Enterprise software is about to get personal

In 2025, enterprise software experienced a significant transformation driven by a new wave of AI models like Cursor, Claude Code, and Codex, coupled with advanced agentic infrastructure. This convergence enabled developers to shift from manually reviewing AI-generated code to orchestrating AI agent teams that automate substantial portions of the development lifecycle. The critical advancement was not solely in model intelligence but in the maturation of the surrounding infrastructure. The retail sector, however, lags behind in readiness for these changes, facing substantial data challenges. Historically, the 1990s saw the rise of Enterprise Resource Planning (ERP) systems from companies like SAP and Oracle, which aimed to standardize data and processes. While these systems provided a unified platform, their lengthy implementation times, reliance on extensive consulting, and inherent rigidity hindered their ability to adapt to market shifts. The subsequent SaaS explosion in the cloud era democratized software procurement, allowing for rapid deployment of tools. This convenience, however, led to severe fragmentation, with the average enterprise now utilizing between 275 and 342 SaaS applications, a figure that has more than doubled in five years. This proliferation lacks a shared data layer and consistent logic, meaning that even robust cloud data warehouses like Snowflake do not provide actionable insights for business users, such as category managers needing to plan for major retail accounts.