need to have the right day-to-day integration for information and management processes . We have robotics process optimization , which works by analyzing data and figuring out ways to make processes more automated or efficient . In addition , we have seen an average of around 16 hours per day saved by automating tasks such as processing consignment notes . Part of that is algorithm-based optimization , which means using algorithms to help identify potential areas of improvement . In this sense , then , that technology represents a second layer of digitalization : the day-to-day management layer .”
Finally , there is the strategic layer . Beyond physical infrastructure and day-to-day management , this layer is all about strategic insights , and predicting what will happen in the future by assessing how different scenarios might affect the digital supply chain . “ It ’ s estimated that the predictive analytics market will be worth 12.41 billion dollars in 2022 , up from 4.56 billion in 2017 . Fortunately , we can run through solutions to any nascent problems . Let ’ s say that there was a disruption in a certain supply chain . We can then see what might happen if we took a shipment and re-routed it to another geography or network . By running this at the strategic insights level , we can assess viability , impacts on costs , and how it might affect transit times . Working on advanced analytics and digital twin supply chains makes for a much more dynamic model of logistics . It becomes more focused on real-time , and can therefore be deployed more regularly rather than once every quarter .”
An example of this can be seen in recent work with a leading airline on its abovethe-wing business . “ For this company , we were able to achieve significant benefits by designing logistics solutions based on a digital twin . The supply chain in question is quite complex and truly global ; there are 250 international stock sites , and over 1000 Stock Keeping Units ( SKUs ), so the project categories that we had to monitor were vast . However , with our digital twin solution , we could ascertain the best stock location , where to put inventory , and how much stock should be in any one place – all while considering the various needs of the business and its partners .
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