Method and device used for predicting order amount

An order volume and equipment technology, applied in data processing applications, business, instruments, etc., can solve the problems of order volume prediction uncertainty, interference factors, low resource utilization, etc., to achieve the effect of order volume

Inactive Publication Date: 2016-06-22
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In the existing technology, the multicollinearity of the influencing factors will cause the variance of the estimator of the regression coefficient to increase, interfere w...

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  • Method and device used for predicting order amount
  • Method and device used for predicting order amount
  • Method and device used for predicting order amount

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Embodiment Construction

[0014] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. In the drawings, although shown in different drawings, the same reference numerals are used to denote the same or similar components. For clarity and conciseness, detailed descriptions of known functions and structures contained herein will be omitted to avoid making the subject of the present invention unclear.

[0015] figure 1 The method for predicting the order volume according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes: step 110, establishing a decision table.

[0016] Specifically, establishing the decision table may include determining multiple condition attributes and one decision attribute, and the multiple condition attributes and one decision attribute form the decision table.

[0017] In some embodiments, the population of netizens in a certain area, the average price of goods in a certain ...

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Abstract

The present invention provides a method and device for forecasting order quantity. The method includes establishing a decision table; processing the decision table by using the rough set theory based on the database system to obtain a reduced attribute set; using the reduced attribute set to establish a regression analysis model; and using the regression analysis model to predict the order quantity. The method, device and system solve the problem that the variance of the estimator of the regression coefficient becomes larger due to multicollinearity, and realize a more accurate prediction of the order quantity.

Description

Technical field [0001] The present invention relates to the field of e-commerce, in particular to a method and equipment for predicting order quantity. Background technique [0002] Order volume forecasting is an important part of e-commerce. Different regions have different purchasing power, and therefore may generate different order volumes. If the distribution is not based on the regional forecast of the order volume, the efficiency of the logistics network will be low. For example, more logistics resources are deployed in areas with fewer orders, but insufficient logistics resources are deployed in areas with more orders. In addition, accurate order volume forecasting will also have a beneficial impact on the computer resources used by e-commerce. For example, in an area where the order volume is predicted to have a large increase, the bandwidth of the order server (or other similar servers) in the area can be increased or the server can be arranged in the area to avoid th...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0202
Inventor 刘苗苗
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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