While waiting to seal his union with American Express GBT, CWT is looking after its technological endowment. And as it is now impossible to venture into this field without being confronted with AI, TMC is also announcing new functionalities powered by artificial intelligence, designed by ThoughtSpot. With ambitious promises in terms of reporting, it will be possible to manage its travel policy much more precisely - and with greater responsiveness.
" The integration of these enhanced AI capabilities into our Analytics reporting solution is revolutionising the way our customers interact with their travel data. "says Erica Antony, Chief Product Officer at CWT. " By enabling natural language queries, we simplify the process of discovering critical information, enabling businesses to make informed decisions quickly and with confidence. This enhancement underlines our commitment to harnessing cutting-edge technologies to create value for our customers. ".
The use of natural language - instead of keywords - is indeed one of CWT's strong points. CWT cites a number of queries by way of example, which travel managers will be able to formulate naturally in the tool: "What were the average CO2 emissions for international flights taken by travellers in Germany last year?"; "How has the rate of adoption of online services in India changed between 2022 and 2024? Use a bar chart"; or "Show me a list of travellers who are currently in Minneapolis, Minnesota, USA".
As well as ensuring smoother communication between man and machine, CWT's use of the range of solutions developed by ThoughtSpot promises to deliver greater precision and responsiveness in the management of its travel policy. CTW promises to provide information in near real time, with advanced data analysis and simple, clear reporting. Another of the tool's strong points is the ability for users to customise formats, or provide their own tables to point out unexplained changes. It's then up to the AI to explain why online adoption rates have fallen sharply, and why carbon emissions are soaring.
Last but not least: the tool learns from its users and their needs. Based on a given comment or query, the AI model will train itself, according to CWT, to better understand the user's intentions and provide more precise and personalised responses each time it is used.
