As we continue to work through the coronavirus pandemic, things remain far from normal for the supply chain. Learn about today's top logistics challenges.
Accepting and adapting to change can be difficult for people. Managing the people side of change in parallel to technology implementation is critical to success.
Smart procurement blends strategies with modern technologies like AI, RPA and data analytics to simplify operations, identify opportunities and mitigate risk.
Autonomous planning draws on a wealth of internal and external data to enable action-oriented planning processes that automate critical decision-making.
Data is the key to unlocking supply chain visibility. But disparate systems and data silos cause roadblocks. How can siloing be resolved so visibility can be achieved?
Cognitive technologies revolutionize manufacturing, with applications across product quality, asset performance, and resource and supply chain optimization.
Digital twins leveraged in digital logistics applications arm businesses with the ability to anticipate disruptions and develop strategies to handle them.