Research on the Optimization Strategy of HAVI Group’s Operation Model

Junhe Li

doi:10.54097/ahp3j960

Authors

Junhe Li

DOI:

https://doi.org/10.54097/ahp3j960

Keywords:

Supply Chain Management, Big Data Model, Logistics path planning

Abstract

With the development of market globalization and digitization, supply chain management become more and more important for the success of a company. HAVI Group, McDonald's main logistics supplier in China, focuses on cold chain logistics and temperature-controlled delivery services. With the development of digital technology, the traditional logistics operation model faces the opportunity of transformation and upgrading. This paper aims to explore how to use digital technology to optimize the operation model of HAVI Group to improve efficiency and reduce costs. Through case studies and data analysis, this paper identifies the key optimization points in HAVI Group's operation model and proposes a series of innovative optimization strategies. The results show that by use big data models for logistics path planning, inventory management, and customer service improvements, HAVI Group can significantly improve its operational efficiency and customer satisfaction. This study provides valuable optimization strategies and suggestions for HAVI Group and the entire logistics industry.

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