Mainframe in retail: Inventory management and supply chain optimization

Vippala, Chandrasekhara Reddy (2025) Mainframe in retail: Inventory management and supply chain optimization. Global Journal of Engineering and Technology Advances, 23 (1). pp. 258-265. ISSN 2582-5003

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.