Amazon Personalize for Magento 2

Integrate Amazon personalized with Magento store to serve the customers with better-personalized product suggestions.

• Allow users to get personalized product suggestions.
• Add Campaign ARN (Amazon Resource Name) it allows the admin to track and use AWS items and policies across AWS products and API calls.
• Add Event ID, Access Key ID, Secret ID, and Region to enable Amazon Personalized feature for an e-commerce store.

Every customer is unique so their choices Amazon Personalized Recommendations for Magento 2 is the only best solution for the complex algorithm of customer choice.

• One personalized system fit for all type of store customer.
• Provide product suggestions based on the customer's choice.
• Better lead nurturing using complex individualized algorithms.

It is a very complex process to deal with customer preference, but machine learning technology made it easy. It observes the user's store activity with numerous parameters and serves recommendations accordingly.

• Re-engages inactive leads.
• Personalization recommendations are better than any special ads.
• Personalization feature with store makes the marketing easy for merchants.

This extension facilitates the admin to retain customers using an automated relevant suggestion system. Individual customer suggestion means making the effort of tailoring service to a customer's specific expectations and underlying ambitions.

• Provide relevant suggestions to customers.
• Tailored recommendations help the customer in decision making.
• Auto-suggestion enhances customer acquisition.

Receive more orders and boost store sales by proving product suggestions to customers. observe customers' choice and preference based on their store activity through machine learning technology.

• Get more store orders through recommendations.
• Helpful in customer engagement.
• It gives the ability to admin to reach every customer with the specified deal based on their interest.

The admin of the Magento 2 store will be able to set up the data that will be used to communicate with AWS and populate the AWS Personalize’s data sets. For the same, the admin will go to the extension’s configuration settings. Here, the admin will be able to set up the configuration used for the customer, product, and interaction datasets. For each of them, the admin will add the -

• Bucket Name
• File Path
• DatasetArn
• Jobname
• RoleArn
• Populate the interaction model every time a customer places an order.