How to Categorize Products for Afound

Understanding Afound Product Categorization

Afound is H&M Group's off-price fashion marketplace, offering discounted products from over 300 brands including H&M, COS, & Other Stories, Arket, and external premium fashion labels. Operating primarily in Sweden and expanding across the Nordics, Afound provides a curated shopping experience for value-conscious fashion consumers seeking quality brands at reduced prices. Our AI-powered categorization API helps brands and sellers automatically classify products into Afound's fashion-focused taxonomy with exceptional accuracy.

The Afound marketplace presents unique opportunities for fashion brands looking to move excess inventory and reach price-sensitive shoppers in the Nordic region. Unlike traditional fashion retailers, Afound specializes in off-price merchandise, requiring categorization that emphasizes brand recognition, original pricing context, and seasonal relevance. Proper product categorization ensures your items appear correctly across all shopping paths, from brand-focused navigation to category browsing and style-based discovery. Each product must be accurately categorized to maximize visibility among Afound's fashion-forward customer base.

Manual categorization for Afound presents specific challenges related to the off-price model. Products must be categorized with proper brand attribution, original retail price references, and accurate fashion taxonomy placement. The platform organizes products by gender, category, brand, and price reduction level. Our enterprise API addresses these challenges by leveraging machine learning models trained on Nordic and European fashion taxonomies, ensuring your products achieve optimal placement within Afound's category structure for maximum discoverability.

Afound Fashion Taxonomy

Afound organizes its product catalog using a fashion-focused taxonomy that prioritizes brand discovery and style categories. The hierarchy starts with gender and product type, then drills into specific categories and brand collections. Understanding this system is essential for effective product placement on Afound's off-price platform.

The taxonomy follows a gender-first approach where products are organized into Women, Men, Kids, and Home sections. Within each section, products are categorized by type (Clothing, Shoes, Accessories, Beauty) and then by specific category (Dresses, Jackets, Sneakers, etc.). Brand attribution plays a significant role, with dedicated brand shops for major labels. For example, a women's summer dress follows the path: Women > Clothing > Dresses > Summer Dresses, with additional brand tagging for discovery through brand-focused navigation.

Popular Afound Categories

API Integration Guide

Integrating our Afound categorization API into your inventory management system is straightforward. We provide RESTful endpoints that accept product information and return detailed categorization results optimized for Afound's fashion taxonomy.

import requests

def categorize_for_afound(product_description, api_key):
    base_url = "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php"
    params = {
        "query": product_description,
        "api_key": api_key,
        "data_type": "afound"
    }
    response = requests.get(base_url, params=params)
    return response.json()

# Example usage
result = categorize_for_afound(
    "COS Women's Wool Blend Oversized Coat Navy Blue Size Medium",
    "your_api_key_here"
)
print(f"Category: {result['category']}")

async function categorizeForAfound(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: 'afound'
    });
    const response = await fetch(`${baseUrl}?${params}`);
    return response.json();
}

// Example usage
categorizeForAfound('& Other Stories Leather Ankle Boots Black', 'your_api_key')
    .then(result => console.log('Category:', result.category));