One in Three Ecommerce Brands Now Use AI Agents To Help Convert Sales
Recent research by Pattern Group Inc. indicates that approximately one-third of ecommerce brands currently utilize AI-powered shopping agents to assist customers throughout their journey, from initial search to checkout.
Recent research by Pattern Group Inc. indicates that approximately one-third of ecommerce brands currently utilize AI-powered shopping agents to assist customers throughout their journey, from initial search to checkout.
These agents function through AI-driven search tools and chat interfaces widely used by consumers. Technologies like ChatGPT and Gemini facilitate product comparison, availability checks, and purchase completions. Pattern's findings highlight that 76% of ecommerce organizations have observed reduced customer acquisition costs due to AI-powered search, thereby minimizing marketing expenses.
Investment in AI is growing due to its proven impact on sales and cost efficiency. According to Pattern, ecommerce companies invested an average of $291,626 in AI over the past year, with projections suggesting an increase to $323,886 by 2026. This investment focuses on enhancing customer service, advertising, and product discovery through AI.
The report reveals that 87% of respondents anticipate an increase in direct sales from AI-powered search within the next 12 months, with US businesses showing the highest confidence at 91%. Smaller ecommerce teams, often more agile and less constrained by legacy systems, report higher adoption of AI agents for customer service and product guidance, reducing the need for additional staff.
Pattern's research indicates that 73% of organizations now consider personalized and scalable shopping experiences essential, with AI agents enabling such experiences through automated recommendations and follow-up.
Pattern reports that 46% of fashion brands are preparing for AI agents to become a primary source of product discovery and purchase, with some already testing virtual style assistants for outfit suggestions and sizing guidance.
These agents function through AI-driven search tools and chat interfaces widely used by consumers.
In the beauty sector, 59% of businesses are exploring AI agent applications, with 27% fully prepared. These agents often utilize skincare data to provide advice akin to in-store consultations. The vitamins and supplements sector follows, with 62% of brands exploring AI agent use, and 28% ready for implementation.
Across all sectors, AI agents facilitate repeat sales post-checkout by triggering reorder reminders and managing support queries, enhancing customer engagement without long wait times.
Future Implications for Ecommerce Sales
AI-powered search is directly linked to sales growth, with 76% of ecommerce organizations reporting reduced customer acquisition costs. This reduction allows for increased investment in stock, pricing, and service quality.
Pattern emphasizes that AI systems reward brands with accurate product data, reliable reviews, and consistent content, increasing their likelihood of being selected by shopping agents.
Looking ahead, 75% of survey respondents believe AI-powered search will continue to support sales over the next two years. However, 73% of organizations feel unprepared for the rapid development of AI, with ethical concerns, outdated systems, and internal resistance slowing progress, particularly in the UK and US.
This data is derived from a survey of 1,000 senior business leaders across the UK, US, Germany, and the UAE.
Ryan Byrd, Chief Technology Officer at Pattern, notes, "AI agents are a new operating layer for commerce. Brands that view agentic AI as merely another marketing channel risk falling behind. This shift rewards accuracy, availability, and trust, favoring brands built on clean data, real-time operations, and genuine customer value."
Based on reporting by techround.co.uk.