In today’s economic landscape, uncertainty across the supply chain is inevitable, whether due to the effects of climate change, demand and supply variability, or global unrest. To keep up, supply chain leaders need to continuously make good decisions quickly that consider the ever-changing circumstances, emerging opportunities and disruptions to improve how responsive and adaptable they can be.

As manufacturers strive to maintain high standards of quality and service, the intricacies of handling repairs can become a bottleneck, leading to delays, increased costs and customer dissatisfaction.

Embracing end-to-end, full stack IoT technology is pivotal for the future of supply chain and logistics management.

Successfully orchestrating a supply chain is both the most significant challenge and the biggest opportunity facing today’s supply chains.

Pushing employees to get on board with a "data-driven" approach without making sure they have the skills they need is likely to cause harm at some point.

With the rise of AI-driven approaches like decision intelligence, companies can invest in the necessary tools not only to keep up, but to thrive in an increasingly complex economy. 

An accelerated and autonomous supply chain adapts and reacts by providing visibility across systems, streamlining workflows, eliminating silos, and enabling autonomous disruption management.  

AI & ML technology integrations provide broad advantages for supply chain management. 

The progress of supply chains in adopting AI varies widely. So does the return on investment. But according to one recent study, there’s one strategy that guarantees failure: doing nothing.

Proactive intelligence enables you to balance the fine line between cost and resilience, says Brandon Daniels, chief executive officer of Exiger.