Pattern’s First Earnings Call Highlights 46% Growth as AI Platform Scales Globally

In its first earnings call after going public, Pattern told investors Wednesday (Nov. 5) that its technology platform continues to scale efficiently as global brands shift toward automated, data-driven commerce.

CEO Dave Wright said the company’s systems “act as an intelligent layer that connects brands to demand across every major marketplace,” enabling real-time optimization of pricing, logistics and product visibility. CFO Jason Beesley said results reflected “broad-based strength across markets” and pointed to continued improvements in fulfillment and marketplace execution as key drivers of operating leverage.

Pattern reported Q3 2025 revenue of $639.7 million, up 46% from a year earlier. Net revenue retention reached 122%, its highest level to date. The company’s business model, Wright said, is designed to align with brand partners by purchasing inventory outright and managing global sales channels directly. “We’re processing 46 trillion data signals across search, content and logistics,” he told analysts. “Each one strengthens our optimization loops.”

The company noted its core technology platform now taps more than 46 trillion customer-journey data points, growing by roughly 100 billion data points each week, a scale that underpins its ability to optimize traction for brands through continuous AI learning across pricing, availability and conversion. By feeding real-time inputs from multiple marketplaces into proprietary algorithms, Pattern said it can forecast demand, automate ad bidding, and fine-tune product placement with measurable, repeatable results.

Wright added that these data systems allow Pattern to respond instantly to fluctuations in price elasticity, consumer intent, and supply-chain conditions. “Even modest gains in visibility or conversion can translate into millions of dollars in additional sales for our brands,” he said.

Marketplace Diversification

Revenue from non-Amazon marketplaces grew 81% year over year to $47.1 million, accounting for 7.4% of total revenue. “Growth from Coupang accelerated faster than any other marketplace onboarding in our history, up more than 150 times from the prior quarter,” Wright said, calling it evidence of how quickly Pattern can scale localized operations when supported by its automation infrastructure.

International revenue climbed 72% to $52.9 million, led by Europe, China and the Middle East, as more brands used Pattern’s system to manage fragmented marketplaces and logistics networks. Roughly half of that growth came from new brand partners across home, electronics and consumer goods. The results matter because international expansion typically pressures margins, yet Pattern maintained efficiency through its centralized data and fulfillment infrastructure, an early sign that its model can scale globally without significant cost drag.

Pattern said it continues to see strong momentum in social commerce, with platforms such as TikTok and other engagement-driven ecosystems emerging as new drivers of discovery. Wright said these channels are “becoming the new storefronts of digital retail,” where success depends less on logistics and more on matching content and product in real time.

Pattern’s IPO reflected a broader shift in eCommerce toward technology-led infrastructure over brand aggregation. As PYMNTS reported, the company invested roughly $142 million in building technology to support proprietary artificial intelligence (AI) and logistics systems, including its GEO “generative engine optimization” tool that turns marketplace and search data into prompts for large language models. The system, already active in high-digital markets like South Korea, illustrates how Pattern is using AI to automate discovery, pricing, and fulfillment at scale

What Else Stood Out on the Call

Pattern is expanding its AI infrastructure to support agentic workflows, autonomous, non-deterministic systems that execute complex eCommerce tasks at lower cost. This layer will increasingly automate core operations and enable brand partners to scale without additional overhead.

Wright said the company’s goal is to “let brands focus on creating great products while we handle the operational challenges.” The platform integrates data from marketing, fulfillment and inventory systems to remove bottlenecks and simplify cross-border execution.

Automation tools across pricing, fulfillment, and inventory optimization are already delivering measurable lifts in conversion and cost savings, powered by the weekly inflow of 100 billion new data points feeding its AI models.

“Our approach remains disciplined,” Beesley said. “We continue to invest in technology and sales to capture growth while maintaining profitability.” Wright added that automation investments “position us to scale efficiently through 2026 as commerce becomes more intelligent and data driven.”