Potential Applications of Robotic Process Automation in Supply Chain Operations

  • Unique Paper ID: 165233
  • PageNo: 898-905
  • Abstract:
  • Supply Chain of industries particularly manufacturing industries forms the backbone of their business operations. In this century of digital transformation, supply chain activities of companies require digitization up to a certain level to save cost and time. We see, lack of such digitization refrain industries from their high business improvement potential and companies face challenges either due to human errors, lack of required skill etc... Some of these challenges can be overcome by use of proper technologies. One such technology which can widely help supply chains is Robotic Process Automation (RPA). RPA is used to automate repetitive, rule-based tasks which are done manually. RPA can save employee resources for more strategic activities as it can free employees of repetitive, monotonous tasks. This review paper discusses potential applications of RPA across various supply chain functions such as purchasing, inventory management, planning, transportation. RPA implementation itself faces barriers if industries lack required IT infrastructure, skilled employees, and lack defined operational procedures. The paper also discusses potential barriers to RPA implementation. RPA technology has proved to be reliable in substantial time savings and incorporating it in supply chain functions would greatly impact business in a positive direction.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{165233,
        author = {Itish Garg and Harshit Tandon and Prof. Ramaa A and Prof. NS Narahari},
        title = {Potential Applications of Robotic Process Automation in Supply Chain Operations},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {898-905},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165233},
        abstract = {Supply Chain of industries particularly manufacturing industries forms the backbone of their business operations. In this century of digital transformation, supply chain activities of companies require digitization up to a certain level to save cost and time. We see, lack of such digitization refrain industries from their high business improvement potential and companies face challenges either due to human errors, lack of required skill etc... Some of these challenges can be overcome by use of proper technologies. One such technology which can widely help supply chains is Robotic Process Automation (RPA). RPA is used to automate repetitive, rule-based tasks which are done manually. RPA can save employee resources for more strategic activities as it can free employees of repetitive, monotonous tasks. This review paper discusses potential applications of RPA across various supply chain functions such as purchasing, inventory management, planning, transportation. RPA implementation itself faces barriers if industries lack required IT infrastructure, skilled employees, and lack defined operational procedures. The paper also discusses potential barriers to RPA implementation. RPA technology has proved to be reliable in substantial time savings and incorporating it in supply chain functions would greatly impact business in a positive direction.},
        keywords = {RPA in procurement processes, Digital Readiness, purchasing, inventory management, transportation, forecasting, Order fulfillment, RPA tools, barriers to RPA.},
        month = {},
        }

Cite This Article

Garg, I., & Tandon, H., & A, P. R., & Narahari, P. N. (). Potential Applications of Robotic Process Automation in Supply Chain Operations. International Journal of Innovative Research in Technology (IJIRT), 11(1), 898–905.

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