Contributed by Robling
Gartner predicts that through 2026, organizations will abandon 60% of AI projects that aren’t backed by AI-ready data. These projects don’t fail because the models are weak. They fail because the data underneath them was never ready.
Retail feels this harder than most. Its data sits in a series of disconnected silos, all with their own formats, item codes, and reporting schedules. Point AI at that and you get fast, confident answers you can’t trust.
Jeff Buck, CEO of Robling, has spent 25 years solving this exact problem for specialty retail. There, he crafted the go-to data foundation that makes business intelligence work. Now he has brought that same expertise to the single most important ingredient for making AI work: Robling’s retail AI semantic layer, the shared language that lets AI make sense of retail data.
Sell-Thru.AI, Robling’s agentic application, is the intelligence layer that sits on top, putting the latest models to work to give you instant, actionable insights.
About Robling
Robling helps retailers unite data across silos and unlock insights that generate millions in new revenue, increased margins and enhanced productivity across the enterprise. Customers like Belk, Hot Topic and Accent Decor use Robling to put data and analytics at the fingertips of everyone who needs it, from data scientists to retail executives, using any BI or analytics front-end tools they prefer. Unlike typical data warehousing approaches, Robling’s Data-as-a-Service (DaaS) is a product, not an endless project. Robling’s fully cloud-based analytics foundation — featuring connectors to common retail systems — rapidly delivers on retailers’ most valuable and pressing analytic use cases, all backed by the company’s software and its unique blend of retail, technical and analytics expertise.
To learn more, visit robling.io.
