Reconfirm Run

AI calls risky hotels the night before, so 'no reservation' never happens.

Listen
Reason
Act
Verify
Learn
Closes 5 of 5: Listen, Reason, Act, Verify, Learn

The job

Prevent the worst moment in travel, arriving at a hotel with no record of the booking, by reconfirming risky bookings with the hotel before the traveller leaves home, and show what each run saved.

The moment

Example, illustrative figures

Forty calls go out on the eve of a holiday weekend and the board starts flipping. Nine rows turn red: we have no booking under that name. Those nine families are rebooked and told on WhatsApp before they leave home. The next month's ledger reads no reservation complaints from reconfirmed hotels 0 vs 31 from the rest, $186K avoided, $4.10 per call.

What it does

  • Launch reconfirm run
  • Route discrepancy to an agent
  • Rebook and notify traveller
  • Send partner brief
  • Log discrepancy

What you see

Departures-board call board with transcript drill-down, a discrepancy desk and a cost-avoided ledger

  1. Screen 1: Risk Ladder
  2. Screen 2: Call Board
  3. Screen 3: Discrepancy Desk
  4. Screen 4: Cost-Avoided Ledger

What it moves

'No reservation at check-in' complaints per 1,000 arrivals at risky hotels, and cost avoided per run in dollars (and per call)

Built for

  • Operations
  • QA, training & knowledge
  • CX leaders & VoC
  • Finance
OnClarity

Bring the one question your current platform can't answer.

Our team will map it to the apps that answer it, then set them up on your own feedback.

Talk to our team

Examples use illustrative figures. Apps are set up with our team on your own feedback data, and setup varies by app.

OnClarity

Bring the one question your current platform can't answer.

Our team will map it to the apps that answer it, then set them up on your own feedback.

Talk to our team

Examples use illustrative figures. Apps are set up with our team on your own feedback data, and setup varies by app.

OnClarity

Bring the one question your current platform can't answer.

Our team will map it to the apps that answer it, then set them up on your own feedback.

Talk to our team

Examples use illustrative figures. Apps are set up with our team on your own feedback data, and setup varies by app.