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soliDPS
AI-based Hotel Revenue Management System
Team:
Max Biocca (B.Sc. Business Administration),
Johan Lind (M.Sc. Finance),
Eric Sörqvist (B.Sc. Mechanical Engineering and Design),
Joschua Mackenna (B.Sc. Civil Engineering)
Sector:
Tourism, Artificial Intelligence
Mentor:
Prof. Dr.-Ing. Thomas Sikora
Faculty:
Faculty IV - Electrical Engineering and Computer Science
Institute of Telecommunication Systems
Chair: Communication Systems Group
Support:
Berliner Startup Stipendium: 01.11.2018 - 30.10.2019
The AI that drives hotel occupancy and revenue.
Our idea
Market research and revenue management are exceptionally problematic in the tourism industry. Hour-long sessions of yawning receptionists scrolling through online travel agencies and competitor hotels.
soliDPS is perfecting an artificial intelligence to take over this unrewarding drudgery and deliver clear, comprehensive information. With its expansive wealth of data, ranging from hotel prices to future and current events and a dash of macroeconomics, soliDPS provides hotels with precise pricing and wide-reaching forecasts, and puts guests back in the spotlight.