Alpha Quantum’s e-commerce solutions automatically classify products across Google Shopping, Shopify, Amazon, eBay, and 100+ marketplace taxonomies. 5,574+ categories, 200+ languages, sub-100ms response time. Transform messy seller-submitted listings into clean, navigable, conversion-driving catalog entries.
E-commerce platforms with millions of SKUs from thousands of sellers face a fundamental structural problem: every seller categorizes products differently, and no manual team can normalize at the scale modern marketplaces demand. The downstream costs — broken search, irrelevant recommendations, poor conversion rates, and regulatory non-compliance — compound silently until they become impossible to ignore.
Our Product Categorization API takes a free-text product title — in any of 200+ languages — and returns structured category assignments across Google Shopping, Shopify Product Type, Amazon Browse Nodes, eBay Category IDs, and over 100 additional marketplace taxonomies. No structured input required: the model handles abbreviations, slang, multilingual descriptions, and the creative misspellings that real seller data contains. Each classification includes confidence scores so your pipeline can route low-confidence items for human review while auto-approving the rest.
When your marketplace ingests products from 10,000 sellers, each using their own naming conventions and category assignments, the result is a catalog no shopper can navigate. Our API normalizes every listing to a single, consistent taxonomy — your taxonomy, or any of the 100+ we support natively. Products land in the right categories automatically. Search relevance improves because the taxonomy is consistent across all sellers. Recommendation engines perform better because they train on structured data instead of seller guesses.
Classification is only the beginning. For every product, our API also extracts structured attributes — brand, material, size, color, weight, intended use — and assigns buyer personas that describe who is most likely to purchase. These enrichments power personalization engines, dynamic pricing models, and merchandising strategies that go far beyond what category labels alone can deliver. The same API call that classifies a product also tells you who to show it to and why.
Generic taxonomies do not fit every business. A specialty retailer’s category tree looks nothing like Amazon’s. Our API supports custom classifier training on your own taxonomy — upload your category tree and a set of training examples, and we build a model that classifies into your specific categories with the same accuracy and speed as our built-in taxonomies. Custom models integrate seamlessly with the same API endpoint, requiring zero code changes in your pipeline.
One API endpoint serves product categorization, attribute extraction, taxonomy mapping, buyer persona assignment, and product matching. Here is what it covers.
Classify products into Google’s full product taxonomy — 5,574+ categories used by Google Shopping, Google Merchant Center, and Performance Max campaigns. Accurate classification means your products appear in the right Shopping tab results, your Smart Bidding targets the right audience, and your feed passes Merchant Center validation without manual fixes.
Map products across Shopify Product Types, Amazon Browse Nodes, eBay Category IDs, Walmart Product Types, Etsy Categories, and 100+ additional marketplace taxonomies. Sellers who list on multiple platforms need consistent categorization across all of them — our API handles the cross-taxonomy mapping so your catalog stays consistent everywhere it appears.
Product titles arrive in 200+ languages, often mixing languages within a single listing. Our model understands German product descriptions, Japanese size notations, Arabic brand names, and the Spanglish hybrids common in US-Latin American cross-border commerce. No translation step required — the model classifies directly from the source language with native accuracy.
Identify duplicate listings across sellers, detect counterfeit product descriptions, and match incoming products against your existing catalog. Our matching engine goes beyond string comparison — it understands that “Nike Air Max 90 White/Black Men’s 10” and “Nike AM90 Wht Blk Sz 10 Mens” are the same product, even when the titles share almost no exact tokens.
Extract structured attributes from unstructured product titles: brand, material, size, color, weight, intended audience, season, pattern, and more. Attributes that sellers leave blank in structured fields are often present in the free-text title — our model finds them and fills the gaps, giving your search and filtering features the structured data they need to work.
Classify individual products in real time via REST API with sub-100ms response times — fast enough for inline catalog ingestion. Process bulk catalogs of millions of products via batch endpoints with parallel processing and webhook callbacks when the job completes. Same model, same accuracy, two processing modes that fit different operational workflows.
Product categorization at enterprise scale requires models trained on massive, diverse datasets. Here is the foundation that powers every classification.
Most integrations take less than a day. A single API endpoint handles classification, attribute extraction, and persona assignment — no complex orchestration required.
Pass a free-text product title to the API — in any of 200+ languages. No structured input required. The API handles abbreviations, multilingual titles, and the creative formatting real sellers use.
The model assigns the product to categories across Google Shopping, Shopify, Amazon, and every other taxonomy in your subscription. Each assignment includes a confidence score for auditability.
Structured attributes are extracted from the title: brand, material, size, color, weight, season. Buyer personas describe who is most likely to purchase this product and why.
A single JSON response returns category assignments, confidence scores, extracted attributes, and buyer personas. Your pipeline routes, merchandises, and personalizes from one API call.
When your platform ingests a new product listing, the API receives the raw title and processes it through multiple classification layers simultaneously. The response includes everything your catalog, search, and recommendation systems need — in a single synchronous call that completes in under 100 milliseconds.
Because the model handles unstructured input natively, you do not need to pre-process, translate, or normalize product titles before sending them. The messier your seller data, the more value the API delivers — and at marketplace scale, seller data is always messy.
Most e-commerce teams have tried automated categorization before — often with underwhelming results. Here is where the state of the art actually sits.
Marketplaces integrate our API directly into their seller onboarding pipeline. When a new seller uploads a product feed, every listing is automatically classified, normalized, and enriched before it reaches the catalog. Sellers no longer need to navigate complex category trees manually. Products land in the right categories from day one. Catalog quality improves without adding headcount to the taxonomy team.
Consistent categorization is the foundation of effective search. When products are classified accurately and uniformly, faceted navigation works as expected, search filters return relevant results, and shoppers find what they are looking for faster. Conversion rates improve because the path from search to purchase is shorter and more intuitive. Mis-categorized products that used to hide in wrong categories become discoverable.
Google Merchant Center, Facebook Commerce, and Microsoft Shopping all require products in their specific taxonomy formats. Our API maps products to all three simultaneously, ensuring your advertising feeds pass validation, your products appear in the right Shopping tab results, and your Smart Bidding targets the right audience segments. Feed errors that used to take days of manual cleanup are eliminated at the classification step.
Sellers expanding into new markets face taxonomy mismatches across platforms and languages. A product categorized for Amazon US does not automatically map to Amazon Japan, Mercado Libre, or Allegro. Our API handles cross-taxonomy mapping natively, classifying products into marketplace-specific categories regardless of the source language. Sellers expand to new markets without re-categorizing their entire catalog.
Retailers and brands use our API to classify competitor product catalogs for pricing analysis, assortment gap identification, and market share estimation. By classifying competitor products into the same taxonomy as your own catalog, you can compare category-level metrics directly — identifying categories where competitors outperform you and gaps in their assortment that you can exploit.
Some jurisdictions require specific product classifications for tax calculation, customs duties, and import/export compliance. Incorrect categorization can result in wrong tax rates, customs delays, or regulatory penalties. Our API classifies products into regulatory-aligned taxonomies (HS codes, UNSPSC, GPC) alongside commercial taxonomies, ensuring compliance is handled at the same step as catalog enrichment.
Try the product categorization demo with your own data, or talk to our team about custom taxonomy training and enterprise pricing.
