The landscape of e-commerce is undergoing a profound transformation, with companies no longer just competing for shoppers’ attention but increasingly vying to "own" the artificial intelligence (AI) platforms through which those shoppers make their purchasing decisions. This burgeoning competition signifies a pivotal shift, moving beyond traditional digital marketing tactics like search engine optimization (SEO) to a new frontier where AI itself becomes a primary battleground.
The Rise of AI Commerce Agents
At the forefront of this evolution is the emergence of sophisticated "commerce agents" powered by advanced AI. On September 2nd, AI research firm Anthropic unveiled a significant development in this area: a comprehensive set of software patterns, "guardrails," and implementation frameworks designed to empower businesses to build their own AI agents for retail and other commercial applications. This initiative, detailed in their publication "Building Commerce Agents with Claude," aims to democratize the creation of AI-driven shopping experiences.
Anthropic’s blueprint outlines two distinct yet complementary types of commerce agents. The first is the consumer-facing shopping agent, designed to be integrated directly onto a retailer’s website or mobile application. This agent acts as a virtual shopping assistant, connecting seamlessly with a store’s product catalog, checkout systems, and other essential backend services.
To illustrate its capabilities, Anthropic provides a compelling example: a shopper seeking to outfit a family for a weekend camping trip. A consumer-facing agent could process a request like, "I need a tent, sleeping bag, and stove for a weekend trip with two children." The AI would then meticulously search the retailer’s inventory, identify compatible products, compare them based on various criteria, and present suitable options, all while factoring in the customer’s stated preferences and past purchase history. Beyond the initial purchase, this same agent can seamlessly transition to post-sale support, addressing inquiries about delivery status, return policies, exchanges, and refund procedures.
The potential impact of these consumer-facing agents is underscored by Anthropic’s claims of significant performance improvements for retailers already utilizing them. According to the company, participating retailers have reported an impressive 35% increase in average order value and a substantial 60% improvement in conversion rates. While these figures are notable, it’s important to acknowledge that many large enterprise retailers have been exploring and deploying similar AI-powered solutions for some time, indicating a broader industry trend rather than a singular breakthrough.
The second type of agent introduced by Anthropic is the merchant agent. This AI operates behind the scenes, interacting with a store’s internal operational systems. An e-commerce manager, for instance, could leverage a merchant agent to address challenges like clearing excess inventory and optimizing cash flow. The agent would be capable of analyzing inventory levels, monitoring sales velocity for various products, recommending targeted discounts or price adjustments, and even drafting preliminary marketing campaigns to support these initiatives. To mitigate risks associated with automated decision-making, Anthropic’s framework incorporates crucial "guardrails" that mandate human approval before any significant operational changes are implemented by the merchant agent. While comparable merchant-focused AI tools exist within some e-commerce platforms, Anthropic’s blueprint is expected to streamline the development of bespoke solutions for businesses seeking greater customization.
Consumer Appetite for AI in Shopping
Anthropic’s announcement arrives at a critical juncture, coinciding with growing evidence of consumer willingness to embrace AI in their shopping journeys. A significant survey conducted in August by Bain & Company, a strategic partner of Anthropic, offers compelling insights into consumer behavior leading up to the 2026 holiday season. The poll, which surveyed 1,105 U.S. shoppers, revealed that 24% of online buyers plan to initiate their holiday shopping on AI platforms such as Claude, Google Gemini, and ChatGPT. This marks a notable increase from the 17% recorded in 2025.
Concurrently, the survey indicated a rise in shoppers opting to begin their searches on retail or brand websites, with 60% planning to do so, up from 51% in the previous year. These two trends are not mutually exclusive and highlight a nuanced shift in consumer habits. It’s plausible that some shoppers will utilize external AI platforms like ChatGPT or Gemini to discover potential products before visiting specific merchant sites. Others might bypass external AI altogether, opting to engage directly with an on-site AI agent on a retailer’s platform, using it as a more intuitive alternative to traditional search bars or navigation menus. Furthermore, a segment of consumers may strategically employ both external and on-site AI tools throughout a single purchasing process, seeking comprehensive insights and personalized recommendations.
Two Emerging Models for AI-Powered Commerce
Bain & Company’s research further delineates two distinct models that are shaping the future of AI-driven commerce.
The first model positions an external AI platform at the center of the shopper-AI-merchant relationship. In this scenario, platforms like ChatGPT, Perplexity, or other AI assistants act as intermediaries, sourcing products from a multitude of sellers and facilitating the transaction. The user journey typically follows this path: Shopper → AI Platform → Merchant. OpenAI has been a key player in advancing this model, notably with its introduction of "Instant Checkout with Stripe" and the Agentic Commerce Protocol in 2025. These innovations allow users to complete purchases directly within the ChatGPT interface without needing to navigate away to a merchant’s website. Google has pursued a parallel strategy with its Universal Commerce Protocol, developed in collaboration with major retailers and e-commerce platforms such as Shopify, Etsy, Wayfair, Target, and Walmart. This protocol aims to bridge AI experiences with existing merchant infrastructure and payment systems, creating a more seamless, AI-native shopping environment.
The second emerging model prioritizes the merchant’s direct AI engagement with the shopper. This model can be visualized as: Shopper → Merchant’s AI → Merchant. Anthropic’s recent blueprint is particularly instrumental in making this approach more accessible and practical for retailers. By enabling businesses to deploy conversational product discovery tools directly on their platforms, merchants can retain greater control over their product catalog, checkout process, customer relationships, and overall brand experience. This allows for a more integrated and branded AI shopping journey, fostering a deeper connection between the consumer and the retailer.
The Strategic Imperative: Owning the Customer Relationship
As these two AI commerce models mature and become more integrated into the consumer journey, the strategic importance of direct customer relationships is poised to escalate significantly. Retailers that possess a deep understanding of their customer base, actively collect and leverage first-party data, and maintain direct communication channels – such as email marketing, loyalty programs, and engaging on-site experiences – will be better positioned to thrive. This advantage will hold true regardless of whether shoppers initially engage with an AI platform external to the merchant or opt to use the retailer’s proprietary AI agent.
The ongoing development of an "agentic AI commerce stack," built piece by piece through continuous innovation, signals a fundamental reshaping of the retail industry. The ability to "own" the AI through which customers interact and purchase is rapidly becoming a critical differentiator. This race to control the AI interface is not merely about technological adoption; it’s about securing a central role in the future of consumer transactions and fostering enduring customer loyalty in an increasingly AI-augmented marketplace. The implications are far-reaching, suggesting a future where the most successful e-commerce businesses will be those that master both the art of AI-driven engagement and the enduring value of direct customer connection.
