The Unstructured Chaos of Travel Requests

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The Unstructured Chaos of Travel Requests

Imagine getting a mail or a whatsapp message

"Hey, I need to be in Berlin next week for a client meeting. Prefer Star Alliance. Can you check flights?"

That’s the entire message.

No dates. No departure city. No return preference. No budget.

But hidden inside it is a real request with real urgency and real complexity.

The Hidden Layers in Travel Requests

These are the kinds of emails travel consultants and TMCs receive every day. They’re short. Human. Messy. And incredibly unstructured.

But look closer, and you’ll see how many decisions need to be made:

  • What city is the traveler flying from?
  • "Next week" : which exact date? Do they need to be there by Monday morning or just sometime next week?
  • Is this a round trip? When are they returning?
  • "Prefer Star Alliance" but is that mandatory?
  • Are they eligible for business class under policy?
  • Does this require manager approval?

By the time you’ve answered these, you’ve already spent 10–15 minutes just decoding the ask and you're still not quoting. That’s 10-15 minutes per request spent just decoding the ask. Its time that quickly compounds into hours of lost productivity and delayed customer responses across your team.

That’s Where AI Comes In

At Samyag, we’re building an AI agent that reads travel request emails like this and understands what’s actually being asked.

It doesn’t just scan for keywords but infers, interprets and structures the request:

  • Decodes dates from vague language like "next tuesday" or "after 5 days"
  • Links preferred airlines to eligibility and policy
  • Identifies missing info and asks for it automatically
  • Builds multiple itineraries that match intent, policy and price targets
  • Prepares responses in minutes not hours

Example: From Chaos to Clarity

Message:

“Need to send Rohit to Singapore early next month. Should be back before the 10th. Keep it under 75K.”

Samyag AI Interpretation:

Traveler: Rohit

Route: Likely from base location (e.g., Mumbai) to Singapore

Dates: Depart between 1st–5th of the month, return before 10th

Budget: ₹75,000

Samyags Outputs :

Policy fetched from backend : Economy class, preferred airline if applicable

Auto-generated quote with 3 compliant options

Sent to traveler with option to confirm or adjust

Why This Matters

Travel agents should be strategic partners, not data deciphers. They should be focusing on high value decisions like managing complex itineraries, handling unforeseen exceptions, providing personalized recommendations and enhancing the overall customer experience. These are the aspects that truly build loyalty and drive business growth. Samyag AI liberates them from the mundane, allowing them to excel where human expertise truly shines.

Samyag AI can handle the chaos and bring structure where there was none. This isn't just about automation. It's about fundamentally reshaping how travel is managed, making it more efficient, accurate, and human-centric.

If your team is drowning in vague emails or whatsapp messages and slow quoting cycles, let’s talk.

We’re building the AI that reads travel requests like a human but works at machine speed.

Ready to transform your travel request workflow? Let's talk. Message us to schedule a demo. Better yet, challenge us! Send us one of your 'messy emails' and we'll show you how Samyag AI delivers instant, structured clarity.

#TravelTech #AIinTravel #CorporateTravel #Automation #TMC

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