CWT, the Business-to-Business-for-Employees (B2B4E) travel management platform, and AI predictive analytics company ZYTLYN Technologies have embarked on a pilot initiative to effectively predict forthcoming travel demand to and from specific routes as well as at a global level. Overlaying CWT historical booking patterns onto ZYTLYN’s unique AI-driven Prediction Platform, the pilot will provide micro and macro level demand forecasting insights, allowing CWT to make astute decisions about future supply requirements, capacity planning and resource management.
“Being able to accurately predict travel demand in near real-time, whilst complex, fluid contextual factors such as COVID are at play, enables CWT to be even more intuitive in its customer offer, ensuring a highly-customized product, service and experience mix relevant to the individual traveler’s current and near future needs,” said Patrice Simon, CWT CTO Data and Analytics.
“We are excited to support CWT, one of the world’s biggest travel platforms and brands. While business travel is recovering fast, it is an ideal time to leverage new proven technologies that provide data driven predictability to uplift revenues, lower costs and build more resilience” said Houman Goudarzi, ZYTLYN’s Co-Founder & CEO.
CWT and ZYTLYN’s pilot agreement will begin February 2022 and will initially run for three months.
About CWT
CWT is a Business-to-Business-for-Employees (B2B4E) travel management platform. Companies and governments rely on us to keep their people connected – anywhere, anytime, anyhow – and, across six continents, we provide their employees with innovative technology and an efficient, safe, and secure travel experience.
About ZYTLYN Technologies
ZYTLYN Technologies is a predictive analytics and AI company, helping customers address their most urgent retailing and eCommerce problems and opportunities with granular, qualified, and actionable predictive insights. Its Prediction Platform gives customers the ability to optimize decision making through predictive demand, competitor, consumer, market insights.