How to Categorize Products for Kiabi Marketplace

Understanding Kiabi Product Categorization

Kiabi is France's leading family fashion retailer, founded in 1978 in Roncq near Lille with a revolutionary concept: making fashion accessible to everyone through affordable, stylish clothing for the entire family. The brand has grown into an international powerhouse with over 500 stores across 25 countries and a robust e-commerce platform serving millions of customers seeking quality fashion at competitive prices. Kiabi's slogan "La mode à petits prix" (Fashion at small prices) perfectly encapsulates its mission to democratize fashion for families across all income levels. Understanding Kiabi's product categorization system is essential for sellers aiming to reach French families seeking affordable, trendy clothing options.

Kiabi's marketplace taxonomy is structured around family demographics, organizing products primarily by who will wear them rather than by product type alone. The platform recognizes that family shoppers typically browse by family member first, then refine by garment type, size, occasion, and style. This demographic-first approach means that accurate categorization requires understanding not only what a product is but who it's designed for, including age-appropriate sizing, gender-specific styling, and life-stage considerations such as maternity wear or newborn essentials. Our AI categorization system is specifically trained to recognize these demographic signals and ensure products reach their intended audience.

The affordable fashion segment presents unique categorization challenges compared to premium retailers. Kiabi's customers are highly value-conscious and often shop for multiple family members in a single session. They expect clear, practical categorization that helps them quickly find appropriate items within budget. Products must be accurately classified not only by type and demographic but also by practical attributes such as washability, durability, and suitability for specific activities like school, sports, or special occasions. Our machine learning models understand these practical considerations and ensure products are placed in categories that align with how Kiabi's family-focused customers actually shop.

Kiabi's strong presence in children's and baby clothing requires particularly precise categorization. The platform maintains detailed age-based subcategories for children's wear, from newborn (0-3 months) through teenagers, with appropriate size ranges and style considerations for each age group. Maternity wear forms another specialized category with its own subdivisions. Our AI has been extensively trained on children's clothing terminology, French age designations, and the specific product attributes that matter to parents shopping for growing children, ensuring accurate placement across Kiabi's comprehensive family fashion taxonomy.

Kiabi Taxonomy Structure

Kiabi's product taxonomy reflects its family-focused retail model, organizing products primarily by demographic before drilling down into product types and styles. The classification system begins with the primary audience segment (Femme, Homme, Fille, Garçon, Bébé, Maternité), then subdivides into product categories (Hauts, Bas, Robes, Chaussures), and finally into specific product types with additional filtering by size, color, occasion, and price point. This hierarchical structure aligns with how families naturally shop, making categorization accuracy essential for product discoverability.

Children's categories feature particularly detailed age-based segmentation. Unlike adult sizing which uses standard measures, children's clothing on Kiabi is organized by both age range and developmental stage. Products for babies (0-36 months) are further subdivided by developmental milestones, while children's wear (2-14 years) accounts for the rapid growth and changing style preferences across this age span. Our AI understands these nuances and correctly places products within the appropriate age-based subcategories based on size ranges, style indicators, and product descriptions.

Primary Kiabi Categories

Kiabi's taxonomy evolves with fashion seasons and family lifestyle trends. The platform regularly introduces new categories for emerging product types and seasonal specialties such as school uniforms (rentrée scolaire), holiday collections, and character-licensed children's wear. Our AI models are continuously updated to reflect these taxonomy changes, ensuring your products benefit from accurate placement in both established and newly introduced category segments.

API Integration Guide

Integrating our Kiabi categorization API into your product listing workflow is straightforward. Our RESTful endpoints accept product information in French or English and return detailed categorization results including Kiabi category paths, demographic assignments, age ranges, confidence scores, and alternative classifications optimized for the family fashion market.

import requests

def categorize_for_kiabi(product_description, api_key):
    """
    Categorize a product for Kiabi French family fashion marketplace.
    Supports French and English product descriptions.
    """
    base_url = "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php"
    params = {
        "query": product_description,
        "api_key": api_key,
        "data_type": "kiabi"
    }
    response = requests.get(base_url, params=params)
    return response.json()

# Example usage with French product description
result = categorize_for_kiabi(
    "Robe imprimée fleurs fille 8-14 ans coton bio rentrée scolaire",
    "your_api_key_here"
)
print(f"Catégorie: {result['category']}")
print(f"Confiance: {result['confidence']}")

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

// Example usage with family fashion product
categorizeForKiabi(
    'Pyjama dinosaures garçon 4 ans coton manches longues hiver',
    'your_api_key'
).then(result => {
    console.log('Kiabi Category:', result.category);
    console.log('Confidence Score:', result.confidence);
});

curl -X GET "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php" \
  -d "query=Body bébé fille 6 mois coton rose avec broderie lapin" \
  -d "api_key=your_api_key_here" \
  -d "data_type=kiabi"