Generic models guess 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.
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.
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.
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.
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.
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.
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.
A stock LLM 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.
Output your competitors can't match. Every product, every channel, every language.
Same prompt, two different brains. Here's what gets applied behind the words.
Not a vague claim. Here's what's actually in the brain, categorized and counted.
Amazon, Bol.com, Zalando, eBay, Etsy, Walmart, AliExpress, ASOS, Mirakl, Shopify, Google Shopping, and more
Google, Bing, ChatGPT Shopping, Perplexity, Microsoft Copilot, TikTok, Pinterest, Facebook, Apple Business Connect
Channable, Idealo, Kelkoo, Beslist, PriceRunner, Prisjakt, Trovaprezzi, Vergelijk.nl, Daisycon, Awin, Kieskeurig, TradeTracker, and more
eClass, ETIM, GS1-GPC, UNSPSC, HS Code, Amazon Browse Tree, Schema.org, GPC, and more
16 verticals × ~40 datapoints each — buyer personas, attribute priorities, conversion patterns, regulatory context, channel preferences
Variant management, attribute modeling, multi-channel sync, lifecycle, migration, scaling, hierarchy, enrichment, bulk ops
Dedup, completeness, image quality, title optimization, governance, validation, AI-shopping readiness
Across 12 dimensions captured per project, covering brand voice, ICP, decision drivers, and emotional triggers
Tone, idioms, market-specific framing per supported language
Distilled from real WISEPIM customers managing 50M+ products in production
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 locales follow the same playbook with lighter market notes.
Most of our knowledge powers the AI in the background. A small part we publish for free. Here's the tip of the iceberg.
What sells in fashion, electronics, beauty, and 13 more verticals.
Browse allWho they are, what they care about, what makes them buy.
Browse allTerms, acronyms, and channel jargon, written in plain language.
Browse allWhat every marketplace and feed asks for, field by field.
Browse allPer-language pages on fluency, idioms, and market context for 90+ locales.
Browse allReal prompts we use for enrichment, copywriting, and quality checks.
Browse all