AI Product Description Generator for JTL-Shop and JTL-Wawi | The Complete Guide

Published on July 15, 2025

By Daniel Manco

A step-by-step workflow for automating your JTL-Shop/JTL-Wawi product content, from data export to final import.

The Content Scaling Challenge on JTL-Shop/JTL-Wawi

The Manual Content Bottleneck: Writing unique product descriptions, SEO titles, and bullet points for thousands of SKUs in JTL-Wawi is slow and repetitive. Switching between the ERP, JTL-Shop back-office, and spreadsheets drains time and invites errors.

Why Poor Product Data Hurts Sales: Thin or duplicated copy lowers search rankings, gives shoppers little reason to convert, and weakens your brand. Weak data also leads to expensive ad spend because listings with poor relevance scores need higher bids to compete.

Common AI Solutions for JTL-Shop/JTL-Wawi (And Why They Don't Scale)

Method A: The Native Tool (Manual Entry in JTL-Wawi)

Quick for one SKU, pointless for ten thousand.

You can open a product in JTL-Wawi, paste AI-generated text, and save. It works but offers no bulk generation, no automation, and no version control. Every new sales channel means repeating the same manual steps.

Method B: The Integrated Plugin (AX-Semantics Connector)

Powerful NLP, but locked into a technical setup.

AX-Semantics can auto-generate texts inside JTL via its connector. However, it requires template scripting, training, and ongoing maintenance. Non-developers find the interface tough, and the generated content remains tied to JTL’s database, limiting reuse for Amazon, eBay, or OTTO.

The Universal Problem: A Content Dead End

Even if these tools generate good content for JTL-Shop/JTL-Wawi, the data sits only in that system. When you expand to other marketplaces, you must rebuild everything to match each platform’s CSV template. The cycle starts again, stalling growth.

The Scalable Workflow: A Content Pipeline with Conbase.ai

Moving Beyond Platform-Lock: Conbase.ai treats your product data as a portable CSV. You export once, enrich it with AI in a visual pipeline, then import the polished content back into JTL or any other channel. No vendor lock-in, no scripting.

Your Data, Your Rules: By working directly on the CSV, you decide exactly which columns feed the prompt and where the output lands. This keeps field names consistent across marketplaces and preserves data quality.

Step-by-Step: Your Complete JTL-Shop/JTL-Wawi AI Generation Workflow

Step 1: Export Your Product Data from JTL-Shop/JTL-Wawi

This export uses JTL-Ameise inside JTL-Wawi. Follow the exact click-path:

In JTL-Wawi, navigate to Import/Export > JTL-Ameise.
On the left pane, click the Export tab.
1. Under Export format, choose Articles.
2. In the database tree, expand Article > General.
3. Drag the following fields to the export columns list on the right:
  1. Artikelnummer
  2. basis_artikelname
  3. beschreibung
  4. hersteller
  5. Any other fields you need, such as farbe, material, or custom attributes.
4. Click Next, set a file path, and leave the delimiter at ; (default).
Finish by clicking Start Export. JTL-Ameise writes the CSV to your chosen folder.

Always check the official JTL documentation for the most up-to-date labels because interface wording can change.

Step 2: Prepare Your CSV for High-Quality AI Output

Good prompts need good source data. Before uploading to Conbase.ai, add or verify the following “Ideal AI Input Source Columns” so the model has context:

Artikelnummer
basis_artikelname
hersteller
farbe
material
abmessungen
hauptmerkmal_1
hauptmerkmal_2
anwendungsbereich

Important for JTL-Shop/JTL-Wawi: Make sure your instructions remain in a strict, text-only, nested, numbered format when you document internal procedures. This mirrors JTL-Ameise’s menu depth and prevents confusion when readers follow the click-path.

Step 3: Process Your Data with a Conbase.ai Pipeline

The process is simple. This video shows you the entire workflow from start to finish.

Upload your source CSV file.
Configure one or more prompts.
Run the generation.

If you prefer a written guide with screenshots, you can find one here: Conbase.ai Workflow Guide.

Find the Perfect Prompt for Your Needs

To get the best results for JTL-Shop/JTL-Wawi, you need a powerful prompt. You can either build your own or use a pre-built template.

Explore our Generation Guides: We have detailed guides with copy-paste sample prompts for the most common use cases. Learn more
Browse the Template Library: Check our in-app template library for ready-to-use workflows. (Requires login) Learn more

Step 4: Import Your Enriched Data into JTL-Shop/JTL-Wawi

Use JTL-Ameise again, this time on the import side:

In JTL-Wawi, navigate to Import/Export > JTL-Ameise.
Click the Import tab.
1. Under Import format, select Articles.
2. Browse and choose the enriched CSV you exported from Conbase.ai.
3. Map columns precisely:
  1. Artikelnummer ➝ Artikelnummer
  2. neue_beschreibung (or your chosen field) ➝ Beschreibung
  3. Repeat for every new field you generated.
4. Select Update existing records so only content fields are overwritten.
Click Start Import. JTL-Ameise updates the database and pushes changes to JTL-Shop with the next sync.

Always check the official JTL documentation for the most up-to-date information, as import rules and options can change.

Workflow Comparison: Conbase.ai vs. Native Tools

✔
True Bulk Processing: Process 10,000 products from a spreadsheet, not just one at a time.
✔
Multi-Step Automation: Chain actions together (e.g., Generate ➝ Translate ➝ Format) in a single workflow.
✔
Platform-Agnostic: One central tool for all your platforms, not a dozen different locked-in solutions.
✔
Full Prompt & Data Control: Your brand, your rules. You have complete control over the AI's inputs and outputs.

Stop Editing, Start Automating Your JTL-Shop/JTL-Wawi Store

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