Direct booking conversion
The share of direct booking sessions or qualified conversations that complete a reservation.
For hotel revenue leaders
Traversing.ai turns web, phone, and messaging demand into bookable conversations, then attributes each interaction to the booking and revenue outcome.
700+
hotels powered
3 weeks
standard deployment
Existing
systems stay in place
First workflow
Demand to direct revenue
The work
The agent handles the conversation and transaction path. Your revenue team keeps the strategy, guardrails, and commercial decisions.
Guests ask detailed questions before booking, but the path from an answer to live inventory and checkout often breaks.
How the AI team helps
The MCP Booking Engine connects conversational interfaces to live booking actions instead of stopping at a link.
A shorter path from intent to direct booking.
View productAbandoned bookings, missed calls, and incomplete inquiries leave high-intent demand unattributed and untouched.
How the AI team helps
AI Contact Center follows up across voice, text, and email with hotel-defined offers and routing rules.
More recoverable demand returned to a direct path.
View productConversation volume alone does not show whether a channel or campaign created incremental revenue.
How the AI team helps
Traversing.ai connects interactions to bookings, upsells, campaign responses, and conversion outcomes.
Commercial reporting tied to the result, not vanity volume.
View productA black-box system that changes commercial decisions without approval creates more risk than value.
How the AI team helps
The hotel defines the actions an agent can take, the source systems it can use, and where a person must approve or take over.
Automation inside revenue-team guardrails.
View productDefine success first
These are measurement definitions, not projected results. The baseline and target come from the workflow your team chooses.
The share of direct booking sessions or qualified conversations that complete a reservation.
Attributed booking and upsell revenue divided by the AI-handled interactions that contributed to those outcomes.
The share of abandoned or incomplete demand that later completes a booking after an AI follow-up.
Attributed gross profit or revenue from a campaign compared with the cost of running and servicing it.
Connect the data and actions the workflow needs. Keep the systems that already hold the hotel’s operating truth.
Systems
Channels
Makes live booking actions available in conversations
Converts inbound demand and runs recovery workflows
Answers pre-booking questions with hotel context
Scope the inputs, actions, owners, escalations, and KPI before deployment begins.
The practical question
No blanket autonomy is required. Your team defines rates, inventory sources, offer rules, permissions, and approval thresholds. The agent can execute the allowed conversation and booking steps while commercial strategy stays with the revenue team.
Evaluation questions
The deployment is designed around the interaction and transaction path so the team can measure bookings, upsells, campaign responses, and revenue generated by the workflow.
Traversing.ai is built to connect with the hotel’s current PMS, CRS, booking engine, CRM, and related distribution systems rather than replace the entire stack.
Yes. The hotel sets the audience, offer logic, message rules, contact permissions, and escalation path for each workflow.
Choose one commercial outcome such as direct booking conversion, recovery conversion, or revenue per interaction. Establish the baseline before launch so the lift is attributable.
Across the hotel
Book a 15-minute introduction. We’ll map one demand source, its current booking path, and the revenue measure for a first deployment.