Office

Viale Europa, 69 – 95027 San Gregorio (CT)

Mail: info@myforecast.it
Phone: +39 095 494395
Mobile: +39 3349289647

How to reach us

Office hours

From Monday to Friday
09:00 – 13:00
14:00 – 18:00

Menu

Office

Viale Europa, 69 – 95027 San Gregorio (CT)

Mail: info@myforecast.it
Phone: +39 095 494395
Mobile: +39 3349289647

How to reach us

Office hours

From Monday to Friday
09:00 – 13:00
14:00 – 18:00

Project: Machine Learning Algorithms for Revenue Management Software

A PhD student from the Department of Mathematics and Computer Science at the University of Catania is embarking on a research and development journey for the project “Machine Learning Algorithms for Revenue Management Software” at MyForecast Revenue Management System’s headquarters.

An agreement between MyForecast and the Department of Mathematics and Computer Science at the University of Catania has enabled the establishment of a co-funded PhD scholarship in Computer Science through the PNRR plan. This research project aims to study and develop innovative Machine Learning algorithms for revenue management systems.

“We are thrilled to have signed such an important agreement with the University of Catania: MyForecast will fund a research scholarship. The goal is ambitious and aligns with the incredible work being carried out by our Project Team,” said Vito D’Amico, CEO & Founder of MyForecast.

The research student will operate at both MyForecast’s offices and the Department of Mathematics and Computer Science.

“Machine Learning technologies have revolutionized traditional methods of analyzing business data to infer insights valuable to management. This project aims to develop advanced Artificial Intelligence algorithms capable of supporting managers by generating future projections for revenue management,” commented Prof. Giovanni Maria Farinella, DMI Unict.

This groundbreaking initiative strengthens MyForecast’s position in the present, elevating its revenue technology to the highest levels to provide revenue managers with an unparalleled product in the RMS market.