IndustryTravel and hospitality

AI systems for travel and hospitality.

The workflow pattern we see in this industry, and what we would build for it.

The workflow patternEvery handoff is manual

Occupancy pulled

The morning report is exported and read by hand. Yesterday's picture drives today's prices.

Comp rates checked

Competitor rates are checked screen by screen. Coverage depends on how much time the manager has.

Rates set by rule of thumb

Pricing follows fixed rules and instinct. Perishable inventory expires unsold or sells too cheap.

Changes keyed per channel

New rates are entered by hand across channels and rate codes. Guest requests pile up at the desk meanwhile.

What we would buildNamed deliverables

A rate desk and guest-request agent.

An agent that drafts daily pricing by date, segment, and channel for manager approval, pushes approved rates everywhere at once, and handles routine guest requests so the desk works the exceptions. Your revenue manager keeps the final say on every rate. The agent removes the screen-by-screen checking.

10 to 14 weeks from kickoff to a live production system. We stay through adoption.

Named deliverables

Eval harness

Checks agent outputs against a test set before release.

Reliability gates

Hard checks the system must pass before it ships.

Live production system

The working system in your stack, not a report.

Adoption Mile

To the 70 percent weekly-active bar by day 90.

Industry ranges · Not ClearForge resultsIllustrative rows

Front-desk time on automatable tasks
40 to 60 percent
Illustrative
Rate updates keyed per day, manual shops
Dozens per property
Illustrative
Revenue per available unit lift from live pricing
Varies by market
Illustrative

Ranges are industry observations for orientation. They are not ClearForge results. Our results live on the proof page.

See the proof

Start where every engagement starts. The fixed-fee Diagnostic maps this workflow at your property in 2 weeks.

Starting point · Forge Diagnostic