Tag Archives: IBM Travel Manager

Travelport and IBM have introduced IBM Travel Manager, an industry-first AI platform designed to help business manage corporate travel spend. Delivered via the IBM Cloud, the platform uses IBM Watson capabilities to track, manage, predict and analyse travel costs in one place to fundamentally change how companies manage and optimise their travel programmes. With annual global business travel spend estimated to reach a record $1.2 trillion this year, as projected by the Global Business Travel Association, corporate travel managers continue to look for new ways to reduce costs. Currently for businesses to get a full picture of travel patterns a travel manager might have to sift through data silos from travel agencies, cards, expense systems and suppliers for end-to-end visibility of spend and compliance across all travel subcategories but this is usually undertaken in a historical view rather than in real time. The new platform features advanced artificial intelligence, and provides cognitive computing, predictive data analytics using “what-if” type scenarios, and integrated travel and expense data to help travel management teams, procurement category managers, business units, finance and human resource departments optimize their travel program, control spend and enhance the end-traveler experience. IBM Travel Manager gives users complete, unified access to previous siloed information, which, when combined with travel data from the Travelport global distribution system (GDS), is then used to create real-time predictive analytics recommending how adjustments in travel booking behavior patterns can positively impact a company’s travel budget.

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