Succeeding in the AI supply-chain revolution.
By Alicke, K., Dilda, V., Görner, S., Mori, L., Rebuffel, P., Reiter, S., & Samek, R.
Alicke, K., Dilda, V., Görner, S., Mori, L., Rebuffel, P., Reiter, S., & Samek, R. (2021, April). Succeeding in the AI supply-chain revolution. McKinsey & Company. https://www.mckinsey.com/~/media/mckinsey/industries/metals%20and%20mining/our%20insights/succeeding%20in%20the%20ai%20supply%20chain%20revolution/succeeding-in-the-ai-supply-chain-revolution.pdf
This report from McKinsey & Company examines the strategic transition required for organizations to move from localized Artificial Intelligence pilots to enterprise-wide supply chain transformations. The authors argue that while many firms experiment with Artificial Intelligence, few successfully scale these initiatives to achieve significant return on investment. The text highlights three critical pillars for success: high-quality data architecture, robust technical infrastructure, and, most importantly, organizational change management. By focusing on the human element and ensuring that employees are empowered to work alongside automated systems, companies can overcome the cultural resistance that often stalls digital adoption. The report provides a roadmap for executives to align their technological investments with broader business objectives, emphasizing that Artificial Intelligence should be viewed as a core business driver rather than a peripheral IT project. This resource is essential for understanding the operational complexities of modern logistics and manufacturing in an increasingly automated global economy.