AI Decision Support in Logistics for Faster Responses to Operational Disruptions
Operational disruptions in logistics rarely fail because data is unavailable; they fail because decisions arrive too late, in the wrong context, or without coordinated execution. This article explains how enterprise leaders can use AI decision support, AI-powered ERP, predictive analytics, enterprise search, and workflow orchestration to shorten response cycles, improve resilience, and govern risk across logistics operations.