Amazon AWS Agentic Shopping Assistant for Retailers

Amazon Opens Its AI Shopping Technology to the Wider Retail World

Amazon has long been recognized as a dominant force in e-commerce, consistently pushing the boundaries of how technology shapes the shopping experience. Now, the company is taking a significant step forward by making the artificial intelligence technology behind its own shopping agent available to other retailers through Amazon Web Services (AWS). The new offering, called the Agentic Shopping Assistant, represents a major shift in how retailers of all sizes can engage with customers in the age of AI-powered commerce.

The announcement signals Amazon's growing ambition not just as a marketplace, but as a technology provider shaping the future of retail across the entire industry. With more shoppers turning to AI tools to browse products, compare options, and complete purchases, the pressure on retailers to deploy intelligent, conversational digital experiences has never been greater.

What Is the Agentic Shopping Assistant?

The Agentic Shopping Assistant is a new product available through Amazon Web Services that allows retailers outside of Amazon's own marketplace to build and deploy their own customized AI-powered digital shopping assistants. Unlike traditional chatbots that follow rigid scripts, agentic AI tools can hold dynamic, natural-language conversations, understand nuanced customer requests, and take actions on behalf of users — such as recommending products, filtering search results, or guiding someone through a purchase decision.

Amazon has framed the tool as a direct response to the rapidly evolving landscape of AI-assisted shopping. As consumers increasingly rely on AI agents to help them navigate vast product catalogs, retailers that lack this capability risk falling behind. The Agentic Shopping Assistant gives brands a way to meet customers where they are, delivering a personalized and conversational experience that goes well beyond a basic search bar or filtered product grid.

The technology draws from the same AI foundations powering Amazon's own shopping agent, which the company has been developing and refining within its own platform. By extending this infrastructure through AWS, Amazon is essentially offering enterprise-grade AI shopping capabilities to the broader retail market — without requiring retailers to build the underlying technology from scratch.

Kate Spade New York Leads the Way With an AI Gift Concierge

Among the first brands to adopt the Agentic Shopping Assistant is Kate Spade New York, the iconic American fashion and accessories brand. The company has used the AWS tool as the foundation for its new AI Gift Concierge, an intelligent shopping agent designed to help customers find the perfect gift.

The AI Gift Concierge can engage customers in genuine, back-and-forth conversations, asking about the occasion, the recipient's personal style, budget, and other preferences. Based on those inputs, it surfaces tailored product recommendations — turning what can often be a stressful gifting experience into something far more intuitive and enjoyable.

Fabio Luzzi, Chief Data and Analytics Officer at Tapestry Inc. — the parent company of Kate Spade and Coach — explained the thinking behind the initiative. "It's a conversational AI experience that helps customers find the right gift, and it came directly from listening to our consumers and figuring out what they actually needed," Luzzi said. That customer-first philosophy is central to why the tool resonates: it was designed to solve a real, recurring frustration for shoppers, rather than deploying technology for its own sake.

Tapestry Inc. ranks No. 40 in Digital Commerce 360's Top 2000 Database, which tracks the largest North American online retailers by annual e-commerce sales. Amazon, for its part, holds the top position at No. 1 in that same database — a testament to the scale and reach that makes the company's technology investments so impactful when extended to other retailers.

Why This Matters for the Future of Retail

The launch of the Agentic Shopping Assistant on AWS arrives at a pivotal moment for e-commerce. Consumers are rapidly changing how they shop online, with AI-powered tools increasingly mediating the relationship between shopper and product. Rather than typing keywords into a search engine and scrolling through pages of results, many shoppers now expect to describe what they want in conversational terms and receive curated, intelligent recommendations in return.

For retailers, this shift creates both an opportunity and a challenge. Those who can deliver a truly personalized AI shopping experience stand to build deeper customer loyalty and drive meaningful improvements in conversion rates. Those who cannot risk losing ground to competitors — including Amazon itself — that offer more sophisticated discovery and purchasing tools.

Improved customer engagement: Conversational AI agents keep customers on-site longer and guide them toward products that genuinely match their needs.
Higher conversion potential: Personalized recommendations reduce decision fatigue, making it easier for customers to commit to a purchase.
Scalable personalization: AI agents can simultaneously serve thousands of customers with individualized experiences, something no human-staffed support team could replicate at scale.
Competitive differentiation: Brands that deploy intelligent shopping agents early position themselves as innovators in a crowded and competitive digital marketplace.

Amazon's Broader Strategy as an AI Infrastructure Provider

This move is consistent with Amazon's long-term strategy of monetizing the infrastructure it builds for its own operations by offering it as a service to other businesses. AWS is already one of the world's leading cloud computing platforms, and extending AI shopping capabilities through that channel is a natural evolution of the company's business model.

By positioning AWS as the go-to platform for retail AI, Amazon creates a powerful ecosystem effect. As more retailers build their AI shopping experiences on Amazon's infrastructure, the company gains valuable insights into broader consumer behavior trends, strengthens its relationships with retail partners, and cements AWS's role as an indispensable part of the modern retail technology stack.

Amazon has confirmed that additional retailers beyond Kate Spade New York are currently testing the Agentic Shopping Assistant solution, though the company has not yet disclosed their names. The growing list of early adopters suggests that demand for enterprise-ready, conversational AI shopping tools is strong — and that Amazon is well-positioned to capture a significant share of that market.

What Retailers Should Consider Now

For retail leaders evaluating whether to invest in AI shopping technology, the launch of Amazon's Agentic Shopping Assistant raises important questions about timing and strategy. Early adopters like Kate Spade New York will benefit from the novelty of the experience and the opportunity to shape how customers interact with AI in a retail context. As the technology matures and adoption spreads, the competitive advantage of being first will diminish — making the window for differentiation relatively short.

Retailers should also think carefully about how an AI shopping agent fits into their broader customer experience strategy. The most effective implementations will be those that genuinely reflect a brand's voice, understand its product catalog deeply, and address real pain points for shoppers — not those that deploy AI simply because it is available.

The partnership between Amazon Web Services and Kate Spade New York is an early example of what thoughtful, customer-driven AI retail deployment can look like. As more brands follow suit, the Agentic Shopping Assistant may well become one of the defining tools of the next chapter in e-commerce.