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B Company Ocean Customer Identification And Cause Research

Posted on:2020-12-16Degree:MasterType:Thesis
Country:ChinaCandidate:C SunFull Text:PDF
GTID:2392330602953110Subject:Business management
Abstract/Summary:
In recent years,China’s export trade has developed at a high speed,and has made remarkable achievements.It has impacted on the economies of some major trading countries such as Europe and the United States.Therefore,more and more goods are restricted,which leads to the return of China’s export products.With the return of a large number of export industrial products,the return goods of B company customers increased.In addition,customers of Company B sometimes have the requirement to change the port of transportation,that is,change the destination port of transportation.The customers,shipping back will bring great trouble to Company B,increases the workload of Company B,and affects the daily operation of Company B.Therefore,this paper analyzes the operation mode of B company customers’ shipping back and changing port.This paper first analyzes the influencing factors and distribution characteristies of the customer’s shipping back and changing port operation.The influencing factors include the quality of goods,trade restrictions,credit risk and operational errors.The distribution features include three aspects:before shipment,during transportation,and when the goods reach the port of destination.Seeondly,this paaper identifies the B company customer operation mode,firstly obtaining the comprehensive evaluation score according to the expert scoring method,and uses the K-means clustering method to cluster the customer operation,thus dividing the customers into four categories.Then,this paper analyzes the results of customers shipping back and changing port operation,and conducts principal component analysis based on the quality of the goods,trade restrictions,credit risk and operational errors,and the number of times each customer has changed,thereby determining the main influencing factors.Finally,based on the results of principal component analysis,countermeasures are proposed for various customers.For the first type of customers,they are mainly affected by trade restrictions,and should focus on the types of goods and the laws and regulations that are shipped to the country;for the second type of customers,they should be linked to each other mainly due to operational errors.For the third category of customers,it is mainly affected by the quality of the goods,should focus on quality issues,and is strictly forbidden to shoddy;for the fourth categoiy of customers,it is mainly affected by credit risk,should pay attention to signing a trade contract.At the same time,it also put forward some suggestions for Company B,adopting a strict review policy for the first type of customers,and raising the fees;adopting a stricter review policy for the second type of customers,slightly raising the fees;and paying a little attention to the third category of customers,And slightly reduce the charges;take a spot check and review policy for the fourth category of customers,reduce charges.
Keywords/Search Tags:shippingback and changing port, operation mode, principal component analysis, clustering method
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