GenAI-led Email Personalisation

The following use case gives an example of GenAI-led email personalisation using Teavaro’s FunnelManager Workflow Automation in combination with real-time Identity Resolution, Data Management, and Activation, and leveraging Amazon Bedrock and email service provider June.

It delivers behavioural event trigger-based hyper personalised messages via email.

These messages can be delivered across any engagement channel, for example mobile app push notifications, chatbot engagements, etc.

Prerequisites

• User data collection (e.g. product interest).

• Onboarded profile data (e.g. gender).

• Integration with Bedrock API.

• Integration with June ESP via API.

Setup Components

Identity Resolution, Data Management & Activation:

• Identify users, collect, enrich, and aggregate behavioural and contextual data in real-time.

• Inline aggregated behavioural and profile data (also from external sources) in real-time.

Workflow Automation:

• Use RabbitMQ event trigger to execute defined actions.

• Handle reads and writes from / to internal data sources (e.g. PostgreSQL).

• Create jobs and prompts with input data as required by Bedrock API.

• Manage Bedrock API.

• Manage June ESP API for email delivery.

Use Case Demo

The following demo includes a description of the workflow steps: