Web intelligence company Lixto Software has launched new Hotel Online Market Intelligence solution, designed to be used by revenue and pricing managers in online travel companies to increase revenue and profit through higher average daily rates and higher occupancy levels.

Published: 28 Mar 2008

Web intelligence company Lixto Software has launched new Hotel Online Market Intelligence solution, designed to be used by revenue and pricing managers in online travel companies to increase revenue and profit through higher average daily rates and higher occupancy levels.

With this solution, rate parity checks on different distribution channels can be automated leading to a more stringent execution of the pricing strategy and distribution agreements.

Jason Houle, VP of Travel Solutions, Lixto said the solution provides better understanding of online markets and competitive offerings, getting product information on the most granular level including product attributes such as property name, star rating, occupancy scenarios, room type, rate type, room rate, arrival and departure dates, meal plans, taxes, service fees and even cancellation policies.

"This allows for very accurate comparison across the peer group und ultimately leads to better pricing decisions," said Houle.

Lixto Online Market Intelligence is based upon the company's web data extraction technology that has been designed to access, augment and deliver content and data from highly dynamic web applications that utilise client-side processing techniques such as JavaScript, AJAX and dynamic HTML. This allows for fast reactions to changes in the online channels and ensures continuous service and superior data quality. On top of the data store, Lixto uses enterprise-class reporting infrastructure to provide all necessary reports and analytics to enable an efficient identification of market opportunities that are most relevant for day-to-day business. Important market events are highlighted, and reports customised to show exactly the market data that are of most interest to individual users.