Fixing incorrect product information in e-commerce: How PIM, DAM and AI work together to ensure data consistency

In the dynamic world of digital commerce, the precision and consistency of product information is becoming a decisive competitive factor. Customers not only expect complete and trustworthy information, but also demand it across all touchpoints – from online shops and marketplaces to mobile apps and social networks.

However, problems such as outdated information, contradictory prices or incomplete media elements are particularly common in multichannel and omnichannel setups. The solution lies in the intelligent combination of three key technologies: PIM (Product Information Management), DAM (Digital Asset Management) and AI (Artificial Intelligence).

The initial situation: Fragmented systems, inconsistent data

E-commerce companies often manage product data via a multitude of isolated systems: ERP, CMS, spreadsheets, media storage, external supplier databases, etc. The result: inconsistencies, redundancies, incorrect or even legally problematic product information.

Typical challenges:

Different data formats and standards for images, texts and attributes
Manual maintenance processes that are error-prone and time-consuming
Insufficient control over channel or country-specific variants
Lack of traceability in the event of data changes

Technological solution: Interaction of PIM, DAM and AI

PIM - centralised management of structured product data

A PIM system serves as a single source of truth for all product-related information. It manages

- - Attribute data (size, weight, materials, compatibility, etc.)
  - Marketing texts in multiple languages
  - Price and availability information
  - Channel and region-specific variants

APIs allow this data to be played out automatically in shop systems, marketplaces or print catalogues. Validation rules and data governance workflows ensure high data quality.

DAM - manage media content contextually

A modern DAM system complements the PIM by managing all digital assets - in particular

- - Product images in various formats and resolutions
  - Videos, 360° views, zoom material
  - Technical drawings, certificates, data sheets

Each asset is provided with metadata and can be efficiently controlled via tagging, automatic versioning and rights management.

AI – intelligent automation and quality assurance

The true power of innovation unfolds through the seamless integration of artificial intelligence into PIM and DAM systems. This not only makes data maintenance more efficient, but also raises data quality to a new level. AI-supported mechanisms enable automated validation of product data, in which incorrect, contradictory or incomplete information is reliably recognised and corrected by predefined sets of rules or adaptive algorithms. In DAM systems, AI is used in particular for image analysis – media content is automatically tagged using intelligent object recognition and auto-tagging, for example based on recognised products, colours or usage scenarios. AI also supports text generation: structured data from the PIM is used to automatically create SEO-optimised product descriptions in multiple languages, which is a huge relief, especially for large product ranges. The AI also recognises potential anomalies, such as unusual price deviations, implausible product dimensions or missing mandatory information, before they are published. Even the comparison of external supplier data with existing product schemas is significantly accelerated and improved by AI-based allocation and mapping processes.

Example: Multichannel export with AI protection

A company sells products via its own online shop, Amazon, Zalando and print catalogues. Each platform has its own requirements for data formats, image sizes, texts and attribute structure.

Without PIM, DAM & AI:

- - High risk of errors due to manual conversion
  - Inconsistent product information leads to returns and reputational damage
  - Poor visibility in search engines due to unstructured texts

With PIM, DAM & AI:

- - Centrally maintained, validated product information
  - Automatic media-appropriate conversion by DAM
  - AI checks and adds missing information, warns of inconsistencies
  - Scalable content production for new markets or channels

Conclusion: Consistent product data requires more than just a good CMS

In the multichannel world, a shop system alone is not enough to master the complexity of modern product communication. Only by combining PIM for structured data, DAM for media content and AI for intelligent automation can scalable, future-proof processes be created – and above all: consistent, correct and high-converting product information.

Would you like to find out how you can not only manage your product data with our multichannel platform, but actively use it intelligently?
Talk to us – we’ll show you how AI-supported systems can revolutionise your data quality.