An Intelligent ERP Framework for Foundry Inventory Optimization Using Human-Centric AI

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Authors: G. Maria Priscilla, J. Nevil Prabhu
Cited by: 0

Abstract

Abstract Foundry manufacturing environments require continuous synchronization between material availability, production planning, and procurement operations. Conventional inventory control mechanisms and generalized enterprise resource planning (ERP) platforms often lack adaptability to foundry-specific operational constraints such as heat-based traceability, fluctuating material consumption, and delayed replenishment decisions. This paper introduces an intelligent ERP framework tailored for foundry inventory optimization, combining real-time transaction processing, rule- assisted intelligence, automated alerting, conversational system interfaces, and visual analytics. The system employs a modular service-oriented backend architecture and a lightweight web-based frontend to ensure scalability and usability. Human-in-the- loop intelligence is embedded through assisted reorder logic and interactive dashboards, aligning the framework with Industry 5.0 principles. Experimental observations indicate enhanced inventory accuracy, reduced operational latency, and improved managerial responsiveness. Keywords Foundry ERP, Inventory Optimization, Industry 5.0 Systems, Intelligent Decision Support, FastAPI Backend, Conversational Interfaces

Fields of Study & Subjects

ERP Systems Implementation and Impact Impact of AI and Big Data on Business and Society Digital Transformation in Industry

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
03
Pages
1–9
Publication date
11 March 2026
Language
EN