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The sales funnel has been fundamental to e-commerce for years, but it may soon become obsolete. Agentic commerce is replacing the traditional online shopping journey. In this new model, AI agents autonomously research, compare and purchase products on behalf of consumers. The shift has the potential to transform how you attract and convert customers.
Consumer behavior is changing rapidly. Traditionally, approximately 63% of consumers research online before making a purchase decision. Agentic commerce, an emerging practice where autonomous AI agents act as personal shopping assistants, is disrupting this familiar pattern in ways that directly affect your bottom line.
The growth of zero-click search and agent-driven interactions is eroding direct traffic to e-commerce sites. When AI agents handle product research and recommendations, consumers no longer visit your website to browse.
Generative AI traffic to retail sites has increased 4,700% year over year, and 38% of consumers report having used it for online shopping. This shift means retailers may have a harder time observing and influencing buying behavior at scale. The implications include reduced e-commerce revenue and higher spending on AI-optimized advertising to stay competitive.
Agents make data-driven decisions based on pricing, user ratings, delivery speed and inventory availability. Emotional and psychological factors do not affect their choices. You cannot as easily influence them with color psychology, brand loyalty or a fear of missing out.
The challenge gets more complex when you consider that AI decision-making is opaque. Even advanced models score just 40.8 out of 100 when simulating real human behavior. Black-box decision-making makes it difficult to know what a model prioritizes. Even if you figure out one model's preferences, no two models are alike.
The good news is that small and medium-sized businesses (SMBs) can leverage agentic AI to gain a competitive advantage.
AI agents can automatically create hyper-personalized recommendations and shopping carts for users. If you have enough product data, it can act as a targeted marketing tool that delivers individualized experiences at scale.
Agents can track stock in real time, automate reordering and even communicate with supplier agents to prevent stockouts. This facilitates on-demand ordering and reduces the manual overhead of inventory management. For small teams, automation frees up valuable time.
Agents acting on behalf of consumers and companies can interact to reach mutually beneficial agreements. Agent-to-agent negotiation is ideal for bulk orders or personalized discounts. It could open up revenue opportunities that were previously too labor-intensive to pursue.
The shift to agentic commerce is accelerating. By 2028, AI-powered search will funnel approximately $750 billion in revenue in the United States alone. Without preparation, brands risk a 20% to 50% decline in traffic from traditional search, especially as half of consumers now intentionally seek out AI-powered search engines.
While most consumers still complete purchases manually, technology enabling agents to complete purchases autonomously is already being developed. To prepare for AI-led shopping experiences, make content machine-readable and crawlable by large language models. Build flexible APIs for checkout and integrations.
Invest in data platforms that make your product information machine-readable. Tools like Shoppingfeed focus on e-commerce feed management and product data syndication to make your catalog accessible to both marketplaces and AI agents.
AI has limitations. Human strategy, validation and quality control are more important than ever to guide agents and handle exceptions. You need people to set guardrails, interpret output and step in when automated systems fail or produce unexpected outcomes.
Beyond optimizing for third-party agents like Google or Amazon, consider investing in your own branded agents. They can reflect your unique brand identity and customer insights while giving you control over the experience. With them, you maintain a direct relationship with your audience even in an agent-driven marketplace.
E-commerce has always been competitive, and adapting to agentic commerce is a big adjustment. The sooner you focus on data optimization and strategic oversight, the better your chances are of overcoming the challenges ahead.
Remember to maintain traditional channels while working on agentic commerce. People still browse online storefronts for fun and enjoy the dopamine rush associated with discovering products. Balancing your approach between optimizing for AI agents and maintaining engaging human experiences will position you for success in both worlds.