Ever wished you could tell your shopping assistant, ‘Find me the best running shoes under Rs 5,000, make sure they arrive by Friday, and don’t wake me up with 27 questions?’
Welcome to agentic commerce, the next big buzzword making its way into conversations around artificial intelligence, e-commerce, payments and brand strategy.
The idea is simple, but its implications are anything but. Instead of merely helping consumers search for products, AI agents could take on parts of the shopping journey, from discovering options and comparing prices to placing orders and arranging repeat purchases.
In other words, the shopping assistant is no longer just showing you the shop window. It could be walking into the store, picking up the product, paying at the counter and bringing the bag home.
But what exactly makes commerce agentic? And why are brands, retailers and payment companies paying attention?
Agentic Commerce: The Shopping Assistant Gets A Promotion
Traditional online shopping usually follows a familiar routine.
You open an app. Type a search query. Scroll through endless product listings. Compare prices. Read reviews. Add something to your cart. Then, perhaps after three days of thinking about it, you finally check out.
AI-powered shopping has already made parts of this journey easier. It can recommend products, answer questions and summarise reviews.
Agentic commerce takes the concept a step further.
An AI agent can be designed to understand a goal, break it into smaller tasks, use connected tools and take actions within the permissions given to it.
So instead of asking: ‘Show me waterproof hiking shoes.’
A consumer might say, ‘I’m going on a trek next month. Find waterproof hiking shoes under Rs 7,000, in my size, with good reviews, and order them once I approve the final choice.’
The agent could then search, compare, shortlist, and potentially complete the purchase.
The important word here is ‘action’.
A chatbot primarily responds. An agent can work towards an objective.
That does not mean every AI assistant can independently buy anything today. The actual capabilities depend on the platform, merchant integrations, payment systems and the permissions granted by the user.
But the direction is clear: commerce is moving from *search and click* towards *intent and execution*.
From Search Rankings To Being The Brand AI Recommends
Here is where agentic commerce becomes particularly interesting for marketers.
For years, brands have competed for visibility on search engines, marketplaces, social platforms, and shopping apps. The goal was to appear when consumers searched for a product.
Now imagine a consumer asking an AI agent: ‘Find me a reliable laptop for video editing under Rs 80,000.’
The agent may evaluate products using information such as price, specifications, availability, delivery options, customer preferences and other relevant criteria.
The consumer might never visit ten brand websites. They might not even see every available option.
This introduces a new marketing conversation: AI-led discovery
Brands may need to think about how their products are represented in AI-generated recommendations, whether product information is accurate and accessible, and how their offerings compare against alternatives.
This is where terms such as AI visibility, machine-readable product data, product discoverability, and recommendation relevance enter the conversation.
But there is a crucial distinction. Being mentioned by an AI agent is not the same as winning a purchase. The recommendation still needs to fit the consumer’s needs, budget and preferences.
And that brings us to a bigger question: how does a brand earn trust when the first interaction is with an AI rather than a human?
Trust Becomes The New Checkout Counter
The biggest challenge in agentic commerce may not be finding the right product. It may be deciding whether an AI agent should be trusted to buy it.
Think about the information involved in a purchase. Your budget. Your address. Your preferred brands. Your shopping history. Your payment details. Your delivery preferences.
Now imagine an AI agent using some of that information to make decisions on your behalf. Convenient? Absolutely.
But convenience comes with questions.
What happens if the agent selects the wrong product? What if the price changes? What if the item is unavailable? What if the agent misunderstands the consumer’s instructions? And who is responsible if something goes wrong?
This is why trust, transparency, consent, security and consumer control are becoming central to the agentic commerce conversation.
A trustworthy agentic shopping experience needs more than a smooth interface. Consumers need to understand what an agent is allowed to do, which information it can access, when it requires approval and how they can reverse or dispute an action.
Payment companies and commerce platforms therefore have an important role to play. They need to support secure transactions, clear authorisation, fraud prevention and mechanisms that help consumers remain in control.
The future of shopping may involve fewer clicks, but that does not mean fewer safeguards. In fact, the opposite could be true.
Ultimately, agentic commerce is not simply about AI buying things on our behalf. It is about turning consumer intent into action with fewer clicks, fewer steps and potentially far less friction. For brands, that could mean competing not just for a consumer’s attention, but for a place in the AI-driven decision-making process.
The shopping journey may be getting more automated. But the fundamentals remain the same: relevance, trust, convenience and a reason to choose one brand over another.
The difference is that increasingly, the first decision-maker in that journey may not be the consumer alone it could be the AI agent shopping alongside them.
