Decile has launched Luma, a conversational AI analyst designed specifically for ecommerce brands to transform complex data into clear, actionable insights. The platform allows teams to understand performance, uncover opportunities, and act faster by interpreting results, identifying causes, and recommending next steps through plain language inquiries.
Unlike traditional dashboards and static reports, Luma delivers the reasoning behind performance shifts by connecting data points into coherent narratives that drive smarter decisions. Built on Decile's proprietary ecommerce data model, the AI analyst is purpose-built for how brands sell, market, and retain customers, generating brand-specific, multi-step analyses of real-time data in seconds—a task that typically requires human teams days or weeks to complete.
"Brands have a plethora of data and platform tools to navigate, but the data is still very disconnected and it's hard to get clear and actionable answers when you need them," said Cary Lawrence, CEO of Decile. "We built our AI Analyst 'Luma' on a strong data foundation that draws on years of ecommerce expertise to power its models. Luma cuts through the noise and allows teams across the organization to access insights using plain language."
Early users in a private preview have reported immediate value, particularly for marketing channel owners without dedicated data analysts. One fashion and apparel brand noted that they previously avoided analysis due to time constraints but now benefit from Luma's rapid insights. The platform addresses a growing challenge for marketers who must manage increasing volumes of data across disparate tools and integrations, where performance insights often remain fragmented and lack flexibility for unique brand definitions.
Luma consolidates data into a unified environment that combines elements of a customer data platform, analytics engine, and built-in AI analyst. This integration enables teams to move from data to decisions in one step, bringing clarity to complex multi-step questions. Every result includes visible reasoning and data context to build confidence in answers, replacing scattered dashboards with direct, conversational analysis that requires no manual reporting or data stitching. Learn more about how Luma AI works at https://decile.com/features/luma-ai/.
The introduction of Luma represents a significant shift in how ecommerce businesses leverage data. By automating complex analysis that traditionally required specialized data teams, the platform democratizes access to insights across marketing, sales, and customer retention functions. This capability is particularly impactful for mid-sized brands and marketing teams operating without extensive data science resources, potentially leveling the competitive playing field against larger enterprises with dedicated analytics departments.
For business leaders, the implications extend beyond operational efficiency to strategic advantage. The ability to generate multi-step analyses in seconds rather than weeks enables faster response to market changes, more agile campaign optimization, and quicker identification of emerging customer trends. As ecommerce continues to generate increasingly complex data across multiple touchpoints, AI-powered tools like Luma that provide unified, conversational access to insights will likely become essential infrastructure for competitive brands seeking to maximize return on their data investments.
