A VALUED CUSTOMER OF THIRDEYE DATA

WellPlanned: a travel concierge that books as well as plans

WellPlanned is a generative AI travel planning and booking concierge for people who want a well-organised trip without spending the hours that planning one properly requires. Its users are busy professionals with real budgets and real preferences, which means a plausible itinerary is not sufficient. It has to be bookable, affordable, and actually suited to the person.

LOCATION

San Diego, California, United States

COMPANY SIZE

Small-scale Enterprise

INDUSTRY

Travel and Hospitality

GenAI travel planning and booking

ThirdEye Data built and delivered the solution. The planning side produces an itinerary that respects both the budget and the personal preferences the traveller has expressed, which is where most generative travel tools fall down: producing a beautiful itinerary that ignores what someone said they could spend is worse than producing nothing.

The larger part of the work was everything that turns a plan into a trip. We built automated booking, including optimisation of ticketing, the activity booking flow and payment processing. We integrated email so the service communicates with travellers properly through the life of a trip rather than only at the point of purchase, and added sections for trips that are already planned. We built hotel and flight booking.

One decision shaped the engagement more than any other: for each part of a trip, how much of the transaction WellPlanned should own end to end and how much should run through affiliate integration. That is a commercial question with heavy engineering consequences, and working through it category by category rather than choosing one model for everything is what made the product viable.

The project was completed and handed over.

Delivered end to end, covering planning, activity, hotel and flight booking, payments and traveller communication.

Related solution: generative AI in consumer products

Consumer generative AI has a harder test than enterprise generative AI. There is no training, no internal champion and no tolerance for an answer that is nearly right. The user either completes the thing they came to do or leaves, and the model is usually a small part of whether that happens.

Most of the engineering in a product like this sits around the model rather than in it. Payment, booking, availability, communication and the integrations with whoever actually holds the inventory decide whether the experience works. ThirdEye Data builds the whole product, and we push early on the commercial architecture, particularly how much of each transaction the business should own versus route through partners, because that choice is easy to change on a slide and expensive to change in code. We have delivered this for travel, and comparable consumer-scale work in retail and price comparison.

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