Feed Hub

Feed Hub is where your product catalog becomes a live feed. Pick a channel, map your fields, set your refresh strategy, and get a URL that Google, Meta, and any other platform can pull directly. No manual exports needed.

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Creating a feed

Click Create Feed from the Feed Hub overview. The two-step wizard walks you through:

1. Choose a channel: pick from the built-in channel presets (see below). WISEPIM sets sensible defaults so your feed works right away.
2. Configure the basics: give the feed a name, set the product language and currency, and choose a refresh strategy. You can fine-tune mappings, filters, and rules at any time after.

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Available channels

Feed Hub ships with built-in presets for a wide range of channels: Shopping engines and marketplaces

• Google Shopping: Google Merchant Center product feed for Shopping ads and free listings
• Meta (Facebook and Instagram): Facebook and Instagram Commerce product catalog feed
• Bing Shopping: Microsoft Merchant Center product feed for Bing Shopping
• TikTok Shop: TikTok catalog for shopping ads and in-app commerce
• Bol.com: Dutch marketplace (coming soon)

AI shopping

• ChatGPT Shopping: discoverable in ChatGPT via OpenAI’s Agentic Commerce Protocol
• Microsoft Copilot: reaches Copilot.com, Bing, MSN, and Edge via Universal Commerce Protocol
• Perplexity: discoverable in Perplexity AI’s shopping recommendations

Price comparison sites

• Idealo: leading European price comparison platform
• Beslist: Netherlands’ largest price comparison platform
• Vergelijk: Dutch product and price comparison engine
• Kieskeurig: Dutch product review and comparison platform
• Kelkoo: European shopping comparison engine
• PriceRunner: Scandinavian price comparison
• Prisjakt: Nordic price comparison
• Trovaprezzi: Italy’s top price comparison platform

Affiliate networks

• Awin: global affiliate marketing network
• Daisycon: Dutch affiliate marketing network
• TradeTracker: European performance marketing and affiliate platform

Wholesale & trading partners

• BMEcat 2005 (ETIM): standardised B2B catalog for wholesalers, buying groups, and ERP systems. Exports your ETIM classes and features straight into BMEcat 2005 XML. See BMEcat feeds below.

Pinterest: product catalog for shopping pins and ads Browse the Channels section in Feed Hub to see what each channel requires and how many fields are needed.

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Product scope

By default, all active products in your project are included in a feed. Use Product Scope to narrow it down:

• Categories: select one or more product categories
• Product Families: filter by product family
• Include out-of-stock products: toggle this off to automatically exclude products without available stock

The scope panel shows a live product count so you know exactly what will end up in the feed.

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Filter rules

Filter Rules let you automatically exclude products that don’t meet your quality bar. Rules are applied on top of the product scope. Available rule types: Use the Preview button to see how many products would be included or excluded before saving your rules.

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Field mappings

Field Mappings connect your product data to the fields a channel expects. Each channel has required, recommended, and optional fields. For each channel field, you can set the source to:

• Product Field: map directly to a standard product field (title, description, price, etc.)
• Attribute: map to a custom product attribute
• Template String: compose a value using multiple fields, for example `{{brand}} {{name}} - {{color}}`
• Static Value: set a fixed text that applies to all products
• Computed: use a dynamically calculated value

You can also add a fallback value for any field. If the primary source is empty, the fallback is used instead.

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Auto-mapping

Click Auto-map to have WISEPIM suggest mappings based on matching field names. Click AI Auto-map to let AI match your product fields to the channel’s requirements automatically. This is useful when field names don’t match up exactly.

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BMEcat feeds for trading partners

If your wholesalers or buying groups ask for a BMEcat catalog, pick the BMEcat 2005 (ETIM) channel when creating a feed. BMEcat works differently from the other channels in one important way: there is no field mapping to configure. The feed exports your ETIM classes and their materialised features directly, so what ends up in the catalog is decided by the ETIM class each product family is linked to. Instead of mappings, a BMEcat feed has its own configuration card:

• Pin to ETIM release: pin the export to one release so your partner’s import spec keeps matching, or leave it on Automatic to always use the newest installed release.
• Catalog metadata: how the catalog identifies itself to your trading partner - supplier name and ID (GLN, D-U-N-S, or a supplier-specific code), territory, catalog ID/version/name, and optionally a buyer name and ID for a catalog made for one specific buyer. Everything is optional; empty fields fall back to your project and feed name.

After each generation, the card shows how many articles, features, and values were exported. If products were skipped because their family is not linked to an ETIM class, the card tells you exactly how many and links you to classification to fix it. The feed quality panel also gains an ETIM conformance dimension, so you can see how well your products actually satisfy their classes before your partner’s import tool tells you.

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Feed quality

After generating a feed, the Feed Quality panel scores how well your feed is set up. The score is broken down across six dimensions:

• Required Fields: are all mandatory channel fields mapped?
• Recommended Fields: how many of the channel’s recommended fields are filled?
• Title Quality: are titles descriptive and within the channel’s length requirements?
• Product Completeness: how complete are your product records overall?
• Image Coverage: what share of products have at least one image?
• GTIN/EAN Coverage: what share of products have a valid GTIN or EAN?

Scores run from Poor to Excellent, with concrete suggestions for what to fix. Click Recalculate to refresh the score after making changes.

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Feed validation

Feed Validation checks whether each individual product meets the channel’s field requirements. Click Validate to run a check. You’ll see a list of errors and warnings by product, so you can fix issues before the channel rejects your feed.

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Channel readiness

Feed validation tells you about one feed. Channel Readiness answers the bigger question: across every channel you sell on, how much of your catalog is actually ready to be listed? It has its own page. Pick the channels you care about and each one gets a card showing how ready your products are for it:

• A percentage ready for that channel, and how many required fields are tracked.
• Coverage bars per required field, so you can see which field is holding you back.
• Chips that count the products missing each field, for example the number of products with no GTIN.
• A Fix button that opens the AI fix drawer with exactly those products preloaded, so you can fill the missing field in one pass.

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AI optimization

The AI Optimization panel gives you three tools to improve your feed automatically:

• Optimize Titles: AI generates better titles for every product in the feed, tailored to what the channel expects
• Optimize Descriptions: AI rewrites product descriptions to be more complete and channel-appropriate
• AI Audit: AI reviews your feed setup and surfaces quick wins, including issues to fix and opportunities to improve coverage and quality
• Suggest Schedule: AI recommends when to refresh your feed based on when the channel typically fetches it

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Feed settings and refresh strategy

Each feed has three refresh strategies:

• Manual: you trigger regeneration yourself
• On change: the feed regenerates automatically whenever a product is updated
• Scheduled: the feed regenerates on a fixed schedule (hourly, daily, weekly, monthly, or a custom interval)

You can also set the product language and currency per feed, which is useful when you run separate feeds for different markets.

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Generation history

Generation History tracks every time a feed was generated. For each run you can see the version number, timestamp, number of products, file size, and duration. Select any two versions and click Compare to see a side-by-side diff. This is useful for spotting unexpected changes.

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Feed analytics

Feed Analytics shows how external platforms are accessing your feeds:

• Total Fetches: how many times the feed URL has been requested
• Unique Platforms: how many distinct platforms are fetching it
• Peak Hours: when fetches typically happen
• Cache Hit Rate: how often the cached version was served
• Platform Breakdown: which platforms are fetching and how often
• Access Timeline: fetch activity over time
• Quality Score Trend: how your feed quality score has changed across generations

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XML import

Feed Hub also supports importing products from external XML feeds. Go to XML Import, upload a file or paste a URL, and WISEPIM analyzes the XML structure and suggests field mappings automatically using AI. You can save a completed mapping as an Import Profile for reuse or schedule it to run automatically. Supported formats: .xml, .rss, .atom, .bmecat, and .zip (supplier catalog archives are unpacked automatically). Large supplier catalogs are fine - they just take a little longer to analyze.

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BMEcat catalogs import themselves

When you upload a supplier’s BMEcat file, WISEPIM recognizes the format and shows a BMEcat catalog detected summary before the mapping step: the ETIM release the catalog declares, the article count, and every ETIM class it references (each one clickable, so you can inspect the class first). The payoff: a BMEcat catalog carries its own ETIM classification, so classes and features come across without any mapping work. ETIM <FEATURE> blocks are imported automatically into materialised attributes - the field mapping below the summary only covers scalar fields such as title, price, and EAN.

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Detected structure

Before anything is imported, WISEPIM shows you what it found in the file: how many items the feed contains, the path to each element, and a sample value from the data. Check the item count against what you expect. If it looks wrong, the feed is structured differently than assumed and it is better to catch that here.

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Review the mappings

AI proposes a mapping for every field it recognized, each with a confidence chip. Accept the ones that look right, reject or change the rest. Spend your attention on the low-confidence rows: those are where a wrong guess would quietly land in your catalog.

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