Product data & data quality
Product data & data quality: clear info for merchants and buyers
Good product data helps buyers make decisions faster. This article explains required fields, variants, measurements, technical specs, categories and simple maintenance tips.
Why clean product data matters
Accurate product data reduces questions, returns and wrong orders. When information is clear and complete, customers find products faster. Search functions, filters and comparison tables rely on structured data. For merchants, good data means less customer service workload and better visibility on marketplaces. Platforms like OpenDeal process structured information more reliably, which eases listing and ordering for sellers and buyers.
- Fewer questions and returns
- Better visibility in search results
- Easier integration with marketplaces and APIs
Mandatory fields to define: Mandatory fields differ by product type and market. Generally, include product title, short description, brand, SKU, availability and a main image. Certain goods need extra mandatory data, for example energy labels for appliances, material composition for textiles, or legal safety notices. Create an internal checklist for each category. The checklist helps staff and external suppliers provide consistent entries.
- Title, short description, brand, SKU
- Availability and main image
- Category‑specific mandatory info (material, energy, safety)
Variants, measurements and technical specs: Set up variants (size, colour, configuration) as true variants instead of separate products. That simplifies stock management and ordering. Measurements and weight are essential for shipping, packaging and display. Technical specs like voltage, power, compatibility or connector types must be precise. Use standard units and consistent formats (e.g. cm, mm, kg). Separating technical facts from marketing text helps customers find the key data quickly.
- Create real variants, not duplicated products
- Use standard units (cm, mm, kg)
- Keep technical data separate from marketing text
Categories, tags and clear descriptions: Thoughtful categorisation makes browsing easier. Define main categories and subcategories and avoid duplicate placements. Tags can add context but should not replace categories. Write descriptions plainly, in short paragraphs. Start with the main facts, then add details and care or usage notes. Images should show product dimensions and context. One or two bullet lists with key features are often more helpful than long paragraphs.
- Clear main category and subcategories
- Tags complement, not replace categories
- Start with core facts; include images with measurements
Data maintenance and workflow tips: Maintain product data continuously. Put simple processes in place: a template for new items, required fields in the system, regular audits and clear owners for categories. Accept supplier feeds only after validation. Use required‑field checks in your PIM or shop backend so essential data cannot be saved empty. Small teams can make big improvements with checklists and monthly spot checks. Document special cases for product lines so everyone uses the same information.
- Template for new items and required fields
- Validate supplier data before import
- Regular spot checks and clear responsibilities
This guide was created with AI assistance and published automatically. Binding product details are shown on the linked product pages.