AI for Travel Agents: Beyond the Hype
Two years ago, "AI for travel agents" mostly meant chatbots that couldn't answer a question about visa requirements without hallucinating. The landscape has changed considerably. Today there are purpose-built AI tools that address specific, well-defined problems in a travel agency's workflow — and some of them are genuinely excellent.
This is not a list of every AI tool that claims to serve the travel industry. It's a curated overview of the categories that matter, with honest notes on what works, what doesn't, and what to watch for.
Category 1: AI Itinerary Builders
This is the highest-impact category for most agencies. Itinerary creation — whether building from scratch or reformatting DMC packages — consumes more time than almost any other task.
What they do: Take a destination, trip parameters, or a DMC document and produce a structured, client-readable day-by-day itinerary. The best tools write in a warm, conversational tone, include maps links, organise activities into logical time slots, and let you edit the output before sharing.
What to look for:
- Can it read your DMC documents (PDF, Excel, Word)?
- Does it understand Indian travel contexts — DMC workflows, INR pricing, popular circuits like Southeast Asia, Europe, and domestic destinations?
- How long does generation take?
- Is the output actually client-ready, or just a rough draft?
Tools worth noting:
SuperGryd Agent AI is purpose-built for Indian travel agents who work with DMC packages. It has two modules: one for building itineraries from scratch (M1) and one specifically for reformatting DMC documents into client proposals (M2). The DMC enrichment module reads the uploaded document, extracts routing, activities, hotels, and meal inclusions, then generates a polished narrative itinerary in about 60 seconds. It handles the Indian travel workflow specifically — INR budgets, common destination types, and the kind of DMC documents that Indian wholesalers produce. Free tier available.
General-purpose tools like ChatGPT can produce itineraries from a text prompt, but they require significant manual instruction and don't integrate with your DMC documents. They're better for inspiration and drafting than for production-ready client output.
Category 2: AI Customer Communication Assistants
Responding to enquiries quickly is one of the biggest competitive advantages a travel agent can have. Studies consistently show that response time within the first hour dramatically increases conversion rates.
What they do: Help agents draft responses to customer enquiries, handle common questions about destinations, visas, and travel requirements, and reduce the cognitive load of back-and-forth communication.
What to look for:
- Integration with WhatsApp (critical for Indian market)
- Accuracy on visa and travel requirement questions
- Ability to maintain context across a conversation thread
Honest note: This category is less mature than itinerary building. General LLMs like ChatGPT or Claude can help draft email responses quickly if you paste the customer's enquiry and ask for a professional reply, but purpose-built travel communication tools are still emerging. For most agents, the practical approach right now is to use a general AI assistant for drafting and apply your own knowledge as the final check.
Category 3: AI-Assisted Pricing and Margin Tools
What they do: Help agents calculate margins, compare supplier pricing, and generate quote summaries that include package cost, margin, and final client price.
Honest note: This is the weakest category in terms of purpose-built tools available in India. Most agents still use Excel for this. Some itinerary tools (SuperGryd included) have basic package cost fields, but a true AI pricing assistant that integrates with multiple Indian DMC feeds doesn't exist as a mature product yet. Watch this space.
Category 4: AI Destination Research Tools
What they do: Help agents quickly research destinations they're less familiar with — best times to visit, local customs, what's new in the destination this season, specific hotel or resort comparisons.
What to look for: Accuracy and recency of information. Most LLMs have a knowledge cutoff, which matters when a client asks about a newly opened resort or a recent change in visa policy.
Practical approach: Perplexity AI is particularly useful here because it pulls from live web sources with citations. For destination research questions — "What's the current visa-on-arrival situation for Indians travelling to Thailand?" — it's more reliable than ChatGPT because you can verify the sources it cites.
What to Actually Prioritise in 2025
If you're a travel agent looking to add AI to your workflow, the practical priority order is:
-
Itinerary creation — this is where AI saves the most time, and purpose-built tools like SuperGryd are mature enough to trust in production.
-
Email/WhatsApp drafting — using ChatGPT or Claude to draft client responses based on a quick description of the enquiry. Not a specialised tool, just a workflow change. Very low effort, immediate time savings.
-
Destination research — Perplexity for live-sourced questions, general LLMs for background context.
-
Pricing and margin — stay on Excel for now unless your GDS or aggregator has released a tool you can evaluate.
The fundamental question to ask about any AI tool is: does it solve a specific problem in my workflow, or is it adding complexity? The tools that are worth adopting in 2025 are the narrow, well-defined ones — and AI itinerary generation is the clearest example.