Mainframe in retail: Inventory management and supply chain optimization

Mainframe systems remain essential in contemporary retail operations, providing robust infrastructure for inventory management and supply chain optimization. This technical article explores how these legacy systems continue to deliver exceptional computational power for real-time inventory tracking, transaction processing, and automated purchasing decisions across enterprise-scale retail environments. It examines mainframe functionality in demand forecasting, where historical sales data informs stock optimization through seasonal trend analysis and algorithmic modeling. The exploration extends to supply chain coordination, highlighting mainframe capabilities in vendor management, logistics optimization, and order fulfillment. Additionally, the article addresses how mainframes integrate with modern technologies including cloud computing, artificial intelligence, IoT devices, APIs, and edge computing, creating hybrid architectures that combine traditional reliability with contemporary innovation capabilities.

Authors

Publication Details

Journal
Global Journal of Engineering and Technology Advances
Published
2025-04-24
DOI
https://doi.org/10.30574/gjeta.2025.23.1.0114
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Mainframe in retail: Inventory management and supply chain optimization

Chandrasekhara Reddy Vippala
Global Journal of Engineering and Technology Advances
Advanced Manufacturing and Logistics Optimization
article

Mainframe in retail: Inventory management and supply chain optimization

Chandrasekhara Reddy Vippala
article en

Abstract

Mainframe systems remain essential in contemporary retail operations, providing robust infrastructure for inventory management and supply chain optimization. This technical article explores how these legacy systems continue to deliver exceptional computational power for real-time inventory tracking, transaction processing, and automated purchasing decisions across enterprise-scale retail environments. It examines mainframe functionality in demand forecasting, where historical sales data informs stock optimization through seasonal trend analysis and algorithmic modeling. The exploration extends to supply chain coordination, highlighting mainframe capabilities in vendor management, logistics optimization, and order fulfillment. Additionally, the article addresses how mainframes integrate with modern technologies including cloud computing, artificial intelligence, IoT devices, APIs, and edge computing, creating hybrid architectures that combine traditional reliability with contemporary innovation capabilities.

Global Journal of Engineering and Technology AdvancesVol. 23(1)
Openalex Percentile: Top 89%
Advanced Manufacturing and Logistics Optimization
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Mainframe in retail: Inventory management and supply chain optimization — Chandrasekhara Reddy Vippala · Global Journal of Engineering and Technology Advances (2025) | TGRS Research Map | TGRS