Pattern Group Revenue Rises 40% as AI Product Discovery Reshapes eCommerce

Pattern Group’s fourth quarter results, posted after the market closed on Thursday (March 5), reflect broader shifts underway in digital retail as brands expand across more marketplaces and artificial intelligence begins to influence how consumers discover products online.

Pattern operates a technology platform that helps brands manage product listings, advertising and logistics across global marketplaces. The system aggregates large volumes of marketplace data to help brands maintain visibility and manage pricing and inventory across different digital storefronts.

The company said revenue reached $723 million in the quarter, up 40% year on year, with particularly strong growth coming from marketplaces outside Amazon. Non-Amazon revenue increased 94% during the period and rose 60% for the full year, suggesting that brands are spreading their online sales strategies across multiple digital platforms.

Speaking during the company’s earnings call, CEO David Wright said advances in large language models and AI-powered product discovery tools are starting to alter how consumers evaluate products and navigate the purchasing process.

“We are entering a new era of eCommerce, where traditional buying channels face simultaneous headwinds and tailwinds,” Wright told analysts, pointing to the growing role of AI systems that can help consumers analyze reviews, compare pricing and surface relevant products more quickly.

“eCommerce is evolving rapidly, driven by AI, automation, social commerce and global scale,” Wright told analysts.

Those developments could shorten the path from product discovery to purchase amid the rise of agentic commerce.

Data Infrastructure Expands

As online retail expands across a growing number of marketplaces and digital platforms, companies are placing greater emphasis on data systems that track demand signals across multiple channels.

The Pattern Intelligence layer is now powered by more than 66 trillion data points, up significantly from 47 trillion just six months ago, Wright said of the information used to monitor consumer behavior, pricing trends and marketplace activity.

Executives suggested that the growing scale of data reflects how eCommerce is becoming more fragmented. Transactions may originate from marketplace searches, social commerce storefronts or AI-powered shopping assistants that recommend products to consumers. As those entry points multiply, brands must coordinate pricing strategies, advertising campaigns and inventory availability across a broader network of platforms.

Brands Expand Across Marketplaces

Pattern’s results also underscore a broader shift in digital commerce as brands diversify beyond a single dominant marketplace. That diversification reflects a broader transformation in online retail. Social commerce networks, regional marketplaces and emerging AI-powered discovery tools are expanding the number of ways consumers can encounter products online.

The company now operates across more than 70 marketplaces globally, and management said more than two-thirds of its brand partners manage activity across multiple platforms simultaneously. Executives pointed to strong growth across several emerging marketplaces, including TikTok Shop, Walmart’s online marketplace and Coupang in South Korea.

Chief Financial Officer Jason Beesley said adjusted EBITDA of $43 million in the fourth quarter, was up 59% from the prior year. Looking ahead, management expects revenue in 2026 to reach between $3.12 billion and $3.16 billion, implying growth of roughly 25% to 26%.

Shares were up 11% in after-hours trading on Thursday.