AI is no longer futuristic; it's actively transforming retail. Businesses must adopt AI to enhance customer experiences and stay competitive.
The retail industry is undergoing a fundamental transformation driven by artificial intelligence. From the way products are discovered to how they're delivered, AI is reshaping every touchpoint of the customer journey. This book provides a comprehensive exploration of how retailers can harness AI to create more personalized, efficient, and innovative shopping experiences.
Through a combination of strategic frameworks, real-world case studies, and practical implementation guides, we examine how leading retailers are using AI to gain competitive advantages. We explore applications across the entire retail value chain, including customer experience personalization, inventory management, supply chain optimization, and store operations.
Whether you're an executive leading a retail transformation, a technology leader implementing AI solutions, or a business strategist planning for the future, this book provides the insights and actionable guidance you need to successfully navigate the AI-powered future of retail.
Have questions about AI in retail? Want to explore specific concepts in more depth? Chat with an AI assistant that specializes in retail transformation and the content of this book.
Access additional resources, tools, and reference implementations from AWS to help you implement AI retail transformation in your organization.
Discover AWS solutions for retail, including customer engagement, merchandising and planning, supply chain, and advanced analytics.
Explore AWS RetailCreate a unified view of your customers to deliver personalized experiences across all touchpoints with AWS Customer 360 solutions.
Learn MoreDiscover partner solutions for retail available on AWS Marketplace, from merchandising to store operations and beyond.
Browse SolutionsA full-featured retail demo with microservices, web UI, and implementation patterns for personalization, search, and recommendations.
View on GitHubImplementation guide for adding Amazon Personalize recommendations to your website using Google Tag Manager.
View on GitHubGuidance for implementing Google Tag Manager for server-side website analytics on AWS.
View on GitHubImplementation guidance for retail analytics using generative AI on AWS.
View on GitHubGuidance for implementing a virtual personal stylist experience on AWS.
View on GitHubSample implementation of an AI-powered retail assistant to enhance customer shopping experiences.
View on GitHubImplementation of retail-specific agents using Amazon Bedrock foundation models.
View on GitHubStay up-to-date with the latest retail technology insights, customer stories, and implementation guidance on the AWS for Industries blog.
Read the BlogReference implementation for a generative AI chatbot that can be customized for retail use cases.
View on GitHubStep-by-step guide for implementing your first generative AI solution on AWS.
View on GitHubOpenAI-Compatible RESTful APIs for Amazon Bedrock to simplify integration with existing applications.
View on GitHubGateway solution for managing access to generative AI models and tracking usage.
View on GitHubGuidance for implementing a multi-tenant generative AI gateway with cost and usage tracking.
View on GitHubA solution that helps you build, deploy, and share generative AI applications quickly and securely.
View on GitHubChoose the format that works best for you.