Method for predicting inventory allocation proportion, device and electronic device

A technology of allocation ratio and inventory, which is applied in the field of electronic equipment and forecasting inventory allocation ratio, and can solve the problem of low accuracy of allocation quantity

Inactive Publication Date: 2016-11-23
CAINIAO SMART LOGISTICS HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present application provides a method and device for predicting the proportion of inventory allocation to solve the problem of low accuracy in the allocation quantity of inventory allocation based on the recent sales data of commodities in each warehouse in the prior art

Method used

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  • Method for predicting inventory allocation proportion, device and electronic device
  • Method for predicting inventory allocation proportion, device and electronic device
  • Method for predicting inventory allocation proportion, device and electronic device

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Embodiment Construction

[0084] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0085] In this application, a method and device for predicting inventory allocation ratio are provided. Each will be described in detail in the following examples.

[0086] The basic idea of ​​the method for predicting the inventory allocation ratio provided by this application is: according to the characteristic data related to the sales volume of the commodity in the warehouse, use the prediction model generated by pre-training to predict the inventory allocation ratio of the commodity in the warehouse for a certai...

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Abstract

The present application discloses a method, device and electronic equipment for predicting inventory distribution ratio. Wherein the method for predicting the inventory distribution ratio includes: obtaining the characteristic data related to the sales volume of the commodity to be distributed in the warehouse to be distributed as the characteristic data for prediction; according to the characteristic data for prediction and the pre-generated prediction model, generating the A predicted value of the inventory allocation ratio of the commodity to be allocated in the warehouse to be allocated. Using the method provided by this application, it is possible to comprehensively evaluate the distribution ratio of the commodity to be distributed in the warehouse to be distributed based on factors such as the historical sales behavior of the commodity and the purchase demand that may arise in the future. Rely more on manpower for inventory allocation, so as to reduce the out-of-stock rate and delivery timeliness, and improve the inventory turnover level and consumer experience.

Description

technical field [0001] The present application relates to the technical field of data mining, and in particular to a method and device for predicting inventory allocation ratios. The present application also relates to an electronic device. Background technique [0002] With the continuous development of Internet technology, there has been a modern business method of conducting business activities through public computer communication networks, namely: e-commerce. E-commerce has broken through the time and geographical limitations of traditional commerce, and has the characteristics of safety, reliability, speed, clarity and convenience, and has gradually become the main way of social life. E-commerce activities can be carried out anytime and anywhere through the Internet. [0003] The B2C (Business to Consumer) model is a typical e-commerce model. There are many B2C e-commerce websites. Transactions through the B2C model mainly involve three online roles: platform opera...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02
Inventor 陈鹏陈晓泉
Owner CAINIAO SMART LOGISTICS HLDG LTD
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