Retail
→
Conversion · margin · availability
Search conversion
Inventory availability
Promo profitability
Refund spike
Agentic analytics · for business teams
Know before the dashboard does. Know why. Know what's next.
When a number you own starts to slip, Bicycle catches the moving slice, finds the cause, and lines up the next step. It surfaces the answer before it ever hits a dashboard. You walk into the meeting already knowing why.
A dashboard shows you the number after it moves. A chatbot answers what you type. Bicycle finds the problem first.
No credit card required
Know
Understand
Act
Morning brief · what changed
Conversion · mobile checkout · iOS-4.2%
Ranked #1 by impact. Est. exposure $42k. It found you, before you opened a dashboard.
Rank#1 · by revenue exposure
Also movingRefunds · apparel +1.8%
Surfaced8:02am · ranked for you
From our clients
What teams say.
“Focusing on aggregate metrics might boost our bottom line, but true profit growth often lies in the details. Bicycle empowers us to spot hyper specific opportunities and pinpoint key drivers. This shift from broad strokes to precision targeting is transforming our supply chain strategy.”
Rakshit Daga
CPTO, bigbasket
“With over 45,000 restaurant locations leveraging the UrbanPiper software and processing millions of orders every week, Bicycle has been pivotal in our approach to data-driven decision-making.”
Saurabh Gupta
Co-Founder/CEO, UrbanPiper
“Bicycle AI gives us real-time visibility into settlement performance that we simply didn’t have before. We can spot issues early, understand why they’re happening, and take action before they impact our customers.”
Farai Alleyne
SVP, Technology Operations, Billtrust
“Our supply chain and logistics technology relies on real-time data from a variety of sources. Bicycle supplements our data science efforts by providing proactive, event-driven insights to help deliver a superior customer experience.”
Blair Koch
Chief Digital Officer, ACERTUS
You own the number, not the answer
You're accountable for the result, yet the "why did this move?" answer lives in someone else's queue.
Same number, two operating models. One sends you to a ticket and a dashboard. The other brings the answer, the why, and the next step to you.
Without Bicycle
With Bicycle
too late
You check dashboards to find out something already broke
By the time a number stands out, the window to act has half closed.
real time
KPI anomalies, alerted in real time
You see what matters the moment it moves, not when you remember to look.
ticket
The "why" means filing a request and waiting
Three days later you get a chart back, not a decision.
with the alert
A trusted explanation of the cause arrives with the alert
Cause, evidence, and ruled-out drivers on a governed definition. No ticket, no waiting.
still slow
Knowing isn't fixing, and the revenue keeps leaking
Even with the answer, lining up the next step is a separate scramble.
act fast
The next step comes with it, so you act to quickly resolve the issue
Guided, safe actions to close the gap, not just a chart to interpret.
The capabilities
One governed system, six capabilities behind every answer.
Six capabilities, set up once and run continuously. Business teams move faster, the data team keeps 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.
In practice
"Mobile checkout dropped 4% on iOS." Cause: Apple Pay button failing since 9:42am, release v4.18.2. Ruled out: pricing, inventory, promo, weather.
The playbookKnow · Understand · Act
Your part of the loop is three moves: know what changed, understand why, act on it.
Knowwhat changed
→
Understandwhy it moved
→
Acton it, inside guardrails
Pillar 01Know
Know what changed before the review, down to where it moved.
Bicycle watches the KPIs you own, checkout conversion, payment success, activation, across device, channel, and segment, and flags the move first, exactly where it happens, before the meeting.
How Bicycle watches Every KPI you own, watched across segments; the move that matters surfaces ranked by impact.
Pillar 02Understand
Understand why conversion moved before you ask.
The first-pass cause arrives ranked, with the evidence behind it: a wallet regression, a promo rule, a pricing change, so you see why conversion moved without filing a ticket and waiting.
How Bicycle finds the cause It narrows to the affected segment, tests the drivers, and ranks the cause with the evidence behind it.
Pillar 03Act
Act on it, scoped and routed to the team that owns the fix.
Take the scoped next step, roll back the release or route it to the team that owns the fix, previewed and approved. Everyone can ask; the data team controls what gets trusted, and every action stays bounded, reversible, and logged.
How Bicycle acts on it It recommends the next step scoped to the cause, previews it, and runs it inside your guardrails.
A day in the lifeFirst pass by Bicycle · the call is yours
Your morning brief
Your morning brief starts with the first pass done.
Checkout conversion dropped on iOS overnight. Bicycle has already checked where it moved, ranked the likely causes, attached the evidence, and kept the definition governed. You review the move, check the evidence, route the fix to the owner, and reuse it on the next drop.
Checkout conversion · iOS · mobile webConversion below baseline on iOS, with the evidence already assembled for your review.
Today · what moved on your KPIs
HighCheckout conversion droppediOS · Mobile web · US-4.2%vs 4.1% baselineTop segmentiOS · Mobile web · US$58Kat riskYour KPIconversion8:02 AM
MedRefund rate upApparel · returns+1.8ppvs baselineTop segmentApparel · US$24Kat riskOpsowning team7:40 AM
MedAverage order value downWest region-0.9%vs baselineTop segmentWest · all devices$17Kat riskMerchandisingowning team7:12 AM
LowAdd to cart rate downPaid traffic-0.6ppvs baselineTop segmentPaid · US$9Kat riskGrowthowning team6:58 AM
+ 4 KPIs · 1 high · sorted by revenue at risk
SnoozeOpen the moveTriaged to one segment · iOS · Mobile web · US
-4.2% conversion
baseline 4.1% · returning users · high volume
1 of 6 segments affected · 5 within expected range
Likely driversranked · confidence
Apple Pay wallet regression → checkout stepprimary88%
Promo eligibility rulessecondary22%
Pricing & discount changesruled out
Recommended actionsscoped
Recommend fix to the Payments ownerscoped
Alert #checkout-revenue on Slackscoped
Roll back the wallet SDK updatepreview
scoped · previewed · reversible · logged
+ Detected 8:02 · first pass 8:03 · top segment iOS · returning
Adjust modelSee the evidenceImpact overview
-4.2%
conversion · vs baseline 4.1%
1.24Maffected users
5.83Mcheckout starts
Top affected segments
1
iOS · Mobile web · US
-4.2%2
iOS · Mobile web · West
-2.6%3
iOS · Returning users
-1.9%Evidence attached
Funnel trendcart to purchase
Wallet successApple Pay
Device performanceiOS vs Android
Release activitywallet SDK update
Ruled out · not drivers
Pricing changesno overlap with window
Inventory availabilityin stock
Traffic mixpaid vs organic stable
New vs returningboth affected
Definition governed · Source read-only · sources fresh
+ Reviewed by you · 8:11 AM
Send backTake the actionRecommended actionscoped
Roll back the Apple Pay wallet SDK update for iOS mobile web, the change that broke the checkout step.
iOS · Mobile web · US · returning
The guardrailbefore anything runs
Preview the change firstrequired
Scope to the affected segmentiOS only
Owner approves the rollbackPayments
Rollback stays one click awayreversible
Where it goesrecommended
Alert #checkout-revenueauto
Recommend to Payments ownerapproval
Pause the wallet promoapproval
scoped · previewed · reversible · logged
+ Scoped to iOS mobile web · reversible · logged
Adjust scopeRecommend & assignBicycle applied your accepted cause path.
Detected pattern
Wallet regression
→
Applied path
iOS mobile web
→
Likely driver
Apple Pay checkout step
→
Recommended action
Roll back SDK update
Caught 68 min earlier · 6:54 AM vs 8:02 AM on the first run
No re-investigation · path auto-applied, your review optional
+ Memory: checkout-conversion drop · run 2
ReviewView saved pathSame signal · different decisionOne source of truth · two audiences
One source of truth. Two business audiences.
Operators act on the move in front of them. Execs steer the longer range. Both work from the same governed numbers. The value just shows up differently.
Business & functional execs
Know what matters. Steer the quarter.
You don't need forty dashboards. You need the handful of moves that matter across the business, the narrative behind them, and enough confidence in the numbers to commit a quarter to them.
The handful that matter. Ranked by business impact across every unit, not buried in tabs.
One narrative, one source of truth. The same governed numbers feed every team and every deck.
Confidence to commit. Every figure carries its definition and evidence when the board asks.
"One brief, the whole business. The three moves worth a meeting, with the story already written."
Exec pattern · strategic narrativeThree moves worth a meetingranked
By business impact
Retailconversion · margin+2.1%
Travelbookings · supply-3.4%
Paymentsapprovals · routingstory ready
✓one source of truth · same numbers in every deck
KPI owners & operators
Own the number. Act on it.
You're on the hook for conversion, approvals, bookings, margin. Bicycle tells you the moment your number moves, why it moved, and what to do. You act on the same shift, not the post-mortem.
The morning brief, already done. What moved on your KPIs, ranked, in your language.
The why, attached. First-pass cause with evidence, not a Slack thread and a three-day wait.
A next step, not just a chart. Recommended actions you can take inside guardrails.
"The 'why did this move?' answer shows up with the alert. I act on the same shift, not the recap."
Operator pattern · tactical decisionsWhat moved on your KPIs3 today
Ranked by impact
Conversion -4.2%iOS · mobile checkoutwhy ready
Refunds +1.8%apparelwatching
AOV -0.9%west regionin range
See whyTake action →
Both work from the same numbers, the ones everyone agrees on. Not separate dashboards, side chats, and spreadsheet versions.
Built for your domainSame engine · tuned to your KPIs
Tuned to the KPIs you actually own.
Pre-built use-case packs activate for the metrics where your business actually breaks. You start with answers on day one, not a blank model to build from scratch.
Shopify
→
Campaigns · checkout · stock
Campaign-to-revenue gaps
Cart & checkout drop-off
Discount leakage
Stock availability
Travel
→
Bookings · supply · capacity
Booking drop
Supplier circuit breaker
Seat capacity
Search conversion
Payments
→
Approvals · interchange · routing
Approval tracking
Interchange analysis
Merchant processing
BIN / issuer degradation
Same capability spine, tuned to your domain. Not a separate product per vertical.
Trust & confidenceAct fast · stand behind it
Act fast. And stand behind it.
Every answer you get is one you can defend, because the data team governs the model underneath. You move quickly without going off-book.
One number, everywhere
The figure in your brief is the same one in the exec deck and the board pack. Governed definitions feed every surface.
Evidence, one click away
Answer to source query to evidence. Lineage is always attached, so "why does it say that?" has an answer.
Safe to act
The actions you can take are scoped by the data team, with previews, approvals, and rollback on every one.
Vibe Analytics
See it on your numbers.
Pick one number you care about: checkout conversion, payment success, activation. Connect it, and Bicycle watches that KPI, ranks the likely causes, and hands you a first-pass answer before your next meeting. No data team. No ticket. No waiting.
You do
Pick a KPI you own: conversion, payment success, or activation.
Connect your data: a few clicks, read-only, nothing to install.
Name what "good" looks like: Bicycle takes it from there.
Bicycle does
Watches the KPI across device, OS, channel, region, and segment.
Ranks the likely causes across payments, app & web, pricing, and promo.
Hands you a first-pass answer with the evidence and the wrong causes already ruled out.
No credit card · read-only, nothing to install · you're running in minutes