Automating Order Status Emails Using Shopify API and Lyzr

In this article, I’ll explain in detail how I constructed a Python-based order status email generator using ShopifyAPI and LYZR. E-commerce businesses often need to update customers about their order status. Automating this process can save significant time and enhance customer communication. With the help of ShopifyAPI for order details and LYZR to generate the email content, this automation becomes seamless and efficient.

Key Features

Shopify API Integration: Seamlessly interacts with the Shopify platform to retrieve order details, providing accurate and up-to-date information.
Lyzr Integration: Leverages advanced text generation capabilities to create personalized and engaging email content tailored to each order status.
Customizable Email Templates: While not explicitly shown in the provided code, the script can be extended to incorporate predefined email templates for different order statuses, ensuring consistency and efficiency.
Dynamic Content Generation: The script dynamically generates email content based on the specific order information, making each email relevant and informative.
Potential for Automation: With further development, the script can be integrated into a larger automation system to send order status updates automatically, saving time and resources.
Flexibility: The script can be adapted to different e-commerce platforms by replacing the Shopify API with the appropriate integration.
Scalability: The code can be scaled to handle a large volume of orders by optimizing the API calls and text generation process.

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Code Implementation

First, I installed the necessary Python libraries, ShopifyAPI, lyzr, and aenum. The ShopifyAPI library allows us to interact with Shopify’s API to manage store data, while lyzr provides advanced text generation capabilities.

Follow this link to create your demo shopify store with dummy data.

Library Installation

pip install --upgrade ShopifyAPI lyzr aenum

We begin by installing the required libraries: ShopifyAPI, lyzr, and aenum. These libraries provide functionalities for interacting with the Shopify API, text generation, and enumeration (used internally by some libraries).

Shopify API Session

import shopify
token = "<your shopify token>"
merchant = "<your shopify url>"
api_session = shopify.Session(merchant,"2021-10",token)
shopify.ShopifyResource.activate_session(api_session)

We import the shopify library and define the following variables:
token: This holds your Shopify API access token.
merchant: The URL of your Shopify store.
api_session: This creates a session object using the shopify.Session class, providing access to the Shopify API with your credentials.
We then activate the session using shopify.ShopifyResource.activate_session.

Order Details Retrieval

shopify.Order.find(6207936823386).attributes

We import the Order class from the shopify library.
We define a variable my_order that likely holds the order ID you want to retrieve information for.
The script then retrieves the order attributes using shopify.Order.find(my_order).attributes. This fetches details about the specific order you wish to use for the email.

Text Generation with lyzr

from lyzr import Generator

generator = Generator(api_key="<Your OPENAI_API_KEY>")
text = f"write a Email for order status for this order: {my_order}"
instructions = "Email for Order Status" 
persona = "Email Generator for Updating status for placed order"

elaborated_content = generator.generate(text, persona=persona, instructions=instructions)
print(elaborated_content)

We import the Generator class from the lyzr library.
We create a generator object by initializing it with your lyzr API key.
We construct the text prompt using an f-string, referencing the my_order variable to personalize the email content. The prompt instructs the generator to "write an Email for order status for this order."
We define additional variables:
instructions: This specifies the type of creative text format you want lyzr to generate (in this case, an "Email for Order Status").
persona: This tailors the content to a specific audience (here, "Email Generator for Updating status for placed order").
Finally, we call the generate method on the generator object, passing the text prompt, persona, and instructions. This generates the creative text content for the email based on the provided information.
The script concludes by printing the generated email content stored in the elaborated_content variable.