Maximize your revenues with automatic price optimization.
Increasing the revenues of hotels by automatically setting the right price at every given moment, for every given channel and for every room type. This is achieved by our proprietary artificial intelligence algorithms analyzing all available data (market demand, competitor prices, historical data, current booking situation etc).
There will be two pricing modells, one fixed fee with a capped uplift and one premium offer that will deliver higher income for the customer, the premium offer is based on a revshare modell.
The product connects to your PMS through API's which means that it is a very straight forward process of getting started.
The product is currently under development in close co-operation with some of the major players in the hospitality business. We expect to release the product to the open market in September 2017, but if you are eager for a solution to your pricing problems then get in touch with us now.
Founder / CEO
15+ years of experience as entrepreneur. Founded Admeta in 2002 which became proven world leader in automatic optimization of online advertising for publishers (Admeta was acquired by Wide Orbit in 2014). Studied at Chalmers University of Technology.
+ 46 707 23 33 50
Founding Partner / Chairman of the board
Long experience with venture capital and startups. Active partner in Layline Partners AB and More Ventures AB. Chairman of the board in Stylt Trampoli AB, the concept and design agency for hotels and restaurants. AI experience on board level with ICU Intelligence and Admeta, both companies sold to international venture.
+ 46 704 31 21 77
Mattias has worked with venture capital, start-ups and business development in various settings. He is currently Investment Director at Fouriertransform, and has previously acted as investor at e.g. Layline Partners and Bure Equity, and as management consultant at McKinsey & Co.
+ 46 704 31 21 77
Gustav has been working as a software engineer, data scientist and technical lead for over 10 years. His main focus has been on building highly scalable cloud-based solutions for Big Data and Machine Learning applications. Examples of projects he has been involved with relates to financial forecasting, web crawling, recommendation systems and predictive marketing automation.
Developer specialized in machine learning and data processing. Graduated from Chalmers in 2006 after completing the master program Complex Adaptive Systems. Has worked with software development for ten years for several startups, where the most recent domains have been retail, gaming and satellite data.
Mårten worked with companies of various sizes and maturity, from Microsoft and Ericsson to startups. Is equally interested in functional programming and assembly programming. Believes that reading existentialcomics.com once a week qualifies him as a postmodern philosopher-developer.
+46 709 86 46 91