The Front Warehouse Model of the "Missfresh" E-commerce Company Under the Background of Artificial Intelligence

Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2022-01-11 DOI:10.1145/3512826.3512834

Xudong Wu

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引用次数: 1

Abstract

Abstract: With the development of cutting-edge technologies such as artificial intelligence, Internet of things, big data and cloud computing, the fresh e-commerce and logistics distribution industry will usher in a comprehensive intelligent era. The fresh e-commerce market based on the Internet has developed unprecedentedly. Facing the pain points of easy loss of fresh products, low degree of standardization and fierce competition, the "Missfresh" company adopts the innovative logistics mode of front warehouse. It uses artificial intelligence technology to carry out big data analysis in combination with customer demand, consumption habits and transportation line conditions, which is helpful to rationalize the location of front warehouse and improve efficiency. Through the SWOT method, this paper analyzes the mode of front warehouse. Then carry out quantitative analysis through analytic hierarchy process. Finally, it puts forward the countermeasures to optimize the front warehouse mode.

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人工智能背景下“Missfresh”电子商务公司前端仓库模型

摘要:随着人工智能、物联网、大数据、云计算等前沿技术的发展，生鲜电商及物流配送行业将迎来全面智能化时代。基于互联网的生鲜电子商务市场得到了前所未有的发展。面对生鲜产品易流失、标准化程度低、竞争激烈的痛点，“Missfresh”公司采用前端仓的创新物流模式。利用人工智能技术，结合客户需求、消费习惯、运输线路状况，进行大数据分析，有助于合理化前置仓选址，提高效率。本文通过SWOT分析方法，对前置仓库模式进行了分析。然后通过层次分析法进行定量分析。最后，提出了优化前仓模式的对策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering

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