You’ve heard so much about the need for an “intelligent” supply chain. And how it can provide your business the much-required agility and resilience, especially during disruptions.
But what really makes a supply chain intelligent? More importantly, how do you build one?
On the supply side of the equation, data is coming from partners’ ERP systems as well as Internet of Things (IoT) sensors on manufacturing equipment and in-vehicle GPS systems. Organizations are also tapping into new sources of information such as weather reports and news about labor unrest; raw materials shortages; and, nowadays, countries’ gradual “reopening” schedules and activities.
Managing all this big data involves tackling “four Vs”:
By definition, the cognitive supply network depends heavily on predictive analytics, AI, and machine learning to speed, inform, and automate SCM operations.
These compute- and data-intensive technologies will function within a cloud-based infrastructure, giving companies the scalability, storage, and computational power they need without investment in on-premises infrastructure and skill sets. In addition, cloud-based services can help manage the “four Vs” of data to make sense of that data, gain visibility and control across their supply chains, and perform a wide range of other critical functions.
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