What if, instead of searching through dozens of options yourself, you could tell an AI what you need and let it help you find, compare, and potentially purchase the right product?

Imagine planning a birthday celebration.

You need a venue, a cake, decorations, and perhaps a photographer. You have a budget, a preferred location, and limited time.

You might search Google for venues, check Instagram for cake vendors, ask friends for recommendations, and message several businesses before making a decision.

Now imagine an AI assistant that understands your requirements, finds suitable options, compares relevant information, and helps you work through the next steps.

Depending on its capabilities and permissions, it might even complete parts of the purchasing process on your behalf.

This is the idea behind agentic commerce.

As artificial intelligence develops, the way people discover products, evaluate businesses, and make purchases may change. Shopping could become less about manually navigating dozens of websites and more about communicating what you need to an intelligent system that helps you act on it.

But what exactly is agentic commerce, how does it work, and what could it mean for consumers and businesses?

What Is Agentic Commerce?

Agentic commerce refers to buying and selling experiences in which AI agents can perform shopping-related tasks on behalf of consumers or businesses.

Traditional online shopping usually requires people to search for products, filter results, compare options, check availability, and complete checkout themselves.

An AI assistant may help by answering questions or recommending products. An AI agent can go further when it has the necessary tools, permissions, and integrations: it can carry out a sequence of tasks towards a defined goal.

For example, a consumer could ask an AI agent to find a laptop suitable for university, compare options within a set budget, check specifications, and prepare a purchase for approval.

More advanced systems may be able to complete permitted transactions or coordinate several steps.

The distinction is important: an AI agent can potentially act on a user’s goal, rather than simply provide information about it.

The degree of autonomy varies. Some systems only suggest options, while others can perform specific actions with user approval. Agentic commerce is evolving, and not every AI shopping tool can complete purchases independently.

How Does Agentic Commerce Work?

An agentic shopping experience generally involves five steps.

1. The Consumer Explains What They Need

The process begins with a goal.

Instead of entering a short search phrase, someone might say:

“I’m looking for a durable laptop for graphic design. My budget is ₦800,000, and I need something I can buy from a reputable seller in Nigeria.”

The agent uses this information to understand the user’s priorities, including budget, location, specifications, and preferences.

2. The Agent Finds Relevant Options

The agent uses available search tools, product catalogues, business data, or connected services to identify potential matches.

For local commerce, this could eventually include discovering businesses, professionals, service providers, venues, and experiences, not just physical products.

However, an agent can only work with information it can access. Missing or outdated business details may lead to incomplete recommendations.

3. It Compares the Options.

The agent evaluates potential matches against the user’s requirements.
For a laptop, that might mean comparing price, specifications, warranty, and availability.

For a local service provider, it could involve location, specialisation, pricing, and customer feedback, where reliable information is available.

The cheapest option is not always the most suitable, and the most visible business is not necessarily the best match.

4. It Helps the Consumer Decide

The agent presents relevant options and explains how they compare.

The user can ask follow-up questions, adjust preferences, or request alternatives.

A useful system should make its recommendations understandable and communicate uncertainty when information is missing or cannot be verified.

5. It Takes Action Within Its Permissions

Depending on its capabilities, the agent may add an item to a cart, fill in purchase details, arrange a booking, or complete a transaction.

Actions involving money or other significant commitments should have appropriate safeguards and authorisation.

An agent should not assume permission to spend money, share personal information, or make commitments simply because a user expressed a general goal.

The aim is to reduce the amount of work a consumer must do manually while preserving meaningful user control.

Why Is Agentic Commerce Gaining Attention?

Agentic commerce brings together increasingly capable AI systems, conversational interfaces, digital catalogues, online payments, and tools that allow software to perform actions.

Together, these developments create opportunities for more personalised and task-oriented shopping experiences.

1. Consumers Want Convenience

Searching across multiple websites, comparing similar products, and checking details can make even a simple purchase feel complicated.

AI agents could reduce some of this effort by helping people move from a general need to a shortlist of suitable options.

For example, someone planning a trip could ask for accommodation within a budget, close to particular attractions, and equipped with the facilities they need.

2. Recommendations Can Become More Personalised

Traditional search often begins with keywords. Agentic experiences can also take account of context expressed in a conversation.

A consumer might explain that they are buying for a child, have a strict budget, prefer locally made products, or need a service in a particular neighbourhood.

An agent can use these constraints to narrow the available options.

However, personalisation is only useful when the system has relevant information and uses it appropriately. Poor data or incorrect assumptions can lead to unsuitable recommendations.

3. Shopping Can Become More Task-Oriented

Instead of treating every purchase as a separate search, consumers may increasingly delegate parts of a larger task.

Someone organising a business event, for instance, might need a venue, catering, photography, and printing.

An agent could help identify suitable suppliers and organise a shortlist. With the right integrations and permissions, it might also help coordinate enquiries and bookings.

The potential benefit is the ability to manage several connected steps around a single goal.

What Does Agentic Commerce Mean for Small Businesses?

For small businesses, agentic commerce presents both an opportunity and a challenge.

The Opportunity: Reach Customers Through New Discovery Paths

Customers do not always discover businesses by searching for a business name. They may begin with a problem, an occasion, a budget, or a particular need.

Someone might ask for a reliable electrician nearby, a photographer for a traditional wedding, or a family-friendly place to spend a Saturday afternoon.

AI-powered discovery systems could help connect those needs with relevant providers.

For small businesses, this creates the possibility of being discovered by people who have never heard of them.

However, appearing in an AI-generated recommendation depends on the system, available information, and other factors. No platform can guarantee inclusion across all AI assistants.

The Challenge: Being Online May Not Be Enough
A business can have a social media account and still be difficult to understand or evaluate.

Its location, opening hours, services, pricing, or contact details may be missing or inconsistent across different platforms.

Businesses may benefit from making their information complete, accurate, and easy to interpret.

This is particularly important when automated systems rely on available digital information to identify suitable options.

Trust Will Still Matter
AI can organise information, but it does not automatically make that information reliable.

A system may encounter inaccurate listings, misleading reviews, outdated prices, or incomplete descriptions.

Consumers still need ways to assess whether a recommendation is appropriate and whether a business is credible.

Visibility can help a business get noticed. Trust helps people feel confident about choosing it. Both matter.

Agentic Commerce and Local Commerce in Africa

Much of the discussion about AI shopping focuses on large online retailers, product catalogues, and digital checkout.

But commerce also happens through local businesses, service providers, professionals, community recommendations, and in-person experiences.

In many African markets, discovering a business can involve several channels. Someone might see a business on Instagram, ask a friend for a recommendation, message the owner on WhatsApp, and then visit in person.

The information needed to make a decision may be spread across these interactions. This raises an important question:

How can AI help people discover local businesses and experiences when the information they need is scattered, incomplete, or difficult to assess?

The answer involves more than an intelligent assistant. AI systems need access to useful information about businesses, an understanding of what consumers are looking for, and ways to identify relevant options.

When trust matters, information about business credibility, customer experiences, and suitability can also help people evaluate recommendations.

This makes local-commerce discovery an important area to explore. The challenge is not simply finding more results. It is connecting people with options that fit their needs and giving them enough information to make informed decisions.

Where Does Xafarii Fit Into This Future?

Xafarii is building a connected discovery experience designed to help people discover businesses, places, experiences, and communities through AI, community knowledge, and business intelligence.

Its broader vision is to strengthen the connection between people looking for something and the businesses or communities that can meet their needs.

That vision relates to several questions emerging around agentic commerce.

For AI-assisted discovery to be useful, systems need more than the ability to generate answers. They need relevant information about available options, an understanding of what people are looking for, and ways to help users evaluate those options.

Xafarii’s focus on local discovery and business intelligence connects to this wider challenge. Its product direction includes AI-powered discovery, recommendations, business information, and community-curated knowledge.

These are relevant building blocks for exploring how technology and human knowledge can support better discovery.

It is important, however, to distinguish the long-term vision from current capabilities. Xafarii is developing its platform, and this article does not imply that it currently offers fully autonomous purchasing or booking through AI agents.

The opportunity is to explore how better business information, relevant recommendations, and human knowledge can contribute to a more useful discovery experience as AI-driven commerce evolves.

How Can Businesses Prepare for AI-Assisted Commerce?

Businesses do not need to wait for fully autonomous shopping systems to become widespread before improving their digital presence.

Here are four practical steps.

1. Keep business information accurate.
Ensure that your business name, address, contact details, opening hours, and services are current.

2. Describe your offerings clearly.
Explain what you provide, who you serve, where you operate, and what makes your offering relevant.

3. Build genuine customer trust.
Deliver good service, respond to feedback, and encourage honest reviews. Never manufacture testimonials or manipulate ratings.

4. Understand how customers discover you.
Pay attention to enquiries, referrals, and the questions potential customers ask. These can reveal gaps in the information available about your business.

Businesses should also follow developments in AI discovery while remaining cautious of anyone promising guaranteed visibility or placement across AI systems.

The Future of Shopping May Begin With a Conversation.

Agentic commerce represents a potential shift in how people interact with digital commerce.

Instead of searching for every product individually, consumers may increasingly describe what they need and rely on AI systems to help explore options, compare alternatives, and complete selected tasks.

But the quality of that experience will depend on more than the intelligence of the agent. It will also depend on the information available, the relevance of its recommendations, the reliability of the businesses it identifies, and the degree of control consumers retain.

For local commerce, these questions are particularly important. People need ways to discover businesses and experiences that suit their circumstances, not simply receive another list of search results.

The future will depend on how technology, reliable information, businesses, and human knowledge work together.

The next evolution of shopping may not be about searching harder. It may be about expressing what you need and getting better help finding it.