Amazon Alexa Skill for Airlines
Publication date: March 10, 2021 (Diagram history)
As conversational AI technology evolves, consumer demands evolve as well. A multi-channel digital strategy is no longer optional for airlines.
This architecture helps airlines deliver a secure, integrated experience for booking and managing air travel seamlessly through Amazon Alexa. The solution integrates with Passenger Service System (PSS) providers like Amadeus, Sabre, and Navitaire.
Amazon Alexa Skill for airlines diagram
The following steps describe the architecture:
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A traveler activates the airline's Alexa Skill. During the first interaction, Alexa prompts authentication and pushes a card to the Amazon Alexa App.
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The authentication flow uses Amazon S3, API Gateway, and Lambda. Lambda retrieves auth provider information. Amazon Cognito authenticates the customer. CloudFront ensures optimal network latency.
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Use API Gateway, Application Load Balancer, and Amazon Elastic Container Service to deploy your natural language understanding (NLU) engine at scale. Use DynamoDB and Amazon ElastiCache for low-latency content and conversation state access.
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CloudWatch, Amazon Data Firehose, and Amazon S3 capture and store application logs. Use Lambda for real-time analytics stored in Amazon Aurora. Use SageMaker AI for AI/ML models on conversation trends. Store results in DynamoDB.
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Use Amazon S3 PUT triggers and Step Functions to orchestrate a workflow that updates application content and Alexa Skill configuration.
Further reading
For additional information, see the following resources:
Diagram history
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| Change | Description | Date |
|---|---|---|
Initial publication | Reference architecture diagram first published. | March 10, 2021 |
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