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VOL. 11, ISSUE 12 (2025)
A literature review on factors affecting implementation and automation of inventory management systems
Authors
Rutuja Gaikwad, Dr. Sameer Kul karni, Dr. Bhawna Sharma
Abstract
Inventory management is a critical function in manufacturing and supply
chain operations, directly influencing productivity, cost efficiency, and
overall business performance. With increasing demand for accuracy and real-time
visibility, organizations are gradually shifting from manual inventory
processes to automated systems such as barcode technology, RFID, IoT-based
tracking, and ERP-integrated solutions. However, the successful implementation
of these automated systems depends on several interrelated factors. This
literature review examines existing research to identify the key determinants
that affect the adoption and automation of inventory management systems. The
review is based on scholarly studies published between 2015 and 2024 and
categorizes influencing factors into technological, financial, organizational,
human, and external environmental dimensions. Findings indicate that
technological compatibility, system reliability, and integration capability are
crucial enablers of automation. Financial elements particularly cost of
implementation and perceived return on investment remain significant barriers,
especially for small and medium enterprises. Organizational readiness,
management commitment, and employee training also strongly influence adoption outcomes.
Moreover, external drivers such as vendor support, market competition, and
regulatory requirements play an important role. The review highlights existing
research gaps, particularly limited studies in developing economies and
insufficient analysis of emerging technologies like AI-driven inventory
systems. These insights provide a comprehensive foundation for future research
and practical decision-making in inventory automation.
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Pages:133-136
How to cite this article:
Rutuja Gaikwad, Dr. Sameer Kul karni, Dr. Bhawna Sharma "A literature review on factors affecting implementation and automation of inventory management systems". International Journal of Commerce and Management Research, Vol 11, Issue 12, 2025, Pages 133-136
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