Agents juggled camping FAQs and luxury bookings. AI now clears routine chats so staff can focus on high-value sales.
The largest operator of lodges and concessions in U.S. national parks manages four contact centers serving diverse brands, from luxury cruises to adventure tours.
The reservations team struggled to handle extreme inquiry volumes ranging from luxury cruise bookings to simple camping questions. Entirely manual...
“Our Central Reservations team handles a diverse range of guests at large volumes every day, and we recognized the need for a smarter, scalable solution to maintain fast, consistent, and personal service—without overwhelming our agents or compromising quality.”
Operator of national park lodges, boutique cruises, and luxury travel experiences.
Generative AI platform for contact center automation and agent productivity.
Xanterra Travel Collection's Customer service automation is part of this use case:
Related implementations across industries and use cases
Callers instantly bypassed robotic routing. Now, an AI voice agent resolves routine requests, passing full summaries to human reps.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
Repetitive calls distracted from check-ins. An AI agent now resolves routine queries and books dining, freeing staff for in-person guests.
A rigid bot forced users to call support. Grounded on 1,500 articles, AI agents now resolve 11k weekly chats, freeing human staff.
Routine booking questions swamped support as advisor ranks grew. An AI assistant now resolves most without a human.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Agents juggled camping FAQs and luxury bookings. AI now clears routine chats so staff can focus on high-value sales.
The largest operator of lodges and concessions in U.S. national parks manages four contact centers serving diverse brands, from luxury cruises to adventure tours.
The reservations team struggled to handle extreme inquiry volumes ranging from luxury cruise bookings to simple camping questions. Entirely manual...
“Our Central Reservations team handles a diverse range of guests at large volumes every day, and we recognized the need for a smarter, scalable solution to maintain fast, consistent, and personal service—without overwhelming our agents or compromising quality.”
Operator of national park lodges, boutique cruises, and luxury travel experiences.
Generative AI platform for contact center automation and agent productivity.
Xanterra Travel Collection's Customer service automation is part of this use case:
Related implementations across industries and use cases
Callers instantly bypassed robotic routing. Now, an AI voice agent resolves routine requests, passing full summaries to human reps.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
Repetitive calls distracted from check-ins. An AI agent now resolves routine queries and books dining, freeing staff for in-person guests.
A rigid bot forced users to call support. Grounded on 1,500 articles, AI agents now resolve 11k weekly chats, freeing human staff.
Routine booking questions swamped support as advisor ranks grew. An AI assistant now resolves most without a human.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.