HOSPITALITY · COMMERCIAL ANALYTICS
Over £20m of revenue impact, fixed in the pricing algorithm.
Revenue impact identified and resolved through pricing changes.
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The situation.
A UK hotel chain wanted to test two vendor revenue management systems against its in-house RMS through a structured experiment, and needed to define the experimentation logic and how the results would be monitored.
The process.
We defined the logic to test the experiment's primary criterion, the uplift observed for vendor systems versus the in-house RMS, and worked with the client's data science team to define KPIs that track differences between groups. We delivered uplift-testing code with supporting documentation, purpose-built dashboards, and a strategic business case laying out the key risk-based decisions.
The outcome.
Key stakeholders had a clear view of the decisions involved at each experiment stage, and the experimentation logic and reporting gave them a structured path forward.
MORE WORK
Other engagements.
HOSPITALITY · COMMERCIAL ANALYTICS
A ten-year size of prize for revenue management.
A clear, agreed size of prize for revenue management investment.
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HOSPITALITY · COMMERCIAL ANALYTICS
An IDeaS setup tuned to a non-hotel booking pattern.
Now significantly ahead of the wider accommodation market post-recovery.
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