As the pace of complexity accelerates, so does accessibility to advanced technologies designed to help supply chain leaders successfully navigate the challenges of today and tomorrow.

As we’ve seen from more consumer facing technologies such as ChatGPT, Artificial Intelligence (AI) and its subset Machine Learning (ML) are revolutionizing the world as we know it, including supply chains. Driven by the convergence of increased data availability, advances in computing technology, and global and interconnected supply chain networks, innovative algorithms are transforming the future of supply chain planning. While there is certainly a lot of hype around these technologies to the point where it can seem daunting, the reality is these advanced technologies are at the core of digital acceleration strategies, fast becoming crucial assets for improving end-to-end supply chain planning efficiencies. Recalibrating the relationship between humans and technology is critical to steer your supply chain in the right direction.

The rate of adoption of AI/ML has seen tremendous growth in the past few years and will continue to accelerate. Recent research by IDC states that 40% of manufacturers will deploy AI-based tools by 2025 to support decision-making and maximize the value of data. This research also anticipates that the increased levels of AI deployment will result in up to 5% improvement in revenue for organizations. 1

Advances in Machine Learning and AI are helping organizations improve the quality and speed of decisions with a higher degree of data-driven automation, enabling supply chain leaders to focus on strategic initiatives that drive growth and better performance. But how are companies actually taking advantage of these technologies to optimize their supply chains?

In this white paper, we explore some key areas where AI and ML are helping solve challenges supply chain leaders like yourself face today.

Discover practical examples of how supply chain teams have quickly applied advanced techniques to improve performance and reduce inventory while increasing service levels, optimizing routes and more.

1 IDC FutureScape: Worldwide Manufacturing 2023 Predictions. October, 2022.