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Equipment repair · AI Inbound2026.05.12· AI Inbound · auto ticketing

Printer repair calls: AI answers automatically and opens repair tickets instantly

From unreachable lines and long waits to a single 24/7 call that completes a repair: AI Inbound auto-identifies the model and fault and pushes the ticket straight into the repair system

#Equipment repair#AI Inbound#Ticket automation
Printer repair calls: AI answers automatically and opens repair tickets instantly

Repair calls for printers, multifunction devices, and similar equipment are high-volume, repetitive, and time-sensitive — customers churn when they can't get through or wait too long, and live agents are tied up with repetitive questions. After deploying Qubby AI Inbound, all repair calls are answered automatically by AI, which instantly identifies the model and fault and pushes the repair work order straight into the backend system.

Pain point: repair calls don't get through and ticketing is slow

  • High call volume with many missed calls at peak times
  • Model, serial number, and fault descriptions asked repeatedly — slow and error-prone
  • The path from live answering to opening a ticket is long, leaving customers waiting
  • Ticket data is scattered, making follow-up dispatch and tracking difficult

Solution: Qubby AI Inbound auto-answering + auto-ticketing

  • AI auto-answer: 24/7 with no missed calls, handling many calls at once
  • Smart identification: automatically captures the model, serial number, and fault description, guiding customers to fill in the details
  • Instant ticketing: a repair work order is created automatically at the end of the call and returned to the repair system
  • Smart transfer: complex cases or those needing on-site assessment are routed to a live agent

Results: a smooth repair experience and instant ticketing

After AI Inbound went live, repair calls no longer fail to get through or involve long waits — customers complete a repair in a single call; work orders are created instantly and enter the dispatch flow, letting the repair team focus on actual repairs rather than answering and transcribing.

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