A supplier starts failing at peak. How many bookings do you lose before someone switches it off?
Bicycle recalculates booking success for every supplier every few minutes, detects a failing one, and recommends moving traffic away from it.
No credit card required
When a supplier degrades, every booking attempt through it fails until someone notices and acts. At peak, that gap costs bookings by the minute.
Degradation is detected within minutes, with the error type and the revenue at risk, and the supplier can be taken out of rotation automatically, within limits your team sets.
What happens when a KPI moves.
- 01
Detect
Booking success for one supplier drops below its threshold.
- 02
Explain
The provider's error type is named, with unique failures separated from retries and the revenue at risk.
- 03
Act
Bicycle recommends removing the supplier and shifting traffic; the switch can run automatically within limits your team approves, logged and reversible, and commercial and operations are alerted.
- 04
Learn
Supplier history feeds thresholds, supplier negotiations and partner priorities.
booking success recalculated per supplier, carrier and city
Seen at: Priceline. Read the case study
Everyone can ask. Data & Analytics controls what gets trusted, published, and acted on.
Common questions
How do you tell a failing supplier from normal variation in booking success?
What systems does an automatic supplier switch connect to?
Who is told when a supplier is switched off, and who follows up?
More on success and approval rates
See it on your own KPI.
Bring one revenue-critical KPI. We'll show how Bicycle detects the movement, explains the cause, and recommends the next step.
