The way consumers discover and evaluate products is changing. For years, online shopping has centred on search engines, marketplaces, social media, and retailer websites. Now, artificial intelligence is becoming another layer in the journey—helping shoppers research products, compare options, interpret reviews, and decide what is worth buying.

This shift is already gaining momentum. NIQ reported in 2026 that 42% of consumers use AI tools to shop, with AI influencing product discovery, comparison, pricing research, and product selection.

For eCommerce businesses, this creates a new consideration: what happens when customers stop searching for products themselves and start asking AI what they should buy?

What Is an AI-Powered Shopper?

An AI-powered shopper is a consumer who uses AI tools as part of their purchasing journey. Instead of simply entering keywords into a search engine and browsing through pages of results, they can describe what they need in natural language and ask AI to help them find the right solution.

For example, a shopper might ask:

"I'm looking for a lightweight laptop for video editing, with good battery life, under $2,000. What are my best options?"

The AI can then help narrow down the choices based on the shopper's requirements.

This changes the role of the technology from simply finding information to helping interpret and evaluate it.

AI can help shoppers:

• Discover products that match specific needs
• Compare features, specifications, and prices
• Summarise customer reviews
• Identify alternatives
• Understand technical information
• Create product shortlists
• Find complementary products
• Decide between similar options

The result is a shopping journey that can be faster, more conversational, and more personalised.

From Search to Conversation

Traditional online shopping often starts with a search.

A customer identifies what they want, enters a query, reviews the results, visits several websites, compares products, and eventually decides what to buy. 

AI introduces a different model. Instead of searching for "best running shoes for beginners," a shopper can explain their circumstances, preferences, budget, and requirements in a single conversation. The AI can then help refine the request and narrow the options.

Google has already described this transition as a move from keywords towards natural conversations, with AI being used to narrow shopping choices rather than simply presenting pages of results. That distinction is important for businesses.

In traditional search, appearing on the first page gives a business an opportunity to compete for the customer's attention. In an AI-mediated shopping journey, the customer may receive a shortlist without ever seeing the full set of available options.

The competition is increasingly shifting from being found to being recommended.

AI Is Becoming a New Product Recommendation Layer    

AI doesn't simply give shoppers another way to search. It can influence which products they consider in the first place.

A customer could ask an AI assistant to recommend a product based on price, features, previous preferences, use case, or a combination of requirements. Instead of manually comparing dozens of products, the shopper receives a smaller selection that appears relevant to their needs.

This creates a new layer between the customer and the retailer.

The journey could increasingly look like:

Customer need → AI research → AI recommendations → Product evaluation → Purchase

Why Product Data Matters More Than Ever  

An AI system can only make useful recommendations when it has useful information to work with.

For eCommerce businesses, that makes product data increasingly important.

Product names, descriptions, specifications, pricing, availability, images, reviews, shipping information, and other attributes all contribute to how a product can be understood.

Incomplete or inconsistent information can make it harder for AI systems to accurately determine what a product is, who it is suitable for, and how it compares with alternatives.

NIQ's 2026 research highlights structured product data and AI-readable attributes as important foundations for brands competing in AI-mediated commerce.

This means product data should no longer be treated simply as information that sits on a product page.

It is becoming part of the infrastructure that helps customers discover and evaluate products across increasingly AI-driven shopping experiences.

Preparing for the AI-Powered Shopper

The online shopping journey is entering another stage of evolution.

Consumers once had to navigate websites and search results to find what they wanted. Then search engines made that process faster. Marketplaces brought product discovery and purchasing together. Now, AI is beginning to sit between the customer's question and the products they ultimately consider.

The next competitive advantage may not simply be having the best product or the most attractive website. It may be how effectively your business can make its products understandable, discoverable, trustworthy, and purchasable within an increasingly AI-driven journey.

At Ogg, we believe in preparing for this future by starting with the fundamentals: reliable data, connected systems, useful content, and a customer experience designed to adapt. 

👉  Ready to prepare your eCommerce business for the next generation of shopping?  Book a consultation today through the form below and see how to prepare your eCommerce business for the rise of AI-powered shopping