Magento Opensearch and AI Winning Combinaiton

Summary

This demo showcases how to enhance search personalization on Magento using Open Search. The presenter demonstrates creating an order while logged in as a privileged customer, Selena Gomez. The process includes completing the checkout, running scripts, and using Python to manage the order data. The demo illustrates the power of Open Search in personalizing the search results by scoring customer orders. The possibilities extend beyond this demo, offering a range of options for managing customer, product, and order information, ultimately aiming to make search more personal and efficient.

Takeaways

• 😀 Magento uses OpenSearch as a search platform for e-commerce, and the demo shows how to enhance search functionality.
• 😀 The demo is performed on Magento but can be applied to any e-commerce platform using OpenSearch or advanced search indexers.
• 😀 The process begins with logging in as a privileged customer (Selena Gomez) to place an order.
• 😀 The demo walks through the checkout process, where customer details such as name, address, and contact info are provided.
• 😀 After placing the order, an account is created for the customer to maintain the customer base.
• 😀 The order data is registered with the database by running an indexer script in the Magento home directory.
• 😀 Python scripts are then used to register the data and perform indexing on the database.
• 😀 A series of scripts are run to ensure successful indexing and debugging, with minor issues mentioned that are unlikely to occur in other installations.
• 😀 The search query shows that Selena Gomez has placed an order, and a score of 02 is assigned to this order, reflecting search relevancy.
• 😀 The demo emphasizes that additional functionalities like product, order, and customer information can be queried through extended capabilities.
• 😀 The speaker invites questions, comments, and clarifications, encouraging further engagement on the topic of making search personalized again.

Q & A

What is the primary focus of this demo?

The demo focuses on reusing OpenSearch technology to make e-commerce search personal and more effective. It demonstrates how this can be done using Magento, though the approach is applicable to any platform utilizing OpenSearch or advanced search indexers.

What does the demo showcase with regards to customer interactions?

The demo shows how a customer, Selena Gomez, can log in, create an order, and interact with the e-commerce platform. It highlights the process of completing a purchase, creating an account, and integrating with OpenSearch for personalized search results.

How is the order created in the demo?

The order is created by first logging in as Selena Gomez, entering her customer details such as address, phone number, and payment information. Once the order is placed, the account is created and the necessary steps are followed to process the data.

What is the purpose of running the indexer in the demo?

Running the indexer ensures that the newly created order is properly registered in the database. It updates the system so that the new data is indexed and can be used by OpenSearch for search personalization.

Why are Python scripts used in the demo?

Python scripts are used to interact with the database and process the order data. These scripts help register the data from the database and run queries to ensure that the information is accurately handled and indexed.

What issues were faced during the demo?

A minor hiccup was encountered with the installation, causing a small error during the process. However, the issue was not expected to occur in most installations and was resolved without significant impact.

How does OpenSearch personalize the search results in this demo?

OpenSearch personalizes the search results by considering additional tokens and factors associated with the customer's order. For example, in the demo, Selena Gomez's order is indexed with a specific score, reflecting personalized results based on her preferences and past interactions.

What additional functionalities can be extended based on this demo?

This demo is just a starting point. The functionality can be extended to query not only for customer orders but also for product information, customer details, and other relevant data, thus enhancing the personalized search experience across various aspects of the e-commerce platform.

How is the OpenSearch functionality helpful for store managers?

Store managers can benefit from OpenSearch functionality by querying customer information, order details, and product data. It allows for more efficient management and insight into store operations, enabling better decision-making and personalized customer service.

What does the statement 'Let's make search personal again' signify in the context of the demo?

'Let's make search personal again' signifies the goal of using OpenSearch to enhance the search experience by making it more personalized. The demo illustrates how e-commerce platforms can move away from generic search results and instead provide users with more relevant and individualized content.