AI product enrichment that
wins customers.
Most PIMs store data. WISEPIM is built for AI, generating, standardizing, and validating product content at the scale complex retail demands. Trusted by industrial, hardware, electronics, and cosmetics brands managing 10M+ SKUs.
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.
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.
Why retailers call WISEPIM the leader in AI product enrichment
AI built into the core, not added as an afterthought. That difference shows in results.
Catalog scale, proven
We already serve complex retail categories: industrial parts, hardware, consumer electronics, cosmetics, at 10M+ SKU scale. The same platform handles grocery, FMCG, and general merchandise.
AI at the core, not added on top
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
Schema.org-compliant attributes, validated GTINs, machine-readable specs. The structured data ChatGPT, Gemini, Perplexity, and Claude need to actually recommend your products.
Generic AI prompts, legacy PIMs, or WISEPIM
What it really means to have AI built in, in the rows that matter.
| Generic ChatGPT / AI prompt | Legacy PIM with AI add-on | WISEPIM | |
|---|---|---|---|
| Catalog context awareness | Stateless: no taxonomy, no rules | Field-level only | Full catalog, taxonomy, brand voice |
| Output validation | None | Manual review queues | Quality Guard on every field |
| 10M+ SKU scale | Token limits, no batching | Slows above 50k SKUs | Built for 10M+, batched intelligently |
| Per-channel output formats | One generic output | Channel templates, no AI | AI-aware per channel |
| Governance and audit trail | No versioning, no roles | Strong | Full audit trail and role-based |
| Ready for AI-driven commerce | No structured output | Built for storage, not for AI agents | Schema.org + GTIN + complete |
See AI enrichment in action
Every enrichment task runs on your real catalog — here is what it looks like inside WISEPIM.
What's inside the platform
Eight specialized features that together form one end-to-end enrichment platform: generation, validation, translation, and governance.
Enrich product data with AI
The core enrichment engine: descriptions, titles, metadata, and filling missing attributes.
Learn moreAI Automation
Automate your workflows: trigger enrichment when a product is created, a supplier updates data, or on a set schedule.
Learn moreAI Chat (Wise Chat)
Talk to your catalog in plain language to search, edit, or enrich products without clicking through menus.
Learn moreAutomated product translation
High-quality translations into 93+ languages with consistent brand voice and terminology control.
Learn moreQuality Guard
Automatic checks on every AI output before publishing: completeness, compliance, and channel rules.
Learn morePrompt Lab
Build, test, and manage your own enrichment prompts. Ideal for category teams who need full control.
Learn moreContent Logic
Rules-based content: dietary tags, seasonal copy, and marketplace-specific overrides applied automatically.
Learn moreEAN / Barcode enrichment
Start with a barcode and get a fully enriched product record, combining supplier data lookups with AI completion.
Learn moreHow 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.
Input
Bring data in from anywhere
- E-commerce platforms
- Existing PIM systems
- Marketplaces
- CSV / Excel feeds
- XML feeds
- REST API
- 50+ supplier sources
- GS1-validated lookups
- Image and spec retrieval
- Built-in DAM included
- Bynder, Cloudinary, Brandfolder
- Folder uploads and S3
- Image variants per channel
AI core
AI tuned for catalogs
- Schema-aware field matching
- Auto-normalised types
- Multi-model routing
- Brand-voice content generation
- Fact-checking against source data
- Industry taxonomy
- Brand voice and glossary
- Locale-specific cultural data
- Conversion intelligence
Optimisation
Quality, reach, discoverability
- 93+ languages
- Brand voice preserved
- Locale-aware terminology
- Channel-tuned titles
- Schema.org structured output
- Completeness
- Channel readiness
- SEO and discoverability
- Conversion potential
Distribution
Sign it off, then push it
- Approval workflows
- Audit trail per SKU
- E-commerce platforms
- Existing PIM systems
- Marketplaces
- CSV / Excel exports
- XML exports
- REST API
- Webhook-driven
- Stock-level reconciliation
- Per-channel format adaptation
Analytics
Insights from every stage, fed straight back into the pipeline.
Automation
Triggers, flows, and approvals across every layer.
Foundation
What the stack runs on.
Hover for a summary. Click any layer for details.