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Reinvent the supply chain today to lead tomorrow

Imagine an Al-driven, self-orchestrating supply chain optimizing costs and efficiency to make operations resilient, drive innovation and quickly deliver new products.

Gen AI in supply chain is foundational for tackling challenges in end-to-end processes utilizing recent tech investments and addressing talent gaps. An autonomous supply chain integrates AI, data and an agentic architecture to optimize costs and drive innovation. It also boosts resilience against disruptions and regulatory impacts, making it essential for modern supply chain management.

What you can do

Utilize AI-driven analytics, generative AI and agentic AI to optimize supply chain processes. This includes automating routine tasks, enhancing decision-making with predictive analytics and using AI agents to manage tasks and optimize processes.

1 in 3

companies are pivoting towards innovating with agentic AI

Ensure that your supply chain systems are equipped with modern data architecture to support interoperability across domains. This involves integrating various data sources to enable real-time adjustments and improve overall efficiency.

17%

productivity increase can be achieved through predictive insights and data-driven resource recommendations

Focus on reskilling and upskilling your workforce to adapt to new technologies and autonomous processes. Encourage collaboration between different departments to ensure a seamless implementation of autonomous supply chain systems.

29%

of working hours across supply chains could be automated by generative AI

Adopting AI and IoT requires adapting workflows, skillsets, and processes to improve efficiency, collaboration, and innovation.

Our leaders

Christopher McDivitt

Autonomous Supply Chain Lead, Global and North America

Jaime R. Lagunas

Autonomous Supply Chain Lead, Global and EMEA