Potential Use-Cases of Natural Language Processing for a Logistics Organization

Part of the Studies in Computational Intelligence book series (SCI, volume 956)


All industries like Healthcare and Medicine, Education, Marketing, e-commerce are using AI and providing a technical advantage to these industries. Logistics is such an industry where AI has started showing its effect by making SCM a more seamless process. Processing natural language has always been a computer science and AI subfield, which covers interactions between computer and human language. The existing literature review lacks in representing the recent developments and challenges of NLP to maintain a competitive edge in the field of logistics. Literature Survey also shows that many of us are curious about knowing the various scopes of implementing NLP in Logistics. This article aims to answer the question by exploring the use-cases, challenges, and approaches of NLP in logistics. This study is of corresponding interest to researchers and practitioners. The study demonstrates a deeper understanding of logistics tasks similarly by implementing NLP approaches.


Logistics Artificial intelligence Natural language processing (NLP) NLP in logistics Deep learning Word embedding 



The author thanks, Akshay Ghodake for valuable discussion on Natural Language Processing and Logistics in general. This research is supported by ATA Freight Line Pvt. Ltd. Research Fellowship.

Conflicts of Interest

Arvind W. Kiwelekary and Laxman D. Netak declares that they have no conflict of interest. Rachit Garg has received research grants from ATA Freight Line India Pvt. Ltd. Swapnil S. Bhate owns a position of Innovation Associate in CATI department of ATA Freight Line India Pvt. Ltd.


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Authors and Affiliations

  1. 1.Dr. Babasaheb Ambedkar Technological UniversityLonereIndia
  2. 2.ATA Freight Line India Pvt. Ltd.PuneIndia

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