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Within rail, AI provides the opportunity for dynamic and demand responsive train services to be provided in real-time. This impact would vastly improve train services for customers.
The AI computer creates a new railway timetable in the second stage to match rail capacity with the anticipated demand identified in the first step. On a daily basis, its algorithms would schedule trains, personnel, and maintenance tasks in the most effective way possible to reduce costs for the rail industry (and, consequently, consumers) while enhancing services for customers.
The greatest technology for this is artificial intelligence (AI), which can learn how the intricate network of train tracks not only functions but also reacts to service interruptions, maintenance needs, and unforeseen events like bad weather, point failures, or trespassers.
The Germany Railway AI Market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
The largest rail operator in Germany, Deutsche Bahn AG, has developed a smart travel assistant service that employs artificial intelligence (AI) to promptly respond to client questions through text message in an effort to reduce the stress associated with travelling.
IBM Watson Assistant, a platform for creating AI solutions, was chosen by DB Dialog and DB Systel to support the service. The company spent six weeks creating the DB Reisebuddy virtual assistant and training it to recognise and reply to typical client inquiries after combining Watson Assistant with DB Dialog’s customer relationship management (CRM) system, the repository for customer messages.
To aid travellers before, during, and after their train trips, DB Reisebuddy is now available. Based on its comprehension of the questions posed, the virtual assistant suggests answers. Human customer support representatives then review, amend, and transmit the suggested answers by SMS or web chat.
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