User demand prediction method and architecture based on drug traceability data

A technology for user needs and forecasting methods, applied in the computer field, can solve the problems of inconvenient correction of forecast values ​​and inconvenience of inconvenience to speculate on user needs.

Pending Publication Date: 2021-12-28
深圳市金活医药有限公司
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] The method in the above patent is suitable for large-capacity data and has good user experience, but it is not convenient to estimate user demand based on sales volume, and it is not convenient to correct the predicted value according to the actual situation

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  • User demand prediction method and architecture based on drug traceability data
  • User demand prediction method and architecture based on drug traceability data
  • User demand prediction method and architecture based on drug traceability data

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Embodiment Construction

[0037] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings, in which several embodiments of the present invention are shown, but the present invention can be realized in different forms, and is not limited to the text described On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0038] It should be noted that when an element is said to be "fixed on" another element, it can be directly on the other element or there can be an intervening element, and when an element is said to be "connected" to another element, it can be Directly connected to another element or possibly intervening elements at the same time, the terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for purposes of illustration only.

[0039] Unless otherwise defined, all technical and scien...

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Abstract

The invention discloses a user demand prediction method and architecture based on drug traceability data. The method comprises the following steps: 1, retrieving drug traceability data; 2, limiting traceability data; 3, function prediction; 4, inquiring medicine information; 5, correcting the influence of seasons and climates; 6, rectifying the epidemic prevention information; 7, advertisement public opinion correction; and 8, government-oriented deviation correction is carried out. According to the prediction method and architecture, the user demand can be conveniently speculated according to the sales volume, and the prediction value can be conveniently corrected according to the actual situation.

Description

technical field [0001] The present invention mainly relates to the technical field of computers, and specifically relates to a user demand prediction method and framework based on drug traceability data. Background technique [0002] The production volume of medicines is restricted by the sales volume of medicines, and the sales volume of medicines, that is, the demand of users is affected by many factors. Accurately predicting the demand of users has an important impact on the manufacture and sales of medicines. [0003] According to a user demand prediction method and framework based on omni-channel operation data provided by the patent document with application number CN201910928706.7, it can be known that the method includes: Step 1: Data collection, obtaining user original operation data from various systems in the omni-channel ;Step 2: Data processing, the user's original operating data is cleaned and processed to construct user portrait data; Step 3: Establish a machi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F16/953G06F16/2458
CPCG06Q30/0202G06Q30/0201G06Q30/0255G06F16/2471G06F16/953
Inventor 赵键玮
Owner 深圳市金活医药有限公司
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