Written by

Phuong Doan

A marketing professional focused on transforming insights into accessible content that help audiences better understand consumers and markets.

Key Insights from TGM E-commerce Insights 2026

Agentic Commerce in 2026: How AI Agents Enable Smarter Buying and Better Deals

June 13, 2026

(Updated June 28, 2026)

In 2026, the retail landscape is experiencing a massive paradigm shift driven by Agentic Commerce. This article by TGM Research explores how autonomous AI agents are moving beyond simple recommendations to actively manage the entire consumer buying journey.

Online shopping is getting more competitive, and consumers are placing even greater emphasis on finding the best value. More demands, more ways to serve. With the ignition of AI-powered shopping assistants, many e-commerce platforms can influence how consumers navigate their decisions.

By continuously scouting the best deals, evaluating options, and automating suggestions, these intelligent agents are enabling smarter, faster buying experiences. Instead of manually browsing through dozens of websites, shoppers can now use AI agents to compare prices, monitor promotions, and recommend products that match their needs.

Backed by latest data from e-commerce reports, TGM Research breaks down the evolving consumer behavior, market context, and technological shifts defining this era.

Key Takeaways

Price stays as the strongest driver of online shopping decisions across European markets.
Agentic commerce allows AI agents to compare prices, track deals, and recommend products automatically.
Businesses need to optimize product information, visuals, and trust signals to remain competitive in AI-driven shopping environments.
AI-powered shopping experiences can reduce the time, and effort consumers spend researching products.

Why Price Still Dominates Consumer Decisions

Across Europe, prices continue to be the major factor influencing online shopping behavior. Findings from the TGM E-commerce Insights 2026 study across 6 European countries and the U.S. show that around 70% of shoppers consider the “best overall price” to be the main factor influencing their purchase decisions (N=7077).

Consumers are also proactive in evaluating different options before buying. Around 53% of shoppers compare products across multiple marketplaces, reflecting a strong focus on finding the best value available (ChannelEngine’s Marketplace Shopping Behavior Report 2026).

Agentic Commerce in 2026: Smarter Buying, Better Deals with AI Agents

Discount-driven trends are highly visible as well. TGM data on e-commerce consumer behavior 2026 across 7 countries showed a clear signal. 53% of shoppers actively look for promotions and discounts when shopping online (N=7077). Consumers are not only searching for products, but also carefully timing purchases to maximize savings.

Why do people care most about price and value? The answer is simple: inflation, economic uncertainty, and rising living costs make them be more selective. Instead of impulse purchases, shoppers compare brands & platforms to find the best deal value and reduce overall costs.

These movements create an environment where speedy delivery, price transparency, and personalized recommendations are getting the center in e-commerce.

How Agentic Commerce Helps Consumers Find Better Deals

Agentic commerce refers to the use of AI agents to support and automate parts of the shopping journey. Instead of simply displaying search results, AI agents can actively evaluate options, compare pricing, and recommend products based on user preferences.

For price-sensitive consumers, this creates a faster and more efficient way to shop.

AI agents can compare prices instantly across multiple platforms, helping users identify the best available deal without manually visiting different websites. They can also track discounts and promotions automatically, helping shoppers monitor price changes and promotional campaigns in real time.

According to insights from IBM’s article (published Jan 2026), AI agents are artificial intelligence-powered systems that autonomously perform tasks by designing workflows with available tools. These technologies can scan multiple retailers simultaneously, evaluate products against user preferences and constraints, and make recommendations or purchasing decisions on behalf of users

With AI agents, consumers may spend less time searching for products and more time evaluating personalized recommendations generated through AI-assisted shopping systems. Online shopping from a manual process is how into a more automated experience.

Beyond Price: Additional Benefits of Agentic Commerce

Even though pricing is known as a major advantage, agentic commerce has its own position. The new technology introduces several broader benefits for consumers:

Faster Decision-Making

AI agents can quickly narrow down large product selections by filtering options based on user preferences, budgets, and purchase history. This reduces the time consumers spend researching products manually. A trend clearly shown through the UK shoppers' expectations, where their decisions are also driven by personalized digital experiences.

Reduced Effort in Product Comparison

Comparing specifications, reviews, and prices across multiple platforms can be time-consuming. AI agents help automate this process, making product evaluation more efficient.

More Personalized Recommendations

AI-assisted shopping systems are capable of reading into self-treating behavior. They learn your shopping habits through your scroll, your view, your preferences. Over time, product recommendations have become much more accurate. This evolution aligns perfectly with rising consumer demands.

Better Matching Between Consumer Needs and Products

Instead of relying only on keyword searches, AI agents can evaluate products based on broader context, including user priorities, price sensitivity, and product requirements. Together, these benefits suggest that agentic commerce is changing how consumers find deals and navigate their shopping experience.

How Businesses Can Adapt to Agentic Commerce

Since AI agents have already involved in online shopping journeys, businesses will need to adapt how products are presented, discovered, and evaluated. Brands and platforms can rethink how they approach pricing, promotions, and strategies:

Optimize Product Pages for Mobile Shopping

TGM E-commerce Insights 2026 shows that smartphones are one of the most commonly used devices. You can find this data in a any Europe country, even it is France's localized market or a diverse e-commerce landscape like Spain. As a result, businesses should prioritize mobile-first product experience.

Optimizing visuals for mobile devices brings two advantages. First, mobile-friendly images can improve how AI systems interpret and scan products across AI-assisted shopping environments. Second, visuals designed specifically for smartphone screens are often more effective at capturing user attention and improving click-through rates.

In European markets, TGM data also shows that the highest levels of e-commerce demand are concentrated in Fashion, Electronics, and Beauty. Each category requires a different visual strategy:

Fashion: Visual-first and inspiration-driven content with strong lifestyle imagery.
Electronics: Specification-focused visuals that support comparison-heavy decision-making.
Beauty: Detail-oriented visuals that reinforce trust, product quality, and authenticity.

Structure Product Information Clearly

AI agents rely heavily on structured and accessible product information. Businesses should ensure that product pages include clear titles, specifications, pricing details, availability, and category information. Well-structured product data makes it easier for AI systems to interpret and recommend products accurately.

Maintain Transparent and Competitive Pricing

Because AI agents can compare prices across multiple retailers almost instantly, pricing transparency is becoming increasingly important. Businesses that maintain competitive pricing and clearly communicate discounts, bundles, or promotions may be more likely to remain visible in AI-assisted shopping recommendations.

To optimize business strategies and effectively reach target consumers, brands can explore practical e-commerce market research use cases from industry experts.

Strengthen Trust Signals

Reviews, ratings, product descriptions, and customer feedback will continue to play a major role in purchase decisions. As AI agents evaluate products on behalf of consumers, strong trust signals can help improve credibility and increase the likelihood of products being recommended.

The Future of Agentic Commerce

Agentic commerce is reshaping how consumers search, compare, and purchase products online. As shoppers become more price-conscious and digitally driven, AI agents are emerging as tools that simplify decision-making and improve access to better deals.

For businesses, this shift introduces both opportunities and challenges. Success in AI-assisted commerce environments will increasingly depend on pricing transparency, structured product information, mobile-optimized experiences, and strong trust signals.

AI agents are now part of everyday shopping behavior, brands that adapt early may be better positioned to remain visible, competitive, and relevant in the evolving e-commerce landscape.

Methodology

The TGM E-commerce Insights 2026 study is based on a large-scale quantitative survey conducted across multiple countries worldwide, designed to capture consumer shopping patterns, users frequency, and decision drivers in 2026. The study provides comparable, country-level data to support market assessment, localization, and strategic planning for e-commerce platforms, retailers and brands.