Case Study: Mintel achieves faster, more efficient multilingual content production with LILT

A Lilt Case Study

Preview of the Mintel Case Study

Mintel Enhances Content Production Efficiency with AI

Mintel, the global market intelligence and research agency, needed a more efficient way to localize its multilingual content for audiences across 35 countries. Its team was spending too much time correcting repetitive machine translation errors and needed a partner that could improve workflow efficiency, integrate with existing systems, and stay cost-effective. LILT was selected to support Mintel’s localization strategy with its enterprise language platform and AI-powered translation tools.

Using the LILT Platform, Mintel’s translators work with contextual AI suggestions, real-time learning, and connectors that fit into its existing workflow, while some content is translated instantly through model interoperability. The result has been a 20% increase in linguist translation speed, reduced labor and project costs, and faster time-to-market, while improving accuracy and supporting 5 target languages. LILT has also helped Mintel expand into new markets more quickly and improve overall ROI on localization.


View this case study…

Mintel

Xiao Xiao

Head of Localization


Lilt

34 Case Studies