Executive Summary
To survive structural margin compression, retail leaders must move beyond fragmented AI pilots toward a unified data-AI platform and operating model that enables enterprise-wide scalability.
Bagua Insight
▶ The Death of Technical Debt: The bottleneck in retail AI isn't the model performance; it's the fragmentation of data silos. A unified platform is not just a tech stack choice—it is an organizational imperative.
▶ Paradigm Shift in Operations: Scaling AI requires shifting from IT-led experimentation to a "Data-as-a-Product" mindset, embedding intelligence directly into supply chain, inventory management, and hyper-personalization workflows.
Actionable Advice
Establish a cross-functional Data & AI Center of Excellence (CoE) to ensure business outcomes are tightly coupled with your architectural foundation (e.g., Lakehouse).
Prioritize high-ROI use cases like dynamic pricing or supply chain optimization as a "lighthouse project" to build the template for horizontal scalability across the organization.
SOURCE: DATABRICKS (DATA-AI) // UPLINK_STABLE