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Data processing method and device and machine readable medium

A data and business data technology, applied in the Internet field, can solve problems such as inaccurate distribution results, inconsistent actual sales, and inventory occupation at the front desk of the website. Reduce the effect of frequent calls

Pending Publication Date: 2020-03-03
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the distribution of inventory by manual means is not accurate enough, and it is easy to make the inventory in a region inconsistent with the actual sales in this region; in this way, there will be frequent transfers (that is, repeated transfers of inventory between multiple regions) In some cases, the above-mentioned frequent transfers will affect the stability of business data and business systems, causing the inventory at the front desk of the website to be repeatedly occupied and cannot be deducted, which in turn will affect the conversion rate of buyers.

Method used

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  • Data processing method and device and machine readable medium
  • Data processing method and device and machine readable medium
  • Data processing method and device and machine readable medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] refer to image 3 , which shows a flow chart of the steps of Embodiment 1 of a data processing method of the present application, which may specifically include the following steps:

[0072] Step 301, providing historical business data of resources in the region;

[0073] Step 302, receiving the first business data of the resource in the area and within the first time period;

[0074] Step 303, according to the historical business data and the first business data, determine the predicted sales information of the resource in the region and within the second time period;

[0075] Step 304 , according to the inventory information of the resource in the area and the forecasted sales information, allocate the inventory in the area.

[0076] Steps 301 to 304 included in the method of the embodiment of the present application may be executed by the transfer server 202 . Of course, the specific execution subject corresponding to the method in the embodiment of the present ap...

Embodiment 2

[0127] refer to Figure 4 , which shows a flow chart of the steps of Embodiment 2 of a data processing method of the present application, which may specifically include the following steps:

[0128] Step 401, providing historical business data of resources in the region;

[0129] Step 402, providing characteristic data of resources, and / or, user routing data;

[0130] Step 403, receiving the first business data of the resource in the area and within the first time period;

[0131] Step 404, according to the historical business data, the first business data, the characteristic data of the resource and / or the user routing data, determine the predicted sales information of the resource in the region and within the second time period;

[0132] Step 405 , according to the inventory information of the resource in the area and the forecasted sales information, allocate the inventory in the area.

[0133] compared to image 3 In Embodiment 1 of the method shown, this embodiment ca...

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Abstract

The embodiment of the invention discloses a data processing method, a data processing device and a data processing device. The method specifically comprises the following steps: providing historical service data of resources in a region; receiving first service data of the resource in the area and in a first time period; according to the historical service data and the first service data, determining predicted sales volume information of the resource in the region and in a second time period; and allocating the inventory in the region according to the inventory information of the resources inthe region and the predicted sales volume information. According to the embodiment of the invention, the situation of frequent allocation (namely repeated allocation of inventory among a plurality ofregions) can be reduced. Therefore, a series of defects caused by frequent allocation can be overcome to a certain extent, for example, the stability of service data and a service system can be improved, the situation that the inventory of a website foreground is repeatedly occupied and cannot be deducted is reduced, and the order placing conversion rate of a buyer can be improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a data processing method, device and machine-readable medium. Background technique [0002] With the rapid development of Internet technology, various commodity trading websites have emerged as the times require, including cross-regional trading websites. For a type of website with cross-regional transactions, its users may come from different regions, such as users in Europe, the United States, Brazil, Southeast Asia, Asia and other regions can purchase goods on such websites; therefore, such websites usually A corresponding inventory is maintained for each region, where the inventory may refer to the quantity of commodities that can be traded in a market in a region. [0003] Currently, inventory allocation can be done manually to obtain the inventory corresponding to a region. Specifically, the inventory allocation can be carried out according to the exper...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06Q10/06
CPCG06Q10/087G06Q10/06312
Inventor 王磊谢谦陈光华蔡波洋
Owner ALIBABA GRP HLDG LTD
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