Implementation · Data and product catalogue
Prepare your data so AI can deliver real business value
We optimise data models, attributes and structures to make them usable for AI-powered search, recommendations, automation and decision support.
When is it worth it?
- Product data is incomplete, inconsistent or hard to use.
- AI tools do not deliver useful results because data is not ready.
- You want to improve recommendations, search or automated content.
What do we do?
- Analyse data quality and structure for AI use cases.
- Design data models for personalisation and recommendations.
- Optimise product attributes for search and AI discovery.
- Prepare data for content automation and machine learning tools.
What do you gain?
- Better use of AI in sales and marketing.
- Higher-quality recommendations and search results.
- A strong data foundation for automation.
Data for AI
Prepare product data so AI can actually work
AI tools need structured, complete and consistent data. We help organise attributes, categories, descriptions and relationships so search, recommendations and content automation can produce useful results instead of noise.
Before a company starts implementing AI recommendations, content automation, AI search, personalisation or shopping assistants, it needs a solid foundation: data structure, quality product information, relationships between products and clear catalogue management rules.
At Strix, we help organise ecommerce data so it can be genuinely used by AI — not only stored in systems. We check which information is missing, which attributes should be standardised, where data duplicates or conflicts appear and how product information should flow between PIM, ERP, ecommerce, search and content tools.
Data quality assessment
We identify gaps, inconsistencies and fields that limit the use of AI in ecommerce.
What do we analyse?
- attribute completeness and consistency
- category and taxonomy logic
- product relationships and variants
- data sources and ownership
- data consistency between PIM, ERP, ecommerce and CMS
Business result:
You know whether your data is ready for AI — and what needs to be organised before investing in automation, personalisation or AI search.
AI-ready product model
We design product data models that support recommendations, AI search and content automation.
What do we prepare?
- attributes relevant to user intent
- metadata for discovery and filtering
- rules for product relationships and variants
- data standards for channels and markets
- fields required for content generation and automation
Business result:
The product model becomes easier for AI systems to understand, compare and use in recommendations, search and automated content processes.
Integration with AI tools
Structured data must be available where AI systems need it.
What do we connect?
- PIM, ecommerce and search engines
- content automation tools
- recommendation and personalisation engines
- reporting and feedback loops
- rules for maintaining data quality over time
Business result:
AI can work on reliable data, and the organisation gains a foundation for scaling automation across sales, marketing and operations.
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who we are
Your Ecommerce Partner for Growth
We’re a team of over 200 ecommerce experts working across Europe — with offices in Poland, Germany, and the Netherlands.
Our clients are industry leaders, digital pioneers, and future-focused brands who see ecommerce as a strategic growth driver.
We partner with businesses that want more than just a platform — they want transformation. Together, we build scalable ecosystems, empower internal teams, and deliver measurable business outcomes.
Our expertise covers:
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