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A data analytic-based logistics modelling framework for E-commerce enterprise
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AI
DOI：10.1080/17517575.2022.2028195.png)
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摘要
En 中文
Data-driven approaches have noteworthy significance in managing and improving logistics in E-commerce enterprises. This study focuses on the development of an integrated framework to analyse the Brazilian E-Commerce enterprise public dataset. From the analysis, it is found that sellers of Ibitinga city of SP state had the most count of late deliveries where 42 sellers are under-performing in terms of estimated delivery time. Locations of customers and sellers were spotted on a map to get a geographical representation. The proposed framework may help E-Commerce enterprise owners and retail merchants to make better decisions related to sales and E-Commerce enterprise logistics.
Keyword:
E-commerce
data analytics
machine learning
supply chain
facility location
forecasting
期刊
IF:
3.9
论文数:
2.8K
被引数:
1.8K
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