The adoption of Artificial Intelligence and Machine Learning accelerated with the infusion of multiple streams of adjacent technologies and availability of vast troves of data that all have become part of an AI solution.
The scope of solutions in supply chain today span consumer and shopper analytics; neural networks and deep learning for discovering patterns in big data to optimize our supply chains, from product design through service; continuous planning and autonomous execution of business processes; and smarter robotics in the warehouse and autonomous vehicles in transportation and more.
These applications require digitalization of our business processes, a greater use of B2B communications and supply chain networks with our business partners and customers, a new generation of technology, and a refocusing of IT and the business on data management.
Most of all, with the expansion and rethinking of the supply chain organization, the supply chain professional should now be seen as a Supply Chain Scientist.
To learn more about how ChainLink Research can help you with Artificial Intelligence for Supply Chain, please contact us via email or call us.
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Data Science––AI/Machine Learning Definitions for the Supply Chain Practitioner: