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AWS Solutions Library

Guidance for Edge Computing in Retail on AWS

Overview

This Guidance demonstrates how to enhance customer experience and operational efficiency in retail by combining AWS edge computing services with on-premises retail facilities. IoT sensors, cameras, and point-of-sale systems collect in-store data that's processed locally through AWS IoT Greengrass and edge components for immediate analysis. The system enables real-time customer journey optimization through Amazon Bedrock Agents and Amazon Personalize while maintaining security with Amazon GuardDuty. You can streamline operations, deliver personalized shopping experiences, and make data-driven decisions faster without compromising on security or performance

Benefits

Ensure essential store functions like point-of-sale and security systems operate reliably, even during network interruptions. Local processing capabilities keep your business running while automatically synchronizing with the cloud when connectivity returns.

Process customer data instantly at store locations to provide timely, personalized recommendations and experiences. Combine edge analytics with cloud-based AI to optimize customer journeys and increase engagement.

Reduce data transfer and infrastructure costs by processing store data locally and sending only relevant information to the cloud. Maximize existing hardware investments through containerized applications.

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

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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.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.

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