Real-World Case Studies and Customer Success Stories with SYSTRAN

FARFETCH needed to localize large amounts of content for its online marketplace in 16 languages. Their translation process was manual and slow. They started using a translation management system, but... it was not enough for their high volume. They then added SYSTRAN's neural machine translation to their workflow. This change led to a 30-35% improvement in efficiency and a 35-45% reduction in costs. FARFETCH also saw an extra 10-15% gain in the second year by retraining the translation engine.
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Petit Futé wanted to expand its travel guides to new foreign markets. They faced a challenge because their content was very large and changed often. They needed a way to translate this content quickl...y and affordably. Petit Futé chose SYSTRAN’s automatic translation technology. They used it to translate practical information and help their translators work faster. The solution was fully integrated into their system. This helped them launch an English website and support more languages.
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Nestlé needed to translate and localize content in many languages for different uses. Their old process used only human translation, which was slow and costly. They chose SYSTRAN's machine translatio...n server for 3,000 users to translate in 32 languages. The solution helped them process more translation work, lower costs, and keep content private. Nestlé used the tool for technical and legal documents, with both automatic and human-edited translations.
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Lombard Odier needed a secure way to translate documents and emails in many languages. They wanted to avoid online translation tools that could risk client data privacy. The IT department chose SYSTR...AN for its in-house translation solution. SYSTRAN was integrated into their intranet and email system. This helped Lombard Odier translate content safely and cut translation costs. The solution supports many languages and fits into their daily work.
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Lexcelera needed to improve translation quality and keep up with changes in the language industry. They used SYSTRAN Machine Translation technology for over 10 years. SYSTRAN translate Server and Mod...el Studio helped them train their own translation models for specific needs. This allowed Lexcelera to save time and money while offering high-quality translations. They can now respond quickly to large corporate clients and improve translation accuracy.
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ADmantX wanted to grow fast and needed to translate large amounts of content into many languages. They chose SYSTRAN translate Server to help with this. With SYSTRAN, ADmantX expanded to markets in E...urope, North and South America, and APAC. The solution let them keep high translation quality and support many languages. ADmantX could now match ads to content in any language and create better consumer profiles. The integration was smooth and easy for their team to manage.
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Ariel Corporation wanted to get more value from their language assets. They used XTM and SYSTRAN to improve their translation process. Their content management system worked well with XTM. Adding SYS...TRAN made the process even better. They saw a 22 BLEU point increase in translation quality. They also reduced costs and improved translation quality on new content.
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New Paradigm needed a better way to translate large amounts of sensitive data in many languages. They wanted to save analysts' time, customize language profiles, and keep data secure. They chose SYST...RAN over other options for its strong technology and support. SYSTRAN's on-premise solution gave them better data privacy and efficiency. Now, they translate about 16 million posts per month, up from just 200 before. Their team can now focus on risk reporting instead of manual translation.
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Stellantis wanted to help its employees around the world communicate better. They needed a translation tool for their Intranet Portal that was secure and easy to use. Stellantis chose SYSTRAN's machi...ne translation solution and added it to their IT system. Now, 3,000 users each day can translate documents and emails in real time. The tools help create multilingual content and keep information safe. Since launch, users make 40,000 to 50,000 translation requests daily, and the dictionary service saw a 112% increase in use.
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