What does AI-based annotation, structuring and enrichment of product data with language models (LLMs) mean?

1. Automatic annotation and classification

Ainavio uses LLMs to precisely analyze and annotate product information. This means:

• Extraction of relevant attributes from texts, tables or images.
• Automatic categorization based on taxonomies and classification systems.
• Removing duplicates and harmonization of similar product information.

example: A supplier sends an unstructured product description. Ainavios AI automatically recognizes product features such as size, material and technical specifications and assigns them to the correct attributes in the PIM system.

2. Structuring and normalizing product data

Data from different sources often has inconsistent formats. Ainavio workflows rely on AI to standardize them:

• Formatting measurement units, such as inches to centimeters or pounds to kilograms.
• Identify and correct inconsistencies in product data.
• Harmonization of different spellings for a uniform presentation.

example: One manufacturer provides weight information in grams, another in kilograms. The AI automatically converts and standardizes the values for all sales channels.

3. Automatic enrichment and content creation

In addition to cleansing and structuring, Ainavio AI supplements product data with relevant information:

• Automatic generation of SEO-optimized product descriptions.
• Add missing attributes through pattern recognition or web research.
• Translation and Localization for international markets.

example: A product description is missing. Based on existing attributes, the AI creates a consistent, search engine optimized description in multiple languages.

4. AI-powered quality testing and validation

Ainavio-ki validates product information to ensure quality:

• Identify and correct incorrect product data.
• Automatic validation against defined rules and standards.
• Real time feedback for manual corrections.

example: A retailer imports new products. Ainavios AI checks the entries for completeness and marks missing or incorrect values for correction.

5. Image and media processing with AI

In addition to text-based product information, Ainavio AI also processes images and media content:

• Automatic recognition of logos, certificates or icons (e.g. “vegan”, “organic”).
• Background removal and image optimization for consistent product photos.
• Create metadata for images and videos to make it easier to find.

example: An image contains the “Sustainable Product” seal. Ainavios AI recognizes the seal and automatically adds the appropriate attribute to the product data set.

‍