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Retail & E-Commerce Intelligence

Classify every product into Google, Shopify, Amazon and 7,912 buyer personas

One API call maps any product title and description into Google Shopping, Shopify, Amazon and eBay taxonomies simultaneously. Finetuned large language models deliver 99%+ classification accuracy across 54,000+ combined categories, with 7,912 buyer personas attached to every SKU and automated Shopify attribute assignment that eliminates manual product tagging entirely.

Contact Us Product Categorization API

Product Categorization API

Multi-taxonomy classification

AI-powered product classification into Google Shopping, Shopify and Amazon taxonomies with finetuned LLM models. Buyer personas, automated attribute assignment and personalized descriptions for every product in your catalog.

Google
5,574
Shopify
10,000+
Amazon
39,004
Personas
7,912
Explore platform
The Challenge

Product data is the bottleneck in every retail operation

Retailers manage thousands to millions of SKUs across multiple marketplaces, each enforcing its own taxonomy, attribute schema and listing requirements. Manual categorization does not scale beyond a few hundred products per day. Errors in product classification directly reduce discoverability, increase ad spend waste, trigger feed rejections and lower conversion rates across every channel.

Manual product tagging does not scale

A merchandiser tagging 200 products per day cannot keep pace with catalogs of 50,000 or 500,000 SKUs. Manual tagging also introduces inconsistency: different team members assign different categories to the same product type. The Product Categorization API classifies thousands of products per minute with consistent, taxonomy-compliant outputs across every item in the catalog.

Cross-marketplace taxonomy mismatch

Google Shopping uses 5,574 product categories. Shopify uses 10,000+ categories with mandatory attributes. Amazon uses 39,004 browse nodes. A single product needs a different classification path on each platform. The API maps every product into all three taxonomies simultaneously, eliminating the need for separate category mapping tables maintained by hand.

Missing buyer persona data

Product feeds contain titles, descriptions and prices. They rarely contain information about who buys the product and why. The 7,912 buyer personas generated by the API connect each product to specific customer profiles: fitness enthusiasts, budget-conscious parents, professional photographers, home office workers. Persona data powers recommendation engines and targeted advertising.

Product feed rejections waste ad spend

Google Merchant Center rejects listings with incorrect or missing category assignments. Amazon suppresses products with incomplete browse node paths. Feed errors mean products never appear in search results and shopping ads never run. Automated classification with 99%+ accuracy eliminates feed rejection as a bottleneck to revenue.

Taxonomy Mapping

One product, four taxonomy outputs

Every product sent to the API returns its classification path in Google Shopping, Shopify and Amazon taxonomies simultaneously, along with buyer persona assignments from the 7,912-persona library. The table below shows how common retail product types map across all four classification dimensions in a single API response, demonstrating the depth and precision of the multi-taxonomy output.

Product TypeGoogle ShoppingShopifyAmazonBuyer Persona
Running ShoesApparel > Shoes > AthleticSporting Goods > Athletics > RunningClothing > Men > Athletic > RunningMarathon Runners
Wireless HeadphonesElectronics > Audio > HeadphonesElectronics > Audio > HeadphonesElectronics > Portable AudioCommuter Audio
Organic CoffeeFood > Beverages > CoffeeFood > Beverages > CoffeeGrocery > Coffee, Tea > GroundSpecialty Coffee
Smart WatchElectronics > WearablesElectronics > Wearable TechElectronics > Wearable TechFitness Trackers
Baby StrollerBaby > Strollers > StandardBaby > Travel > StrollersBaby > Strollers > StandardNew Parents
Winter JacketApparel > Outerwear > CoatsClothing > Outerwear > JacketsClothing > Women > CoatsWinter Sports
Gaming MouseElectronics > Peripherals > MiceElectronics > Gaming > AccessoriesComputers > Accessories > MiceCompetitive Gamers
Yoga MatSporting Goods > Exercise > MatsSporting Goods > Yoga > MatsSports > Exercise > YogaYoga Practitioners
All classifications generated by the Product Categorization API in a single request. Google Shopping 5,574 categories, Shopify 10,000+, Amazon 39,004.
"Nike Air Max 90"Apparel > Shoes > Athletic · Sneaker Collectors · Urban Athletes
"Breville Espresso"Kitchen Appliances · Small Appliances · Espresso · Home Baristas
"Lego Star Wars Set"Toys > Building Sets · Collectors · Gift Buyers · High Intent
"Dyson V15 Detect"Home Appliances · Vacuums · Premium Home Care · Tech-Forward Homeowners
Retail Models

Classification workflows for every retail model

Whether you sell on marketplaces, through your own storefront or across a unified omnichannel operation, the Product Categorization API adapts to each retail model's specific taxonomy, attribute schema and listing requirements. Select a tab to explore the classification workflow for your channel mix.

Marketplace
Direct-to-Consumer
Omnichannel

Amazon Browse Node Assignment

The API assigns products to Amazon's 39,004 browse nodes with full category path depth. Correct node assignment determines search visibility and Buy Box eligibility. Products are placed in the most specific subcategory to maximize organic ranking and reduce competition within the node.

Google Merchant Center Feeds

Products are classified into Google Shopping's 5,574 categories with the correct google_product_category ID. Accurate category assignment improves ad relevance scoring, reduces cost-per-click and prevents feed rejections that block products from appearing in Shopping ads entirely.

eBay Listing Optimization

Map products to eBay's category tree with item specifics pre-populated. The API suggests the most relevant eBay category based on product attributes, improving search placement within eBay's internal search engine and structured data filters that buyers use to narrow results.

Shopify Store Auto-Tagging

The Shopify taxonomy integration assigns products to 10,000+ categories and automatically populates the mandatory attributes each category requires. Auto-tagging ensures consistent navigation structure, correct filtering options and compliance with Shopify's evolving attribute schema requirements.

Buyer Persona Targeting

Each product receives buyer persona assignments from the 7,912-persona library. DTC brands use persona data to build granular audience segments for email marketing campaigns, Facebook Ads and Google Ads lookalike audiences, and personalized on-site product recommendations that match discovery moments to customer identity profiles and historical purchase patterns.

Personalized Product Descriptions

The API generates optimized product descriptions based on the assigned category, attributes and buyer persona. Descriptions adapt to the target audience: technical specifications for professional buyers, lifestyle language for consumer audiences, safety details for parents.

Unified Product Data Model

Omnichannel retailers need a single source of truth for product data that feeds every sales channel consistently. The API provides a canonical classification that maps to Google Shopping, Shopify, Amazon and custom internal taxonomies simultaneously, so the PIM system holds one authoritative record per SKU with all channel-specific category paths and attribute sets derived from it automatically.

Cross-Channel Consistency

When a product is categorized differently on Amazon versus your website versus your physical store's POS system, analytics break. The API enforces consistent category assignment across all channels, enabling accurate cross-channel attribution, inventory planning and merchandise performance reporting.

Catalog Expansion Automation

Adding a new vendor's 5,000 products to your omnichannel catalog requires classification into every channel's taxonomy. The API processes bulk product feeds, classifying thousands of items per minute into all required taxonomies and generating the attributes, personas and descriptions each channel demands.

Full taxonomy documentation
Platform Capabilities

Six classification layers in every API call

The Product Categorization API combines taxonomy classification, attribute extraction, buyer persona matching and description generation into a single endpoint. Each capability addresses a different retail workflow, from feed compliance to audience targeting and content generation.

Google Shopping Taxonomy

5,574 product categories with full hierarchical paths. The API returns the google_product_category ID required by Google Merchant Center. Deep subcategory assignment improves ad relevance: "Sporting Goods > Athletics > Running > Running Shoes" instead of generic "Apparel." Products reach the right searchers at lower cost-per-click.

Google Shopping

Shopify Auto-Categorization

10,000+ Shopify categories with automated attribute assignment. The API does not just classify the product; it also fills in the mandatory and recommended attributes each Shopify category requires. Material, color, size, age group, gender and dozens of product-specific attributes populated automatically from the product title and description.

Shopify integration

Amazon Browse Nodes

39,004 Amazon categories covering every product vertical from Electronics to Industrial and Scientific. The API assigns the most specific browse node for maximum visibility in Amazon's search algorithm. Correct node assignment is a prerequisite for organic ranking, advertising eligibility and category-specific detail page features.

Amazon categories

7,912 Buyer Personas

Each product is matched to specific buyer personas from a library of 7,912 detailed profiles. A camping tent maps to "Outdoor Adventure Families," "Ultralight Backpackers" and "Festival-Goers." Persona data transforms a product catalog into a customer segmentation engine for targeted ads, email flows and product recommendations.

Buyer personas

Custom Taxonomy Support

Retailers with proprietary category trees can submit their own taxonomy to the API. The finetuned LLM model learns the structure, naming conventions and classification logic of your custom taxonomy. Products are then classified into your internal categories alongside standard marketplace taxonomies in the same API request.

Custom taxonomies

Personalized Descriptions

Generate product descriptions optimized for each buyer persona and sales channel. The API produces descriptions that adapt tone, vocabulary and emphasis based on whether the target reader is a professional buyer, a casual consumer, a parent shopping for children or a technical specialist evaluating specifications. Descriptions include SEO-optimized long-tail keywords derived from the product's taxonomy assignment.

Use Cases

How retail teams use product classification data

From marketplace feed management and product discovery optimization to personalized marketing and cross-border expansion, the same classification engine powers different operational workflows depending on the team, sales channel and business model.

01

Google Merchant Center Feeds

Automate product feed generation with correct google_product_category IDs for every SKU. The API eliminates the most common cause of feed rejection: incorrect or missing category assignment. Products reach Google Shopping faster, ad relevance scores improve and cost-per-click decreases as products land in the right auction.

02

Shopify Store Auto-Tagging

New products added to a Shopify store are automatically classified into the correct category with all mandatory attributes filled. Store navigation, filtering and search work correctly from the moment a product is published. No manual tagging means the merchandising team focuses on strategy instead of data entry.

03

Amazon Listing Optimization

Assign products to the most specific Amazon browse node to improve organic search ranking. The difference between "Electronics" and "Electronics > Computers > Accessories > Mice > Gaming Mice" is the difference between page 40 and page one. The API makes that distinction across 39,004 nodes automatically.

04

Buyer Persona Targeting

Build marketing campaigns around the buyer personas attached to each product. A brand selling kitchen appliances can segment its email list by "Home Baristas," "Meal Prep Enthusiasts" and "Professional Chefs" based on which products each customer purchased. Persona data from 7,912 profiles enables granular audience segmentation that product categories alone cannot provide.

05

Product Recommendations

Power recommendation engines with taxonomy and persona data. Products in the same category and targeting the same buyer persona are natural cross-sell candidates. A "Running Shoes" product matched to "Marathon Runners" naturally recommends GPS watches, energy gels and compression socks from the same persona cluster.

06

Cross-Border E-Commerce

International expansion requires mapping products to the specific taxonomy each market's dominant platform uses. The API classifies into Google Shopping, Shopify, Amazon and custom regional taxonomies in a single API call, so a product catalog prepared for Amazon US is simultaneously ready for Amazon DE, Shopify UK and Google Shopping France without requiring separate classification runs or manual regional category mapping.

Classification Pipeline

From product title to marketplace-ready listing

Four steps transform raw product data into fully classified, attribute-enriched and channel-ready product records. Process products individually via real-time API or in bulk through batch upload, with the same classification quality and taxonomy coverage at any scale.

01
Upload
Product titles, descriptions and images from your PIM, ERP or CSV feed
02
Classify
Finetuned LLM assigns Google, Shopify, Amazon and custom taxonomy paths
03
Enrich
Buyer personas, attributes, descriptions and SEO keywords attached
04
Publish
Push to Google Merchant Center, Shopify, Amazon and every sales channel
Platforms

Three platforms powering retail intelligence

The Product Categorization API handles product taxonomy classification, attribute assignment and buyer persona matching. The Website Categorization API adds competitor analysis, audience demographic profiling and technology detection for market research. The URL Categorization Database delivers market sizing, trend analysis and e-commerce analytics across 120M domains.

Product Categorization API Website Categorization API URL Categorization Database
Scale

Enterprise-grade product classification infrastructure at scale

Trusted by retailers, marketplace aggregators, feed management platforms and enterprise e-commerce operations processing millions of products per month across every major marketplace taxonomy and custom category tree.

5,574
Google Shopping Categories
10,000+
Shopify Categories
39,004
Amazon Browse Nodes
7,912
Buyer Personas
99%+
Classification Accuracy
<100ms
API Response Time
LLM
Finetuned Models
300+
Organizations Since 2007

Classify your product catalog against all major taxonomies

Send us a sample of your product data, titles, descriptions and any existing category assignments. We will return the full multi-taxonomy classification for each item across Google Shopping, Shopify, Amazon and your custom taxonomy, with buyer personas and automated attributes populated, so your merchandising team can evaluate classification accuracy, attribute coverage and persona depth before committing to a full catalog integration.

Contact Us Product Categorization API