A Large Portion of E-Commerce Brands Are Deploying AI-Powered Shopping Agents

According to research conducted by Pattern Group, AI-powered search and shopping agents are rapidly reshaping the e-commerce economy. Pattern Group research revealed that AI-focused product discovery and purchasing tools are changing consumer behavior and leading brands to reassess their customer acquisition, marketing, and operational approaches.

According to the study based on a survey conducted with 1,000 senior business leaders operating in the United States, the United Kingdom, Germany, and the United Arab Emirates, the use of AI-powered shopping agents has moved beyond the testing phase and reached an active implementation level in many organizations.

Customer Acquisition Costs Are Decreasing, Adoption Is Increasing

Pattern Group’s research showed that 76 percent of e-commerce organizations have reduced customer acquisition costs as consumers increasingly turn to AI-powered tools in product discovery and purchasing processes. One third of the companies participating in the survey stated that they have already integrated AI-powered shopping agents into their operations.

Pattern Chief Technology Officer Ryan Byrd said that AI agents are no longer an interface of the future but have become a new operational layer of commerce. Byrd stated that brands that treat agentic AI merely as a marketing channel face the risk of falling behind.

According to the research, AI-powered systems bring forward brands that are based on clean data infrastructure, real-time operations, and tangible customer value.

Confidence in AI-Powered Sales Growth Is Increasing

As consumers increasingly use AI tools such as ChatGPT and Gemini in their purchasing decisions, confidence in the commercial impact of artificial intelligence is also increasing. Eighty-seven percent of survey respondents stated that they expect AI-powered search and shopping tools to drive direct sales growth over the next 12 months.

This expectation was associated with consumers turning to conversational AI and intelligent search systems to compare products, evaluate value, and make purchasing decisions. For brands, this transformation reduces dependence on paid advertising channels while increasing the importance of structured product data and AI compatibility.

AI Investments Are Accelerating

Alongside increasing adoption, investments in artificial intelligence in the e-commerce sector have also gained momentum. According to the research, companies invested an average of 291,626 US dollars in AI last year. This amount is expected to increase by 11 percent to 323,886 US dollars in 2026 as brands prioritize AI-powered customer service, personalized advertising, and intelligent product discovery.

The study revealed that AI spending is increasingly being seen as a core operational investment rather than an optional innovation budget. Companies are focusing on integrating AI into daily workflows such as inventory optimization, customer engagement, and sales processes.

The Rise of Agentic Commerce

The research also revealed the rapid rise of a commerce model defined as agentic commerce, which is based on autonomous or semi-autonomous AI agents acting on behalf of consumers. According to the findings, 57 percent of e-commerce businesses are exploring AI agent use cases, while 33 percent are actively preparing for deployment.

Differences by sector drew attention. The fashion sector took a leading position in adoption and readiness levels. Forty-six percent of fashion brands stated that they are prepared for AI agents to become a primary channel in customer discovery and purchasing processes. In the beauty sector, 59 percent of brands are exploring AI agents, while only 27 percent stated that they are fully ready.

These differences showed that interest in agentic commerce is widespread, but the level of operational readiness varies by sector.

Strategic Implications for E-Commerce Brands

Pattern Group’s research revealed that AI-powered shopping agents have become a structural element of e-commerce rather than a short-term trend. With the acceleration of adoption, brands are facing increasing pressure to ensure product data accuracy, system interoperability, and consumer trust in transactions carried out through artificial intelligence.

The research showed that companies that invest early in agentic AI and ensure operational integration are highly likely to achieve cost advantages and competitive superiority as AI-powered commerce continues to grow on a global scale.