Most PIMs store data. WISEPIM is built AI-native — generating, normalising, and validating product content at the scale spec-heavy retail demands. Trusted by industrial, hardware, electronics, and cosmetics brands managing 10M+ SKUs.
Catalogs that break legacy PIMs run cleanly on WISEPIM. The AI is tuned for high-attribute records, not toy-scale demos.
Every AI-generated field passes attribute completeness, regulatory, and channel-specific checks before it can publish.
Native-quality translations with terminology control, brand voice persistence, and locale-specific schema awareness.
AI-native, not AI-bolted-on. The architecture is the difference.
We already serve spec-heavy retail — industrial parts, hardware, consumer electronics, cosmetics — at 10M+ SKU scale. The same platform handles grocery, FMCG, and general merch.
Legacy PIMs added an AI tab in 2024. WISEPIM was designed AI-first: every workflow, every validation, every output is shaped around what the model does well — and what it doesn't.
Schema.org-compliant attributes, validated GTINs, machine-readable specs. The substrate ChatGPT, Gemini, Perplexity, and Claude need to actually recommend your products.
What it really means to be AI-native, in the rows that matter.
| Generic ChatGPT / LLM 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 & audit trail | No versioning, no roles | Strong | Full audit trail + role-based |
| Agentic-commerce-ready data | No structured output | Storage-shaped, not agent-shaped | Schema.org + GTIN + complete |
Eight specialised features that compose into one end-to-end enrichment platform — generation, validation, translation, and governance.
The core enrichment engine — descriptions, titles, metadata, attribute filling.
Learn moreWorkflow orchestration: trigger enrichment on product create, supplier update, or schedule.
Learn moreConversational interface to your catalog — query, edit, enrich in natural language.
Learn moreNative-quality translations into 93+ languages with brand voice and terminology control.
Learn moreAutomatic validation of every AI output before publish — completeness, compliance, channel rules.
Learn moreBuild, test, and version your own enrichment prompts — power-user mode for category teams.
Learn moreRules engine for conditional content: dietary tags, seasonal copy, marketplace-specific overrides.
Learn moreStart with a barcode, get a fully enriched product record — supplier-data lookups + AI completion.
Learn moreFour 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.
Bring data in from anywhere
AI tuned for catalogs
Quality, reach, discoverability
Sign it off, then push it
Pull insights from every stage and route them back.
Triggers, flows, and approvals across every layer.
What the stack runs on.
Hover for a summary. Click any layer for details.
What buyers ask before adopting WISEPIM as their AI enrichment platform.
Can't find the answer you're looking for? Please get in touch with our team.
Contact SupportBring a sample feed and we'll enrich it live. You'll see the difference in 15 minutes — output that handles spec-heavy categories, validates compliance, and reads cleanly to AI shopping agents.