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Operational efficiency with Quantum Computing, Railway Maintenance Automation and Digitalisation, Improvement of Real-Time Customer Information, and AI-Based Transformation of Customer Service in Stations
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We were seeking quantum computing-based solutions to address RENFE's critical challenges, particularly in optimizing schedules and routes, efficiently allocating resources such as trains and crew, and strengthening cybersecurity. These solutions should not only increase efficiency but also to improve safety and the passenger experience by implementing quantum algorithms that enable faster and more accurate decision-making.
Illustrative examples of potential solutions:
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We were looking for innovative technology projects in the field of railway manufacturing and maintenance, focused on digitalization and the incorporation of new Industry 5.0 technologies (IoT, Big Data, asset management, process digitization, augmented reality, additive manufacturing, machine vision, etc.).
Illustrative examples of potential solutions:
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We were looking for innovative technological solutions that improve the customer experience by providing real-time information before the start of the journey, on board the trains, and/or after the journey.
Illustrative examples of potential solutions:
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We were looking for innovative technological solutions that transform the customer service system into stations, turning it into a comprehensive and efficient service center. These solutions must leverage advanced AI capabilities to offer fast, personalized, and effective responses to passengers, significantly improving interaction and proactively addressing their needs.
Illustrative examples of potential solutions: