Transform incomplete product data into rich, standardized attributes that power search, filtering, and conversions. Merchkit automatically extracts, creates, and normalizes attributes from existing product information — eliminating suppressed listings and data quality gaps across your entire catalog.
Extract product attributes from existing text, images, and documents in seconds. Merchkit fills gaps automatically by extracting missing specifications from supplier data and generating channel-specific required fields.
Create missing attributes and enhance existing ones with AI that understands your industry domain. Products go from partial data to channel-ready without manual research or supplier follow-up.
Define your business rules and standards in plain English and Merchkit creates consistent, high-quality attribute values across your entire product catalog with automated validation.
Merchkit handles diverse attribute types — text, visual, numerical, and compliance — in ways that traditional PIM or manual workflows cannot.
Merchkit extracts structured attributes — material composition, feature lists, care instructions — from unstructured text in supplier descriptions, spec sheets, and user manuals. When attributes are missing entirely, the AI generates them from product context, cross-referenced against your taxonomy's approved values.
Computer vision extracts color, texture, and style attributes directly from product images — identifying fabric weave patterns, wood grain finishes, and room setting contexts. Visual enrichment works even when supplier data is incomplete.
Suppliers send dimensions in mixed units and inconsistent formats. Merchkit normalizes these values automatically, converting measurements to your catalog's standard units. Out-of-range values are flagged for review before they create listing errors.
Manual data teams, freelance resources, and general-purpose AI like ChatGPT each have specific failure modes that Merchkit is purpose-built to solve.
Teams using offshore or in-house data entry can process hundreds of SKUs per week at best. When your catalog grows to thousands of products, the manual approach creates a permanent backlog that leaves you perpetually behind.
ChatGPT and similar tools can write product descriptions, but they don't ingest your supplier PDFs, validate against your taxonomy, or format for channel-specific requirements. Hallucinated attributes create listing rejections, customer complaints, and returns.
Legacy PIMs like Akeneo and Salsify tell you what's missing but don't fill the gaps. PIM workflows are designed for data storage and validation, not enrichment. Merchkit handles the active enrichment work that PIMs leave to your team.
Define catalog quality rules in plain English and have them enforced continuously across every SKU without manually reviewing each one.
You define what complete, accurate, and compliant looks like for each product category — required attributes, accepted value formats, brand voice guidelines — in plain language. Merchkit applies those standards to every SKU automatically.
Configure category-specific templates that define which attributes are required, which are optional, and what formats are acceptable. Furniture requires dimensions and weight capacity. Apparel needs size charts and fabric composition. Enrichment runs against these templates.
Enriched data is validated against your business rules before it's applied to your catalog. Out-of-range dimensions, non-compliant certifications, and inconsistent formatting are flagged for review rather than automatically published.
Common questions about our platform
Book a personalized demo to see how MerchKit can help you create rich, standardized product attributes at scale and eliminate data quality gaps across your catalog.