Implementing Autonomous Retail Analytics represents one of the most significant operational transformations an e-commerce organization can undertake. Unlike traditional business intelligence initiatives that enhance existing workflows, autonomous analytics fundamentally reimagines how decisions get made—shifting from human-initiated analysis to system-driven insight generation and action execution. The complexity spans technical architecture, data governance, organizational change, and business process redesign. After guiding multiple implementations across various retail contexts, I've developed a comprehensive checklist that addresses the full scope of what's required for successful deployment. This isn't a linear sequence—many elements proceed in parallel—but each item represents a critical success factor that cannot be skipped or shortchanged without risking implementation failure. The checklist that follows reflects hard-won lessons from both successes and setbacks. It...