Attributes & features

WDEPOS reconstructs your existing Amazon product structures and prepares descriptions, images, parent-child variations, attributes and product features for import via JTL-Ameise.

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Attributes and product features

Amazon product templates may contain hundreds of technical fields. We identify populated attributes, map suitable fields to JTL attributes and product features, and flag data that requires manual review.

Manual maintenance costs time and money

Re-entering descriptions, dimensions, materials and other attributes individually in JTL-Wawi can take days or weeks for large catalogs. Structured preparation reduces repetitive work without promising automatic equivalence for every Amazon field.

Practical guidance for Amazon product migration

Example: material, dimensions, and color

An Amazon listing may contain stainless steel as material, 30 cm as length, and silver as color. Depending on the target catalog, these values may become JTL attributes, product features, or variation values.

Attributes, features, and variations

Attributes can hold supplementary product information; features can support classification and storefront filters; variations identify purchasable options. The correct mapping depends on your JTL setup.

Quality matters more than column count

Empty fields, inconsistent units, duplicate values, and Amazon-specific field names require review. WDEPOS structures existing information; it cannot reliably recreate data absent from the source.

JTL-Ameise import workflow

The result is prepared import files, followed by field mapping and a test import in JTL-Ameise. No direct write access to the JTL-Wawi database is required.

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Everything your product catalog needs

Complete product data

SKUs, titles, descriptions, brands, manufacturers and product categories.

Images and local folders

Structured image assignment and a local product archive.

Parent-child variations

Reconstruct existing variant families and validate their relationships.

Attributes and features

Extract existing Amazon attributes and map suitable data to JTL attributes and product features.

Less manual work

Manually entering product data in JTL can take weeks and cause significant costs, depending on catalog size.

JTL-Ameise import

Prepare import files without directly accessing the JTL-Wawi database.

The quality of the results depends on the available Amazon source data. The first JTL–Amazon synchronization must be checked carefully.

How WDEPOS works

1. Request your Amazon data

Obtain Category Listings Reports (reverse feeds) through Seller Central or Amazon support, where available.

2. Analyze the files

We check product completeness, images, variants, attributes and features.

3. Prepare the JTL import

We structure the existing data for import through JTL-Ameise.

4. Validate before syncing

Review data and parent-child relationships before the first Amazon synchronization.

Local product management

Build a reusable local structure for products, images and variations. Generating new Amazon flat files from locally maintained data is planned, not yet available.

From Amazon to multichannel commerce

JTL-Wawi can serve as the hub for other marketplaces and your own JTL-Shop. Availability and costs depend on the respective integrations. WDEPOS prepares the initial product data; it does not connect marketplaces itself.