Intelligent Product Lifecycle Orchestration: Predictive Analytics and Decision Automation in Retail Category Management

Authors

  • Fumihiko Matsuno Associate Professor of Mechanical Engineering, Nagoya Institute of Technology

Keywords:

intelligent product lifecycle orchestration, predictive analytics, decision automation, machine learning

Abstract

Introduction Retail Product Lifecycle Management (RPLCM) encompasses a collection of plant and corporate processes related to how a company brings a new product to market, decides on discontinuing a product, develops a new generation version of a product, and covers a variety of other product-related issues.

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Published

30-06-2025

How to Cite

[1]
“Intelligent Product Lifecycle Orchestration: Predictive Analytics and Decision Automation in Retail Category Management”, Adv. in Deep Learning Techniques, vol. 5, no. 1, pp. 33–44, Jun. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://www.thesciencebrigade.com/adlt/article/view/770