How to Categorize Products for Kohl's Marketplace

Understanding Kohl's Product Categorization

Kohl's Corporation operates over 1,100 department stores across the United States, making it one of the largest department store chains in the country. As a hybrid retailer with both brick-and-mortar locations and a robust e-commerce platform, Kohl's requires precise product categorization that serves both in-store shoppers and online customers. Our AI-powered categorization API helps brands and sellers automatically classify products into Kohl's comprehensive taxonomy with exceptional accuracy.

The Kohl's marketplace presents unique opportunities for vendors selling apparel, footwear, home goods, beauty products, toys, and accessories. Unlike pure-play e-commerce platforms, Kohl's integrates online and offline shopping experiences through services like Buy Online Pick Up In Store (BOPIS) and Kohl's Cash rewards. Proper product categorization ensures your items appear correctly across all shopping channels, from the website and mobile app to in-store kiosks and inventory systems. Each product must be accurately categorized to maximize visibility to Kohl's core demographic of value-conscious family shoppers.

Manual categorization for Kohl's presents significant challenges, particularly for vendors managing diverse product catalogs spanning multiple departments. Kohl's taxonomy reflects its department store heritage, organizing products into familiar shopping sections like Women's, Men's, Juniors, Kids, Home, Beauty, and Shoes. However, within each department are numerous subcategories requiring specific product attribute alignment. Our enterprise API solves these challenges by leveraging machine learning models trained specifically on retail department store taxonomies, ensuring your products land in the optimal categories for maximum discoverability and sales conversion.

Kohl's Department Store Taxonomy

Kohl's organizes its product catalog using a traditional department store taxonomy that mirrors the in-store shopping experience. This hierarchical structure starts with broad departments and drills down into specific product types, sizes, and styles. Understanding this system is essential for effective product listing and optimization on Kohl's marketplace.

The taxonomy follows a department-first approach where products are organized by gender, age group, and lifestyle segment before drilling into specific categories. For example, a women's casual dress follows the path: Women's > Dresses > Casual Dresses > Midi Dresses. Kohl's places significant emphasis on size inclusivity, with dedicated plus-size, petite, and tall sections requiring accurate categorization. The deeper and more specific your categorization, the better your products will perform in filtered searches and department browse navigation.

Popular Kohl's Categories

Kohl's regularly updates its taxonomy to accommodate seasonal merchandise, emerging fashion trends, and new brand partnerships. Our AI models are continuously trained on the latest Kohl's taxonomy updates, ensuring your products are always categorized according to current department store standards and seasonal planning cycles.

API Integration Guide

Integrating our Kohl's categorization API into your vendor management system is straightforward. We provide RESTful endpoints that accept product information and return detailed categorization results including department codes, category paths, confidence scores, and alternative classifications optimized for Kohl's retail taxonomy.

import requests

def categorize_for_kohls(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": "kohls"
    }
    response = requests.get(base_url, params=params)
    return response.json()

# Example usage
result = categorize_for_kohls(
    "Women's Sonoma Goods For Life Supersoft V-Neck Tee",
    "your_api_key_here"
)
print(f"Category: {result['category']}")

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

// Example usage
categorizeForKohls('Croft & Barrow Classic-Fit Dress Shirt', 'your_api_key')
    .then(result => console.log('Category:', result.category));

curl -X GET "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php" \
  -d "query=Nike Air Max 270 Men's Running Shoes" \
  -d "api_key=your_api_key_here" \
  -d "data_type=kohls"