Skip to main content

AWS Solutions Library

Guidance for Enhancing the Customer Experience in Travel & Hospitality Using Amazon Bedrock

Go to sample code

Overview

This Guidance shows how you can improve operational efficiency in the travel & hospitality (T&H) industry by integrating generative artificial intelligence (AI) into customer service applications. Amazon Bedrock, a managed service to build generative AI applications, offers foundation models (FMs) to power chatbots that understand natural language queries and provide instant, contextual responses. Generative AI technology, such as large language models (LLMs), help your chatbots understand common inquiries and offer personalized assistance, freeing your support agents to focus on complex issues.

How it works

This architecture diagram demonstrates how organizations in the T&H industry can enhance their customer service experience and improve operational efficiency by integrating generative AI into their chat applications using Amazon Bedrock. The chat application can handle common inquiries, freeing agents to handle more complex issues.

Download the architecture diagram

Get Started

Deploy this Guidance

Use sample code to deploy this Guidance in your AWS account

Sample code

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Amazon CloudWatch proactively monitors your applications and infrastructure, tracks key metrics, and sets alarms. This service can help you identify anomalies, rapidly troubleshoot issues, and ensure your architecture operates at peak efficiency.

Read the Operational Excellence whitepaper

Amazon Cognito provides secure and simplified management of user identities and access for web and mobile applications. This minimizes the need for custom identity management code and enhances security through multi-factor authentication.

Read the Security whitepaper

OpenSearch Service is a managed service that automates software patching, failure detection, and failover procedures. This service allows you to automatically detect and replace failed nodes, reducing the overhead associated with self-managed clusters and improving data durability for mission-critical workloads.

Read the Reliability whitepaper

Amazon Kendra provides highly accurate and efficient natural language search capabilities. It uses machine learning (ML) optimizations to deliver fast and relevant search results on your data. Through high-performance natural language search, Amazon Kendra provides relevant results quickly and handles larges search volumes at scale.

Read the Performance Efficiency whitepaper

Through Amazon Bedrock, you gain access to fully managed generative AI FMs through a simple API. This helps you optimize costs, as you pay only for the tokens used during inference and avoid the overhead of maintaining the underlying infrastructure.

Read the Cost Optimization whitepaper

Lambda, a serverless compute service, contributes to a more sustainable architecture by automatically scaling to meet demand and reusing execution environments. Using Lambda, you can optimize resource utilization and minimize energy consumption.

Read the Sustainability whitepaper

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.