Companies will need to implement powerful governance frameworks, invest in training, and ensure transparency in AI-driven processes.

Industry adviser Bart De Muynck details the results of a new survey on supply chain resilience in times of uncertainty, conducted by SupplyChainBrain in collaboration with Seagull Software.

Demand-sensing is important, and is much improved by AI. But pricing and inventory modeling are important too.

A case study about implementing a new inventory-reduction solution, with Allan Jaenicke, vice president of strategy and operational excellence with Waters Corp., and Carrie Brown, transformation evangelist with Celonis.

To achieve digital transformation, supply chains must look beyond traditional methods to new technologies that can streamline operations, reduce costs and enhance customer satisfaction.

AI agentic orchestration is one to watch, where AI agents have sufficient autonomy to execute business decisions, like a human assistant.

Analog and manual processes won’t suffice today, and organizations must adopt advanced technologies to effectively monitor and manage assets and inventory as they travel across borders.

Threats to supply chain security are everywhere these days. But the best weapon for dealing with them consists of data that’s readily at hand.

Supply chain leaders interested in implementing AI agents should start with clearly defined, limited-scope projects addressing specific pain points.

As extreme weather events become more frequent and more disruptive, weather intelligence has become a strategic asset for logistics companies.