AI-Powered Product Categorization for Apparel & Accessories

Apparel & Accessories Product Categorization

Fashion and apparel represent one of the largest and most complex e-commerce verticals, with constantly evolving trends, seasonal collections, and intricate attribute requirements. From haute couture dresses and designer handbags to athletic footwear and everyday basics, the apparel industry demands precise categorization that accounts for gender, age group, style, occasion, material, and countless other attributes. Our AI-powered API automatically classifies fashion products into the correct taxonomy categories across all major marketplaces, ensuring your products reach the right audience and maximize sales potential.

Apparel categorization presents unique challenges that generic classification systems simply cannot handle. A "black dress" could be a cocktail dress, a maxi dress, a bodycon dress, or a casual sundress, each requiring different taxonomy placement for optimal discoverability. Similarly, footwear must be classified by type (sneakers, boots, heels, sandals), intended use (athletic, casual, formal, outdoor), and target demographic (men's, women's, unisex, children's). Our machine learning models understand these nuances, having been trained on millions of fashion product listings from leading retailers worldwide to deliver exceptional classification accuracy across all apparel subcategories.

Whether you're operating a fashion-focused e-commerce store, managing apparel inventory within a larger retail catalog, or running a marketplace connecting fashion brands with consumers, our API streamlines the categorization process. We support automatic classification into Google Product Taxonomy with full attribute mapping, Amazon Browse Nodes optimized for fashion, Shopify Standard Product Taxonomy with variant handling, and eBay fashion categories. The apparel vertical demands both accuracy and attribute richness, and our API delivers both, enabling dynamic filtering and improved search visibility for your fashion products.

Fashion Taxonomy Hierarchy

Fashion and apparel follow a complex hierarchical taxonomy that organizes products by type, gender, age group, and style. Understanding this structure is essential for e-commerce success, as shoppers typically filter by gender first, then browse by category (dresses, tops, shoes), and finally refine by style, occasion, or brand. Our API navigates this complexity automatically, ensuring each product is classified into the most specific and relevant category path for maximum discoverability.

The diagram below illustrates how Apparel & Accessories branches into major product categories, each containing gender-specific and style-specific subcategories. Fashion taxonomy depth can extend to 5-6 levels, from "Apparel & Accessories > Clothing > Women's Clothing > Dresses > Cocktail Dresses" to specific style variations. Our AI understands these deep category structures and automatically determines the complete path based on product descriptions, brand information, and style signals.

Tier 2 Fashion Categories

Each Tier 2 category branches into detailed subcategories. Clothing divides by gender and garment type, Shoes by style and gender, Jewelry by type and material. Our API automatically determines the complete category path including gender targeting, age group, and style attributes for comprehensive fashion product classification.

API Integration for Fashion Products

Integrating fashion product categorization into your e-commerce workflow is straightforward with our RESTful API. Send your product title and description, and receive accurate category classifications for Google Shopping, Amazon, Shopify, and eBay. The API handles the complexity of fashion taxonomy including gender detection, style classification, and occasion mapping automatically.

import requests

def categorize_fashion(product_description, api_key):
    """Categorize fashion and apparel products across multiple taxonomies"""
    base_url = "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php"

    # Get Google Shopping category
    params = {
        "query": product_description,
        "api_key": api_key,
        "data_type": "google"
    }
    response = requests.get(base_url, params=params)
    return response.json()

# Example: Categorize a women's designer dress
result = categorize_fashion(
    "Michael Kors Women's Floral Print Midi Wrap Dress Navy Blue Size 8",
    "your_api_key_here"
)
print(f"Category: {result['category']}")
# Output: Apparel & Accessories > Clothing > Women's Clothing > Dresses

async function categorizeFashion(productDescription, apiKey) {
    const baseUrl = 'https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php';
    const params = new URLSearchParams({
        query: productDescription,
        api_key: apiKey,
        data_type: 'google'
    });

    const response = await fetch(`${baseUrl}?${params}`);
    return response.json();
}

// Example: Categorize men's sneakers
categorizeFashion(
    'Nike Air Max 270 Men Running Shoes White Black Size 10.5',
    'your_api_key'
).then(result => {
    console.log('Category:', result.category);
    // Output: Apparel & Accessories > Shoes > Athletic Shoes > Running Shoes
});

curl -X GET "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php" \
  -d "query=Coach Signature Canvas Crossbody Bag Brown Gold Hardware" \
  -d "api_key=your_api_key_here" \
  -d "data_type=google"

# Response:
# {"category": "Apparel & Accessories > Handbags, Wallets & Cases > Handbags", "confidence": 0.98}