Pattern launches Pi AI engine for eCommerce brands

Pattern has launched Pattern Intelligence, or Pi, for its brand partners.

Pattern describes Pi as an AI-based eCommerce execution engine that identifies issues and opportunities across online marketplaces and responds in real time. It monitors featured offers, advertising, content, pricing and inventory, then uses automated action loops to carry out tasks as conditions change.

When a decision requires client input, the platform sends curated action items for approval rather than acting independently. Each action is time-stamped and stored as a searchable record of work carried out on a brand's behalf.

The launch adds a central layer to Pattern's existing eCommerce services, which span advertising, fulfilment, content management, forecasting, pricing and customer service across major online marketplaces. Pattern works with hundreds of brands and says it operates across more than 70 marketplaces, including Amazon, TikTok Shop, Walmart.com, Target.com, eBay, Tmall, JD and Mercado Libre.

Pi has already been deployed across Pattern's brand portfolio and has taken millions of automated actions, according to the company. Those actions include featured offer recoveries, pricing adjustments and content fixes, with the system operating around the clock.

Data foundation

Pi is built on more than 13 years of operational data collected through Pattern's work selling on behalf of global brands. The platform draws on more than 77 trillion proprietary data points, covering pricing decisions, featured offer recoveries, content updates and advertising adjustments made across its client base.

That data pool is growing by more than 800 billion new points a week, according to Pattern. The company added that its broader technology portfolio includes 41 patents issued or pending.

"Pi is our central execution engine. It doesn't just surface insights, it acts on them," said Dave Wright, co-founder and chief executive of Pattern.

"Pi is built on over 13 years of data collection, logic execution, and Pattern's broader technology portfolio, with 41 patents issued or pending, purpose-built to accelerate growth for our brand partners," Wright said.

Alongside the core automation layer, Pattern has outlined a set of tools now available through Pi for brand partners. These include a Daily Brief and Podcast that provide written and audio summaries of a brand's rolling seven-day performance, and a Chat-to-Data function that answers eCommerce questions using Pattern's own data.

The offering also includes Pi Skills, pre-built automations for common eCommerce workflows, and a Knowledge Management System that lets brands load their own guidelines, tone and preferences into the system. Pattern said this structure is intended to let clients retain control over how Pi acts for them.

Agent visibility

Another part of the launch focuses on how brands appear inside AI shopping and search tools. Pi includes GEO and Alexa for Shopping Scorecards, which show how products rank with AI shopping agents and assistants including Amazon's Alexa for Shopping, Walmart Sparky, ChatGPT and Google AI Mode.

Pattern has also introduced a Chrome extension designed to place Pi's insights directly on Amazon product pages during live review sessions. Pi is also available through the ChatGPT app directory, bringing Pattern's marketplace data into AI tools already used by brand teams.

Pattern is positioning Pi as a system that combines automation with brand oversight rather than replacing client decision-making entirely. The approach reflects a wider shift in eCommerce software, as suppliers move beyond analytics dashboards and recommendation engines toward tools that can also carry out operational tasks.

For brands selling on large marketplaces, those tasks can include frequent adjustments to pricing, product content and advertising placements, as well as responses to changes in stock levels or offer eligibility. The pace of those changes has created demand for systems that can act continuously without waiting for manual intervention, while still allowing approval where brand judgment is needed.

Pattern said its platform records every action taken, which could appeal to companies seeking a clear audit trail for marketplace operations. In practice, that means a brand can review what the system changed, when it changed it and where human approval was required.

According to Pattern, the platform is designed to support brand growth across global eCommerce marketplaces using its accumulated operational data and AI models. The company says hundreds of global brands rely on its platform every day to drive profitable revenue growth across more than 70 marketplaces.