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JDA leverages AI and machine learning optimisation in its supply chain

Eric Thorsen, GVP Technology Presales, Field CTO at JDA Software, discusses the influence of artificial intelligence and machine learning on his company’s operations and the wider supply chain. By Sean Galea-Pace.

JDA provides a more autonomous supply chain for 4,000 of the biggest companies globally. Eric Thorsen, GVP Technology Presales, Field CTO at JDA Software, believes the speed at which the supply chain industry is leveraging new technology, such as AI and machine learning (ML), has been extremely rapid. “The effect that ML and AI is having is amazing. Although they’re both relatively new in the industry, their power is growing so fast,” he enthuses. “We’re proud to be driving innovation and pushing that trend forward.” 

With digital transformation significantly shaking up the supply chain industry in ways never seen before, all companies in the sector are undergoing reviews into how technology can be positively embraced and utilised. In the case of JDA, its supply chain platform centres around navigating complicated, end-to-end supply chain challenges by leveraging the power of AI and ML optimisation. “The goal of an autonomous supply chain is to be self-tuning, self-learning and self-managing. What this allows us to do as administrators and participants is to manage by exception,” says Thorsen.

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