We utilize IBM’s cognitive computing technology including machine learning AI, deep learning, natural language processing, image recognition AI
At IBM WATSON SUMMIT 2017 on April 27th and 28th, CEO Tanaka will discuss about artificial intelligence technology with IBM’s Chief Developer.
Thorough analysis of guest’s “booking behavior”
“Competitors’ room price”, “number of reviews”, “photos of rooms”, “information of vacation rental properties” – All these are important factors that influence the guest’s decision in choosing accommodation facilities. metro engine collects big data related to these “booking behaviors” every day, and estimates optimal room price using artificial intelligence and machine learning processing. Revenue management that relies on historical data analysis has limitations, since demand and supply fluctuate every year/day, due to numerous inconsistencies such as the timing of Chinese New Year / Cherry Blossom, sudden change of event schedule, to name a few.
No need to read past data
For traditional revenue management tools to function, reading past data is essential. However, we believe that it is not possible for such backward looking methods to verify whether the past room price was appropriate at all. And considering recent changes in industry dynamics such as the rising popularity of vacation rental accommodations, setting room price based on historical data will lead to opportunity loss. metro engine calculates future prices using “real time” data, so you can instantaneously grasp competitors’ pricing strategy as well as trends by city or prefecture.
It does not require cumbersome information input
Using metro engine does not require complicated input of information such as the address or the number of rooms. It is automatically entered from our database of more than 35,000 facilities in Japan.
Connectivity with site controllers / PMS
By linking with site controllers and PMS, it will be possible not only to make any analysis related to revenue management, but also to use metro engine while keeping the existing systems. (coming soon)