Artificial intelligence is no longer experimental for retailers. New research from Pattern Group reveals that AI powered shopping agents are changing how consumers find and buy products and reshaping ecommerce economics. With strong adoption rates and rising investment, retailers that move quickly to operationalize agent technology will gain an edge in customer acquisition efficiency and sales growth.
Key findings from Pattern Group research
Pattern Group surveyed 1,000 senior business leaders across the United States the United Kingdom Germany and the United Arab Emirates. The data shows clear momentum for AI driven search and agent based shopping experiences:
- 76 percent of ecommerce organisations report reduced customer acquisition costs as consumers increasingly rely on AI tools to discover and purchase products.
- One in three companies have already deployed AI powered shopping agents.
- 87 percent of respondents expect AI powered search to drive direct sales growth over the next 12 months.
These results point to a fast moving market where consumer behavior and commerce infrastructure are aligning around conversational search and agent led recommendations.
Investment trends and what brands are spending
Investment is following adoption. On average ecommerce companies invested about $291,626 in AI over the past year and expect that figure to rise by roughly eleven percent to $323,886 in 2026. Brands are prioritizing:
- AI powered customer service to handle queries and returns with greater efficiency.
- Hyper personalized advertising that converts at scale.
- Intelligent product discovery that shortens time to purchase.
This spending pattern reflects a move from pilots to production systems where AI must deliver measurable ROI across conversion retention and lifetime value metrics.
Agentic commerce and sector readiness
Pattern Group highlights the rapid emergence of agentic commerce where autonomous AI agents act as a new operating layer for shopping. Across sectors:
- 57 percent of ecommerce businesses are exploring use cases for AI agents.
- 33 percent are actively preparing for deployment.
- Fashion leads adoption with 46 percent of brands prepared to use agents as a primary discovery and purchase channel.
- Beauty shows heavy exploration with 59 percent considering agents though only 27 percent feel fully prepared.
These figures mean that while interest is widespread readiness varies by category and by the maturity of data and real time operations.
Strategy implications for retailers
To win with AI shopping agents retailers need to focus on three practical priorities:
• Clean and unified product and inventory data so agents can recommend accurate options at the moment of decision.
• Real time operations to ensure availability pricing and delivery options are reliable and transparent.
• Trust and explainability so consumers accept agent recommendations and feel confident in purchase decisions.
Ryan Byrd Chief Technology Officer at Pattern notes that agentic AI is an operating layer not a marketing channel. Brands that treat it like another channel risk falling behind as accuracy availability and trust become competitive differentiators.
Industry recognition and the RTIH AI in Retail Awards
The arrival of agentic commerce and broader AI adoption is being celebrated with industry awards that highlight usable innovation. The RTIH AI in Retail Awards recognize solutions that make AI practical in everyday retail work improving efficiency customer experiences and employee productivity. Events and award programs help surface best practice deployments and inspire faster adoption across the sector.
Preparing for the next wave of AI in retail
Retail leaders should treat this research as both proof of concept and a call to action. Practical steps include:
- Audit data quality for product catalogues inventory and pricing.
- Pilot agentic experiences in high impact categories such as fashion and beauty.
- Measure effects on customer acquisition cost conversion rates and lifetime value.
- Invest in explainable models and privacy safe personalization.
These actions will help brands move from exploration to reliable deployment and deliver the sales growth many expect in the coming year.
Conclusion and next steps
AI shopping agents are accelerating a shift in how consumers discover purchase and interact with brands. Pattern Group research shows clear commercial benefits for early adopters and rising investment as more companies prepare for production grade agents. If your ecommerce strategy has not yet accounted for agentic commerce now is the time to prioritize data operations and pilot meaningful agent experiences.
Ready to explore AI shopping agents for your business Learn how to audit your data and run a pilot that focuses on measurable customer acquisition savings and sales growth.
