Harley Finkelstein describes the future of retail as "agentic," where a consumer's journey seamlessly crosses platforms. For example, a journey could start on TikTok, move to a physical pop-up, and conclude with a purchase inside the game Roblox, moving beyond the simpler online vs. offline dichotomy.

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AI's most significant impact is not just campaign optimization but its ability to break down data silos. By combining loyalty, e-commerce, and in-store interaction data, retailers can create a holistic customer view, enabling truly adaptive and intelligent marketing across all channels.

Anticipating a shift to "agentic commerce," SharkNinja is actively re-optimizing its e-commerce site for Large Language Models. The company believes what drives human conversion today may not rank highest in AI-driven search and expects commerce via AI platforms to be meaningful by Christmas 2025.

As users delegate purchasing and research to AI agents, brands will lose control over the buyer's journey. Websites must be optimized for agent-to-agent communication, not just human interaction, as AI assistants will find, compare, and even purchase products autonomously.

The next frontier in e-commerce is inter-company AI collaboration. A brand's AI will detect an opportunity, like a needed digital shelf update, and generate a recommendation. After human approval, the request is sent directly to the retailer's AI agent for automatic execution.

Malk, a retail-focused brand, built a Shopify site not for direct sales but to control messaging, connect with consumers, and gather data. Their site uses technology allowing users to add products to a local retailer's online cart. This creates a valuable, albeit incomplete, data point on purchase intent for a channel that traditionally offers none.

As AI agents automate day-to-day e-commerce optimization, the primary role for humans evolves. Core competencies will shift from data analysis and execution to high-level decision-making and managing the complex, collaborative joint business planning process with retail partners.

The era of linear, multi-step marketing funnels is over. Brands must now craft succinct, cohesive stories that are effective regardless of the order in which a consumer encounters them across channels (email, SMS, social). Each touchpoint must stand on its own while contributing to the whole narrative.

Shopify's new SimGym tool, which uses AI agents to simulate how customers interact with a store, points to a new standard in marketing. Soon, launching a campaign, redesign, or product without first running it through a sophisticated AI simulation will be considered archaic and reckless.

Agentic AI will evolve into a 'multi-agent ecosystem.' This means AI agents from different companies—like an airline and a hotel—will interact directly with each other to autonomously solve a customer's complex problem, freeing humans from multi-party coordination tasks.

AI will fragment the customer journey across countless platforms, moving purchases away from brand-owned websites. Retailers must build systems to manage inventory and product information across this decentralized landscape, not just focus on perfecting their own site experience.