Machine learning has the power to improve demand predictions and change the fundamental relationship between logistics providers and their data.
Digitization vs. Digitalizaton vs. Digital Transformation: what's the difference, and what does it mean for the automotive supply chain?
Centralized vs. decentralized supply chain management: what are the pros and cons of each?
Supply chain integration can be a major source of added value for manufacturers. But how do you make sure that you're optimizing your integration process?
What is lean manufacturing, and how is it different from agile manufacturing?
Learn how S&OE can empower smarter inventory management, improved transport planning, bolstered visibility, and reduced manufacturing costs.
Industry 4.0 will obviously have a huge impact on automotive manufacturing, but what about Logistics 4.0?
Machine learning has the power to change supply chain management in numerous ways. How? By changing the way that businesses handle demand forecasts and capacity planning.
Outbound logistics involves both inventory management and transport planning, both of which are historically difficult to optimize. How can Industry 4.0 help?
