For WhatsApp watch traders

Turn your WhatsApp dealer groups into structured inventory

Thousands of watches scroll past in your groups every day. Kigu reads them with AI and turns the noise into a searchable, structured feed — so you never miss the piece you needed.

TL;DR

Kigu connects to WhatsApp and uses AI to extract watch listings — brand, model, reference, price, condition — from the messages flooding your dealer groups, turning unstructured chatter into structured, searchable inventory and buy-request matches. This native WhatsApp ingestion is uncommon in dealer software, and it is built into Kigu.

The professional watch trade runs on WhatsApp. Platforms that index these groups report 280+ groups and 10,000+ dealers processing millions of messages a month. The deals are there — but they are buried in a wall of forwarded photos, prices in five currencies, and reference numbers typed five different ways.

AI that reads dealer messages the way you do

Kigu ingests messages from your connected WhatsApp groups and runs AI extraction over them, pulling out the brand, model, reference, condition, price and currency into structured records. A message like "116610LN, full set, 2019, 9.8k EUR" becomes a clean, filterable inventory row.

Match buy requests to what's on offer

When a buyer asks for a specific reference, Kigu can match incoming offers against open buy requests — so the right watch surfaces instead of scrolling back through hours of chat. Less FOMO, fewer missed flips.

Your groups, your data

Kigu structures the data flowing through your own connected groups for your own use. It does not publish your group activity or resell your data.

From feed to deal to P&L — in one place

Once a watch is structured, it lives in the same system as your owned inventory, transactions and contacts. Buy it, log the deal, track the margin after fees — without copy-pasting between WhatsApp, a spreadsheet, and your accounting.

Why dealers use Kigu for WhatsApp

Native WhatsApp ingestion
Connect your groups and let Kigu read the firehose — no manual forwarding or screenshots.
AI listing extraction
Brand, model, reference, condition, price and currency parsed from free-text messages into structured rows.
Buy-request matching
Surface offers that match what your buyers are actually looking for.
Searchable history
Filter by reference, brand or price across what has passed through your groups.
One system of record
Structured listings flow straight into inventory, transactions and contacts.
30-currency aware
Prices quoted in any currency normalise to your home view.

Frequently asked questions

How does Kigu get data from WhatsApp?

You connect your WhatsApp to Kigu, and Kigu ingests messages from the groups you choose. AI extraction then structures the watch listings in those messages. It works on the groups you already belong to.

What does the AI actually extract?

It parses the watch details from free-text messages — brand, model, reference number, condition, price and currency — into structured inventory records you can search and filter.

Do other dealer tools do this?

Native WhatsApp ingestion with AI extraction is uncommon in watch-dealer software. Most tools focus on inventory you key in manually or import by CSV. Kigu treats your WhatsApp feed as a first-class source.

Is my group data shared with anyone?

No. The data from your connected groups is structured for your organization's own use. Kigu does not publish or resell it.

Can a matched watch become a tracked deal?

Yes — structured listings live alongside your inventory, so a piece you buy can be logged as a transaction with full P&L in the same system.

Stop scrolling. Start searching.

Connect your groups and turn WhatsApp chaos into structured inventory.

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