AWS Introduced Its Agentic Shopping Assistant on AWS
Edited by Adam Harrie — June 5, 2026 — Tech
This article was written with the assistance of AI.
References: aboutamazon
AWS launched the Agentic Shopping Assistant on AWS, a retail AI solution that enables brands to build conversational shopping experiences using technology informed by Amazon’s Alexa for Shopping. The offering combines architecture guidance, starter code and support from AWS experts, allowing retailers to create branded shopping assistants tailored to their catalogs, customers and business rules.
Built on services including Amazon Bedrock, AgentCore and OpenSearch, the solution provides a foundation for deploying AI-powered shopping assistants without building the infrastructure from scratch. AWS said retailers can customize the experience to reflect their brand voice and product expertise, with Kate Spade already using the platform to power its AI Gift Concierge and additional retailers currently testing the technology.
For retailers, the Agentic Shopping Assistant offers a way to create personalized, dialogue-based shopping experiences while maintaining direct customer relationships. The launch reflects growing demand for brand-owned AI commerce tools that help shoppers discover products, receive recommendations and navigate catalogs through natural conversation.
Image Credit: AWS
Built on services including Amazon Bedrock, AgentCore and OpenSearch, the solution provides a foundation for deploying AI-powered shopping assistants without building the infrastructure from scratch. AWS said retailers can customize the experience to reflect their brand voice and product expertise, with Kate Spade already using the platform to power its AI Gift Concierge and additional retailers currently testing the technology.
For retailers, the Agentic Shopping Assistant offers a way to create personalized, dialogue-based shopping experiences while maintaining direct customer relationships. The launch reflects growing demand for brand-owned AI commerce tools that help shoppers discover products, receive recommendations and navigate catalogs through natural conversation.
Image Credit: AWS
Brand AI shopping chat: would you use it?
Helps decide whether to build or sponsor brand-run AI shopping chats, what to optimize for, and how often readers are likely to use them.
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When was the last time you used a chat to help shop online?
2 / 3
If a brand offered a shopping chat, how likely are you to try it?
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Which would make you most likely to use a brand’s shopping chat?
Trend Themes
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Agentic Commerce Interfaces — Autonomous, dialogue-led shopping layers create room for retailers to shift product search, comparison and checkout guidance into adaptive branded experiences.
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Brand-owned AI Assistants — Retailers with proprietary AI concierges gain a new pathway to preserve customer relationships while personalizing recommendations through first-party catalog and behavioral data.
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Conversational Product Discovery — Natural-language exploration reframes catalog navigation as an interactive advisory experience, opening space for merchandising models that respond to intent rather than filters.
Industry Implications
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Retail Technology — Composable AI infrastructure lowers the barrier for deploying intelligent shopping agents, expanding demand for platforms that blend search, personalization and workflow orchestration.
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E-commerce — Online storefronts are being reshaped by assistant-led journeys that merge discovery, recommendation and customer support into a single conversational channel.
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Fashion Retail — Fashion brands gain differentiated digital concierge experiences that translate style preferences, gifting context and brand voice into personalized product curation.
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