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← Bloombar Watches
Automation Project Luxury Retail

Bloombar Watches · Chrono24

The team prepares Chrono24 listings from the watch details already held in WooCommerce. Separate descriptions and reference numbers help each listing meet marketplace requirements.

Duration 9 months
Tasks 39

The team prepares Chrono24 listings from the watch details already held in WooCommerce. Separate descriptions and reference numbers help each listing meet marketplace requirements.

What was built

  • Store Chrono24 descriptions alongside the shop description.
  • Add watch reference numbers to titles automatically.
  • Avoid repeating reference numbers in exported listings.
  • Look up watch market values to support pricing decisions.

Recently touched

  • 2026-01-20 Chrono24 request: Would it be possible to have a field just for the reference number? So that the model and reference are separated Done
  • 2025-12-28 Website Chrono24: Import + New fields Done
  • 2025-10-16 Website - Make an Chrono24 - Add WC Product new fileds Done
  • 2025-08-14 Chrono24: Mapping for Import - Analytics - Part 1 Done

Other projects in this case study

  • Watch Shop and Sales Support

    The team gets ongoing help with the watch shop, seller forms and customer follow ups. Offer acceptance updates Pipedrive and sends customer confirmations automatically.

    Read case study
  • Watchwars App

    Watchwars is a watch trading game that introduces players to Bloombar Watches. Players can compare scores and follow links to watch valuations and stock.

    Read case study
  • Automatic Uploads

    Watch details move from WooCommerce to WatchFinder and Chrono24. The team can reuse product information instead of entering each listing again.

    Read case study
  • Branded Watch Website

    This project covers launching a separate branded website for the watch business. The available work record confirms that the site was launched.

    Read case study
  • Pipedrive Chatbot

    This project created a chatbot for Pipedrive. The available work record confirms the chatbot was created, but does not describe its conversations or results.

    Read case study

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