Real Hotels Group
Guest spend and cancellation-risk forecasting for Real Hotels Group
A tool that turns years of guest history into a spend and cancellation-risk forecast hotel staff can read before arrival, shown next to the most similar past guests.
- Client
- Real Hotels Group
- Year
- Type
- Guest intelligence platform
- Role
- Data pipeline, similarity engine, and product build
Context
Why did Real Hotels Group need this?
Real Hotels Group holds years of guest history and wanted it in front of the teams making daily decisions about spend and cancellations.
Product
What did we build?
Staff enter a guest's profile and get a predicted spend, a cancellation risk, a confidence level and the most similar past guests as supporting evidence.
Experience
What is it like to use?
Each forecast comes with the past stays it is based on. Staff see the reasoning behind every number.
Engineering
How is it built?
Each forecast is built from the past guests most like the one arriving. Any prediction can be explained, and challenged, by looking at those guests. The guest history behind it is checked automatically as it is prepared.
Outcome
What changed?
Staff can plan for each arrival knowing the likely spend and the risk of a cancellation, and can see why the tool expects it.