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Order prediction method based on regional trade data analysis

A technology of data analysis and prediction methods, applied in data processing applications, sales/lease transactions, instruments, etc., can solve problems such as gaps, and achieve the effect of saving time, facilitating analysis and calculation, and clear data

Active Publication Date: 2019-04-19
山东浪潮新世纪科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Commodity trade is the cooperation between some trading companies and some merchants. Simply put, it is to carry the goods. At the same time, the quantity of the goods will be reserved before the movement to prevent the situation of too many goods. Some Trading companies will predict the order of goods, but there is a big gap between the usual order forecast and the actual order. Therefore, we propose an order forecast method based on regional trade data analysis

Method used

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  • Order prediction method based on regional trade data analysis

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Embodiment Construction

[0049] Such as figure 1 As shown, an order forecasting method based on regional trade data analysis, including a data entry module, a data extraction module, a data sorting module, a central processing unit, a storage module, a data analysis module, a data forecasting module and a display screen;

[0050] Wherein, the data entry module is used for staff to enter past trade data information, the trade data information includes item type information, item sales information and item unit price information, and the data extraction module is used to extract the item in the data input module The category information, item sales information and item unit price information are transmitted to the data sorting module. The data sorting module is used to sort out the data information transmitted by the data extraction module. The sorting process is as follows:

[0051] Step 1: Obtain the item type information in the trade data information within the first period of time, and mark the item...

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PUM

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Abstract

The invention discloses an order prediction method based on regional trade data analysis. The system comprises a data input module, Data extraction module, Data sorting module, Central processing unit, Storage module, Data analysis module, Data prediction module and display screen, the data input module is used for inputting trade data information in the past by a worker; wherein the trade data information comprises object type information; and object sales information and object unit price information, the data extraction module is used for extracting object type information in the data inputmodule; the object sales volume information and the object unit price information are transmitted to the data arrangement module; Through the arrangement of the data analysis module, the data information can be analyzed and calculated conveniently, the sales volume information change, expansion increase or decrease proportion of an object can be known clearly, detailed information of the data canbe known through simple data, the time consumed by work for data analysis is saved, and the work efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of order forecasting, and relates to a trade data analysis technology, in particular to an order forecasting method based on regional trade data analysis. Background technique [0002] Trade refers to the general term for buying and selling or trading behaviors, usually referring to all exchange activities or behaviors using currency as a medium, and its scope of activities includes not only commodity exchange activities engaged in by commerce, but also commodity sales activities organized by commodity producers or others ;Including not only domestic trade, but also international trade between countries. In the ancient market, there was not only material commodity trade, but also slave trade. In the modern market, in addition to tangible commodity trade, there are also technology, capital, Information, labor services, and intangible trade activities such as insurance and tourism. [0003] Commodity trade is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0202G06Q30/0635
Inventor 陈芳上官林丹
Owner 山东浪潮新世纪科技有限公司
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