Dynamic enhanced electronic commerce mode prediction on-line diagnosis system and diagnosis method thereof

Abstract

The invention provides a dynamic enhanced electronic commerce mode prediction on-line diagnosis system and a diagnosis method thereof. A product sales performance comprises sales performances of the first month, the second month, the third month, the fourth month, the fifth month, the sixth month, the seventh month, the eighth month, the ninth month, the tenth month, the eleventh month, and the twelfth month of each product in last year, and transaction information comprises present operation situation, and cost analyses of the first month, the second month, the third month, the fourth month, the fifth month, the sixth month, the seventh month, the eighth month, the ninth month, the tenth month, the eleventh month, and the twelfth month in last year. According to the system and the method, defects of the lack of scientific and systematic determination and diagnosis of transformation, increased decision risk due to incorrect diagnosis of self transformation development of the enterprise, incomplete reflection of annual business condition, and no method for dealing with the diagnosis of newly increased enterprises in the prior art are reduced.

Description

technical field [0001] The invention belongs to the technical field of diagnosis for e-commerce, and in particular relates to an online diagnosis system for dynamic enhanced e-commerce mode prediction and a diagnosis method thereof. Background technique [0002] Factors such as the lack of correct understanding of e-commerce in traditional industries have resulted in excessive cost investment and relatively high risks for enterprises to transform into the Internet. Therefore, in the early stage of traditional industry transformation, the existing technology lacks scientific and systematic judgment and diagnosis of transformation, which cannot allow enterprises to make a correct diagnosis of their own transformation and development, which increases the risk of decision-making. In addition, in the common diagnosis method, the business situation of two months is often combined to evaluate. Such a diagnosis method often does not fully reflect the business situation of the year, ...

AI Technical Summary

Problems solved by technology

And through the method, it reduces the lack of scientific and systematic judgment and diagnosis of transformation in the existing technology, which makes it impossible for enterprises to make a correct diagnosis of their own transformation and development, which increases the risk of decision-making and does not fully reflect the annual business situation. Newly added defects that companies can’t deal with by diagnosing

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