AI that actually knows e-commerce
Generic AI guesses at categories, channels, and shoppers. WISEPIM doesn't.
Behind every listing sit 1,600+ curated sources: vertical research, channel rules, taxonomy systems, conversion psychology. Combine with your brand and your analytics, and the output reads like a category expert wrote it.
A knowledge brain built for product content
Other PIMs ask an AI to write copy with no context. We give it a category expert as a co-pilot. Four kinds of curated knowledge sit behind every description, translation, and feed.
Industry verticals
Fashion, electronics, beauty, sports, furniture, food, industrial. Each one has its own buyers, conversion-driving attributes, and category quirks. The three attributes that sell a dress aren't the three that sell an industrial fastener. We know which is which.
Brand and customer knowledge
Across 12 dimensions covering brand identity, voice, audience, decision drivers, emotional triggers, sustainability, and channel goals. You set them once. We apply them to every product.
Channel and feed specs
Amazon, Bol, Zalando, Walmart, eBay, Etsy, Mirakl, Shopify, AliExpress, ASOS, Google Shopping, TikTok, Pinterest, ChatGPT Shopping, Perplexity, Microsoft Copilot, Idealo, Channable. We track the field requirements, character limits, and ranking quirks for each.
Taxonomies and quality engines
Eleven taxonomies including Amazon Browse Tree, eClass, ETIM, GS1-GPC, HS Code, and Schema.org. Plus 12 quality engines covering dedup, completeness, image quality, titles, governance, and AI-shopping readiness.
What we know about your industry
A fashion buyer reads a product page differently than a power-tool buyer. We mapped the buyers, conversion patterns, regulations, and channel expectations across 16 verticals. The AI uses the right one.
Where your brand meets 1,600+ data sources
An off-the-shelf AI doesn't know your customer or your category. We combine what only you know with what we've spent years curating, then ship the result to every channel.
What you bring
- Brand identity, voice and tone
- Ideal customer profile
- Sales and traffic analytics
- Channel and market goals
- Product expertise
What WISEPIM brings
- 16 industry verticals mapped
- 12 brand-knowledge dimensions (319 fields)
- 26+ channel and feed specifications
- 11 taxonomy systems (eClass, ETIM, GS1, others)
- Conversion psychology and cultural libraries
Output your competitors can't match. Every product, every channel, every language.
Generic AI vs WISEPIM
Same prompt, two different brains. Here's what gets applied behind the words.
How we compile our 1,600+ sources
Not a vague claim. Here's what's actually in the brain, categorized and counted.
- Channel intelligence38
- Industry and knowledge675
- Customer and brand909
Channel intelligence
- 14Marketplace official spec docs
Amazon, Bol.com, Zalando, eBay, Etsy, Walmart, AliExpress, ASOS, Mirakl, Shopify, Google Shopping, and more
- 9Search and AI-shopping guidelines
Google, Bing, ChatGPT Shopping, Perplexity, Microsoft Copilot, TikTok, Pinterest, Facebook, Apple Business Connect
- 15+Feed-management partner specs
Channable, Idealo, Kelkoo, Beslist, PriceRunner, Prisjakt, Trovaprezzi, Vergelijk.nl, Daisycon, Awin, Kieskeurig, TradeTracker, and more
Industry and knowledge
- 11Industry taxonomy bodies
eClass, ETIM, GS1-GPC, UNSPSC, HS Code, Amazon Browse Tree, Schema.org, GPC, and more
- 640+Industry vertical research
16 verticals × ~40 datapoints each — buyer personas, attribute priorities, conversion patterns, regulatory context, channel preferences
- 12Catalog management deep-dives
Variant management, attribute modeling, multi-channel sync, lifecycle, migration, scaling, hierarchy, enrichment, bulk ops
- 12Data quality engines
Dedup, completeness, image quality, title optimization, governance, validation, AI-shopping readiness
Customer and brand
- 319Brand and customer knowledge fields
Across 12 dimensions captured per project, covering brand voice, ICP, decision drivers, and emotional triggers
- 90+Cultural and psycholinguistic libraries
Tone, idioms, market-specific framing per supported language
- 500+Customer rollout learnings
Distilled from real WISEPIM customers managing 50M+ products in production
Where our translations land
We translate into 90+ languages. These 21 have curated hubs covering local idioms, payment habits, and channel preferences.
Hover any dot for the language and reach. The remaining languages follow the same playbook with lighter market notes.
Curious what's inside?
Most of our knowledge runs the AI quietly in the background. A small part we publish for free. Here's the tip of the iceberg.
Industry insights
What sells in fashion, electronics, beauty, and 13 more verticals.
Browse allBuyer personas
Who they are, what they care about, what makes them buy.
Browse allE-commerce dictionary
Terms, acronyms, and channel jargon, written in plain language.
Browse allChannel requirements
What every marketplace and feed asks for, field by field.
Browse allTranslation hubs
Per-language pages on fluency, idioms, and market context for 90+ locales.
Browse allCurated prompt library
Real prompts we use for enrichment, copywriting, and quality checks.
Browse all