Agentic analytics for airline and hotel direct

Find the direct channel revenue leaks before the OTAs capture them.

Bicycle watches direct conversion rate, abandonment, loyalty redemption yield, ancillary attach, rate parity, and revenue per available unit across the routes and properties that matter. When a number moves, it explains the likely cause and recommends the next action to the team that can fix it.

No credit card required

travel / direct conversion agentAgent live
Detect
Direct conversion rate
Route LHR-JFK · business class · last 4h
-3.2ppvs 7-day baseline
Explain · likely causes, ranked
  • 1Supplier rejecting at confirmation on this carrierhigh
  • 2Carrier-tier threshold breached vs 3-hour baselinecontributing
  • 3Provider API timeouts spiking on the booking callcontributing
business causetechnical cause
Act · recommended next step
Alert revenue management with the route, fare class, rate gap, and revenue exposure; route rate parity correction or direct promotion to commercial. Scoped, previewed, logged.
Evidence: booking engine · OTA rate feeds · web analytics · payment gateway · loyalty feeds · PMS

A dashboard shows the direct conversion drop. Bicycle finishes the investigation and recommends the fix.

Where OTA revenue breaks

Start with a single revenue KPI critical to your business.

Bicycle comes with global OTA industry intelligence already inside. Pick one Bicycle-recommended KPI and watch it run: the KPI it watches, the causes it checks, the action it recommends to the owner, and what it keeps.

Pick a revenue problem
Bookability Agent Drop
Direct conversion rateRoute LHR-JFK · business class, last 4h −3.2ppvs 7-day baseline
Direct business class conversion fell 3.2pp after OTA undercut direct rate by 9%

A direct channel problem not listed here? Book a demo and we will map it.

The cost of finding out late

A dashboard shows the drop. It never finishes the investigation.

Before Bicycle

Direct conversion drops for a route. The manual chase begins.

The dashboard shows the decline. The team still checks OTA pricing, abandonment funnels, loyalty sign-in logs, and ancillary data by hand, across five tools and three people.

  1. Revenue checks OTA rate comparison manually
  2. Product checks abandonment funnel by step
  3. IT checks loyalty sign-in error logs
  4. Analytics pulls route and property cuts
  5. Teams argue over whether it's pricing or friction
Hours to days. The OTAs capture the bookings.
With Bicycle

Bicycle starts the investigation the moment direct conversion drops.

It detects the conversion gap, ranks the OTA rate and friction causes, tests pricing and technical factors in parallel, attaches the evidence, and routes the issue to the revenue owner with the next step.

  1. Detect the movement, ranked by impact
  2. Test business and technical causes together
  3. Attach the evidence, rule out the rest
  4. Route the safe action to the owner
  5. Learn the accepted cause for next time
Minutes. The revenue team gets the cause and the fix.
Capabilities · purpose-built for travel

Trained on the KPIs, patterns, and root causes of travel.

Six capabilities, set up once and run continuously. Business teams move faster, analysts keep governance, everyone trusts the number. Pick one to go deeper.

Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.

Who runs this in travel

Business teams need answers fast. Analysts ensure conclusions are trustworthy.

Same governed intelligence underneath. The travel agent for the teams who own the number, the controls for the team who owns the data.

Business teams · act on it

See what changed, why, and what is safe to do.

The move finds you, ranked by revenue impact, with the cause and the next step attached. No dashboard hunt, no three-day ticket.

Flights commercial
Revenue management
Marketing
Sub-verticalsOTAAirlineHotel / lodgingFreight marketplace
Data & Analytics · keep it trusted

Govern the definitions, evidence, and safe actions.

Analysts review first-pass causes instead of rebuilding them. Leaders give the business self-service inside one governed boundary.

Data & Analytics leaders · govern at scale
Analysts & BI · review, tune, publish
Analytics engineers · tune the model
Jump to your roleBusiness teamsData & Analytics teams
What Bicycle becomes for your travel operation

The agentic analytics layer on top of your stack.

Your stack stays the system of record. Bicycle turns travel signals into alerts, triage, stories, dashboards, chat, and governed actions on top of it. No rip-and-replace.

Bicycle the agentic layer
Surfaceswhat business teams touch
AlertsTriageStoriesDashboardsChatActions
Governancethe self-serve safety rail
access · approved definitions · evidence · audit · rollback
AgentsAI · your business analyst

Frames the question, orchestrates the investigation, writes the story, recommends the next step. It reasons.

BookabilitySupplier circuit breakerBooking funnelPrice dropHotel trend
IntelligenceAutoML · your data analyst

Detects movement, ranks drivers, computes confidence, forecasts. The numbers are calculated, not generated.

Pattern EngineCause EngineDriver TreesForecastingImpact Ranking
Business modelthe semantic layer
CarrierSupplierPCCRouteCity pairSearchBooking attemptFareConfirmation
Connectorsthe bridge, in and out
Signal Cause Action Knowledge
reads ↑ · acts ↓ · Bicycle sits on top
Your stack · system of record
Booking enginePMS / reservation systemLoyalty feedsPricing / RMS dataAncillary dataSnowflakeRunbooks / ticketsSlack+ more

And the rest of what you run: booking engine · PMS · loyalty feeds · OTA rate data · ancillary data · Slack

Bicycle runs on top of your existing systems. The direct channel pack supplies the starting KPIs, causes, stories, and action paths.

Vibe Analytics · self-serve start

Start with one KPI in your direct channel stack.

Bring one revenue-critical KPI, connect a trusted source, and watch Bicycle turn a prompt plus your data into a direct channel analytics agent. Zero to a working agent in about 15 minutes.

Prompt + data
"Watch direct conversion rate by route and fare class, and tell me why it moves across OTA rate gap, abandonment step, and loyalty dimensions."
Snowflake · connected
Analytics agent
Builds the model, detects movement, tests business and technical causes.
Outputs
AnswerStoryAlert
Start with direct conversionStart with loyalty yieldStart with rate parity

Grow into the full product when your team is ready.

Test ride Bicycle on a direct channel KPI.

Bring one direct channel or revenue metric that matters. We will show how Bicycle detects the move, explains the cause, and recommends the next step on top of the stack you already run.

No credit card required

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