Experience Booking: Helping Travelers Do, Not Just Stay
Adding activities and experiences to the agent — curating without universal inventory, ranking recommendations, and completing the travel planning loop.
A traveler in Kyoto had a perfect flight and a perfect hotel and no idea what to do for five days. She asked the agent: "What should I do in Kyoto?" And that question exposed a gap in our product that no amount of flight and hotel excellence could fill.
Travelers do not just go places. They do things when they get there. Flights and hotels are logistics. Experiences, the temple visit at sunrise, the cooking class in a local home, the hidden jazz bar that only regulars know about, are what make the trip worth taking. Without experiences, we were a logistics tool. With them, we became a trip planning companion.
The inventory problem
Flights have a unified global distribution system. Hotels have aggregated availability APIs. Experiences have neither. There is no single API that covers cooking classes in Tokyo, walking tours in Rome, and snorkeling excursions in Bali. The experience market is fragmented across thousands of local operators, regional platforms, and direct-booking websites.
This means we could not build experience booking the same way we built flight and hotel booking: connect to an API, search inventory, present results, process booking. Instead, we built a curation and recommendation system that draws on multiple data sources, including local points of interest, verified activity databases, and the agent's own knowledge of destinations.
The agent recommends experiences based on the traveler's interests, the trip context, and practical constraints. A traveler interested in food who is in Kyoto for five days gets different recommendations than a traveler interested in temples who is there for two days. The recommendations are time-aware: suggesting morning activities for morning slots, evening activities for evening slots, and factoring in travel time between locations.
Ranking experiences
We adapted our ranking system from flights and hotels to work for experiences. The same principles apply: preference matching, price-value scoring, and context awareness. But the weights are different.
For experiences, location proximity matters more than for flights. An experience thirty minutes from the hotel is fine for a half-day activity but too far for a quick morning visit. Seasonal relevance matters: cherry blossom viewing in Kyoto is a top recommendation in April but irrelevant in August. Time-fit scoring determines whether an activity fits the available window in the itinerary.
The agent integrates experience recommendations into the trip timeline. After booking flights and a hotel, it suggests activities that fit between check-in and check-out, accounting for jet lag on the first day and packing time on the last. This integrated planning is what travelers were missing when they had flights and hotels but no plan for what to do in between.
The full-loop effect
Adding experiences completed the travel planning loop. Flights get you there. Hotels give you a place to sleep. Experiences give you reasons to go. With all three in a single conversation with a single agent, the traveler can plan an entire trip without leaving the app.
The trip detail screen now shows a layered view: flights at the foundation, hotels in the middle, and experiences woven throughout the itinerary. Each layer adds richness and specificity to the trip, transforming an abstract plan into a concrete set of things the traveler will actually do.
What experience booking taught us is the difference between search products and planning products. A search product finds what you ask for. A planning product helps you figure out what to ask for. Experiences pushed us firmly into planning territory, and that is where we intend to stay.
Nowah is an AI travel agent that searches and books real flights and hotels through conversation — no filters, no thirty open tabs. Plan your next trip.