Climber RMS

climberrms.com

Climber is a Revenue Management Software (RMS) for small hotel chains. We provide intelligent pricing for the hospitality industry, helping hotels maximize revenue with an automatic and self-learning software that detects opportunities and takes immediate actions. Climber taps into a hotel’s existing reservation system and puts its machine learning to work by not only considering the historical data of the hotel but also the market demand (air traffic, local events, weather forecast, online reputation). We have an exceptional team of 14 strong individuals (9 nationalities) with complementary skills from Data Science, Engineering, Sales to Marketing. Everyone is operating in-person from our offices in Lisbon. A complimentary mix of hustling, Revenue Management expertise, and Data Science/Mathematicians. There is a growing demand for accommodation globally, and that's particularly obvious in most city hotels that are often fully booked. Managing the existing inventory and maximizing profit is a key challenge for small hotel chains today since technology has had limited impact. From the software stack perspective, a hotel typically should use three types of software (PMS + Channel Manager + RMS), and we understood that for hotels that have the need to optimize their revenue, it's impossible without data-driven software. We understood as well that there is a big gap in the hotel space since small hotel chains don't have access to accessible Revenue Management Systems. Due to the lack of financial capacity and know-how on how to use the current complex and expensive Revenue Management Systems on the market, small hotel chains end up doing daily analysis on spreadsheets that are both time-consuming and information-poor, resulting in making decisions that leave hotels running below their full revenue potential. Climber tackles the needs of small hotel chains by providing an accessible solution that is easy to use, fast to integrate, and automated, replacing the manual labor on daily analysis and reporting that before was costing the hotels a massive amount of time.