Real Hotels Group
Guest Revenue & Risk Forecasting
Turns years of guest history into a spend and cancellation-risk forecast staff can read before arrival, with the most similar past guests shown alongside it.
- Client
- Real Hotels Group
- Year
- Type
- Guest intelligence platform
- Role
- Data pipeline, similarity engine, and product build
- Views
- 611
Context
Why did Real Hotels Group need this?
Hotel teams sit on years of guest history but plan spend and risk by intuition. RHG wanted that history in front of the people making daily decisions.
Product
What did we build?
A guest-intelligence tool: staff enter a guest's profile and get predicted spend, cancellation risk, a confidence gauge, and the most-similar past guests as evidence.
Experience
What is it like to use?
Predictions come with their reasoning attached. Staff see which historical stays drive each forecast, not just a number.
Engineering
How is it built?
It works by finding the guests who most resemble the one in front of you and reading what those guests did. That makes every answer explainable. You can see which past stays produced it, and disagree with it for a reason. Several hundred automated tests cover the process that builds it.
Outcome
What changed?
In development: the pipeline, similarity engine and app are built, and prediction quality is being validated against more months of data before rollout.