Laura Juliano

Artificial intelligence (AI) is rapidly reshaping supply chain operations. From improving demand forecasting and inventory management to increasing operational efficiency, organizations across industries are investing heavily in AI to gain a competitive edge. Yet many companies overlook a critical requirement for AI success: access to trusted, high-quality data shared across the supply chain ecosystem. Supply chains have always relied on collaboration among suppliers, manufacturers, distributors, and retailers. In the AI era, that collaboration must become more intelligent. Organizations need timely, secure data exchange, both upstream and downstream, to provide AI systems with the information required to generate accurate insights and recommendations. When suppliers share real-time information about inventory levels, delivery schedules, and raw material quality, manufacturers can improve planning, reduce risk, and respond more quickly to disruptions. Likewise, when retailers share data about customer demand, inventory positions, and satisfaction levels, manufacturers can better align production and distribution with actual market needs. The result is a leaner, more agile, and more profitable supply chain. Despite these benefits, many organizations are still hesitant to share data. Concerns about security, intellectual property protection, competitive exposure, and integration complexity continue to create barriers. However, these challenges can be addressed through strong data governance, clear…

It’s Monday morning. A shipment of specialized components is headed to an aerospace OEM when your screening workflow flags a potential “denied-party match” on one supplier. Now you’re digging into records, cross-referencing databases, and your carrier is waiting. If the match is false, the shipment stalls anyway, the team burns time on triage, and the customer’s production line waits. The issue with due diligence screening: is how to keep it from grinding your shipping operation to a halt. The problem: compliance steps that slow shipments In global trade, compliance screening is non-negotiable. Denied-party screening, export controls, trade restrictions—regulations have teeth, and they’re tightening in aerospace, defense, high-tech, medical devices, and telecom. But many teams still screen shipments the hard way: manually, ad-hoc, and late in the fulfillment cycle. The friction is predictable, especially when a shipper verifies a partner’s name against screening lists manually. They get false positives: names that match sanctioned entities but aren’t actually them. A supplier named “Chen Technologies” gets flagged because “Chen” appears on an export-control list. Now your team can’t tell quickly whether this is a real hit. Escalations pile up, shipments stop moving, and your compliance team drowns in tickets. Three patterns of an…