Agentic analytics for global OTAs

Find the OTA revenue leaks before the traffic you paid for books elsewhere.

Bicycle watches search-to-book conversion, cancellation rate, supplier bookability, revenue per search, and price competitiveness across the segments 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 / search-to-book agentAgent live
Detect
Search-to-book conversion
Europe short-haul · mobile web · last 6h
-9%vs 7-day baseline
Explain · likely causes, ranked
  • 1Supplier allocation cap hit on the two highest-volume carriershigh
  • 2Price gap against comparison sites widened on the same routescontributing
  • 3Provider feed stale, so sold-out inventory is still being showncontributing
business causetechnical cause
Act · recommended next step
Recommend to supplier ops: throttle the capped suppliers and refresh the provider feed on the affected routes, with the carriers, the markets, and the bookings at risk. Scoped, previewed, logged.
Evidence: search events · booking attempts · confirmations · supplier responses · allocation quotas · provider feed timestamps · competitor rates

A dashboard shows the 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
Search-to-Book Agent Drop
Search-to-book conversionWeekend leisure · all destinations -14%vs prior 4-weekend baseline
Search-to-book conversion drop · weekend leisure segment
D · DetectDetect · what moved
Search-to-book conversion rate crossed -12% below 4-weekend baseline. Triggered Friday at 19:30.
Conversion monitor · weekend leisure segment · all destinations
Alert · Search-to-book conversionjust now
Weekend leisure · all destinations-14%
SignalSearch-to-book conversion rate crossed -12% below 4-weekend baseline. Triggered Friday at 19:30.
Conversion monitor · weekend leisure segment · all destinationsSubscribe
E · ExplainExplain · why it moved
Competitor pricing
Market intel
Main competitor launched a 20%-off weekend leisure sale on Thursday; now 18% cheaper on shared routes
Price gap by destination
Pricing engine
Gap widest on top-5 weekend leisure destinations; accounting for 61% of affected search volume
Search abandon rate
Funnel analytics
Abandon at price display step up 22%; searchers seeing price then leaving without booking
Confidence
High
Ruled out
supply availability normalno outage on booking flowdemand signal unchanged
Cause summaryranked
1Main competitor launched a 20%-off weekend leisure sale on Thursday; now 18% cheaper on shared routes
2Gap widest on top-5 weekend leisure destinations; accounting for 61% of affected search volume
Ruled outsupply availability normal · no outage on booking flow
High confidence
A · ActAct · what to do next
Apply targeted price match on top-5 affected weekend leisure destinations
Pricing system
preview · 1-click
Add weekend promo banner on results page for these destinations
Pricing system
preview · 1-click
Monitor competitor price daily for 2 weeks
Monitor
auto · audit-only
Owner: Revenue management and marketing team
ApprovalFinance
Action previewRevenue management and marketing team
Apply targeted price match on top-5 affected weekend leisure destinationsPricing system
Add weekend promo banner on results page for these destinationsPricing system
ApprovalFinance
L · LearnLearn · what the loop keeps
Accepted cause saved: Weekend leisure is the highest-sensitivity segment for competitor price events; requires rapid response. Set up automated competitor price alert for top-20 leisure routes; trigger if gap exceeds 15%.
Decision memory · routed to Revenue management and marketing team
Saved to memorysaved
Accepted causeWeekend leisure is the highest-sensitivity segment for competitor price events; requires rapid response
Next runSet up automated competitor price alert for top-20 leisure routes; trigger if gap exceeds 15%
starts from the answer
Setup
1
Rapid activation
Search, booking, supplier, carrier, route, fare, payment, provider-error feeds, already connected. No rebuild.
2
Vertical native context
Speaks carrier, pseudo-city, supplier, route, fare, confirmation. Answers arrive in your language.
Detect
3
Always-on KPI intel
Watches booking success at carrier × pseudo-city, recomputed every 10 minutes. Surfaces before the average moves.
Explain
4
Multi-factor cause
Tests supplier confirmation, carrier-tier threshold, and provider timeouts together, not in turn.
5
Defensible answers
Every finding cites the carrier, the pseudo-city, and the source system. Trust the number.
Act
6
Governed actions
Recommends the alert to flights commercial and the supplier failover, with preview and approval.

An OTA 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

Search-to-book conversion falls in one market. The manual chase begins.

The dashboard shows the decline. The team still checks allocation, pricing, feed freshness, and the funnel by hand, across five tools and four people.

  1. Supply checks each carrier's allocation by hand
  2. Commercial compares prices against the comparison sites
  3. Engineering checks when the provider feed last refreshed
  4. Analytics pulls market and device cuts
  5. Teams argue over whether it's supply, price, or the funnel
Hours to days. Revenue keeps leaking.
With Bicycle

Bicycle starts the investigation the moment the KPI moves.

It detects the drop, ranks the affected routes and cities, tests business and technical causes in parallel, attaches the evidence, and routes the issue to the 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 owner gets the cause and the move.
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.

Multi-factor cause analysis

"What caused this?" turns into a three-day Slack thread across data, product, ops, and engineering, and the answer still arrives without evidence.

What Bicycle does

1

Open the cause summary. Ranked business and technical causes. The likely driver is named, with confidence and impact.

2

See the evidence. Logs, deploys, pricing changes, supplier behavior, and search relevance, with the data attached.

3

Know what was ruled out. The negative findings close the debate before it starts.

What it looks like for your team

In practice

Each drop is broken down by provider-error type, route, and revenue-weighted impact, so commercial knows whether it is a carrier, channel, or regional issue.

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.

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.

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
Kafka booking eventsSupplier APIsGDS feedsSearch topicsPricing systemsPayment gatewaySnowflakeSlack+ more

And the rest of what you run: booking events · supplier feeds · GDS · pricing systems · payment gateway · Slack

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

Vibe Analytics · self-serve start

Start with one conversion KPI in your OTA stack.

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

Prompt + data
"Watch bookability by carrier and pseudo-city, and tell me why it moves across supplier and provider-error dimensions."
Snowflake · connected
Analytics agent
Builds the model, detects movement, tests business and technical causes.
Outputs
AnswerStoryAlert
Teams usually start withBookabilitySupplier healthBooking funnel

Grow into the full product when your team is ready.

Test ride Bicycle on an OTA KPI.

Bring one search-to-book or supplier 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