Digital Supply Chains: Bridging The Gap Between Vision And Reality

Full Article
Digital Supply Chains: Bridging The Gap Between Vision And Reality

The evolution of digital supply chains has transformed from a futuristic concept to a practical reality over the past decade. A recent study by SAP and Khne Logistics University highlights the advancements in digital technologies and their impact on supply chain management. While initial enthusiasm focused on emerging technologies, the current emphasis is on addressing specific business challenges with measurable returns on investment.

Key application areas for digital transformation include advanced analytics, integrated planning, customer experience enhancement, and automation of operations. Companies are leveraging AI and machine learning to improve forecasting and operational visibility, while digital platforms facilitate agile supply chain management. The study underscores the importance of strong management commitment and effective change management processes to overcome barriers and ensure successful digital initiatives.

• Digital supply chains have evolved significantly from 2014 to 2024.

• AI and machine learning are crucial for improving supply chain forecasting.

Key AI Terms Mentioned in this Article

Digital Supply Chain

The term now encompasses not just technology implementation but also foundational aspects like process standardization and data management.

Machine Learning

Companies are using machine learning to analyze economic indicators for better demand forecasting.

Robotic Process Automation (RPA)

RPA is being adopted to improve efficiency and address talent shortages in supply chain operations.

Companies Mentioned in this Article

SAP

SAP's studies provide insights into the evolution and impact of digital technologies in supply chains.

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