Looking at Benefits of SCM Digitalization, it has become critical
to look how to leverage innovative technologies that have the
potential to disrupt supply chain operating models that provide
a competitive advantage.
It’s a framework to combine a comprehensive offering of technologies in the best possible way, such as historic legacy platforms with recently deployed tools and planned investments. This means different things for different organizations so it’s important that supply chain leaders find their individual definition. If deployed correctly, hyper automation can encourage broader collaboration across domains and act as an integrator for disparate and siloed functions.
Digital supply chain twin
It’s a digital representation of the physical supply chain and is derived from all relevant data across the supply chain and its operating environment. This forms the basis for all local and end-to-end decision-making. “DSCTs are part of the digital theme that describes an ever-increasing merger of the digital and physical worlds
It is one of the biggest opportunities for supply chain leaders to accelerate their organization’s digital transformation. It takes a computer’s ability to process data at a much faster rate than people can. Supply chain leaders can look at the processed data to understand what is happening and take immediate action.
Supply chain governance and security
It is an increasingly important macro trend, as global risk events rise and security breaches impact companies on a digital and physical level. “Gartner anticipates a wave of new solutions to emerge for supply chain security and governance, especially in the fields of privacy as well as cyber and data security
Edge computing and analytics
The rise of edge computing, where data is processed and analyzed close to its collection point, coincides with the acceleration of Internet of Things (IoT) devices. It is the technology needed when there is a demand for low-latency processing and real-time, automated decision-making. Edge computing is currently making its way in the manufacturing space. For example, there are some companies that have leveraged driverless forklifts for their warehouses and some heavy equipment sellers that can use edge computing to analyze when a part needs maintenance or replacement.
AI in supply chain makes up a toolbox of technology options that allow companies to understand complex content, engage in natural dialogue with people, enhance human performance and take over routine tasks. AI currently helps supply chain leaders solve long-standing challenges around data silos and governance. Its capabilities enable more visibility and integration across networks of stakeholders that were previously remote or disparate.