Thought leadership

From Damage Claims to Rebooking: What AI Can Now Handle End-to-End

From Damage Claims to Rebooking: What AI Can Now Handle End-to-End
Written by
Blue Flores
Published on
March 24, 2026

Industry

Location

Number of Employees

Website

It starts with a carousel that doesn't move.

You've just landed after a three-hour delay. Your connection is gone. You scan the baggage claim and wait — and wait — and then the bag that finally emerges isn't yours. The hard-shell case you checked is cracked down the middle, the lock forced open, the contents disheveled. You pull out your phone, open the airline's app, and tap the chat icon.

"Hi! I'm Aria. How can I help you today?" My bag is damaged and I missed my connection. "I'm sorry to hear that! Here are some links about our baggage policy. Would you like me to connect you with an agent?"

You say yes. You wait. Forty-seven minutes later, a human picks up and asks: "Can you confirm your booking reference?"

This is not a customer service problem. It's an architecture problem.

The gap isn't the delay. It's the response.

Airline delays are up. So are complaints — but at a rate that tells a more troubling story. Complaints against U.S. airlines increased by nearly 9% in 2024, while passenger volume grew by only 4%. Disruptions went up a little. Frustration went up a lot.

+9%
Complaints against U.S. airlines in 2024
+4%
Passenger volume growth over same period
70%
Of all complaints from just 3 issue categories

Flight irregularities — delays, cancellations, missed connections — now account for 36% of negative airline reviews, up from 20% in 2019. Lost or damaged baggage follows closely behind. Together with check-in and boarding issues, these three categories represent nearly 70% of all traveler complaints. These aren't fringe cases. They are the core of the airline customer experience.

The uncomfortable truth is that most airlines already know this. They've invested in apps, chatbots, and digital channels. Some have even hired vendors promising "AI-powered support." And yet the complaints keep climbing.

The reason is simple: most airline AI is built to contain, not to resolve.

There's a difference between answering and doing.

Ask a legacy chatbot whether your flight is delayed, and it will tell you. Ask it to rebook a two-leg itinerary, file a damaged baggage claim, check your mileage balance, and follow up over SMS when the replacement bag ships — and it will transfer you to a queue.

That is containment. It deflects a question long enough to get it off the board. It keeps a human agent from answering a call about flight status, which is fine. But when a traveler's bag is destroyed, or a family with three kids has missed their connection and needs a hotel room tonight, containment is not care.

Legacy chatbot
  • Reads baggage policy aloud
  • Transfers to a 47-min queue
  • Asks for booking reference again
  • Resets context on every channel
  • Closes the ticket, not the loop
Agentic AI
  • Initiates the damage claim instantly
  • Pulls reservation and loyalty data
  • Identifies rebooking options proactively
  • Confirms itinerary and sends follow-up
  • Escalates with full context if needed

The mishandled baggage rate hit 7.6 per 1,000 passengers in recent years — a near-decade high, and on international routes, eight times worse than domestic. Every one of those passengers needed something that could actually do something. Not read them a policy. Not put them on hold. Not ask for their booking reference a fourth time.

"An agentic AI doesn't just respond — it acts. That's not a feature. It's the whole point."

Context is the product.

Here's what makes the traveler experience feel so broken, even when individual pieces work fine: every channel resets the conversation.

You called. Then you chatted. Then you emailed. And every time, you started from zero. Booking reference. Flight number. The story of what happened. Again.

This is not a staffing problem. It's a data architecture problem. Most airline platforms weren't built around the traveler — they were built around the transaction. The moment the transaction ends, the memory goes with it.

A persistent digital thread changes the equation. When every interaction — voice, chat, SMS, in-app — lives in the same continuous record, context travels with the traveler. An agent who picks up an escalation sees the full history. A follow-up message three days later doesn't require re-authentication and re-explanation. The conversation is alive, not episodic.

This is the model Zingly is deploying with a leading global airline today — working on exactly these complex, multi-step use cases: the damaged baggage claim filed at 11pm, the multi-leg rebooking that requires checking loyalty status and fare rules, the medical accommodation request that needs to be routed, confirmed, and documented. Not someday. Now.

The persistent Room — Zingly's term for that unified thread — isn't a UX feature. It's the infrastructure of trust. It says to the traveler: we remember you, and we're still on it.

The loyalty math nobody talks about.

Airlines spend enormous resources on loyalty programs. Points, tiers, status benefits, co-branded credit cards. The economics of loyalty are well understood: a retained frequent flyer is worth multiples of the cost to acquire a new one.

But here's what the loyalty math tends to ignore: a single bad recovery experience — not a delay, but a mishandled delay — is enough to trigger switching intent. Research shows that anger from service failure, as distinct from frustration or worry, directly drives passengers to switch airlines. The difference between frustration and anger, in most cases, is not what went wrong. It's what happened next.

Passengers are more forgiving than airlines assume. They know weather delays happen. They know bags get lost. What they don't forgive is silence, transfers, and being made to repeat themselves. What builds loyalty in a disruption — and this is counterintuitive — is speed and ownership. An AI that files the claim before you ask, texts you the update without being prompted, and escalates to a human with full context if needed? That's not just good service. That's the moment the airline earns a customer for life.

The calculus for airlines is shifting.

In September 2025, the Trump administration withdrew the proposed rule that would have required U.S. airlines to pay cash compensation for controllable delays — modeled on Europe's EU261, which mandates up to €600 per passenger. The rollback removed a financial stick. But the competitive pressure remains.

Passengers travel more than ever, and they talk. Bad experiences spread faster than good ones. In a market where route overlap between major carriers is high and price sensitivity is real, the differentiator is increasingly the experience around the flight — not the seat itself.

Airlines that invest in AI that actually resolves — not just responds — gain on multiple dimensions at once: lower live agent and BPO costs, higher CSAT scores (Zingly's airline deployments have tracked approximately 14% improvements), and the loyalty uplift that comes from turning a crisis into a moment of genuine care.

The chatbot that recites your bag policy is a cost center with a chat interface. The AI that files your claim, confirms your rebooking, and texts you at 7am with a status update is a competitive advantage.

What airlines should be asking their vendors.

Not "do you have AI?" Everyone has AI.

The right questions to ask
  1. Can your AI complete a damaged baggage claim end-to-end, overnight, without a human?
  2. If a traveler calls, then chats, then texts — does the context follow them?
  3. When a complex case needs a human, does the agent get full history instantly, or start from scratch?
  4. Can your AI identify a rebooking opportunity and execute it proactively — before the traveler asks?

The answers separate containment from resolution. And resolution is what turns a 47-minute hold time and a broken bag into a traveler who books with you again.

The carousel doesn't have to feel like a dead end. The first message from the AI doesn't have to be a policy link. The moment a traveler's bag comes off that belt damaged is not the moment an airline loses them — it's the moment the airline has a chance to keep them.

The gate agent can't always fix it. But the right AI can.

See it in action.

Zingly is working with a leading global airline on these exact use cases — today.

Request a demo