AI-Powered Product Categorization for Electronics

Electronics Product Categorization

The electronics vertical is one of the most complex and rapidly evolving product categories in e-commerce. With thousands of SKUs spanning TVs, audio equipment, computers, smartphones, gaming devices, and smart home products, accurate categorization is essential for visibility and sales. Our AI-powered API automatically classifies electronics products into the correct taxonomy categories across all major marketplaces.

Electronics products require precise categorization due to the depth of subcategories and the technical nature of product specifications. A 4K OLED Smart TV needs to be classified differently than an LED monitor, and wireless Bluetooth headphones need different taxonomy placement than wired gaming headsets. Our machine learning models understand these nuances, trained on millions of electronics product listings to deliver exceptional classification accuracy.

Whether you're selling consumer electronics on Amazon, listing computer accessories on Shopify, or managing a Google Shopping feed for audio equipment, our API handles the complexity of electronics taxonomy mapping. We support automatic classification into Google Product Taxonomy, Amazon Browse Nodes, Shopify Standard Product Taxonomy, and eBay categories.

Electronics Taxonomy Hierarchy

Electronics follows a deep hierarchical taxonomy structure across all major e-commerce platforms. Products must be classified from broad categories like "Electronics" down to specific subcategories such as "Electronics > Audio > Headphones > Over-Ear Headphones > Wireless". Our API navigates this complexity automatically.

The diagram below shows how Electronics branches into Tier 2 categories, each containing dozens of further subcategories. Our AI understands the relationships between these categories and selects the most specific applicable classification for maximum search visibility.

Tier 2 Electronics Categories

Each Tier 2 category contains multiple Tier 3 and Tier 4 subcategories. For example, "Audio" branches into Headphones, Speakers, Amplifiers, Home Audio, Car Audio, and more. Our API automatically determines the full category path for your products.

API Integration for Electronics

Integrating electronics product categorization into your workflow is straightforward with our RESTful API. Simply send your product title and description, and receive accurate category classifications for Google Shopping, Amazon, Shopify, and eBay.

import requests

def categorize_electronics(product_description, api_key):
    """Categorize electronics 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 wireless headphone product
result = categorize_electronics(
    "Sony WH-1000XM5 Wireless Noise Canceling Over-Ear Headphones Bluetooth",
    "your_api_key_here"
)
print(f"Category: {result['category']}")
# Output: Electronics > Audio > Headphones > Over-Ear Headphones

async function categorizeElectronics(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 a smart TV
categorizeElectronics(
    'Samsung 65-Inch QLED 4K Smart TV QN65Q80C Neo Quantum HDR',
    'your_api_key'
).then(result => {
    console.log('Category:', result.category);
    // Output: Electronics > Video > Televisions > Smart TVs
});

curl -X GET "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php" \
  -d "query=Apple MacBook Pro 16-inch M3 Max Laptop 36GB RAM 512GB SSD" \
  -d "api_key=your_api_key_here" \
  -d "data_type=google"

# Response:
# {"category": "Electronics > Computers > Laptops", "confidence": 0.98}