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Guidance for Product Catalog Enhancement with Generative AI on AWS

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Overview

This Guidance demonstrates how retailers can use generative AI to improve their product catalog management process. By automating the traditionally manual task of processing and standardizing product data from manufacturers, retailers can significantly enhance their operational efficiency. The Guidance addresses the common challenge of handling diverse data formats from multiple manufacturers, transforming this time-consuming process into a streamlined, automated workflow. This approach not only enhances productivity but also helps ensure more consistent and higher-quality product catalog entries, enabling retailers to maintain accurate and up-to-date product information more effectively.

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.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Benefits

Deploy a serverless workflow that automatically generates SEO-optimized titles, descriptions, and features from raw product data. Focus on product strategy while AI handles content enrichment.

Improve product discoverability with AI-enriched catalog data in OpenSearch Serverless. Drive higher conversion rates through more relevant search results and detailed product information.

Leverage serverless architecture that adapts to your business demand with pay-as-you-go pricing. Eliminate infrastructure management overhead while maintaining high performance during peak periods.

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.