Hotelsoft launches "Price Optimizer - I can't believe it's not an RMS"
The machine learning programming (MLP) driven rate recommendation engine takes the competitive rate information from the hotel’s true compset and can be up and running in under an hour..
Hotelsoft Inc. (www.hotelsoft.com), a Silicon Valley startup focused on the hospitality industry has launched an easy to implement rate recommendation SaaS product called "Price Optimizer – I can't believe it's not an RMS" targeting independent, midscale and budget properties.
"This product complements Hotelsoft One platform, which is the company's flagship product. While Hotelsoft One is what we call as the Ferrari of revenue management systems, with features comparable to any leading system in the market today, Price optimizer answers the need of hotels who do not want an expensive and involved RMS", said Vish Bhatia, co-founder of Hotelsoft.
It's tongue in cheek tag line "I can't believe it's not an RMS" underscores the system's capability to provide almost as good price points as any traditional revenue management system, but without the extensive implementation and the costs involved.
"Price Optimizer also offers select OTA rate shops at no additional costs", said Vish Bhatia, "so if you have a traditional rate shop, you can ditch that and upgrade to a pricing software with the rate shop included".
Hotels can try Price Optimizer for free for 14 days and can sign up at http://www.hotelsoft.com/choose-plan
Hotelsoft Inc. is a San Francisco Bay Area startup focused on developing innovative, disruptive and integrated software for hospitality industry on latest technologies. It has corporate offices in Fremont, CA and a development center in Bengaluru, India.
Hotelsoft One is a cloud based integrated Revenue Management, Business Analytics and Rate Shop software that uses "Intelligent Pricing" big data and machine learning algorithms. The cutting edge platform incorporates organic demand of the hotel with external demand influencers such as compset pricing, airfare, city events, TripAdvisor ratings and other third party data to make smarter pricing decisions for hotels.