# 6,900 Products enriched and translated in 7 hours

Official page: https://aitje.com/en/cases/productteksten-zonder-tokenkosten

> AITJE built a workflow for a leading Dutch online shop specialising in chargers that supplements product descriptions with technical charging data, translates them for four markets and uploads them directly back into the CMS. Without any external costs per AI token.

Case study — E-commerce / Chargers & electronics

## The approach

### Product data

Via the CMS integration, the workflow retrieves the current products, descriptions and available specifications. This means the analysis begins with the catalogue that the online shop is already using.

### Charging data

Gemma can use toolcalls to retrieve specific information from charging databases. Benchmarks for each charger and device supplement the existing product data.

### Enrich

Gemma 4 31B analyses the original text and the retrieved data. Code processes the load data and calculations; the model then converts this into comprehensible product information.

### Translate

A Gemma-based translation step adapts the enriched information for the German, Belgian, Luxembourgish and French markets. Specifications and product information remain part of the translation workflow.

### Publish

The workflow writes the new texts and translations back to the corresponding products via the CMS integration. This publication was already included during the initial processing: the content did not need to be transferred manually afterwards.

## Contact

[Contact AITJE](https://aitje.com/en/contact) — contact@aitje.com