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AWS Solutions Library

Guidance for Enhancing Guest Experience Using Personalization for Lodging on AWS

Overview

This Guidance demonstrates how you can implement a personalization engine to derive and deliver the right guest experience when your guest most needs it. By aggregating data from various guest touchpoints, you can determine preferences and make tailored recommendations for room type, amenities, dining, and activities to delight each guest. Personalization can enhance your guest's satisfaction and loyalty, while incentivizing high-value ancillary purchases, strengthening your brand image.

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.

This Guidance uses API Gateway integrated with Amazon CloudWatch to provide monitoring capabilities so that you can track API calls and latency. This Guidance integrates with AWS CloudTrail for API request logging. These features improve observability of API operations and their usage. You can also set up CloudWatchalarms to notify you of errors or threshold breaches in near real-time.

Read the Operational Excellence whitepaper

This Guidance lets you use AWS Identity and Access Management (IAM) to strengthen data security and access control through granular permissions. By using IAM to grant least-privilege permissions, you can make sure that users have access only to the specific resources they need.

Read the Security whitepaper

This Guidance uses Amazon Pinpoint, which provides built-in scalability and redundancy so that you can reliably deliver SMS, email, and push notification messages to users. Amazon Pinpoint is a fully managed service that delivers reliable communication with users even during peak times.

Read the Reliability whitepaper

This Guidance uses DynamoDB, which provides fast, consistent, single-digit millisecond latency. It is also a fully managed NoSQL database that provides automatic scaling (through its on-demand mode) and replication across Availability Zones, facilitating high-performance efficiency and low latency. This makes it ideal for a high volume of users trying to access the website and application.

Read the Performance Efficiency whitepaper

This Guidance uses Amazon Personalize, which charges based on the number of requests to your endpoints, so you only pay for recommendations that are generated. It also automatically scales resources so you don’t over-provision capacity. Additionally, as a fully managed service, Amazon Personalize removes the need for you to manage machine learning infrastructure. It handles capacity planning, model training, and hosting, so you don’t have to provision resources up front.

Read the Cost Optimization whitepaper

This Guidance uses Lambda, which lets you run code without provisioning or managing servers. Its automatic scalability and its reuse of implementation environments optimizes resource usage. This minimizes energy usage because Lambda runs only the necessary compute for your workloads. Additionally, you save more energy if you use Lambda functions powered by AWS Graviton.

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.