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.

How can supply chain leaders implement artificial intelligence effectively, ensuring that their investments yield returns while empowering frontline workers?

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.

Many manufacturers are actively increasing investments in software designed theoretically to enhance productivity, work management and collaboration. Yet manual work is on the rise.

Mathieu Linder, corporate vice president of industry strategies in the product management group of Blue Yonder, discusses the current state of artificial intelligence in supply chain management, and how it will evolve and improve in the years to come.

For years, artificial intelligence has been anticipated to be a game-changer for supply chain managers. Now it’s finally beginning to realize its promise. 

AI is the ideal tool to iterate and achieve the highest levels of speed and accuracy in manufacturing.

There have been and will always be threats to the supply chain, and companies will always be managing moment-to-moment changes in the economic environment. 

After the COVID-19 pandemic caused significant industrial demand fluctuations and exposed weaknesses in existing supply chains, distributors have begun to rethink inventory management and supply chain strategies. This guide explores how one of North America’s largest distributors, White Cap, has navigated these challenges by enhancing demand forecasting, centralizing inventory decision-making, and leveraging advanced technology.