Automated Product Data Ingestion
for Ale-Hop with AI
NOETIQ ONE GmbH
Feb 16, 2026
Supplier Data Is a Mess
- Every month, ~100 new SKUs land on your desk from dozens of different suppliers.
- Each supplier sends something different: blurry product photos, a PDF spec sheet in Chinese, an Excel file with half the columns missing.
- Someone on your team opens every single file, reads it, interprets it, and types the data into your PIM by hand.
- Nobody wants to do that. This should be automated by now.
We Turn Supplier Files Into Clean Product Data
- We offer one place where your team can dump everything a supplier sends. Images, PDFs, Excel sheets, scans, whatever it is. All at once.
- The system reads every file, extracts the product data, maps it to your taxonomy, translates it, and writes the marketing copy. Automatically.
- Your people use it like a funnel: messy supplier data goes in, clean structured product data comes out, ready for your systems.
Upload
规格说明.pdf2.4 MB
PDF productos.xlsx890 KB
Excel product_photo.jpg3.1 MB
IMG precios.csv124 KB
CSV Structured Data
Field
Value
productnameReusable steel water bottlecolorMint/teal to dark bluelogoPalm treelid_styleScrew-top with handle loopmaterialAnalyzing...weightDemo: One Image from a Supplier
A supplier sends a whole collection of files. For the demo, we took just this one image.
Demo: You Drop It Into the Interface
We dropped it into the system and told it what to extract.
Demo: You Tell It What to Extract
You describe what to extract. In the SaaS, the system already knows your fields and language.
Demo: This Is What Comes Out
You see every extracted field. Accept, edit, or export.
Demo: Ready for Your Systems
Export as JSON or CSV. Integrate directly into your ERP.
How It Works
- The best AI model today won't be the best model in six months. We track that so you don't have to.
- When a file comes in, the system recognizes what it is (an image, a PDF, a spreadsheet) and uses the right model to interpret it.
- The final output is assembled by frontier models like Gemini that understand structure and tone.
- In the MVP, you had to prompt the system. In the final product, you just dump the files. The engine already knows your fields, your language, your taxonomy.
- Your team only reviews and clicks "accept." The data exports as CSV or JSON straight into your ERP/PIM.
Next Steps
