For over two decades, organisations have competed for digital attention. Success in commerce has largely depended on attracting customers to a digital channel, guiding them through a carefully designed journey and creating enough confidence or inspiration for them to complete a purchase. Every investment in search, personalisation, merchandising and user experience has been designed to support that objective.

Artificial intelligence is starting to change that model by moving more of the search, comparison and decision-support process away from traditional digital journeys and into AI-mediated interactions.

As generative AI becomes embedded into everyday life, customers are beginning to delegate parts of the shopping journey to intelligent agents. Instead of spending time researching products, comparing reviews or navigating multiple websites, they’ll increasingly ask AI to identify the most appropriate option based on their needs, preferences and previous behaviours. The customer remains firmly in control of the decision, but the way that decision is reached is fundamentally different.

This represents a significant shift for organisations. For the first time, brands won’t just need to influence customers. They’ll also need to ensure that AI systems can confidently understand, evaluate and recommend their products.

A new route to purchase

Traditional ecommerce has always been designed around exploration. Customers discover products through advertising, search engines, social media or recommendations before comparing options and making a decision. Organisations have become highly sophisticated at optimising every stage of this journey, investing heavily in customer experience, conversion rate optimisation and digital merchandising.

Agentic Commerce introduces a different dynamic. Rather than asking customers to navigate increasingly complex product ranges themselves, AI can analyse thousands of products, interpret customer intent and present a recommendation within seconds. Whether someone is looking for the most energy efficient washing machine, the best value family holiday or a laptop that meets a specific set of requirements, AI has the potential to remove much of the effort traditionally associated with online shopping.

Over time, this role may extend beyond recommendation. AI agents could increasingly manage more of the transaction itself, from checking availability and applying loyalty benefits to completing payments, coordinating delivery and supporting returns where the customer has given permission. That means organisations need to prepare not only for AI-assisted discovery, but for AI-enabled execution across the full commerce journey.

For consumers, this creates a simpler and more convenient experience. For organisations, however, it changes the foundations of digital commerce. Success will increasingly depend not only on creating exceptional customer experiences, but also on ensuring products are represented in a way that intelligent agents can easily interpret and trust.

The implication is that Agentic Commerce is not a single technology shift. It changes how demand is created, how products are evaluated, how transactions are completed and how performance is measured.

The competitive landscape is changing

This evolution doesn’t mean websites, apps and digital storefronts become less important. They remain critical destinations for customers who want to explore products, engage with brands and build confidence before purchasing. What changes is the number of journeys that begin elsewhere.

As AI becomes a trusted intermediary, organisations may find that customers arrive having already made much of their decision. In some cases, they may complete purchases without browsing at all. That means brands will need to think beyond traditional acquisition strategies and consider how they become the recommendation an AI agent is most likely to make.

Achieving that requires more than strong marketing. It demands high-quality product data, transparent pricing, accurate inventory, structured content and clear signals of trust. AI cannot recommend what it cannot understand, and it is unlikely to recommend what it cannot verify. This is giving rise to a new discipline of Agentic Commerce Optimisation: ensuring that products, policies, pricing and trust signals are structured so AI agents can discover, interpret and recommend them accurately.

Trust will also depend on more than product information. As agents take on a greater role in decision-making and transaction execution, customers will need confidence that their preferences, permissions, payment details and personal data are being handled responsibly. Clear consent, secure identity, transparent recommendations and responsible AI governance will become core components of commerce readiness.For many organisations, product information may become just as strategically important as advertising spend.

This also has direct commercial implications. As AI agents begin to influence discovery, comparison and conversion, organisations may need to rethink how they measure acquisition, loyalty and margin. The brands that are easiest for agents to understand and trust could benefit from lower friction, more qualified demand and fewer avoidable returns, while those with poor data or inconsistent signals risk being excluded before the customer ever reaches their site.

As more journeys are mediated by AI, traditional measures such as traffic, click-through and funnel progression may become less reliable indicators of demand. Organisations may need to place more weight on recommendation visibility, agent-driven conversion quality and the value of customers who arrive with clearer intent.

Designing for people and intelligent agents

One of the biggest misconceptions surrounding Agentic Commerce is that organisations will soon be designing experiences exclusively for AI. In reality, the goal is not to replace human-centred commerce, but to extend it so that both customers and their AI agents can navigate, evaluate and act with confidence.

Customers will continue to value brands they trust, experiences they enjoy and products that reflect their personal preferences. Emotional connection, creativity and storytelling will remain essential components of successful commerce. AI simply changes how customers arrive at those experiences.

The challenge for organisations is to design ecosystems that work effectively for both audiences. Customers still expect engaging digital experiences when they choose to interact directly, while intelligent agents require structured information, connected systems and reliable data that enables them to make informed recommendations.

The organisations that succeed won’t optimise for one or the other. They’ll build commerce experiences that are equally effective for people and the AI systems acting on their behalf.

Preparing for the next generation of commerce

The shift towards Agentic Commerce won’t happen overnight, but it’s already underway. AI powered assistants are becoming increasingly capable of understanding customer intent, comparing products and supporting purchasing decisions across industries ranging from retail to travel and financial services.

Organisations don’t need to rebuild their commerce strategy from scratch, but they do need to begin asking different questions. Is product data consistent across every channel? Can AI interpret product attributes accurately? Are trust signals visible, verifiable and up to date? Do digital experiences support a world where customers may enter the journey much later than they do today?That shift will also affect marketing and retail media strategies. As discovery moves from search results and onsite placements into AI-generated answers, platform agents and automated checkout experiences, organisations will need to understand where influence is created and how visibility is earned in those environments.Those organisations that start addressing these questions now will be far better positioned as AI becomes a more influential part of everyday commerce.

Ultimately, Agentic Commerce isn’t about replacing customers with technology. It’s about recognising that purchasing decisions are becoming increasingly collaborative, with humans defining intent and AI helping navigate complexity, compare choices and execute tasks. Organisations that embrace that shift will be best placed to create commerce experiences that are more efficient, more trusted and more valuable, while building the data, operating model and ecosystem capabilities needed for the next era of growth.

Ready for the next era of commerce?

At Deloitte Digital, we help organisations prepare for the future of commerce by combining AI, customer insight and connected digital experiences to create ecosystems that work seamlessly for both people and intelligent agents.Whether you’re reimagining digital storefronts, modernising product data or exploring the role of AI across the customer journey, we’ll help you build a commerce strategy that’s ready for what’s next.