Integrates with RateGain’s Advanced Revenue Management Product, FerryGain, to Receive Accurate Forecasting and Pricing Recommendations
RateGain Technologies, the market leader in BI, distribution and revenue management, for travel and hospitality industry, today announced its strategic partnership with Condor Ferries, one of the leading operators of passenger and freight ferry services, to streamline and enhance their revenue management capabilities. The integration with FerryGain would allow the ferry services operating company to accurately forecast the demand of their sailings and receive effective price recommendations by way of data, reports, and alerts. This partnership is part of Condor’s digital strategy to improve customer experience and forecast demand.
Commenting on the development, Apurva Chamaria, Chief Revenue Officer, RateGain, says, “Condor Ferries is a forward-looking player and is investing in providing a seamless experience to its customers. RateGain is proud to collaborate with an innovative leader. FerryGain is our new age, ML & AI backed revenue management solution for ferries and cruise operators
The easy-to-use interface (UI) of FerryGain would facilitate Condor Ferries with robust analytics and Business Intelligence (BI) reports and would provide filters to choose sailing dates, vessels, etc. for forecasting and price recommendation.
Kerry Jalie, Condor Ferries’ Head of Change Management & Development, said: “Condor’s pricing model is complex as it requires daily, weekly, monthly and seasonal variations in seat inventory together with historic data to allow for accurate forecasting and revenue optimisation. We selected RateGain Technologies for their proven experience and expertise in the travel industry and are delighted to be the launch customer for their FerryGain system. We are very confident that our partnership will prove beneficial for Condor’s business.”
FerryGain is a new age revenue management tool designed specifically for the ferries, to provide them with accurate forecasting and pricing insights using various advanced Machine Learning techniques. By integrating with the booking engine, it also offers price recommendation alerts and allows users to provide feedback on the price recommended.
About Condor Ferries:
Founded in 1964, Condor Ferries is an operator of passenger and freight ferry services between the United Kingdom, the Channel Islands of Guernsey and Jersey and Brittany in Western France. The company runs the high-speed ferries, Condor Liberation, and Condor Rapide. It also operates Commodore Clipper, a conventional car, passenger and freight-carrying vessel, and Commodore Goodwill, a freight-only ship. Each year, Condor Ferries carries around 800,000 passengers and 200,000 passenger vehicles. The company is also an active member of the communities within which it operates and supports numerous organisations, sports, and charities through sponsorship and travel.
For more information, please visit www.condorferries.co.uk
RateGain is a leading provider of cloud-based innovative solutions for the Travel and Hospitality Industry. RateGain provides the latest technology in rate intelligence, price optimization, seamless electronic distribution, and brand engagement. Founded in 2004, RateGain has 12,000 clients around the globe including hotels, online travel agents, airlines, car rental companies, cruise liners as well as tour operators and wholesalers like IHG, Melia Hotels International, Lufthansa, Expedia, Hertz Corporation, Priceline.com, Carnival Cruise, etc. RateGain processes over 20 billion data points daily from more than 1,000 sites to provide value every day. In 2018, RateGain acquired DHISCO to become the leading, comprehensive travel and hospitality technology distribution platform. Through our unwavering commitment to excellence and our guiding principles, we help hospitality and travel companies make more revenue every day. For more information, please visit https://rategain.com/
RateGain: For further details, please contact:
Aditi Bhandari, Senior Manager – Marketing
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