Most booking alerts are noise. What if each one had to prove itself first?
Bicycle tests every booking anomaly against year-over-year patterns and known supplier shifts before it reaches anyone, so the alerts that arrive are worth reading.
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Bookings move every day. Most moves are seasonality, a holiday or a known supplier change. An alert that fires on every move trains the team to ignore it, and the one that mattered gets muted with the rest.
Each candidate driver is tested before an alert fires, and sensitivity is tuned with the team.
What happens when a KPI moves.
- 01
Detect
A booking KPI moves in one segment, and candidate drivers are found underneath it.
- 02
Explain
Each driver is tested against year-over-year patterns and supplier shifts; the ones that explain the move away are ruled out.
- 03
Act
Only an anomaly that survives reaches the analytics team, with its evidence, and Bicycle recommends where to look first.
- 04
Learn
Alert thresholds are tuned with the team, and longer history sharpens the tests.
alerts reached the team after tuning, each one tested first
Seen at: Priceline.
Everyone can ask. Data & Analytics controls what gets trusted, published, and acted on.
Common questions
How do you stop booking anomaly alerts from firing on seasonality?
How many anomaly alerts will my team get?
More on orders and bookings
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.