How Intertec Helped a Leading E-Commerce Platform Centralize and Automate Translations with GenAi
Value Delivered
+90%
Success rate in resolving translation issues within two weeks, ensuring timely improvements and consistent user experience
13%
Fewer reported bugs in German and French translations over the past year, reflecting improved quality in localized content
INDUSTRY
E-commerce
PROJECT DURATION
10 years
LOCATION
Worldwide
CLUTCH REVIEW
5
Client Bio
An e-commerce platform needed to serve customers around the globe with accurate, localized content. But each department had its own system for translating product descriptions, support articles, and marketing materials. This patchwork approach led to inconsistencies and made it hard to maintain a single, unified brand message.
Situation
One of the world's largest shopping engagement platforms was having trouble with its translation process. Each department used its own translation tools, which led to confusion and wasted time whenever something needed to be translated or updated, also causing synchronization issues and inefficient content management.
By partnering with Intertec, they created a single centralized translation service. It uses Amazon Translate underneath, but also includes special steps before and after each translation to make sure everything fits their brand’s style and needs. Now, instead of juggling multiple tools, everyone in the company uses the same service. This has sped up their localization efforts and given customers a more consistent and reliable experience on every platform.
Solution
Solution
Intertec built one centralized translation service on top of Amazon Translate, bringing all of the company’s localization efforts under one roof. This service includes special steps before and after each translation (pre- and post-processing) to make sure the final output meets the company’s specific needs.
Impact
- Disjointed translation tools
Each team relied on a different translation tool, so keeping all of them in sync took a lot of time and energy. It was easy for translations to get out of date because there wasn’t a single, shared process. - Complex feature updates
Whenever a new localization feature was introduced, it had to be added and tested in every single application that used translation. This created extra work and slowed down how quickly new features could be released. - Slow turnaround
Because multiple systems were involved, translating and approving content took longer than it should have. Every request had to pass through several different teams and tools before it was ready, creating delays and potential errors.