Case · E-commerce
Expanding the catalog without an army of translators.
Batch processing of thousands of products from German. Not just translation, but SEO optimization and parameter extraction.
Model case: we assume the company looks like this and show how much it would yield.
- Model case
- Make
- OpenAI
- DeepL
- Shoptet
Starting point
Translating thousands of items
A quality translation of a product feed with 5 000 items takes months and expensive agencies cost a fortune. Google Translate does it fast, but ruins SEO with duplicate content. Whoever waits for manual translations loses the whole season.
- Before
Manual translations
MANUAL PROCESS
- After
AI translation
AUTOMATION
What we would build
How it works
Loading the product file (XML feed), AI translation, extracting parameters and bulk upload to Shoptet.
- 01
Loading
Make downloads the supplier's XML feed
- 02
AI processing
GPT-5.2 translates and formats the HTML
- 03
Parameters
A program pulls the product parameters out of the text
- 04
Upload
The data goes into Shoptet in batches
- Make · Connecting the steps
- GPT-5.2 · Translation and formatting
- DeepL API · Backup machine translation
- Shoptet API · Import into the e-shop
Rollout steps
How the rollout would go.
- 01
DAY 01
Tuning the AI brief
Setting up the brief so the AI uses the right technical terms for the sector.
- 02
DAY 02 to 03
Test batch
A test run on 500 products and a quality check.
make run --scenario test
- 03
DAY 04 to 05
Full automation
Launching full automation on the whole feed.
Model assumptions
Where the result comes from.
We take a typical company from the sector and the situation from the brief, add labelled assumptions and calculate the result. If the inputs change, so does the result, so you can recalculate it for your own company.
Model company
A model e-shop that wants to expand its range by 5 000 products from a German supplier. The texts must be translated and adapted for search engines.
Inputs
- Items in the feed
- 5 000
- Agency price per item (assumption)
- 3 EUR
- AI (API) cost for the whole feed (assumption)
- 1,000 EUR
- Sample review
- 500 items at 1 min each (assumption)
- Manual translation of one item (assumption)
- 15 min
- AI processing of the feed (assumption)
- one weekend, batches of 500 items
- Labor rate (assumption)
- 24 EUR / h
Calculation step by step
- 01
Agency
5 000 × 3 EUR= 15,000 EUR
- 02
Sample review
500 × 1 min ÷ 60 × 24 EUR= 200 EUR
- 03
AI total
1,000 EUR + 200 EUR= 1,200 EUR
- 04
Cost saving
1 − 1,200 EUR ÷ 15,000 EUR= 92 %
- 05
Manual work the AI replaces
5 000 × 15 min ÷ 60= 1 250 h
This is a gross saving of time and money. We include the cost of rollout and running only where it is visible in the calculation.
Model results
What would change after rollout.
- Model case
1 250 h
5 000 items × 15 min of manual translation. AI handles the feed in a weekend
Work
- Model case
−92 %
AI and review 1,200 EUR instead of 15,000 EUR at an agency
Costs
Your numbers belong in the model, not ours. The calculator shows where to start, and we work out the real values on your data.
Start here
15 minutes is enough for you to know whether it makes sense.
You tell us what is bothering you. We tell you whether we can help, roughly what it costs and where I would start in your place. No presentation.
- jakub@transformuj.ai
- Phone
- +420 773 070 090
- Address
- Legerova 1820/39, Praha 2