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Guidance for Hyperpersonalized Marketing with Amazon Personalize and Amazon Bedrock

Overview

This Guidance shows how to implement a comprehensive travel and hospitality (T&H) customer engagement system to enhance your marketing strategy. Using Unified Profiles for Travelers and Guests on AWS, you can create unified customer profiles and deliver personalized experiences. For example, you can tailor recommendations for each customer and generate hyperpersonalized marketing content driven by AI. By using this Guidance to implement effective, targeted marketing strategies, you can significantly enhance customer satisfaction, improve engagement across channels, and drive sustainable business growth.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

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 collects logs, metrics, and events in a unified view of operational health. By providing data and actionable insights, it enables you to monitor applications, respond to system-wide performance changes, and optimize resource utilization. CloudWatch also lets you set alarms, invoke automated actions, and receive notifications when predefined thresholds are breached. By enabling you to identify and resolve issues promptly, these proactive monitoring and automated response capabilities help you keep your systems running smoothly.

Read the Operational Excellence whitepaper 

API Gateway helps secure your APIs by providing mechanisms such as API keys for client authentication, authorization, access control, and traffic encryption. For example, it supports encryption in transit using SSL/TLS certificates. Additionally, you can define fine-grained access controls for your APIs so that you can control what actions users can perform.

Read the Security whitepaper 

OpenSearch Service simplifies running and scaling OpenSearch by automating software patching, failure detection, and failover procedures. It automatically detects and replaces failed nodes, reducing the overhead associated with self-managed clusters. It also replicates data across multiple Availability Zones (AZs) to support data durability and availability in case of node or AZ failures.

Read the Reliability whitepaper 

DynamoDB is designed to handle massive workloads while delivering single-digit millisecond latency at any scale. It uses a distributed, fault-tolerant architecture that automatically spreads data and traffic across multiple servers and data centers, supporting high availability and consistent performance. It also offers global tables, which replicate data across AWS Regions, facilitating worldwide low-latency access to data. Additionally, Amazon DynamoDB Accelerator (DAX) provides an in-memory cache that can significantly reduce response times for read-heavy workloads.

Read the Performance Efficiency whitepaper 

Amazon Bedrock provides the fully managed generative AI foundation models for your application using an API. This service scales to avoid under- or overprovisioning resources, and you only pay for the number of tokens you use during inference. Additionally, Amazon Bedrock is a fully managed service, so you can avoid the cost of maintaining and managing the infrastructure needed to host generative AI foundation models.

Read the Cost Optimization whitepaper 

Lambda enables you to run code without provisioning or managing servers, and its functions automatically scale to meet demand, including volume spikes. It also reuses implementation environments, improving your application’s resource utilization and minimizing the energy consumption of your workloads.

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.