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      Computer vision for supply chain management optimization

      Preprint
      In review
      research-article
        1 ,
      ScienceOpen Preprints
      ScienceOpen
      logistics, asset, warehousing, administration
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            Abstract

            The introduction of computer vision in the field of supply chain management has been of great importance in the field of warehouse management. The process through which an appropriate supply chain is executed has evolved from manual labour force up to the introduction of technology in the same field which has led to innovation in processes like, administration and logistics. This research contains a vivid description of computer vision in supply chain management. The initial introduction depicts more about the specific contents of both supply chain management as well as computer vision. While followed by the introduction, the next segment describes how computer vision in supply chain management has been of great input and the probable positive changes, which have been inculcated, since the introduction of computer vision in supply chain management. In the specific field of warehousing and accurate planning the role of computer vision has been commendable. The research also mentions the working mechanism of computer vision in the process of supply chain management. This is followed by how efficiently the management is controlled with the help of computer vision and a proper conclusion that depicts computer vision to be a blessing in disguise for organizations who want to declutter and make their supply chain management all the more effective.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            10 February 2022
            Affiliations
            [1 ] SUNY Binghamton
            Author notes
            Author information
            https://orcid.org/0000-0001-7887-6641
            Article
            10.14293/S2199-1006.1.SOR-.PPSFK67.v1
            7cd5fde7-a46a-40f3-b893-790313e1ff65

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 10 February 2022

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Social & Behavioral Sciences
            logistics,asset,warehousing,administration

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