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
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User data collection (e.g. product interest).
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Onboarded profile data (e.g. gender).
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Integration with Bedrock API.
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Integration with June ESP via API.
Setup Components
Identity Resolution, Data Management & Activation:
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Identify users, collect, enrich, and aggregate behavioural and contextual data in real-time.
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Inline aggregated behavioural and profile data (also from external sources) in real-time.
Workflow Automation:
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Use RabbitMQ event trigger to execute defined actions.
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Handle reads and writes from / to internal data sources (e.g. PostgreSQL).
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Create jobs and prompts with input data as required by Bedrock API.
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Manage Bedrock API.
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Manage June ESP API for email delivery.
Use Case Demo
The following demo includes a description of the workflow steps: