AI has been quick to upend the way we shop. Already, customers are trading Google searches for large language models (LLMs) and AI agents as discovery channels. 64% of UK shoppers want to go further, expressing interest in agentic AI for shopping.
In response, retailers are seeking ways to convert intent to transaction directly in AI environments. But in directing so much attention to the customer-facing side of AI commerce, retailers are overlooking a critical need: using the technology to transform backend operations.
This is really where the opportunity lies. To lead in the new AI commerce era, retailers need infrastructure that can support both sides of the industry: agentic commerce to support AI-led shopping and autonomous commerce to power AI-led operations.
Agentic commerce changes how shoppers buy. Autonomous commerce changes how retailers operate.
At the front end, agentic commerce rewrites how customers interact with retailers, giving them new ways to discover, compare, and shop more easily. Autonomous commerce, on the other hand, tackles the inner workings of retail, bringing AI intelligence to operational workflows.
Specifically, autonomous commerce describes the integration of AI across enterprise operations, from pricing to inventory to promotions to fulfilment. Rather than relying on human action for every step, creating delays and bottlenecks, autonomous commerce enlists a fleet of agents to independently sense signals, determine the right actions, and execute them in line with defined governance rules and boundaries.
Why autonomous commerce is critical as AI shopping agents’ scale
As more consumers turn to AI environments to search for, browse, and compare products, they’re beginning to expect the entire shopping journey to live in these spaces, from discovery to purchase. For retailers, that means they must not only be discoverable in AI-led channels but transactable, too.
Behind the scenes, meanwhile, they need systems that can keep up with the growing demand that comes from new discovery channels that accelerate the path to purchase. All while maintaining complex catalogues, upholding regional requirements, and delivering tightly governed brand experiences.
Most commerce infrastructure isn’t ready for this new era, pushing retailers to seek new ways to handle the volume and complexity of AI-driven shopping. Autonomous commerce fits the bill, arming retailers with a fleet of governed AI agents to make and execute decisions at scale.
For example, dynamic pricing agents can monitor competitor prices, demand velocity, stock levels, and margin tests to adjust prices in real time. Meanwhile, inventory agents can use real-time and historical signals to forecast demand. Fulfilment agents can select optimal warehouses, carriers and routes for each order, and experience agents can personalise storefronts and promotional content for each visitor based on live behavioural signals.
How retailers can build the infrastructure for AI-led commerce
To meet consumers’ rising expectations for AI-driven shopping and bring AI intelligence to backend operations, retailers must invest in infrastructure that supports both agentic commerce today and sets the foundation for autonomous commerce tomorrow.
JD Sports is a retailer investing in the infrastructure needed to support the shift to agentic commerce. Rather than replacing its existing systems, JD Sports is investing in AI-ready commerce infrastructure that provides a centralised and consistent way to oversee how products are represented, how intent is captured, and how transactions are completed. While maintaining a firm grip on product data, pricing, and inventory.
The next obvious step for retailers that are shifting towards agentic commerce is to first clear a path for autonomous commerce. That means establishing a headless foundation that exposes products as real-time APIs and then adds intelligence to coordinate and govern agents across operations.
The next competitive edge: enabling autonomous across the entire commerce ecosystem
As retail enters its AI-led era, agents will play a large role in the shopping journey, from discovery to purchase. But retailers shouldn’t treat this shift as a purely consumer-facing challenge. Those who’ve got it right are the ones investing in infrastructure that supports both customer-facing agentic commerce and operational autonomous commerce. Businesses need to look beyond the short-term and start building a fundamentally different model of commerce.
