Implementation · Integrations and ecosystem
Prepare product data for ecommerce, PIM and AI
We structure categories, attributes, variants and relationships so product data supports search, filtering, automation and a better buying experience.
When is it worth it?
- Product data is incomplete, inconsistent or scattered across systems.
- Customers struggle to find and compare products.
- You are preparing for PIM, migration, content automation or AI search.
What do we do?
- Analyse the current catalogue structure and data quality.
- Design product data models, categories, attributes and variants.
- Standardise naming and data rules.
- Prepare data for integrations, migration and automation.
What do you gain?
- A clean and consistent product catalogue.
- Better offer presentation and user experience.
- A foundation for automation, PIM and AI-enabled discovery.
Product data as a foundation
Product data ready for ecommerce, PIM and AI
An unstructured product catalogue limits sales, slows down team work and blocks further automation. If data is incomplete, inconsistent or scattered between spreadsheets, ERP, ecommerce and manually created descriptions, it is difficult to implement PIM effectively, automate content, develop AI search or build accurate product recommendations.
At Strix, we help organise product data so it becomes a solid foundation for ecommerce, PIM and future AI solutions. We analyse catalogue structure, categories, attributes, variants, product relationships, naming and content quality. As a result, the catalogue stops being only a product database and starts supporting sales, search, filtering, personalisation and process automation.
This service is for companies that want to prepare their catalogue for scaling: more products, multiple sales channels, marketplace, cross-border, PIM, content automation or the use of AI in ecommerce.
Catalogue order that supports sales
We structure the catalogue so it is understandable both for customers and for teams managing the offer. We check whether categories, attributes, variants and product relationships help users find, compare and choose the right product.
What do we organise?
- category and subcategory structure
- product attributes and their naming
- variants, sets and relationships between products
- filters, parameters and data needed for comparison
- completeness of information on product pages
Business result:
Customers find products more easily, the catalogue is clearer, and the ecommerce team can manage the offer faster without data chaos.
Foundation for PIM and multichannel sales
PIM implementation makes sense when the organisation knows what data it wants to manage, where it comes from and how it should be used in different channels. That is why we prepare the catalogue structure so it is ready for central product information management.
What do we prepare?
- product data model for PIM
- standards for attributes, descriptions, media and variants
- data sources: ERP, ecommerce, suppliers, files and product teams
- rules for completing, validating and updating data
- structure ready for marketplace, ecommerce, B2B/B2C channels and cross-border
Business result:
PIM does not become another system with disorganised data, but a real centre for product catalogue and multichannel sales management.
Data ready for AI, automation and better discovery
AI, content automation, recommendations and modern search work only when they have access to well-described, consistent and complete data. That is why we prepare the catalogue so it can feed future automation processes and a better shopping experience.
What do we optimise?
- attributes important for AI search, filters and recommendations
- data needed to generate descriptions automatically
- product relationships supporting cross-sell and up-sell
- information about use cases, compatibility and differences between products
- content structure for SEO, GEO and internal search
Business result:
The catalogue becomes ready for automation: products are easier to find, descriptions can be created faster and AI has better data for recommendations, search and personalisation.
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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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