Retail’s New Customer Isn’t Human, and it’s Changing the Way Brands Get Seen

Artificial intelligence has shifted from assistant to executor, now independently acting on behalf of consumers. Retailers are entering a new landscape where buying decisions move at machine speed and this fundamentally changes who they are selling to.

Large language models (LLMs) are leading the charge. ChatGPT and Copilot have both rolled out features allowing users to reorder supplies, conduct price comparisons, and even place repeat purchases autonomously all within a chat conversation. These are just two examples of a broader industry shift: AI-native shopping is fundamentally reshaping who retailers sell to in the first place.

Discovery is Leaving the Storefront

This past holiday season saw a nearly 700 percent increase in traffic from generative AI tools, according to Adobe. Key points in the buyer journey like discovery, comparison and checkout are happening directly within AI chat conversations. As an increasing number of consumers rely on AI, these steps more frequently take place inside AI tools rather than on retailer websites. It directly reflects the kind of digital experience most people demand, with recent data revealing 71 percent of consumers want generative AI integrated into the shopping experience.

McKinsey predicts that by 2030, the U.S. B2C retail market alone could see up to $1 trillion in revenue from agentic commerce. As a result, fewer people are taking the time to browse for their purchase and skip straight to delegating. They ask AI to find exactly what they want, at the right price, with confidence it will arrive on time. For small businesses and local retailers, the impact is even more acute, where even minor data gaps can limit visibility.

When Algorithms Buy, Traditional Marketing Playbooks Break Down

If AI can’t decisively evaluate a retailer's product availability, pricing or delivery timelines, it won’t surface it to a potential customer. Brand recognition alone is no longer enough to earn consideration.

AI doesn’t shop the way people do. It’s trained in datasets and doesn’t respond to storytelling, persuasion or emotional branding like a human would. If retailers want to stay ahead of this shift and differentiate themselves in the marketplace, they need to optimize their product data to align with the data signals AI considers first.

Retailers will increasingly compete on real-time inventory accuracy, dependable fulfillment timelines, and consistent product data cross channels. Operationalizing trust is critical for visibility in an AI-driven shopping world, and inventory intelligence will help retailers to keep pace with AI speeds.

Adapting Without Losing the Human Advantage 

Retailers still have agency during this shift, but only with a balanced approach to keeping product data in check. Automating machine-facing work is key to helping retailers meet AI outputs without losing visibility or that uniquely human touch.

When systems handle real-time data updates, thresholds and repeat decisions, retailers can stay visible to AI buyers while reducing operational blind spots. Stockouts become easier to anticipate. Fulfillment becomes more predictable. And businesses gain confidence that what customers, or their AI agents, want to buy is actually available.

This matters most for smaller businesses that can’t afford delays caused by manual approvals or outdated spreadsheets. When operations move at machine speed, teams can spend less time reacting and more time focusing on higher-value work like product strategy and customer relationships.

Passing Retail’s Next Customer Loyalty Test

The next generation of retail loyalty won’t be won on a homepage or through visual branding alone. It’s decided before a consumer even knows what brand they’re looking for.

Adapting operations for chat-native shopping will make or break whether a brand remains discoverable. The future of retail loyalty will belong to the brands that speak fluently to both people and machines.

Ben Hussey is the co-CEO of Katana Cloud Inventory, an inventory management platform that helps companies manage over $3 billion in sales annually.