Cleaning & Transforming Multilingual Data

An automotive parts distributor received product information from suppliers in different formats and languages. Product names, descriptions, categories, and other fields were not always consistent, with information arriving in both English and French.

With DataPeak, the organization created a repeatable process for preparing this information. Data Cleaner, Data Transformation components, Translation, and LLM Prompt Engineering helped the company clean inconsistencies, restructure information, translate content, and apply its own processing requirements.

The organization was able to:

• Clean and standardize inconsistent supplier data

• Transform product information into a consistent structure

• Translate product information between English and French

• Preserve important product codes and terminology

• Apply company-specific rules through prompt engineering

• Create a repeatable process for preparing supplier data

Read the full story of how they did it and see what DataPeak could do for your team.

By combining data cleaning, transformation, translation, and prompt engineering, DataPeak gave the organization a more consistent way to prepare multilingual supplier information for downstream processes, analysis, and business workflows.

Disclaimer: Results described in this case study are specific to the featured client’s experience. Actual outcomes may vary based on your business context and implementation.