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Research On Fresh Food E-commerce Warehousing Distribution Strategy Based On Data Mining

Posted on:2022-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:H SheFull Text:PDF
GTID:2518306338485714Subject:Logistics Engineering
Abstract/Summary:PDF Full Text Request
With the upgrading of national consumption,the potential of the trillion-dollar fresh food market has become more and more apparent.It is known as the last blue ocean of e-commerce.However,compared with the bright market prospects,my country's fresh food e-commerce industry is still in the exploratory stage.Fresh food warehousing strategies are still immature,causing most e-commerce companies to end up at a loss and miss out on the market.Based on this current situation,this article uses data mining technology to construct a set of warehousing strategy problem mining solutions based on the negative information of fresh food e-commerce,which is used for the shortcomings and deficiencies of various warehousing strategies in the fresh e-commerce industry for graduate students.Fresh e-commerce companies fully recognize their own shortcomings,avoid disadvantages,improve strategies,and develop healthily.This paper focuses on the intensification of document set knowledge,condenses and extracts the relevant knowledge reflecting the warehousing strategy problems in the massive text,and analyzes the problems of each warehousing strategy based on the results of data mining.The main steps are as follows:1)Data discovery process.Through data cleaning,text feature generation,text feature selection and other steps,the redundant data with no information content and low importance in the document set is greatly reduced,and text features are refined to form a text feature set that is easy for knowledge mining.2)Problem mining process.By calculating the feature set TF-IDF,the importance of each feature is evaluated,and the keyword set that can represent the hot topic of the problem is selected;Through the text classification model and evaluation index based on machine learning to verify the representativeness of topic keywords to document set problem;By calculating the modified correlation coefficient between the keyword set and the feature set,the high of the keyword is selected Relevant vocabulary constitutes a descriptive core phrase for the problem,reflecting the specific problem status under each hot topic.3)Analysis of warehousing strategy issues.According to the core phrases of the questions,the texts are classified into three types of questions and 16 types of detailed questions.In-depth analysis is carried out from the unique question categories of each warehouse distribution strategy and the high concern question categories.After systematic analysis,this article finds that the core of each warehousing strategy problem lies in excessive focus on model operation and innovative concepts,but lacks supporting technical solutions and supply chain management capabilities,and tends to use a large amount of capital input to cover up the shortcomings of the problem,which is not practical Solving the problem and engaging in vicious competition has led to the low level of profitability and development of the fresh food e-commerce market as a whole.Only by changing the development thinking,focusing on improving the landing plan in various fresh retail scenarios according to the characteristics of its own warehousing strategy,can the industry develop healthily.
Keywords/Search Tags:Warehousing Strategy, Problem Classification, Data Mining, Text Mining
PDF Full Text Request
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