notitur.com August 24, 2026

AI and automation

Machine learning

Machine learning is the part of AI where the system improves by itself from data, without anyone coding every rule. It finds patterns in the booking history and tunes its predictions as more information arrives. It is the technique under most of what is sold as AI today.

Example The pricing engine learns that January Tuesdays sell themselves and stops discounting them.

Related terms

AI and automation

Predictive analytics

Predictive analytics uses historical data and models to estimate what will happen, not just report what did....

 Revenue

RMS

A revenue management system uses demand, competitor and booking data to recommend the optimal price for each...

 Revenue

Dynamic pricing

Dynamic pricing adjusts rates in real time based on demand, competition, lead time and other factors. Instead...

 AI and automation

Agentic AI

Agentic AI is a system that does not just answer, it acts on its own to reach a goal. It searches, compares,...

Articles that mention this term

FAQ

What is machine learning?
Machine learning is a subset of artificial intelligence where systems learn patterns from historical data without being explicitly programmed with fixed rules. For instance, an algorithm can analyze millions of hotel bookings to predict occupancy for the upcoming month.
How does machine learning work in hospitality?
The algorithm is trained on past data such as dates, prices, and cancellations, and it adjusts its predictions as new information arrives. If a hotel introduces a last-minute deal, the model automatically recalculates the expected demand.
What is machine learning used for in travel?
It is used to personalize recommendations, optimize dynamic pricing, and forecast booking cancellations. Unlike a rule-based system, machine learning improves on its own with more data without constant human intervention.

Explore the glossary

More terms with the letter MSee all terms

Notitur is an independent digest. It is not the official site of any brand mentioned. Content is editorial and produced with AI assistance and editorial review, and may contain errors. Verify anything important with the original source. This is not financial, legal or investment advice. Some links or blocks may be sponsored or affiliate. Trademarks belong to their owners. You can unsubscribe at any time with one click, and you can request access or deletion of your data at notitur.com/contact.

⚙ Admin