E-commerce is entering a new phase as artificial intelligence moves beyond helping consumers search and compare products towards actively making purchasing decisions on their behalf.
Known as agentic commerce, the emerging model involves autonomous AI agents researching products, comparing prices, checking availability and, in some cases, completing transactions according to a shopper’s instructions.
For retailers, the change could fundamentally alter how online stores compete for customers. Instead of relying exclusively on consumers visiting websites, browsing categories and comparing products manually, brands increasingly need to ensure their product information can be discovered and understood by AI systems.
Major e-commerce technology providers are already developing tools designed for this new environment. BigCommerce’s e-commerce trends coverage highlights the growing importance of AI-driven shopping experiences and structured product information.
The implications for retailers extend deep into their technology infrastructure. Product descriptions, specifications, pricing, inventory availability, delivery options and promotional information all need to be accurate and accessible to automated systems.
A retailer whose website looks attractive to a human shopper but provides incomplete or outdated information to an AI agent could increasingly find itself overlooked during the purchasing process.
This represents a significant change in digital marketing. Traditional e-commerce has focused heavily on search engine optimisation, advertising, website design and persuasive product content. Agentic commerce adds another layer: making retail data machine-readable and trustworthy enough for autonomous systems to use.
For consumers, the potential benefit is convenience. Instead of spending hours comparing dozens of products, a shopper could give an AI agent a budget, preferred specifications and delivery requirements and allow it to identify suitable options.
The challenge for retailers will be maintaining control over pricing, customer relationships and brand presentation while increasingly dealing with AI systems acting as intermediaries.
As agentic commerce develops, the most competitive online retailers may be those that make their data not only attractive to people, but also clear, current and actionable for machines.