Case Study

Kölle Zoo & ainavio AI image annotation

How Kölle Zoo made over 6,000 product images barrier-free in just three weeks

InfosChallengesGoalImplementationAchievementsConclusion
Information about Kölle Zoo

Key facts about the company

Kölle Zoo is one of the leading retail chains for pet supplies in Germany with over 20 locations and an established online shop. The company combines stationary retail with its e-commerce business and uses the platform in its web shop Shopware.

Sector: pet supplies

Company size: Medium-sized trading company (approx. 850 employees)

Sales channels: branch store & online shop

Herausforderungen

Initial situation

As part of the European Accessibility Act (EAA), the legal requirements for digital accessibility in e-commerce came into force on July 1, 2025. For Kölle Zoo, this meant preparing thousands of product images in the online shop in compliance with barrier-free image descriptions within a few weeks. To this extent, manual implementation would only have been possible with considerable investment of time and personnel.

Challenges before PIM implementation

High effort due to volume and amount of data

More than 6,000 product images from various product groups and image variants had to be supplemented with structured ALT texts and image titles. Manually processing this amount of data would have involved significant time and personnel costs.

Multi-language requirements

All image descriptions had to be available in German and English in parallel.

Technical limitation in the shop system

The Shopware shop system used did not allow any direct export of image data. Structured access to image data therefore had to be technically implemented first.

Tight legal deadline

Around three weeks were required for full implementation.

Target

Project goals

Together, Kölle Zoo and ainavio defined four central goals for barrier-free enrichment of image data in the online shop:

1. Automated and legally compliant image lettering

All product images should be automatically supplemented with structured ALT texts and image titles. The image descriptions had to comply with legal requirements for digital accessibility and be prepared relevant to search engines.

2. Bilingual edition

The generated image descriptions had to be output in German and English in parallel.

3. Integration into the existing shop system

The enriched image data should be structured and integrated into the existing Shopware shop system.

Implementation

Introduction of AI-supported image annotation

Automated image analysis and text creation

Each product image was analyzed based on AI and supplemented with barrier-free ALT text and a search engine relevant image title. Processing was completely automated.

Bilingual image caption

The generated image descriptions were output in German and English in parallel.

Technical preparation and integration

Incorrect image URLs were cleaned and all data combined in a structured export file. This could be integrated directly into the existing Shopware shop system.

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Successes

Complete implementation within the time frame
All more than 6,000 affected product images were automatically labelled. The legal requirements could be met within the specified deadline.

Bilingual image lettering without additional effort
All ALT texts and image titles were provided in German and English in parallel. No additional manual processing by internal teams was required.

Accessibility implemented in accordance with the law: The generated image descriptions comply with legal requirements for digital accessibility and are stored in the shop system in a structured manner.

Improved structuring of image data: The image data is now maintained consistently and prepared in an SEO-relevant manner.

Sustainably established process: The established process can be applied to any number of other image assets.

 

Conclusion

Conclusion

Even extensive image collections can be processed automatically under strict time limits. For Kölle Zoo, this means barrier-free and consistently maintained image data in the online shop.

In addition, it becomes clear that legal requirements can be solved even under time pressure if technology and processes work together cleanly. A standardized AI solution creates the necessary basis for this and enables the efficient implementation of future requirements.