Meet the Experience Assistant: AI Built into Icecat PIM

🤖 Experience Assistant: Welcome! Here’s a friendly overview of what Icecat PIM is and where to start.

What is Icecat PIM?

Icecat PIM is a Product Information Management system built for e-commerce and distribution. It’s the single place where your team can:

• Create & enrich products — build your catalogue, add descriptions, images, videos, attributes and categories. Icecat PIM can also automatically pull in rich content from the Icecat database, with AI-assisted enrichment and translation.
• Manage pricing — set purchase and sell prices per warehouse and condition, configure VAT rates, currencies and pricing rules.
• Import data — bring in supplier and distributor product feeds, daily price files and Icecat content on schedules or on demand.
• Export & distribute — send your catalogue out as files (CSV, XML, etc.) or through direct connectors to platforms like Magento, Shopify, WooCommerce, Shopware, Amazon, Google Merchant Center and more.
• Manage orders — a built-in order layer lets you track sales and purchase orders alongside your catalogue.

Who typically uses it?

Where to begin

Here are the recommended first steps:

1. Explore the Dashboard — After logging in, your dashboard gives you live KPI widgets: product counts, enrichment status, channel activity, recent imports/exports and more.
2. Check your Products — Browse your existing catalogue, or start creating products. You can filter by brand, category, warehouse and more.
3. Set up Categories & Brands — Organise your catalogue structure so products are easy to find and export cleanly.
4. Configure Imports — If you have supplier feeds, set up an import to bring products in automatically.
5. Set up Exports / Channels — Connect to your webshop or marketplace and start distributing product data.
6. Use the built-in Help module — Go to Sidebar → Help inside the interface for guided walkthroughs, video tutorials and release notes.

Feel free to ask me anything specific—whether it’s looking up products, checking your dashboard statistics, managing brands or configuring imports and exports. I’m here to help!

Sources

1. User Guides › Getting Started › Overview
2. User Guides › Sources › Imports
3. User Guides › Exports › Template Exports
4. User Guides › Access › Login
5. User Guides › Help › Help

🤖 Experience Assistant: Great question! Here’s a thorough breakdown of both filter types and how to use them well.

The Import Pipeline

Every import flows through these stages in order:

File → Pre-filter → Mapping / Naming Conversions → Post-filter → Write to catalogue

Understanding where each filter sits is the key to using them correctly.

Pre-filters — The First Gate

What they do:
Pre-filters look at each incoming row before any mapping, enrichment or naming conversions happen, and decide whether to let the row through or drop it immediately.

Critical rule:
They operate on raw, supplier-side values — the warehouse code, brand name, category path and product type exactly as they appear in the feed. If you write a canonical PIM name here, nothing will match.

Best used for:

• Cutting a large supplier feed down to only what you actually sell (specific warehouses, brands, categories and product types)
• Blocking junk rows — test SKUs, archived brands and irrelevant categories — before they waste processing time
• Speeding up imports by skipping work on rows you’d discard later anyway

How rules work:

• Multiple rules combine with OR — to allow brands A, B and C, create three separate rules.
• Fields within a single rule combine with AND — e.g. brand = “Acme” AND warehouse = “EU01”.
• An empty field means “all” (no constraint on that dimension).
• Wildcards/LIKE syntax are not supported — use the exact supplier value.

Behaviour options:
Each pre-filter set is either Include (only matching rows pass) or Exclude (matching rows are dropped).

⚠️ If you switch a set to Include without adding any rules first, every row will be dropped.

Post-filters — The Final Gate

What they do:
Post-filters run after mapping and naming conversions are complete, so each row already carries fully resolved, canonical PIM data (real brand IDs, real category IDs, real prices, stock levels, etc.).

Best used for:

• Decisions that depend on canonical/mapped values, e.g. “drop products without a recognised brand”
• Filtering by stock level, price range and Icecat content availability
• Keeping only products in specific PIM categories (including sub-categories)

Post-filter rules are much richer than pre-filter rules — you can filter on:

• Category (with sub-category inclusion and wildcard matching)
• Brand, Product type, Warehouse, Channel, Condition and Definition
• Purchase price range, Stock level range and Restock interval
• Whether the product has Icecat content
• Whether the EAN is complete

Multiple rules use OR; fields inside one rule use AND — the same logic as pre-filters.

Useful tip:
Use the Show selected products button on the post-filter list to preview exactly which products would be in or out of scope before running an import.

Side-by-Side Summary

Practical Tips

• Use pre-filters first, post-filters second. Pre-filters are cheaper — they skip processing entirely for dropped rows.
• Check the logs. If rows go missing, open Export/Import Insights — both filter types record exactly which rule dropped each row and why.
• Reuse pre-filter sets. The same set can be attached to multiple imports.
• Auto-create pre-filter rules from your Naming Conversions — the Create prefilters bulk action on the brand/category conversion list generates matching rules automatically.

Sources

1. User Guides › Sources › Import Pre Filters
2. User Guides › Sources › Post Filters
3. User Guides › Sources › Import Pre Filters
4. User Guides › Sources › Import Pre Filters
5. User Guides › Sources › Import Pre Filters
6. User Guides › Sources › Imports
7. User Guides › Sources › Imports
8. User Guides › Sources › Post Filters

🤖 Experience Assistant: Here’s your catalogue readiness overview across 19,007 products:

✅ Product Status — Excellent

Nearly your entire catalogue is Online — great shape for an export.

⚠️ Category Coverage — Needs Attention

• 17,860 products (94.0%) have at least one category assigned.
• 1,147 products (6.0%) have no category — these may display poorly or be filtered out in your webshop depending on its setup.

⚠️ Enrichment — Mostly Good

• 18,205 products (95.8%) are Icecat-enriched ✅
• 802 products (4.2%) are not yet enriched — they may lack descriptions, specifications or images.
• No manually enriched products on record.

📦 Last Export — Recent

The most recent product export was a JSON run completed on 15 July 2026 at 14:41.

The last CSV product export was on 7 May 2026.

🔑 Summary & Recommendations

Your catalogue is largely export-ready, but there are two gaps to address before the next webshop export:

1. 1,147 uncategorized products — assign categories so these products are correctly navigable in your webshop.
2. 802 un-enriched products — review these for missing content (descriptions, images and specifications).

Would you like me to dig deeper into either of these issues—for example, listing the uncategorized products or filtering by un-enriched ones?