Supply chain organizations often have valuable data spread across ERP, WMS, TMS, finance and other systems, making it difficult to turn that information into timely, actionable decisions. This session will explore how organizations can turn messy, siloed supply chain data into profitable action by building targeted AI decision interventions. Ankor Roi, CEO of Straive, and Luis Teixeira, Senior Director of Global Transportation Operations at Johnson & Johnson will share how these focused applications can work with existing ERP, WMS, TMS and finance systems to connect disparate data, incorporate subject-matter expertise and business rules, and help teams test scenarios, understand exceptions and make more informed decisions — without requiring a multi-year system overhaul.