Agentic analytics · for travel product analytics teams
Recover it before ops escalates. Fare block, or a gateway timeout.
When booking stalls at payment, Bicycle ranks whether it's a fare restriction or a gateway timeout, on the exact route, while it's still recoverable.
Cursor multiplied what one engineer could do. Bicycle does the same for your analysts.
No credit card required
Detect
Explain
Review
The operating model is breaking
The force multiplier for your travel product analysts.
Faster onboarding, fewer repeat investigations, and decisions backed by evidence, with your team governing every definition, answer, and action.
Without Bicycle
With Bicycle
repeat
The same funnel questions come back to your queue every week
Booking conversion slips on a route, search-to-book dips, payment completion stalls, and you re-cut the data, rebuild the drivers, and reassemble the evidence from zero.
reuse
You build each investigation once, then reuse it
Tune the driver tree once; Bicycle reruns it every time that route moves, with the evidence already attached.
sprawl
Every new route and channel adds more to model
More city pairs, more KPI definitions, more dashboards, more ad-hoc "why did booking drop?" asks landing on your queue.
one model
New routes inherit one governed model
New routes and channels inherit approved KPIs, patterns, and cause paths instead of starting from a blank cut.
shadow
Revenue management builds shadow analytics while it waits
Side spreadsheets and ad-hoc queries on conversion and fares, with no lineage, no review, no shared definition.
self-serve
Revenue management self-serves inside guardrails
They get answers with lineage on the KPIs they own; you keep definitions, permissions, and actions governed.
blamed
You own the number but get blamed for the delay
Accountable for whether the booking conversion number is right and for clearing the queue, at the same time.
both
Trusted answers, delivered faster than the asks arrive
The recurring queue moves faster than the questions come in, and every published answer is defensible.
The capabilities
One governed system, six capabilities behind every answer.
Set up once, run continuously. Each capability is reviewable and governed by your team, so the business self-serves on a number it can trust. Pick one to go deeper.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
The playbookBuild · Tune · Govern
Your team builds the intelligence layer once. Bicycle runs it, tunes it, and lets you govern it as it scales.
Buildthe trusted foundation
→
Tunethe intelligence layer
→
Governself service and safe actions
A day in the lifeFirst pass by Bicycle · the call is yours
Retail investigation queue
The morning review starts with the first pass done.
Booking conversion dropped at the payment step on one route. Bicycle has already checked the segments, ranked the likely causes, attached the evidence, and kept the definition governed. Your team reviews the answer, publishes the story, and tunes what should happen next time.
Booking conversion · BOM→DXB · mobile webTop segment below baseline. Affected segment and evidence already assembled for analyst review.
Queue · alerts needing review
HighBooking conversion droppedBOM→DXB · Mobile web2.3%-1.8pp vs baselineTop segmentBOM→DXB · Mobile web$58Kat riskRevenue Managementowning team8:42 AM
MedAdd to cart rate downAll devices · Paid traffic5.6%-0.7pp vs baselineTop segmentPaid traffic · US$31Kat riskGrowth Marketingowning team8:15 AM
MedPayment success rate downAll devices · Credit cards92.1%-1.2pp vs baselineTop segmentCredit cards · US$44Kat riskPaymentsowning team7:02 AM
LowInventory in-stock droppedShoes · 3 warehouses94.3%-0.3pp vs baselineTop segmentShoes · West region$12Kat riskInventoryowning team6:55 AM
+ 4 alerts · 1 high · sorted by revenue at risk
SnoozeOpen investigationTriaged to one segment · BOM→DXB · mobile web
2.3% conversion
baseline 4.1% · ▼1.8pp · returning users · high volume
1 of 6 segments affected · 5 within expected range
Likely driversranked · confidence
Fare/policy restriction on the routeprimary71%
Payment gateway handoffsecondary52%
Seat availabilityruled out
Recommended actionsscoped
Create a ticket on Jirascoped
Alert #retail-revenue on Slackscoped
Escalate payment gateway latencypreview
scoped · previewed · reversible · logged
+ Detected 8:42 · first pass 8:43 · top segment BOM→DXB · mobile web
Adjust modelApprove & publishImpact overview
2.3%
conversion rate · -1.8pp vs baseline 4.1%
1.24Maffected users
5.83Msessions
Top affected segments
1
BOM→DXB · mobile web
-1.8pp2
DEL→DXB · mobile web
-1.2pp3
BOM→DXB · returning users
-0.9ppEvidence attached
Funnel trendPDP to purchase
Channel mixpaid vs organic
Fare/policy stateopen vs restricted
Gateway latencyspike @ 2:15 AM
Ruled out · not drivers
Price changesno overlap with window
Promo changeseligibility unchanged
Seat availabilityunchanged
New vs returningboth affected equally
Definition governed · Source read-only · sources fresh
+ Reviewed by analyst on duty · 8:51 AM
Send backConfirm evidenceYour conclusion84% confidence
Booking conversion dropped for mobile web users on BOM→DXB, primarily driven by a fare/policy restriction on the route. A payment gateway handoff delay is a secondary contributor.
Recommended next steps
1Escalate the payment gateway latency for BOM→DXB mobile.
2Monitor booking conversion and gateway response time.
3Re-check the fare/policy rule and set a gateway-latency guardrail.
Attach & sharegoverned
Impact summary
Evidence bundle
Next steps
Share with
Ecom leadershipEcommerce OpsGrowth Marketing+2
+ Published to Slack · #retail-revenue · 8:54 AM
Save draftApprove & publishBicycle applied your approved playbook.
Detected pattern
Payment-step drop
→
Applied playbook
booking conversion
→
Likely driver
Fare/policy restriction
→
Recommended action
Escalate gateway latency
Caught 74 min earlier · 7:28 AM vs 8:42 AM on the first run
No re-investigation · pattern auto-applied, analyst review optional
+ Memory: travel booking-conversion playbook · run 2
ReviewView playbookMore roles on Bicycle · same loopYour team's KPI · your screens
Different teams own different metrics. Bicycle keeps the investigation governed.
Move from this booking-funnel view to the travel workflows around bookability, supplier health, and look-to-book.
Vibe Analytics
Build your first governed investigation.
Start with one recurring metric in your queue: why checkout conversion, payment success, or activation moved. Bicycle watches the governed KPI, checks likely causes across the warehouse, payments, app & web, and events, and hands your team a reviewable first pass.
What to bring
A recurring investigation: checkout conversion, payment success, search conversion, or activation rate.
An approved read-only path to the relevant sources: the warehouse, event streams, app & web, payments, or ad networks.
The KPI definition, default segments, and reviewers who decide what becomes trusted.
What we do
Configure the investigation path around your KPI, segments, and evidence rules.
Monitor device, OS, channel, region, and segment movement.
Prepare a first-pass cause analysis with evidence, ruled-out paths, and governed definitions.
No credit card required · analyst-reviewed · governed from day one