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Intelligent shop order routing decision platform based on LBS height configuration

A decision-making and store-based technology, applied in business, equipment, buying and selling/rental transactions, etc., can solve problems such as inability to push users, waste time, etc., and achieve the effect of reducing the amount of calculation, improving user experience, and improving decision-making speed.

Inactive Publication Date: 2017-09-01
上海宝尊电子商务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method only pushes the surrounding stores based on the user's location, and cannot push them to the user based on more conditions. When the inventory of the physical store is not enough, the user needs to find the physical store again, wasting time
[0006] Therefore, there is an urgent need for a store order decision-making platform that flexibly configures decision-making conditions and retrieves the optimal store according to the target address, but there is no report on this decision-making platform.

Method used

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  • Intelligent shop order routing decision platform based on LBS height configuration
  • Intelligent shop order routing decision platform based on LBS height configuration
  • Intelligent shop order routing decision platform based on LBS height configuration

Examples

Experimental program
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Effect test

Embodiment 1

[0024] A kind of store intelligent order routing decision-making platform based on LBS height configuration of the present invention, refer to figure 1 , the decision-making platform is provided with an online store module, a decision-making module, and an offline store module, and the decision-making module is provided with a first storage module and a second storage module, and the first storage module is used to store offline network store data, the second storage module is used to store decision-making condition combinations, wherein the online store module acquires user orders and sends transaction information to the decision-making module, and the decision-making module receives the transaction sent by the online store module Information, extract the key elements in the transaction information, call the combination of decision-making conditions from the second storage module, match and filter the offline online store in the first storage module according to the combinatio...

Embodiment 2

[0027] refer to image 3 , an embodiment of an intelligent order routing decision-making platform for stores based on a highly configured LBS of the present invention.

[0028] S01: Online shop module

[0029] S011: A certain brand's online store (Tmall, Brand Store, Wechat Store, JD) receives a user order;

[0030] S012: Send the order to the decision-making module through the online store module;

[0031] S02: Decision-making module

[0032] S021: Extract the key elements in the order information, including the product brand, product category, product quantity, and user address;

[0033] S022: call the combination of decision-making conditions from the second storage module, the decision-making conditions are specified store conditions (1), inventory conditions (2), LBS distance conditions (3), store carrying capacity conditions (4), the described The combination of decision-making conditions is obtained by using the enumeration method, including (1), (2), (3), (4), (1, ...

Embodiment 3

[0044] A specific implementation of the intelligent order routing decision-making platform for a store based on a highly configured LBS of the present invention.

[0045] A01: A certain brand's Tmall online store receives an order from a user;

[0046] A02: Send the order to the decision-making module through the online shop module;

[0047] A03: Extract the key elements in the order information, including the product brand, product category, product quantity, and user address;

[0048] A04: call the combination of decision-making conditions from the second storage module;

[0049] A05: The decision-making condition selected according to the configuration of the brand is combined into the LBS distance condition (3), and then the offline online store is screened in the first storage module;

[0050] A06: Obtain the first screening result;

[0051] A07: Select a combination of decision-making conditions again as inventory condition (2)+LBS distance condition (3);

[0052] A08:...

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Abstract

The invention relates to an intelligent shop order routing decision platform based on LBS height configuration. The decision platform is provided with an online shop module, a decision module and an offline shop module, wherein the decision module is provided with a first storage module and a second storage module, the first storage module is used for storing offline shop data, and the second storage module is used for storing decision condition combinations. The decision platform is advantaged in that the decision platform is suitable for various types of shop platforms, and seamless butt joint is realized; all the decision condition combinations can be acquired through utilizing an enumeration method and are stored, platform computational complexity is reduced, and a decision speed is improved; different decision condition combinations can be configured according to different users, when the combinations are changed, adding and deleting operation can be carried out according to demands, operation is simple and convenient, user operation maintenance cost is low, and user experience is good.

Description

technical field [0001] The present invention relates to the field of O2O technology, specifically, an intelligent order routing decision-making platform for stores based on LBS highly configured. Background technique [0002] Due to the large-scale popularization and utilization of the Internet, the transaction volume of online shopping is increasing day by day. However, due to the poor information communication between the online store and the offline store, and the wrong matching of the user's address, the delivery speed of the offline store is slower than the user's expectation. [0003] A common address matching method is to use the address area to match nearby stores. However, this method has some flaws. Using the area to calculate the store and the target address is not accurate enough. When the area is handed over, multiple matching stores will appear, which is inefficient. [0004] Chinese invention patent CN201610944719.X, with a public date of 2017.03.15, disclos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/06
CPCG06Q10/04G06Q30/0635
Inventor 黄黎忠黄艳艳李光辉
Owner 上海宝尊电子商务有限公司
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