What's Happening?
A significant majority of retailers, 67%, intend to enhance their product data for AI shopping agents within the next two years, with 58% planning to provide real-time product availability to these agents. This ambition is highlighted in consultancy research
by BCG, which surveyed 50 of the top 300 global retailers and 100 top global brands. However, there is a notable disparity between these intentions and current operational capabilities. The Global Digital Shopping Index from PYMNTS Intelligence and Visa indicates that while most merchants anticipate AI agents will influence shopping, payments, and loyalty, only a small fraction are currently equipped for this shift. Specifically, only 11% of small and medium merchants and 19% of large merchants are considered 'agent-ready.' Furthermore, only 15% of merchants possess the structured product data necessary for AI agents to function effectively, and merely 23% can differentiate AI-driven traffic from human traffic. This suggests a broad unpreparedness within the retail sector to support advanced agentic commerce.
Why It's Important?
The gap between retailers' intentions and their current ability to integrate AI agents into their commerce platforms poses a significant challenge for the future of retail. While retailers recognize the potential of AI to drive digital sales—with approximately 68% expecting AI agents to account for at least 5% of their digital sales within two years—the lack of foundational infrastructure, such as structured product data and the ability to identify AI traffic, hinders this progression. This disconnect could lead to missed opportunities for retailers to leverage AI for improved customer experience, personalized shopping, and increased sales efficiency. Companies that successfully bridge this gap, like Shopify with its default-enabled Agentic Storefronts, stand to gain a competitive advantage by offering seamless AI integration to their merchants. Conversely, those that lag in implementation may find themselves at a disadvantage in an increasingly AI-driven market, potentially losing out on evolving consumer engagement methods and sales channels.
What's Next?
The retail industry is expected to see a continued push towards AI integration, with platforms like Shopify leading the way by offering out-of-the-box solutions for merchants to connect with AI agents such as ChatGPT, Microsoft Copilot, and Google's AI Mode. This trend suggests that more e-commerce platforms may follow suit, simplifying the adoption of AI for a broader range of retailers. However, the primary challenge remains on the merchant side: developing the necessary structured product data and backend systems to effectively communicate with AI agents. Retailers will likely invest more in data infrastructure and AI-specific analytics to track and understand AI-driven interactions. Consumer trust will also be a critical factor; while 58% of shoppers use AI tools for product research, only 17% are comfortable making direct purchases through them. Therefore, future developments will also need to focus on building consumer confidence in AI-powered purchasing experiences, potentially through enhanced transparency and security measures.
Beyond the Headlines
The slow adoption of AI agent integration by retailers, despite high stated intentions, highlights deeper issues within the industry, including technological inertia, data management complexities, and a cautious approach to new commerce paradigms. The reluctance of some major players, such as Amazon, to fully open their catalogs to all AI agents, or the partial integration seen with brands like Kate Spade, indicates a strategic hesitation driven by concerns over control, data privacy, and the evolving competitive landscape. This situation could lead to a fragmented AI commerce ecosystem where certain platforms and retailers become early adopters and innovators, while others struggle to catch up. The ethical implications of AI agents in commerce, such as potential biases in product recommendations or data security concerns, will also become more prominent as adoption grows. Ultimately, the success of agentic commerce will depend not only on technological readiness but also on establishing trust among consumers and navigating complex ethical and competitive considerations.
