Amazon Personalize

Amazon Personalized extension allows store merchants to integrate the Amazon Personalization feature into their website. It gives the store owners real-time and machine learning product recommendations. The product will be visible to the customers based on their search history, recently searched products, etc.

We have integrated the AWS Personalize Machine Learning algorithm API feature in this extension to provide the customers with personalized product recommendations. 

Business Value

The extension is handy for store merchants when they want to offer their customers a feature of product recommendations based on their previous searches. It gives the buyer a unique shopping experience by making the desired products easily visible.

The customers will get a different and personalized view for the products. The extension generates highly relevant and personalized product recommendations. Customers will see products they are more likely to be interested in, increasing the likelihood of conversion and customer satisfaction.

Features List

• Products result will show according to Personalize data.
• Personalized and recommended products will be shown to logged-in customers
• It also works in real-time and shows product recommendations immediately to customers.
• Integrates AWS Personalize Machine Learning algorithm to process customer data.
• Even it helps merchants to provide individualized recommendations and personal shopping experiences to each customer.

How Does The Extension Work?

Initial Configuration Settings

After the successful installation of the extension, the admin will have to navigate to the extension’s configuration section to make the initial configuration settings. 

Here, the admin will have to enable the Amazon Personalize feature for the store, enter the campaign ARN, event Id, Access key Id, secret key, and select the region for the AWS account. 

Lastly, save the configuration.

Store front Working

After the admin has configured the extension from the backend, the logged-in customers will be able to see their personalized product recommendations based on their website activity.  

The advanced machine learning technique observes the activity of every single buyer and delivers them with the personalized suggestion of their interest. So, the extension will deliver the personalized recommendations based on each users activity on the website.

Benefits

Customers

• Customers will see products they are more likely to be interested in, increasing the likelihood of conversion and customer satisfaction.
• Customers can experience more accurate and tailored product recommendations based on their past interactions and preferences.
• The overall shopping experience of customers becomes more engaging and enjoyable.

Admin 

• It allows e-commerce businesses to dynamically deliver product recommendations that are most relevant to each customer, leading to higher engagement and improved customer retention.
• By displaying personalized recommendations during the shopping journey, customers are encouraged to explore and add more items to their carts, reducing the likelihood of cart abandonment.

Support Policy

• You get free 3 months of technical support included.
• You can buy a 6 or 12 months extended support agreement.
• For issues, please create a ticket or send an email to support@webkul.com
• Free lifetime updates of the module.