Cleartrip Customer Support Agent
Cleartrip Customer Support Agent
Online travel agencies handle thousands of customer inquiries daily — booking confirmations, flight changes, refund requests, hotel cancellations, and itinerary modifications. The volume spikes unpredictably around holidays, weather disruptions, and airline schedule changes, overwhelming support teams. This AI agent, modeled on the customer support workflows of platforms like Cleartrip, automates the most common post-booking inquiries. It retrieves booking details, walks customers through modification options, processes cancellation requests, and provides real-time refund status updates without requiring a human agent. For OTAs processing over 50,000 bookings per month, that means resolving 60% to 80% of support tickets instantly, reducing average handle time from 8 minutes to under 90 seconds.





Cleartrip Customer Support Agent
Online travel platforms deploying AI agents achieve measurable savings within the first quarter by deflecting high-volume, repetitive support tickets.
AI chatbots handle approximately 80% of customer service interactions in the tourism industry. For an OTA processing 100,000 bookings per month and generating 15,000 to 20,000 support tickets, deflecting 60% to 80% of those tickets means 9,000 to 16,000 fewer conversations requiring human agents each month. At an average cost of $6 to $12 per human-handled ticket, that translates to $54,000 to $192,000 in monthly savings — a return that typically exceeds the annual platform cost within the first 60 days.
Human agents on OTA support desks average 7 to 10 minutes per ticket when factoring in identity verification, system lookups, and policy checks. The AI agent completes the same workflow in 60 to 90 seconds. For the tickets it resolves, that 85% reduction in handle time compounds across thousands of monthly interactions. Beyond cost savings, faster resolution directly improves CSAT scores. Travel companies deploying AI chatbots report 15% to 35% revenue increases from improved customer experience and repeat booking rates.
A single airline schedule change can generate 500 to 2,000 support requests in a matter of hours. Staffing for these unpredictable spikes means either maintaining excess capacity (expensive) or suffering long wait times (damaging to CSAT and retention). An AI agent absorbs disruption-related volume at zero marginal cost, handling hundreds of simultaneous rebooking conversations that would otherwise require emergency overtime or outsourced overflow agents at $25 to $40 per hour.

Cleartrip Customer Support Agent
features
Capabilities designed for the unique challenges of online travel agencies managing multi-supplier inventory and high-volume customer interactions.
Unlike single-category support bots, this agent handles flights, hotels, vacation packages, and ground transport within the same conversation. A customer asking about a combined flight-and-hotel booking gets a unified response rather than being bounced between separate support queues. This mirrors how platforms like Cleartrip bundle products, and it is critical for resolving issues where a flight delay impacts a hotel check-in or a package cancellation requires coordinated refunds across multiple suppliers.
Travel refund policies vary dramatically by supplier, fare class, and booking date. The agent applies the correct cancellation policy automatically — distinguishing between a refundable hotel booking and a non-refundable airline ticket within the same reservation. It calculates applicable cancellation fees, explains the refund timeline, and processes the request without human intervention. This capability alone can deflect 30% to 40% of support tickets on a typical OTA platform.
When airlines cancel flights or change schedules, OTA support desks get flooded with rebooking requests simultaneously. The AI agent can proactively notify affected customers, present alternative options, and process rebookings at scale — handling hundreds of concurrent disruption-related conversations that would otherwise create 45-minute to 2-hour hold times. During peak disruption events, this capability alone justifies the deployment.
OTAs like Cleartrip serve travelers across geographies who expect support in their language. The Tars AI agent handles conversations in multiple languages natively, ensuring a domestic traveler in India and an international tourist booking from Germany both receive the same quality of automated support. No separate bot instances are needed per language — a single agent adapts in real time based on the customer's input language.
Cleartrip Customer Support Agent
Three steps to resolve the most common online travel platform support requests without routing to a human agent.
Cleartrip Customer Support Agent
FAQs
The agent retrieves the customer's booking details using a reference number or email, checks modification eligibility against the supplier's policy, presents available options (new dates, upgraded rooms, alternate flights) with any price differences, and processes the change once the customer confirms. The entire interaction typically takes under two minutes. For modifications that require supplier-side approval, the agent submits the request and follows up with the customer when the confirmation comes through.
The Tars AI agent can process refunds end-to-end for cases where the refund policy is clear-cut — refundable bookings within the cancellation window, supplier-initiated cancellations, or schedule-change-driven refunds. It calculates the refund amount, applies any applicable fees, initiates the refund through your payment gateway integration, and provides the customer with a confirmation and expected timeline. Only disputed or ambiguous cases require human review.
Tars integrates with over 1,000 tools including major CRM platforms (Salesforce, HubSpot, Zoho), helpdesk systems (Zendesk, Freshdesk), payment gateways, and custom booking engines via API webhooks. For OTAs, the most critical integrations are with the reservation system (to pull and modify booking data) and the payment platform (to process refunds). Zapier and direct webhook support enable connections to virtually any system your tech stack uses.
When connected to your flight data feed, the agent can proactively detect schedule changes and reach out to affected customers before they contact support. It presents alternative flight options, processes rebookings, and handles the cascade effects on connected hotel reservations or ground transport. During peak disruption events, the bot scales horizontally — handling hundreds of simultaneous conversations with no degradation in response time or accuracy.
Tars holds SOC 2 Type 2 certification, ISO 27001 compliance, and is GDPR compliant with all data encrypted in transit and at rest. For travel platforms handling payment card data, Tars operates within PCI-DSS-aligned infrastructure. These certifications meet the security requirements that enterprise OTAs and their supplier partners mandate during vendor evaluation. Tars serves customers including American Express and other global enterprises.
Most OTAs are live within two to four weeks. The first week covers conversation flow design and integration setup with your booking system and CRM. The second week involves testing against real support scenarios and refining edge case handling. For platforms with complex multi-supplier inventory, allow an additional one to two weeks for supplier-specific policy configuration. The Tars team provides implementation support throughout.
Yes. The Tars AI agent supports multilingual conversations natively, detecting the customer's language from their input and responding accordingly. This is essential for OTAs serving diverse markets — a customer booking in Hindi, Arabic, or German receives the same automated support quality as an English-speaking traveler. No separate bot deployment is required per language.
Industry data shows AI chatbots handle approximately 80% of routine customer service interactions in tourism. In practice, the automation rate depends on your ticket mix. Post-booking inquiries (status checks, cancellations, modifications, refund tracking) are the most automatable, typically representing 60% to 75% of total OTA support volume. Pre-booking questions and complex multi-party disputes still benefit from human handling, though the AI agent collects context before handoff, reducing the human agent's resolution time by 40% to 50% even on escalated cases.








































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