TradSNCF: AI to help rail staff welcome Olympic Games travellers

| minute read

TradSNCF, rail operator SNCF’s AI-powered translation tool, enhances the travel experience for millions of passengers from around the world by ensuring smooth communication and optimal traveller information during and beyond the Paris Olympic and Paralympic Games.

TradSNCF, the AI-powered instant translation tool
[Speaker 1] Laaziz Aouaa - Project Manager, Digital Department, SNCF Group:

"AI is at the heart of TradSNCF, a solution that will enable our agents to communicate in over 130 languages to welcome foreign visitors expected at the Paris Olympic and Paralympic Games."

[Title] Sopra Steria Stories

[Speaker 1] Laaziz Aouaa - Project Manager, Digital Department, SNCF Group:

"The SNCF Group runs almost 15,000 trains every day, throughout the country.  In the Île-de-France region, we manage just over 6,000 trains and transport an average of 3.4 million passengers a day.
It is the second largest rail transport network in the world after Tokyo.  If we zoom in on the Paris Olympic Games, 15 million visitors are expected to attend, including 2 million non-French speakers from 200 different countries.
The SNCF's aim is to make travel easier for all its customers. It looked for an efficient and industrial way to address the needs of people on its premises, whatever their language.
Equipping all customer-facing staff with this tool will be a major asset in enabling our agents to help welcome, guide and inform passengers on our trains and in our stations."

[Speaker 2] Lionel Falvy - Change Manager, PULSIV :

"Developed using AI technology, TradSNCF is an instant translation solution, very ergonomic and easy to use. Passengers at the station or on board can ask a question in any language they wish and this is automatically translated into French for the agent, and the agent's response is provided in the language of the other person.
It's distilled innovation, but not only because the algorithms have been trained to respond as effectively as possible to situations encountered in stations. The solution incorporates language specifically adapted to railways to avoid any misinterpretation. And it's all available on smartphone for easy use in the field."

[Speaker 1] Laaziz Aouaa - Project Manager, Digital Department, SNCF Group:

"Sopra Steria is a key partner in this project. Their knowledge of our businesses, their expertise in AI and their ability to deploy cutting-edge solutions within tight deadlines, were decisive factors.
TradSNCF gives our 50,000 agents a translation solution that provides support that is as close as possible to the needs of our customers before, during and after their trip.This project fully reflects the SNCF's determination to meet the needs of its customers, foreign customers in this example.
It's a fine illustration of our ability to innovate that will remain as a "legacy of the Olympic Games".
TradSNCF will assist all customer relations staff and make it easier for them to help customers, the 80 million foreign tourists who visit France every year."

[End screen] Sopra Steria, the world is how we shape it.

 

Welcoming the Olympic and Paralympic Games in Paris is a great pride for the SNCF, but it poses significant logistical challenges, particularly in terms of mobility and traveller information.

For SNCF, this event is a unique opportunity to accelerate its innovation programmes and sustainably improve the travel experience.

 

AI-powered passenger traffic management

Each year some 80 million foreign tourists visit France, many of whom do not speak French. This is what lead the SNCF to launch its project, to facilitate the mobility of all its customers, regardless of their language.

In stations, time and efficiency are crucial, both for travellers who want to reach their destination without obstacles and for SNCF staff who need to ensure the smooth flow of passengers.

These two objectives can now be achieved with a quick and effective translation tool deployed to all 50,000 customer service staff.

TradSNCF is an instant translation solution that is very ergonomic and easy to use. It has been developed using the best AI translation technologies.

It is a beautiful illustration of our capacity to innovate, which will remain as a 'legacy of the Olympic and Paralympic Games'.

Laaziz Aouaa

Project Manager, Digital Department, SNCF Group

The idea is simple: a traveller at a station or on a train asks a question in their language, it is automatically translated into French for the staff, and their response is returned in the traveller’s language.

TradSNCF is a concentration of innovation, equipped with algorithms specially trained to best respond to the huge variety of situations encountered in stations. 

The solution allows dialogue in 130 languages. It includes over 3,000 words or expressions related to the railway and transport domain in the most common languages, to avoid any misinterpretation. It is available on mobile devices, smartphones, and tablets.

Sopra Steria masterminding development

Sopra Steria Next supervised the programming, customisation, user experience, and ergonomic aspects of the solution's development, as well as its deployment, while ensuring the training of SNCF teams and change management.

The solution was developed in less than six months, thanks to a previous collaboration with France Travail and the creation of TradEmploi, a multilingual welcome tool for job seekers developed by Sopra Steria in Open Source.

To choose the best solution, SNCF conducted an experiment to compare TradSNCF's performance with other available tools on the market. This experiment took place during the Rugby World Cup, held in France in September and October 2023.

SNCF and Sopra Steria Next then launched a five-week pilot with over 280 beta testers across France, aiming to test the solution's performance and enrich its vocabulary for customer service and traveller information.

The project finally moved to the appropriation phase, organising physical or online meetings with station staff across France to support their adoption of the tool and train them in its use.

AI translation technologies are learning technologies. Their adoption requires specific support to build trust in the tool and make the most of the technology.

Rémi Weiller

Director, Transport Consultancy, Sopra Steria Next

New functionalities turbochange AI potential

With TradSNCF, customer service staff now have a translation solution that perfectly meets travellers' needs, assisting them before, during, and after their journey.

A series of enhancements and developments are currently being studied, including the development of a dedicated app (rather than a web app), the addition of an offline mode to support staff working in low-connectivity areas, automatic language recognition, document scanning functionality, and the creation of a "favourite phrases" section.

Discussions are also underway to add new languages and continue improving accessibility and ergonomics.

The use of TradSNCF extends beyond interactions between station staff and travellers, as it is also used by community managers to respond to internet users and for contextual information displayed on station screens.

The solution has already been deployed at stations in key cities throughout France and will soon be deployed across the entire country to facilitate travel for all foreign tourists visiting the country each year.

A true mark of its commitment to welcoming visitors, TradSNCF perfectly illustrates SNCF's capacity for innovation in the service of travellers and will remain as a legacy of the Olympic and Paralympic Games.

  • 6 Months to develop the solution
  • 130 Languages spoken via the solution
  • 3,000 Railway-specific words incorporated intro TradSNCF
TradSNCF perfectly illustrates the great diversity of Sopra Steria Group's expertise with active collaboration between specialised contributors: integration, Industry & Services, People & Change, and Public Service.

Roxana Rotaru

Consultant, People & Change, Sopra Steria Next

Contact our expert

Rémi Weiller

Rémi Weiller

Director, Transport Consultancy, Sopra Steria Next

artificial-intelligence

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