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VI Call for Startups

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

Challenges

Operational Efficiency with Quantum Computing Challenge

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:

  1. Route optimization using quantum algorithms that consider a vast number of variables and constraints in real time.
  2. Development of quantum encryption systems that are virtually invulnerable to traditional computer attacks, thus guaranteeing the protection of critical data and the integrity of railway operations.
Winning Startup

Railway Maintenance Automation and Digitalisation Challenge

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:

  1. Systems for inspecting the health status of vehicles, related to comfort, video, Wi-Fi, or any other component, using QR codes or any other type of code that passengers can report.
  2. Solutions that allow for calculating the "health" of a vehicle and predicting potential breakdowns, using any mobile device.
  3. Solutions that enable the management and traceability of repairable and non-repairable parts of all rolling stock, through the digitization of processes throughout the entire lifecycle of these parts.
  4. Systems that allow access to a vehicle's activity history through its UIC number.
  5. Implementation solution for a central information transfer control system between systems.
  6. Interactive inspection systems via mobile devices to automate manual inspections performed by technicians.
  7. Digitization of inspection forms.
  8. Solutions to facilitate data capture by operators in production processes (maintenance, inspection forms, controls, etc.) using voice recognition technologies, cognitive automation data capture, robotic process automation, etc.
Winning Startup

Improvement of Real-Time Customer Information Challenge

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:

  1. Solutions that provide instant updates on service status, changes to boarding platforms, estimated arrival and departure times, and personalized alerts based on the user's route and preferences.
  2. With onboard information integrating screens and interactive devices, offering real-time data about the journey, including details on upcoming stops, transportation options at the destination, and updates on rail traffic conditions.
  3. For occupancy management, informing passengers about seat allocation in real time, recommending less crowded locations, and thus optimizing comfort and passenger flow.
  4. Two-way communication solutions allowing customers to interact with Renfe in real time, providing instant feedback and receiving quick answers to their queries or problems during the journey, with a comprehensive approach of actively listening to our customers.
Winning Startup

AI-Based Transformation of Customer Service in Stations Challenge

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:

  1. Virtual assistants and conversational AI to solve problems and provide real-time information directly at service stations.
  2. Predictive data analytics to anticipate customer needs and behavior at service stations.
  3. Omnichannel solutions that include everything from point-of-sale interactions to messaging and social media applications.
  4. Automation for administrative tasks.
  5. New forms of personalized communication with customers.
Winning Startup

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