Pattern AI ecommerce growth strategy accompanies record second-quarter revenue

Pattern AI ecommerce growth efforts were paired with a new marketplace-management product and record reported second-quarter revenue. Pattern said it launched Pattern Intelligence, or Pi, during the quarter and generated $877 million of revenue, up 47% from a year earlier.

The eCommerce accelerator said Pi is an artificial-intelligence engine intended to automate marketplace management for global brands. The company reported international revenue of $110 million, an 87% year-on-year increase, while revenue not attributable to Amazon reached $82 million, up 93%.

Those operating and financial measures were reported alongside Pattern's AI strategy, rather than as evidence that AI caused the growth. Pattern said its platform serves hundreds of brands across more than 70 global marketplaces.

How is Pattern using AI and ecommerce data?

On its second-quarter earnings call, co-founder and chief executive Dave Wright said Pattern uses its data set for A/B tests, including tests of which messages are most effective for aggregate groups of five to 10 personas. Pattern says it combines data, machine learning and AI models to optimize or automate advertising, content management, logistics and fulfilment, pricing, forecasting and customer service.

An analyst on the call cited a 38% year-to-date increase in Pattern's data points, to 91 trillion. That percentage implies a prior base of about 66 trillion data points, based on dividing 91 trillion by 1.38. The approximately 66 trillion figure is a calculation, not a number reported by Pattern.

Wright described a feedback loop in which data helps the company deliver results for brands, attracting more brands and therefore more data. The company did not provide independent evidence during the call that this process, or the use of AI, was the cause of its reported revenue growth.

What does Pattern's 129% net revenue retention measure?

Pattern defines net revenue retention, or NRR, as the total revenue attributable to existing brand partners in the current trailing 12-month period compared with that of the preceding trailing 12 months. Its second-quarter NRR was 129%, compared with 118% a year earlier, according to the company's presentation. Wright called the result a record high.

The measure is central to Pattern's account of its partner relationships because it compares revenue attributed to existing brands over consecutive 12-month periods. It does not, on the evidence available, establish a causal link between Pi or other AI tools and the NRR result.

Separately, an AWS case study says Pattern uses Amazon Bedrock and Amazon Nova foundation models in its Content Brief tool. AWS says the tool can examine keywords, search terms, product images and customer reviews, illustrating one application of the company's data-led approach. The case study's performance figures are AWS case-study claims and do not independently verify Pattern's overall financial results.

This story draws on original reporting from PYMNTS.