Nell Thomas, VP of Data at Shopify, discusses the rise of agentic commerce where AI agents handle product discovery and purchase decisions, and the critical role of high-quality data infrastructure that powers this shift. She emphasizes that while AI enables faster, more intuitive shopping, data quality, documentation, and human accountability remain paramount for success.
Summarized by Podsumo
Agentic commerce uses AI agents to streamline shopping, from natural language product discovery to checkout, with Shopify focusing on making it easy for merchants to connect to platforms like ChatGPT and Perplexity.
Data quality is a competitive advantage: Shopify rebuilt its data warehouse in 2023, ensuring trusted, well-documented datasets that AI agents can reliably use, with measurement and feedback loops to maintain accuracy.
Humans remain accountable for AI outputs—data teams must stress-test agent work, just as they would human analysis, and shift from answering simple queries to tackling complex strategic problems.
Shopify is leading the Universal Commerce Protocol (UCP) to standardize how AI agents interact with any merchant store, reducing complexity for entrepreneurs.
Nell encourages aspiring data professionals to pursue side projects and curiosity-driven work, citing that she has hired people based on creative analyses of everyday data.
"I think this is where like ultimately humans are still accountable. Because data quality isn't a back-end concern anymore, it's a competitive advantage."
"Finding the item, considering it, evaluating it, and getting to the place where you have trust in the merchant to buy it… that is the hardest part. The buying piece is straightforward."
"I would say the water is warm. Like, do the work. Spend your time getting deep on a problem. Use publicly available datasets. Fall in love with a problem."