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Half a percent a day looks like noise. Over eight weeks it is real revenue.

Bicycle reads hotel booking trends week over week, detects slow declines that never trip a daily alert, and splits them into causes your team can fix.

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Before

A small daily rise in failed bookings never trips an alert. At an online travel agency, a 0.5% daily increase was found to add up to 5–10% of revenue over 6–12 weeks.

With Bicycle

Sustained declines are detected in the weekly trend, with drops at individual hotels flagged daily, each split into causes you can and cannot control.

What happens when a KPI moves.

  1. 01

    Detect

    A sustained decline appears in the weekly trend, and a drop at one hotel is flagged that day.

  2. 02

    Explain

    The failure is split by category, such as inventory, system, payment or fraud, and by channel, region and supplier.

  3. 03

    Act

    Bicycle recommends the next step on what is fixable: revenue operations contacts the hotel or supplier, and the alert quiets once the trend reverses.

  4. 04

    Learn

    Repeat problems surface for a lasting fix and shape supplier reviews.

Everyone can ask. Data & Analytics controls what gets trusted, published, and acted on.

Runs on
  • Booking events
  • Hotel and inventory data
Used by
  • Revenue operations
  • Hotel revenue
  • Analytics

Common questions

How do you tell a slow decline in hotel bookings from day-to-day noise?
Bicycle fits gradient-based trend lines to each hotel's failure rate and confirmed bookings over several weeks, and flags properties and segments where the decline is real and sustained. For daily drops, Bicycle compares today with yesterday, the day before and last week, and tracks how often a hotel has alerted recently to surface repeat offenders.
What hotel data does Bicycle break a decline down by, and what does the team receive?
Bicycle comes with the hotel booking model already in place: supplier, GDS, channel, geography and advance-booking window, plus the failure categories. Every Monday morning, Bicycle sends revenue operations an email report with a KPI summary, a short-term diagnostic and the long-term trend, each with links to drill into the detail.
Which hotel booking failures can my team actually fix?
Bicycle separates controllable failure categories, such as inventory configuration and availability, from ones your team cannot control, such as system errors, payment issues and fraud. Your revenue operations team contacts hotels or suppliers on the controllable issues, and Bicycle's governed guardrails suppress the alert once the corrective action shows the trend reversing.

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.