Workflow: AI Bulletpoints / Feature Texts (platform-optimized)

1. User Benefits

This workflow automates the creation of professional, clear, and conversion-optimized bulletpoints — especially for Amazon, Kaufland, and online shops. The bulletpoints highlight the most relevant benefits and technical features of each product and follow the formatting rules of each marketplace.

• Higher conversion rates through benefit-driven feature texts
• Consistent quality across all products and variants
• Fewer errors and missing information
• Improved readability and user experience
• Ideal for sellers with large catalogs or many variants

Well-structured bulletpoints directly increase relevance, SEO ranking, and the likelihood of winning high-visibility positions — especially on Amazon.

2. How the Workflow Works

The workflow automatically generates 3–7 high-quality feature texts per product, tailored to the requirements of each marketplace.

2.1 Product Identification

The system begins by analyzing the available product data:

• Title, attributes, and existing descriptions
• Product images
• Category and product type

When data is incomplete, the AI extracts features from images, technical patterns, or category logic.

2.2 Feature Extraction

The workflow then identifies and prioritizes all relevant product features:

• Material, dimensions, properties, and functions
• Benefits, advantages, and use cases
• Target group and application context

Features are ranked by relevance. Unclear or conflicting data is flagged.

2.3 Bulletpoint Generation

Based on the extracted features, the AI produces 3–7 bulletpoints per product:

• Structure follows the format: Feature → Benefit → Real-world use case
• Platform rules are applied (length, wording restrictions, formatting)
• Consistent style and tone across all products

For Amazon, the workflow creates full "Key Features"; for other platforms, more compact versions can be generated.

2.4 Validation

Before publishing, all bulletpoints go through automatic validation:

• Forbidden terms, protected trademarks, unverifiable claims
• Duplicate or redundant information
• Missing essential features

The order is automatically optimized so the highest-impact feature appears first.

2.5 Export to Feed / API

The finished bulletpoints are written into the corresponding product feed fields or delivered directly to marketplaces via API. Any change in attributes or product data can trigger an automated regeneration.

3. Time Savings for the User

Typical manual effort for bulletpoints:

• Amazon product: approx. 5–10 minutes
• Kaufland / online shop: approx. 3–6 minutes

With this workflow: 0–1 minute per product (optional review only).

Typical weekly time savings:

• 50 products/week → approx. 4–8 hours saved
• 200 products/week → approx. 15–25 hours saved
• 300+ products/week (agencies) → approx. 20–35 hours saved

Manual effort for feature texts is almost completely eliminated, while the quality of your product content improves significantly.