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Stochastic reduction algorithm-based inventory balance management method and system

An inventory and balance technology, applied in the field of artificial intelligence, can solve problems such as unintelligent and unbalanced inventory information management, and achieve the effect of optimizing inventory data and solving unbalanced and unintelligent inventory information management

Pending Publication Date: 2022-03-22
SHANGHAI HANDPAL INFORMATION TECH SERVICE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an inventory balance management method and system based on a random instant reduction algorithm, which solves the technical problem of unbalanced and unintelligent commodity inventory information management, and achieves intelligent analysis of commodity inventory based on a random instant reduction algorithm. Information and customer consumption information, optimize the inventory data of commodities, and make the inventory information of commodities achieve a balanced technical effect

Method used

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  • Stochastic reduction algorithm-based inventory balance management method and system
  • Stochastic reduction algorithm-based inventory balance management method and system
  • Stochastic reduction algorithm-based inventory balance management method and system

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Experimental program
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Embodiment 1

[0028] Such as figure 1 As shown, the embodiment of the present application provides an inventory balance management method based on the random instant reduction algorithm, wherein the method includes:

[0029] S100: Obtain first user demand information;

[0030] Specifically, the first user is a person who has the habit of online shopping, and the first user demand information may be an information record formed by comprehensively sorting out the first user's search records, browsing records, or other related records. The above-mentioned first user demand information provides a data basis for subsequent data analysis.

[0031] S200: Determine whether the first user participates in the balanced commodity activity, and obtain purchase history information of the first user when the first user participates in the balanced commodity activity;

[0032] Specifically, the balanced commodity is a collection of commodities, including a variety of balanced commodities, theoretically i...

Embodiment 2

[0086]Based on the same inventive concept as the inventory balance management method based on the random instant reduction algorithm in the foregoing embodiment, as Figure 5 As shown, the embodiment of the present application provides a system for inventory balance management based on the random instant reduction algorithm, wherein the system includes:

[0087] A first obtaining unit 11, the first obtaining unit 11 is used to obtain the inventory information of the first balanced product;

[0088] The second obtaining unit 12, the second obtaining unit 12 is used to judge whether the first user participates in the balanced commodity activity, and obtains the purchase history information of the first user when the first user participates in the balanced commodity activity;

[0089] The third obtaining unit 13, the third obtaining unit 13 is used to generate the random probability value of the first user through the business rule module, and obtain the first random value;

[0...

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PUM

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Abstract

The invention discloses an inventory balance management method based on a stochastic reduction algorithm, and the method comprises the steps: obtaining the inventory information of a first balance commodity; acquiring purchase history information of the first user; generating a random probability numerical value of the first user through a service rule module to obtain a first random numerical value; obtaining a first offset value; performing purchase offset evaluation of the first user according to the purchase historical information to obtain a second offset value; obtaining first commodity matching data according to the first random value, the first offset value and the second offset value; and performing inventory balance management of the commodities based on the first commodity matching data. The technical problem that commodity inventory information management is unbalanced and not intelligent is solved, and the technical effect that the commodity inventory information and customer consumption information are intelligently analyzed based on the random reduction algorithm, the commodity inventory data are optimized, and the commodity inventory information is balanced is achieved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an inventory balance management method and system based on a random instant reduction algorithm. Background technique [0002] Inventory is an unavoidable problem for e-commerce companies. How to make warehouse goods flow in an orderly manner is the top priority of the e-commerce supply chain management background and the lifeblood of e-commerce companies. The orderly circulation of commodities is inseparable from the precise management of commodity inventory data. Different commodities need to be cleared or replenished during the specific inventory management process, or due to shelf life, inventory quantity, or other related reasons, and the specific replenishment quantity and inventory clearance quantity are often difficult to predict. In the field of management, there are management methods for intelligent outbound and inbound storage, but inventory balance m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q30/06G06F17/18
CPCG06Q10/087G06Q30/0623G06F17/18
Inventor 朱宏平
Owner SHANGHAI HANDPAL INFORMATION TECH SERVICE