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Artificial Intelligence and Supply Chain

Learning about the machines needed to make machines learn

In these time with many countries on lockdown the international system of back and forth still goes on. Artificial intelligence is increasingly being used in this area of society too.

“…allows industries to track their operations, enhance supply chain management productivity, augment business strategies, and engage with customers in the digital world.”

There is a widening implementation of computer vision and rising demand for AI-based business automation solutions. There is an evolving supply chain automation.

  • Technology (machine learning, computer vision, natural language processing, cognitive computing, and context-aware computing)
  • Application (supply chain planning, warehouse management, fleet management, virtual assistant, risk management, inventory management, and planning & logistics)
  • End-user (manufacturing, food and beverages, healthcare, automotive, aerospace, retail, and consumer-packaged goods)
  • Geography
  1. Ability of AI solutions to efficiently handle and analyze big data and quickly scan, parse, and react to anomalies.
  • Europe.
  • Asia Pacific.
  • Latin America.
  • Middle East.
  • Africa.

“In 2019, North America commanded the largest share of the global artificial intelligence in supply chain market, followed by Europe and Asia Pacific.”

The factors such as growing proliferation of the Internet of Things (IoT). The Asian Pacific region is registering faster growth in the overall artificial intelligence in supply chain market.

  •, Inc. (U.S.).
  • Google LLC (U.S.).
  • Microsoft Corporation (U.S.).
  • Nvidia Corporation (U.S.).
  • Oracle Corporation (U.S.).
  • IBM Corporation (U.S.).
  • Samsung (South Korea).
  • LLamasoft Inc. (U.S.).
  • SAP (Germany).
  • General Electric (U.S.).
  • Deutsche Post AG DHL (Germany).
  • Xilinx (U.S.).
  • Micron Technology, Inc. (U.S.).
  • FedEx (U.S.).
  • ClearMetal, Inc. (U.S.)

“The global artificial intelligence in supply chain market is expected to grow at a CAGR of 45.3% from 2019 to reach $21.8 billion by 2027; wherein, Asia-Pacific region is expected to register fastest CAGR throughout the forecast period.”

Whether this will be the case is hard to know — it is after all a prediction.

Written by

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.

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