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Enterprise AI Architecture for Logistics Process Standardization and Predictive Visibility

Enterprise AI architecture gives logistics leaders a practical way to standardize fragmented processes, improve predictive visibility, and scale decision-making across ERP, TMS, WMS, and partner ecosystems. This guide explains the business case, target architecture, governance model, implementation roadmap, and executive decision criteria required to turn AI from isolated pilots into an operational capability.