which parts people look for most and where they cannot find them.

Result

The store found 4 niches with demand but almost no supply and stocked up for them.

What changed in the work

  • Buying by demand

    The range is built on real requests.

  • Less dead stock

    The warehouse does not fill up with unneeded items.

  • Ready customers

    The same chats became a sales channel.

  • Control

    All reports and samples are available in the app.

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