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

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Xiaoteng Ma
Liufeng Wang

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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Section
Special Issue - High-performance Computing Algorithms for Material Sciences