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AI Product Enrichment

Fill every empty product field AI writes, checks and translates.

Bring a supplier feed and WISEPIM completes every SKU against your own channel rules before anything reaches a channel.

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The product editor: every field shows its source and its last enrichment run, so you can see what the AI touched before it ships.

Key features

  • Built for 10M+ SKUs

    Catalogs that crash legacy PIMs run cleanly on WISEPIM. The AI is tuned for attribute-rich products, not small demo catalogs.

    10M+SKUs handled

  • Quality Guard checks every field

    Every AI-generated field is checked for completeness, compliance, and channel requirements before it can be published.

  • 93 languages, native quality

    High-quality translations with terminology control, consistent brand voice, and awareness of local market requirements.

How it works

See AI enrichment in action

Every task runs on your own catalog. This is what it looks like inside WISEPIM.

What AI-native changes

What “AI-native” actually changes

AI sits in the core of the workflow rather than in a side panel. Three things follow from that.

Built for catalogs that break legacy PIMs
10M+
Industrial parts, hardware, consumer electronics, cosmetics: attribute-heavy categories where a batch run is thousands of SKUs, not a demo set. The same platform handles grocery, FMCG and general merchandise.
WISEPIM product data
AI at the core, not added on top
AI-native
Legacy PIMs added an AI tab in 2024. WISEPIM was designed with AI from the start: every workflow, every validation and every output is built around what AI does well, and guided where it falls short.
Product data that AI shoppers can act on
Agent-ready
Schema.org-compliant attributes, validated GTINs, machine-readable specs. The structured data ChatGPT, Gemini, Perplexity, and Claude need to actually recommend your products.

Side by side

Generic AI prompts, legacy PIMs, or WISEPIM

What it really means to have AI built in, in the rows that matter.

Generic AI prompts, legacy PIMs, or WISEPIM
What you needGeneric ChatGPT / AI promptLegacy PIM with AI add-onWISEPIM
Catalog context awarenessStateless: no taxonomy, no rulesField-level onlyFull catalog, taxonomy, brand voice
Output validationNoneManual review queuesQuality Guard on every field
10M+ SKU scaleToken limits, no batchingSlows above 50k SKUsBuilt for 10M+, batched intelligently
Per-channel output formatsOne generic outputChannel templates, no AIAI-aware per channel
Governance and audit trailNo versioning, no rolesStrongFull audit trail and role-based
Ready for AI-driven commerceNo structured outputBuilt for storage, not for AI agentsSchema.org + GTIN + complete

Inside the platform

What's inside the platform

Eight specialized features that together form one end-to-end enrichment platform: generation, validation, translation, and governance.

Interactive

How WISEPIM works

Four layers. Data comes in from any source. We clean it, improve it, translate it, and score it. Then it ships back to every channel that sells your products. Every step is logged.

Hover for a summary. Click any layer for details.

FAQs

Questions buyers ask

What the enrichment engine does, and where it hands back to a person.

Still have questions?

Can't find the answer you're looking for? Please get in touch with our team.

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It means using AI to turn incomplete or supplier-formatted product data into rich, structured, channel-ready content. That includes writing descriptions, filling in missing attributes, standardizing specs from PDFs and spreadsheets, checking compliance fields, and translating into multiple languages, all at a scale where manual work breaks down.

Three things. AI is built into every workflow rather than added as an extra tab. The platform is built for 10M+ SKU catalogs in attribute-heavy categories such as industrial, hardware, electronics and cosmetics. And the output is structured for AI-driven commerce: schema.org-compliant attributes that a shopping assistant can read. It does not decide what to publish: Quality Guard flags, a person approves.

Generic AI prompts have no context about your catalog, channel requirements, or compliance rules. They produce one-off, unvalidated, unstructured text. WISEPIM adds category-aware schemas, validation, taxonomy mapping, and channel-specific output formats, plus governance, versioning, and audit trails that enterprise teams require.

Yes. AI shopping assistants (ChatGPT, Gemini, Perplexity, Claude) read structured product data, not marketing copy. WISEPIM makes sure every SKU has complete schema.org-compliant attributes, validated GTINs, machine-readable specs, and full ingredient lists: exactly what those assistants need to recommend and sell your products.

Yes. WISEPIM is built for catalogs of 10M+ SKUs, with batched enrichment, queueing and Quality Guard at every step so performance and quality stay predictable as the catalog grows. Very large first runs are staged in batches rather than fired at once, so you can review a sample before the rest goes through.

Every AI output is logged with the prompt, model version, and source data. Quality Guard checks each field against category-specific rules including allergens, GTIN validity, and schema completeness. Role-based approval workflows let compliance, brand, and category teams sign off before publishing. Full audit trail per SKU.

Next step

Enrich a sample of your catalog

Bring a sample feed and we will enrich it live, on your own products: output that handles complex categories, passes your compliance checks and is readable by AI shopping assistants.

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