NDC Servicing Automation demo
Resolves NDC changes, schedule changes and refunds for agencies, for airline servicing teams 1:34
What the demo shows
Resolves NDC changes, schedule changes and refunds for agencies, for airline servicing teams
The Request Reader turns a free-text agency ask into an order, an intent and the traveler's constraints. The Policy & Waiver Agent applies the fare rule and any waiver with the clause cited, and the Option Builder prices up to three options with the fare difference on each, flagging any that miss the traveler's need. On the servicing desk the agency's message sits on the left, the order on the right and the options between them. When the agency picks, a Checker re-prices the change independently, and only when it agrees does the Order Changer complete it, collect the difference and move the paid seat. Anything outside policy goes to a servicing lead who sees the agents' reasons and decides with a reason code. Refunds run on the DOT clock and schedule changes are swept before agencies ask.
Transcript
- NDC Servicing Automation resolves agency changes, schedule changes and refunds for airline servicing teams.
- Agencies still email for changes.
- NDC refunds take twice as long, 14 days.
- The agency's message is on the left, the order on the right, the options between.
- Harborline asks to move Elena Marsh to Friday in Chicago by noon.
- The agents find a schedule change waiver applies and price three Friday flights.
- One costs $48 more, one lands afternoon, and they say so.
- Harborline picks the 9-15, a contract fare changing dates goes to Marcus, the lead.
- He reads their reasons, each with a source, and approves with a reason code.
- In 13 minutes, order changed, $48 collected, seat moved, and the checker agrees.
- Every value cited, every decision signed, every step logged.
- Today, 171 of 212 asks needed no person and no refund was late.
- Built on Botminds: agents, data, screens, and governance on one platform.
Transcribed from the film’s narration. Captions are on the player.