improve over time as machine learning helps to perfect courses of action to avoid the negative consequences of supply chain deviations , eventually enabling an autonomous supply chain function ,” Overdulve explains . “ ERPs tend to be set up in a customised manner , creating hundreds of reports to manage execution , still transactional in nature , with supply chain professionals needing to plough their way through them in order to gain insights . By the time the insight , let alone the remediation action to be undertaken , is found you ’ re most likely too late and the negative effect of the disruption has already happened .”
Overdulve believes in platform technologies that combine crawler technology – extracting and indexing large supply chain data sets to build your company ’ s supply network “ memory ” – and the power of AI – breaking silos in favour of the best supply chain response to exceptions – to augment the supply chain workforce of the future . “ Let ’ s take the robot out of the human and allow supply chain professionals to focus on value-adding activities ,” he says . “ It ’ s the reason I ’ m working alongside
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