The travel management platform, CWT, and an AI predictive analytics company, ZYTLYN Technologies, have embarked on a pilot initiative to predict forthcoming travel demand to and from specific routes. Overlaying CWT historical booking patterns onto ZYTLYN’s AI-driven Prediction Platform, the pilot aims to provide micro and macro level demand forecasting insights, allowing CWT to make decisions about future supply requirements, capacity planning and resource management. Patrice Simon (left), chief technology officer of data and analytics at CWT, said: “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-customised product, service and experience mix relevant to the individual traveller’s current and near future needs.” Houman Goudarzi (right), co-founder and CEO of ZYTLYN, commented: “It is an ideal time to leverage new proven technologies that provide data driven predictability to uplift revenues, lower costs and build more resilience.” CWT and ZYTLYN’s pilot agreement will begin February 2022 and will initially run for three months.
CWT and ZYTLYN Technologies align to forecast customer travel demand
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