Every conversation labelled before anyone opens it.

    CNCT reads each message for intent, matches it to the customer behind it, and labels it by topic, urgency and tier the moment it lands.

    app.doo.ooo/inbox?view=labels Live
    Incoming labelled on arrival
    Sara · 09:41Hi, I was charged twice for my order last week and I need this refunded today.
    BILLINGREFUND-REQUESTURGENTVIP
    Kareem · 09:43How do I connect my Shopify store?
    HOW-TOINTEGRATIONSSELF-SERVE
    Who is talking
    CustomerSara Al-Mansouri
    SegmentVIP · top 5%
    Lifetime valueSAR 4,120
    History12 conversations
    Why these labels
    BILLING97%
    URGENT88%
    VIP100%
    ✓ 1,284 auto-labelled today · 99.4% accurate

    AI labeling.

    • Intent, topic and urgency

      Billing, refund, how-to or complaint, urgent or routine: labels come from what the customer actually wrote, in dialect or English.

    • It knows who is asking

      VIP, repeat buyer or new customer. The label carries the customer's segment, not just the message.

    • Labels that drive the rest

      Routing, automations, campaigns and reports all run on the same labels, and your team can correct one in a click.

    Questions, answered.

    Anything else, ask our team. Book a demo

    Do we have to tag conversations by hand?

    No. Labels are applied automatically when a message arrives, and your team can correct a label in one click.

    What are labels used for?

    Routing conversations to the right team, triggering automations, targeting campaigns and reporting on why customers contact you.

    A customer reading a message on his phone in an office lobby

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    Type your website and DOO builds an agent from what's on it, so you can test it on real questions first.

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