Advanced Product Tagging API: Revolutionizing Retail with AI

In the dynamic world of retail and e-commerce, staying ahead of the curve is not just an option but a necessity. The ezML's Advanced Product Tagging API represents a leap forward in this regard, offering a sophisticated solution for automating product categorization using AI-driven image tagging.

Transforming Product Management with AI

In traditional retail and e-commerce settings, categorizing products is often a manual, time-consuming process. The introduction of AI and machine learning in this domain has paved the way for more efficient, accurate, and scalable solutions.

How the Product Tagging API Works

• Easy Integration: The API is designed for easy integration into your existing systems. Using the image_to_base64 function, images are converted into a base64 encoded string, which is then used as input for the API.

• AI-Driven Tagging: Once the image is uploaded, the API utilizes advanced machine learning algorithms to analyze the image and generate relevant tags.

• Accurate Results: The tags, along with their confidence scores, provide an accurate understanding of the content within the image. This system is particularly beneficial for product categorization in retail, where precision is key.

Integrating Product Tagging with ezML:

• Account Setup: Create an account on ezML to get 2500 free deployment credits: ezML Account Setup

• Authorize ezML’s API: Find your client_key and client_secret in Settings.

import requests

url = "https://gateway.ezml.io/api/v1/auth"

payload = {
    "client_key": "your_client_key",
    "client_secret": "your_client_secret",
    "ttl": 24 # optional (default 24), hours until token expires
}

res = requests.post(url, json=payload)

res.json()["access_token"] # use in Authorization header for all API requests

• API Configuration: Use the Product (Image) Tagging API: Image Tagging API Documentation

def image_to_base64(image_path: str) -> str:
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')

url = "https://gateway.ezml.io/api/v1/functions/tag_image"

payload = {
    "image": image_to_base64("<path to image>"),
}

headers = { 
    "Authorization": f"Bearer {res.json()['access_token']}",
}

res = requests.post(url, json=payload, headers=headers)

for obj in res.json()["result"]:
    print(f"Tag: {obj['tag']}")
    print(f"Confidence: {obj['conf']}")

• Embedding in Your Application: Query the API in your project!

For any help or questions please join our discord: ezML Discord

Applications in Retail and E-commerce

• Automated Product Listings: For e-commerce platforms, this API can automate the process of creating product listings, saving significant time and reducing errors.

• Enhanced Customer Experience: By accurately tagging products, customers can enjoy a more refined search and discovery experience, leading to increased satisfaction and sales.

• Inventory Management: The API can be a valuable tool in inventory management, helping to quickly categorize and organize products.

Embracing the Future of Retail

The ezML Advanced Product Tagging API is not just about automating a task; it's about transforming the way businesses approach product management and customer engagement. By leveraging the power of AI, retail and e-commerce businesses can unlock new levels of efficiency and customer insight.

In an industry where time and accuracy are of the essence, embracing such innovative solutions is the key to staying competitive and relevant.