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AWS Solutions Library

Guidance for AI at the Edge for Retail on AWS

Overview

This Guidance demonstrates how retailers can transform operations with
powerful AI solutions that maximize existing hardware investments
without requiring additional infrastructure. Lightweight computer vision
models detect high-traffic areas, safety issues, and long customer
queues while running directly on current in-store systems. The solution
combines fine-tuned foundation models with container-based deployment
strategies that efficiently manage data from IoT sensors, cameras, and
point-of-sale systems. You can boost employee productivity, enhance
operations, and deliver better customer experiences while keeping
bandwidth consumption low through optimized AI models running on your
existing systems.

Benefits

Deploy a high-performance RTB infrastructure that processes billions of daily requests with sub-500ms response times. The optimized architecture with direct pod routing and Graviton instances handling up to 3.5 million requests per second ensures you capture every revenue opportunity in time-sensitive bidding scenarios.

Automatically adjust capacity to match traffic patterns with intelligent auto-scaling that provisions resources only when needed. The combination of AWS Graviton instances, optimized HAProxy configurations, and selective log sampling delivers up to 60% energy savings while maintaining enterprise-grade performance for AdTech workloads.

Eliminate revenue-impacting downtime with a multi-layered resilient architecture that withstands component failures at every level. The distributed design across multiple Availability Zones with automated health checks and instance replacement ensures your bidding platform remains operational even during unexpected traffic surges common in advertising campaigns.

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

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.