Deep Learning and Supply Chain based Enterprise Strategic Marketing Operation Management System Construction

Authors

  • Xiaoteng Ma YCollege of Information Science and Engineering, Shandong Agricultural University, P.R. China
  • Liufeng Wang Jiaxing Xiuhu School, Jianxing 314000, Zhejiang Province, P.R. China

DOI:

https://doi.org/10.12694/scpe.v26i3.4354

Keywords:

Deep learning, Supply chain management, Corporate strategy, Marketing opera-tions, Business process modeling

Abstract

The present focus of supply chain management is on how to understand customer information, establish customer segmentation, and make corporate resource allocation rational under restricted resources in order to maintain steady development. This paper explores integrating deep learning with supply chain management to enhance strategic marketing operations. It introduces an evaluation index system using a five-dimensional balanced scorecard and proposes a performance evaluation model based on the LMBP algorithm for efficient network weight calculation and training. Empirical testing with T Mobile demonstrates the model’s effectiveness, achieving a 97.29% accuracy rate and over 93% empirical fit accuracy, highlighting its potential for optimizing strategic marketing operations.

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Published

2025-04-01

Issue

Section

Special Issue - High-performance Computing Algorithms for Material Sciences