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IBM Travel Manager

Product
The name of the base system (platform): IBM Watson
Developers: Travelport, IBM
Date of the premiere of the system: 2018/09/20
Branches: Tourism, hotel and restaurant business
Technology: BI

2018: Representation of IBM Travel Manager

On September 20, 2018 the Travelport company jointly with the strategic technical partner provided to IBM IBM Travel Manager — the platform based on artificial intelligence using which the companies can manage corporate expenses on business trips of employees.

This platform is available through a cloud service of IBM Cloud and uses possibilities of IBM Watson for intellectual monitoring, management, the forecast and the analysis corporate a travel expenses. It will help to change radically process of management of corporate trips and to optimize them.

The provided platform works based on advanced artificial intelligence and executes cognitive calculations with predictive analysis data according to scenarios "that if". Using the integrated information on trips and expenses, IBM Travel Manager helps departments of management of business trips, managers on supply, structural units, financial and to HR divisions to optimize programs of business trips, it is better to control expenses and to increase quality and convenience of the organization of trips to their participants.

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The IBM Travel Manager platform with data of Travelport is not similar to one traditional solution for expense control on business trips which is proposed by the companies on management of trips, suppliers, corporate services of armoring and other organizations. Other solutions process the separate outdate data while IBM Travel Manager integrates and optimizes information from all key sources, allowing to achieve the best results and better contrastive analysis.
Fiona Shanley, account director and to Travelport marketing
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The IBM Travel Manager platform includes an interactive intuitive dashboard. It displays all expense data on trips, allows to create warnings and notifications, carries out predictive expense analysis on trips and also the analysis by the set parameters. The dashboard supports a natural language that allows to use it for the analysis of the text and extraction of useful information from the structured and unstructured data.