Travel sites show one date, one headline fare and a bundle discount you only see after you commit. Bags, seats and change rules show up later. CrossDigital Solutions designed an AI travel manager for a boutique U.S. agency. It ranks trips on what they will really cost you, shows the bundle math up front and plans the whole budget.
The agency's site looked like most small travel sites: four hand-picked "deals", separate tabs for flights, hotels and cars, and a quote form. Every visitor saw the same page and the same "from" prices. Those were per person, for one date, with no bags.
Behind the form, an agent priced each piece in a different tool and emailed a quote a day or two later. By then the fare had moved, the bag rules had changed, and the traveler had booked elsewhere.
Travelers can't see what a trip will really cost, across dates, add-ons and bundles, until they've almost paid. Agencies can't explain the value they add, so travelers default to the cheapest headline price.
use AI to give every traveler an honest, personal, whole-trip price, with flexible dates, the real cost of add-ons and the bundle math shown up front, when we don't control the fares?
Flights, hotels, cruises and cars. Call us or request a quote.
Airfare is shown for the date you typed. Recommendations stick to that single option, and bundle savings appear only once you've added items to the cart. You can't see the range, the trade-offs or why a price is what it is.
Traveler question it can't answer: "If I leave Tuesday instead of Friday and add the hotel, what do I actually save?"
Flights, stays, cars, bags and activities are bought in separate places. No one plans the trip around your real situation: total budget, days off, who's traveling, the bags you always check, the status or card you already have.
Traveler question it can't answer: "Given $3,500 and my week off in April, what's the best trip I can take?"
Bag, seat and change fees vary by airline and fare and change often, which makes bundles hard to price and report. Agencies rarely show the benefit their content and service add compared with booking it yourself.
Traveler question it can't answer: "With two bags and my airline card, which fare is really cheapest, and what does the agency save me?"
Airlines, hotels and cruise lines set the fares. AI can't change them, but it can show the range across dates, apply the add-on rules to you, do the bundle math before you commit, forecast with honest confidence and plan the whole budget. That's what we mean by a quality price experience.
Why this is urgent: in the U.S., the 2024 DOT rule requiring airlines and agents to show bag and change fees at first price display was vacated by the Fifth Circuit in February 2026. DOT has since returned to its 2011 disclosure standard.[7] Personalized fee transparency is now a product choice, not a legal requirement, and that makes it a way to stand out.
Each is good at something. None plans a whole trip around one traveler's budget and add-ons. Facts are cited below. Assessments are ours, as of October 2026.
| Gap | Hopper | Airbnb | Expedia | Google Flights | Travel manager (ours) |
|---|---|---|---|---|---|
| G1 Price range across dates | Fare calendar for flights | Stay total for chosen dates | Search per date | Date grid + price graph | Whole-trip cost by departure day |
| G1 Bundle math before booking | — | — | Package total; component prices hidden | — | Separate vs bundle shown up front |
| G2 Plans a whole-trip budget | — | Stay only | Flight + hotel cart | Flight price cap | Budget split across trip + booking plan |
| G3 Add-ons applied to you | — | Fees in total | — | Generic bag estimate | Bags, seats, status, cards |
| G3 Shows its own value | Predicted savings | — | "Package savings vary" | — | Itemized value receipt |
The traveler and the agency, side by side, with the gap behind each drop-off. Pick a stage.
Each one closes a gap. AI does the parts people can't do at scale: reading fare rules, forecasting, searching every date and doing the bundle math for every traveler.
A seven-day grid of whole-trip cost by departure day, not one fare for one date.
Separate vs bundle price before you commit, plus the next add-on that's actually worth it.
Your bags, seats, status and cards applied to every fare. Each rule shows the date it was last checked.
A trip-level budget, ranked options and a booking plan: what to book now and what to track.
Shows what the agency saved you, which fees you avoided and which protections you have.
Set up a traveler, then pick a trip. The ranking uses the true cost on the best nearby day, not the headline fare. Prices here are illustrative and calculated in your browser.
Booking plan
Agency value receipt
closes G3Illustrative model. Bundle types and maximum discounts follow the project's pricing spec. Bag and seat fees use typical published U.S. levels, but real rules vary by airline and fare and change often. Forecast rules are simplified. In production, they're trained on fare history and shown alongside their track record.
Three screens for the traveler and one for agency staff. Hover a note to find it on the frame.
Several came straight from the teardown. A price tool that over-promises or slips in fees loses trust faster than a static page.
Every "book now" or "track it" shows a confidence level and the reasons behind it, plus the model's track record on that route.
Seats, protection and support upgrades start unchecked and are priced in the total before the traveler chooses them.
Bag and seat rules change. Each one shows its source and the date it was last checked, and staff are alerted when a rule changes.
The agent calls fare, hotel, cruise and activity inventory in real time. It never invents an option or quotes a price from memory.
The card is held, the supplier confirms, and only then is the card charged. A dynamic price can't become a surprise bill.
Partner price sheets override live fares per route, with a preview. Questions the AI can't resolve go to a staff queue.
We build AI travel managers, recommendation engines and dynamic pricing for travel and service businesses. You don't need a data team to start.
Client details are anonymized. Demo prices, fees, demand levels and sentiment scores are illustrative, not client data. Company names are trademarks of their owners and are used for comparison only. CrossDigital Solutions is not affiliated with them.