PropertyWeb
Gear authority
Same engine forked to a second vertical in a week. Proof the machine travels.
Travel & outdoors
AI development for travel and outdoor companies
Travel AI fails on availability and freshness. A trip planner that suggests a sold-out tour, a closed trail or last year's price loses trust on the first answer. Outdoor products add another constraint: the app has to work where there is no signal.
We build planning assistants that call live inventory and pricing, booking and support agents connected to your reservation system, retrieval over destination, route and gear content, and offline-first mobile apps with on-device search.
Talk to an engineer →Scope in one week. You own the repo from commit one.
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.
Problems we solve in travel & outdoors
- A planning assistant recommends things that are sold out or closed.
- Support handles the same change, cancellation and policy questions all day.
- Destination and gear content is extensive but hard to search.
- Inventory and pricing live in a booking system the AI cannot reach.
- Mobile apps fail in the field where there is no connection.
- Seasonal demand swings make staffing support expensive.
What we build
Systems we build for travel & outdoors
01
Trip planning assistant
Itineraries built from live availability and pricing through tool calls, with every suggestion bookable at the time it is shown.
02
Booking and support agent
Handles changes, cancellations and policy questions against your reservation system and terms, escalating exceptions to staff.
03
Destination and gear retrieval
Search over guides, routes, conditions and product specs with cited answers and date-aware freshness rules.
04
Offline-first mobile app
Native iOS and Android with local data, on-device search and sync when a connection returns.
05
Reservation system integration
Connections to booking engines, channel managers and payment providers so the AI reads and writes real inventory.
06
Content freshness checks
Scheduled agents that verify prices, hours and conditions against sources and flag stale pages for update.
Shipped in this industry
Running in production
Client names stay under NDA. The shapes do not.
Travel & outdoors questions
Something else? Email t@moher.ai and an engineer will answer it.
Can the assistant complete bookings?
Yes, through your booking engine's API, with payment handled by your existing provider. We usually start with planning and hand-off, then add booking once the eval numbers hold.
How do you keep answers current?
Availability and prices are fetched at answer time, never generated. Static content carries a verified date, and anything past its freshness window is rechecked or withheld.
How do you handle traveler data across borders?
We design for GDPR and other regional privacy rules: data minimisation, regional storage where required and deletion on request, working inside your privacy program. Card data stays with your PCI-compliant payment provider.
Do offline apps still use AI?
Yes, with small on-device models and local search for core features, and hosted models when a connection is available.
What does a first engagement look like?
Usually the support agent or a planning assistant on one product line. Six to ten weeks to production.
Tell us what you need built
Four quick questions and an email. An engineer reads every brief and replies within one business day with next steps, and a written scope follows within a week.
- Written scope and price within a week
- Production deploy by week three
- Your repo and cloud from the first commit
- Senior engineers only, no account managers
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.