CN115439145A

CN115439145A - Order processing method and device, electronic equipment and storage medium

Info

Publication number: CN115439145A
Application number: CN202211047826.4A
Authority: CN
Inventors: 王雷; 袁舒流; 成鹏; 陈镰方; 罗婧玮; 丁美华
Original assignee: Nanjing Leading Technology Co Ltd
Current assignee: Nanjing Leading Technology Co Ltd
Priority date: 2022-08-30
Filing date: 2022-08-30
Publication date: 2022-12-06

Abstract

The application discloses an order processing method, an order processing device, electronic equipment and a storage medium, which belong to the technical field of Internet, and the method comprises the following steps: obtaining dispatch reference information of a target order, wherein the dispatch reference information at least comprises order information of the target order, determining label data of the target order based on the order information of the target order, selecting a historical order similar to the label data of the target order as a reference order from historical orders which belong to the same area and correspond to reward resources, determining reward resources corresponding to the target order based on the reward resources corresponding to each reference order, and sending the corresponding reward resources to an order receiving terminal for sending the target order after the target order is sent, so that the reward resources of the historical order similar to the label data of the target order are rewarded to be sent to the order receiving terminal of the target order, and therefore, the willingness of order receiving at the order receiving terminal is improved, and the whole number of reward resources is saved.

Description

Order processing method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of internet technologies, and in particular, to an order processing method and apparatus, an electronic device, and a storage medium.

Background

With the rapid development of internet technology, a plurality of network orders such as network car order, take-away order, designated driving order and the like appear, and it is very important to promote the order taking willingness of the order taking terminal in any form of network orders.

Disclosure of Invention

The embodiment of the application provides an order processing method, an order processing device, electronic equipment and a storage medium, and is used for providing a scheme for improving order receiving willingness of a terminal.

In a first aspect, an embodiment of the present application provides an order processing method, including:

acquiring dispatching reference information of a target order, wherein the dispatching reference information at least comprises order information of the target order;

determining label data of the target order based on the order information;

selecting a historical order with label data similar to that of the target order as a reference order from historical orders corresponding to the reward resources in the area to which the target order belongs;

determining reward resources corresponding to the target order based on the reward resources corresponding to the reference orders;

and after the target order is delivered, transmitting the reward resource corresponding to the target order to an order receiving end delivering the target order.

In some embodiments, determining tag data for the target order based on the order information comprises:

determining characteristic data of the target order on each order dimension based on the order information, wherein each order dimension comprises any combination of a time period to which the order placing time of the target order belongs, an information point to which a starting point of the target order belongs, and an information point to which an end point of the target order belongs;

and determining the label data of the target order based on the characteristic data of the target order in each order dimension.

In some embodiments, the dispatch reference information further includes an order demand at the time of dispatching the target order, further comprising:

determining the order demand quantity as characteristic data of the target order on an order demand dimension;

determining label data of the target order based on the characteristic data of the target order in each order dimension, wherein the determining comprises the following steps:

and determining the label data of the target order based on the characteristic data of the target order in each order dimension and the characteristic data of the target order in the order demand dimension.

In some embodiments, the dispatch reference information further includes weather information when the target order is dispatched, further comprising:

determining the weather information as characteristic data of the target order in weather dimension;

determining label data of the target order based on the characteristic data of the target order in each order dimension and the characteristic data of the target order in a weather dimension.

determining tag data of the target order based on the feature data of the target order in each order dimension and the feature data of the target order in the weather dimension, wherein the determining comprises the following steps:

and determining the characteristic data of the target order in each order dimension, the characteristic data in the weather dimension and the characteristic data in the order demand dimension as the label data of the target order.

In some embodiments, selecting, as a reference order, a historical order having tag data similar to that of the target order from among historical orders corresponding to bonus resources in an area to which the target order belongs includes:

and determining the historical order which has the same characteristic data of the target order in each order dimension, the same characteristic data of the target order in the weather dimension and the difference between the characteristic data of the target order in the order demand dimension smaller than the preset difference as the reference order.

In some embodiments, further comprising:

if the reference order is not selected, expanding a reference area corresponding to the information point to which the starting point belongs and/or a reference area corresponding to the information point to which the end point belongs according to a set amplitude;

and executing the step of selecting a historical order with label data similar to that of the target order as a reference order from the historical orders corresponding to the reward resources in the area to which the target order belongs until the reference order is selected.

In some embodiments, determining the reward resource corresponding to the target order based on the reward resource corresponding to each reference order includes:

determining the median of the reward resources corresponding to each reference order;

and determining the reward resources corresponding to the target order based on the median and a dispatching adjustment coefficient, wherein the dispatching adjustment coefficient is determined according to the order demand quantity when the target order is dispatched and the number of order receiving ends capable of receiving orders.

In some embodiments, further comprising:

determining the order receiving adjustment coefficient corresponding to the order receiving end which is sent to the target order based on the established corresponding relation between the label data of the order receiving end and the order receiving adjustment coefficient;

determining the reward resources corresponding to the target order based on the median and the order adjustment coefficient, wherein the determining comprises the following steps:

and determining the product of the median, the order dispatching adjustment coefficient and the determined order receiving adjustment coefficient as the reward resource corresponding to the target order.

In a second aspect, an embodiment of the present application provides an order processing apparatus, including:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring dispatching reference information of a target order, and the dispatching reference information at least comprises order information of the target order;

the label determining module is used for determining label data of the target order based on the order information;

the selection module is used for selecting a historical order with label data similar to that of the target order as a reference order from historical orders corresponding to the reward resources in the area to which the target order belongs;

the reward determining module is used for determining reward resources corresponding to the target order based on the reward resources corresponding to the reference orders;

and the sending module is used for sending the reward resources corresponding to the target order to the order receiving end which reaches the target order after the target order is reached.

In some embodiments, the tag determination module is specifically configured to:

determining characteristic data of the target order in each order dimension based on the order information, wherein each order dimension comprises any combination of a time period to which the order placing time of the target order belongs, an information point to which the starting point of the target order belongs, and an information point to which the end point of the target order belongs;

and determining the label data of the target order based on the characteristic data of the target order on each order dimension.

In some embodiments, the shipping reference information further includes an order demand at the time the target order is shipped, and the tag determination module is further configured to:

In some embodiments, the dispatch reference information further includes weather information when the target order was dispatched, and the tag determination module is further configured to:

In some embodiments, the dispatch reference information further includes an order demand at the time of dispatching the target order, and the tag determination module is further configured to:

In some embodiments, the selection module is specifically configured to:

and determining the historical orders which have the same characteristic data of the target orders in each order dimension, have the same characteristic data of the target orders in the weather dimension and have the difference between the characteristic data of the target orders in the order demand dimension smaller than the preset difference as the reference orders.

In some embodiments, the tag determining module is further configured to, if no reference order is selected, expand the reference region corresponding to the information point to which the starting point belongs according to a set amplitude, and/or expand the reference region corresponding to the information point to which the end point belongs;

and the selection module is also used for executing the step of selecting the historical order with the label data similar to that of the target order as a reference order from the historical orders corresponding to the reward resources in the area to which the target order belongs until the reference order is selected.

In some embodiments, the reward determination module is specifically configured to:

and determining the reward resources corresponding to the target order based on the median and a scheduling adjustment coefficient, wherein the scheduling adjustment coefficient is determined according to the order demand and the number of order receiving ends capable of receiving orders when the target order is scheduled.

In some embodiments, the reward determination module is further to:

and determining the product of the median, the dispatching adjustment coefficient and the determined order receiving adjustment coefficient as the reward resource corresponding to the target order.

In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform any of the order processing methods described above.

In a fourth aspect, an embodiment of the present application provides a storage medium, where when a computer program in the storage medium is executed by a processor of an electronic device, the electronic device is capable of executing any one of the order processing methods described above.

In the embodiment of the application, the dispatching reference information of the target order is obtained, the dispatching reference information at least comprises order information of the target order, label data of the target order is determined based on the order information of the target order, historical orders similar to the label data of the target order are selected as reference orders from historical orders which belong to the same area and correspond to reward resources, reward resources corresponding to the target order are determined based on the reward resources corresponding to the reference orders, and after the target order is delivered, the corresponding reward resources are sent to the order receiving end of the delivered target order.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a schematic view of an application scenario of an order processing method according to an embodiment of the present application;

fig. 2 is a flowchart of an order processing method according to an embodiment of the present application;

FIG. 3a is a flowchart of another order processing method according to an embodiment of the present application;

FIG. 3b is a flowchart of another order processing method according to the embodiment of the present application;

FIG. 4 is a flowchart of another order processing method provided in the embodiments of the present application;

fig. 5 is a schematic structural diagram of an order processing apparatus according to an embodiment of the present application;

fig. 6 is a schematic hardware structure diagram of an electronic device for implementing an order processing method according to an embodiment of the present application.

Detailed Description

In order to improve the order-receiving willingness of the order-receiving end, the embodiment of the application provides an order processing method and device, electronic equipment and a storage medium.

The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it should be understood that the preferred embodiments described herein are merely for illustrating and explaining the present application, and are not intended to limit the present application, and that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

To facilitate understanding of the present application, the present application refers to technical terms in which:

the reward resources can be represented as bonus, red packet, coupon, etc., generally, the resources which can play the role of reward can be used as reward resources.

Information points (points of interest, points) refer to meaningful points on a map that are not geographically meaningful, such as stores, scenic spots, gas stations, hospitals, stations, etc., and an information Point generally corresponds to a reference area, which may be a hexagonal area, a circular area, etc.

The order processing method provided by the embodiment of the application can be applied to various scenes such as online taxi appointment, take-out, designated driving, commodity arrival and the like. Fig. 1 is an application scenario diagram of an order processing method according to an embodiment of the present application, including a lower end, a server, and an end, where the lower end is connected to the server through a wired network or a wireless network, and the end is also connected to the server through a wired network or a wireless network.

The order placing end, such as a mobile phone, an Ipad, a computer and the like, can send an order placing request to the server, wherein the order placing request can comprise order information of an order to be dispatched, such as the longitude and latitude of a starting point and the longitude and latitude of a finishing point.

And the server can select the order receiving end meeting the order dispatching condition based on the order information in the order placing request when receiving the order placing request sent by any order placing end, and send an order dispatching instruction to the selected order receiving end, wherein the order dispatching instruction comprises the order dispatching information such as the longitude and latitude of a starting point, the longitude and latitude of an end point, the contact way of the next person and the like.

And (4) receiving a single end, such as a mobile phone, an Ipad, a computer and the like, and executing a single receiving flow and a single sending flow based on the dispatching information in the dispatching instruction after receiving the dispatching instruction sent by the server.

After introducing the application scenario of the embodiment of the present application, the order processing proposed by the present application is described below with a specific embodiment. Fig. 2 is a flowchart of an order processing method according to an embodiment of the present application, where the method is applied in the server in fig. 1, and the method includes the following steps.

In step 201, the delivery reference information of the target order is obtained, and the delivery reference information at least includes the order information of the target order.

The order information of the target order is the order time, the longitude and latitude of the starting point, the longitude and latitude of the ending point and the like.

In step 202, tag data for the target order is determined based on the order information.

In the first step, characteristic data of the target order in each order dimension can be determined based on the order information, wherein each order dimension can comprise any combination of a time period to which the order placing time of the target order belongs, an information point to which the starting point of the target order belongs, and an information point to which the end point of the target order belongs.

Generally, a plurality of information points may be predetermined, each corresponding to a reference area. And if the starting point of the target order falls into the reference area corresponding to the information point, determining the information point as the information point to which the starting point belongs, and if the end point of the target order falls into the reference area corresponding to the information point, determining the information point as the information point to which the end point belongs.

And secondly, determining label data of the target order based on the characteristic data of the target order in each order dimension.

For example, the characteristic data of the target order in each order dimension is determined as the tag data of the target order.

In step 203, a historical order with label data similar to that of the target order is selected as a reference order from the historical orders corresponding to the reward resources in the area to which the target order belongs.

The area to which the target order belongs may refer to a city to which the starting point of the target order belongs.

Taking the example that the tag data of the target order includes the characteristic data of the target order in each order dimension, for the historical order corresponding to the reward resource in the area to which the target order belongs, the historical order having the same characteristic data as the target order in each order dimension may be used as the reference order.

In step 204, based on the reward resource corresponding to each reference order, the reward resource corresponding to the target order is determined.

In order to avoid determining too large or too small reward resources for the target order, the median of the reward resources corresponding to each reference order may be determined first, and then the reward resources corresponding to the target order may be determined based on the median and the order adjustment coefficient, for example, the product of the median and the order adjustment coefficient may be determined as the reward resources corresponding to the target order.

The order adjustment coefficient may be determined according to the order demand and the number of order taking ends that can take orders when the target order is dispatched, for example, the order adjustment coefficient = order demand/number of order taking ends that can take orders.

Therefore, the rewarding resources corresponding to the target orders are adjusted by referring to the order dispatching pressure when the target orders are dispatched, so that the larger rewarding resources can be determined for the target orders when the order dispatching pressure is high, the smaller rewarding resources can be determined for the target orders when the order dispatching pressure is low, and the order dispatching strategy can be rationalized while the order taking willingness is improved.

In step 205, after the target order is delivered, the reward resource corresponding to the target order is sent to the order receiving end delivering the target order.

Namely, after the target order is finished, the reward resource corresponding to the target order is sent to the order receiving end which sends the target order, so that the current order sending behavior of the order receiving end is rewarded.

In practical applications, in order to encourage the taking of single-order receipts, single-order prizes and single-order-rushing prizes can be released in special time periods such as early peak 7-9, late peak 18-20. In this case, the reward resource corresponding to the target order can be determined by combining the delivery quantity of the order receiving end delivered to the target order in the specified time period.

Taking the early peak as an example, if the target order is the 5 th order delivered by the order receiving end delivering the target order in the early peak, after determining the reward resource corresponding to the target order based on the reward resource corresponding to each reference order, the Sum of the reward resource and the reward resource corresponding to the 4 orders delivered by the order receiving end can be calculated. If Sum is less than 30, the order receiving end can be reminded that the reward condition of the order-making prize is met after the target order is delivered, and the poor reward resources (namely 30-the Sum of reward resources corresponding to 4 orders delivered by the order receiving end) can be sent to the order receiving end after the target order is delivered.

Fig. 3a is a flowchart of another order processing method provided in the embodiment of the present application, which is applied in the server of fig. 1 and includes the following steps.

In step 301a, dispatch reference information of the target order is obtained, where the dispatch reference information at least includes order information of the target order and weather information when the target order is dispatched.

The order information of the target order is the order time, the longitude and latitude of the starting point, the longitude and latitude of the ending point and the like; weather information such as sunny, rainstorm, snow, heat, etc.

In step 302a, based on the order information, characteristic data of the target order in each order dimension is determined.

Each order dimension comprises any combination of a time period to which the order placing time of the target order belongs, an information point to which the starting point of the target order belongs, and an information point to which the end point of the target order belongs.

In step 303a, the weather information is determined as characteristic data of the target order in the weather dimension.

In step 304a, tag data for the target order is determined based on the characteristic data for the target order in each order dimension and the characteristic data for the weather dimension.

For example, the characteristic data of the target order in each order dimension and the characteristic data of the target order in the weather dimension are determined as the tag data of the target order.

In step 305a, a historical order with tag data similar to that of the target order is selected as a reference order from the historical orders corresponding to the reward resources in the area to which the target order belongs.

Taking the example that the tag data of the target order includes characteristic data of the target order in each order dimension and characteristic data of the target order in a weather dimension, for a historical order corresponding to a reward resource in the area to which the target order belongs, a historical order having the same characteristic data of the target order in each order dimension and the same characteristic data of the target order in the weather dimension may be used as a reference order.

In step 306a, based on the bonus resources corresponding to each reference order, bonus resources corresponding to the target order are determined.

The step can be performed in step 204, and is not described herein again.

In step 307a, after the target order is delivered, the reward resource corresponding to the target order is sent to the order receiving end delivering the target order.

It should be noted that there is no strict sequence relationship between the steps 302a to 303 a.

Fig. 3b is a flowchart of another order processing method provided in the embodiment of the present application, where the method is applied in the server in fig. 1, and the method includes the following steps.

In step 301b, dispatch reference information of the target order is obtained, where the dispatch reference information at least includes order information of the target order and an order demand amount when the target order is dispatched.

The order information of the target order is as follows, the longitude and latitude of a starting point, the longitude and latitude of an ending point and the like; the order demand is 100, 80, etc.

In step 302b, based on the order information, characteristic data of the target order in each order dimension is determined.

In step 303b, the order demand is determined as characteristic data of the target order in the order demand dimension.

In step 304b, tag data for the target order is determined based on the characteristic data for the target order in each order dimension and the characteristic data for the order demand dimension.

For example, the characteristic data of the target order in each order dimension and the characteristic data of the target order in the order requirement dimension are determined as the tag data of the target order.

In step 305b, a historical order with tag data similar to that of the target order is selected as a reference order from the historical orders corresponding to the reward resources in the area to which the target order belongs.

Taking the example that the tag data of the target order includes the feature data of the target order in each order dimension and the feature data of the target order in the order demand dimension, for the historical order corresponding to the reward resource in the area to which the target order belongs, the historical order which is the same as the target order in each order dimension and has a difference between the feature data of the target order in the order demand dimension smaller than a preset difference can be taken as the reference order. And the difference between the characteristic data on the order demand dimension is smaller than a preset difference, for example, the difference between the two order demand quantities is smaller than a preset value.

In step 306b, based on the reward resource corresponding to each reference order, the reward resource corresponding to the target order is determined.

The step can be performed in step 204, and is not described herein again.

In step 307b, after the target order is delivered, the reward resource corresponding to the target order is sent to the order receiving end delivering the target order.

Similarly, there is no strict precedence relationship between the above steps 302b-303 b.

Fig. 4 is a flowchart of another order processing method provided in the embodiment of the present application, where the method is applied in the server in fig. 1, and the method includes the following steps.

In step 401, dispatch reference information of the target order is obtained, where the dispatch reference information at least includes order information of the target order, weather information when the target order is dispatched, and an order demand.

The order information of the target order is the order time, the longitude and latitude of the starting point, the longitude and latitude of the ending point and the like; weather information such as sunny, rainstorm, snow, heat, etc.; the order demand is 100, 80, etc.

In step 402, based on the order information, characteristic data of the target order in each order dimension is determined.

In step 403, weather information is determined as characteristic data of the target order in the weather dimension.

In step 404, the order demand is determined as characteristic data of the target order in the order demand dimension.

In step 405, the characteristic data of the target order in each order dimension, the characteristic data in the weather dimension, and the characteristic data in the order demand dimension are determined as the tag data of the target order.

Thus, the tag data of the target order is richer.

In step 406, a historical order with label data similar to that of the target order is selected as a reference order from the historical orders corresponding to the reward resource in the area to which the target order belongs.

For the historical orders corresponding to the reward resources in the area to which the target order belongs, the historical orders with the same characteristic data of the target order in each order dimension, the same characteristic data of the target order in the weather dimension and the difference between the characteristic data of the target order in the order demand dimension smaller than the preset difference can be used as the reference orders. And the difference between the characteristic data on the order demand dimension is smaller than a preset difference, such as the difference between the order demand quantity and the order demand quantity is smaller than a preset value.

In step 407, the median of the awarded resources corresponding to each reference order is determined.

In step 408, the ratio of the acquired order demand at the time of dispatching the target order to the number of available orders is determined as a dispatching adjustment coefficient.

In step 409, the order receiving adjustment coefficient corresponding to the order receiving end delivered to the target order is determined based on the established correspondence between the label data of the order receiving end and the order receiving adjustment coefficient.

Taking a network appointment car scene as an example, the corresponding relationship between the tag data of the order receiving end and the order receiving adjustment coefficient is as follows: the tag data of the single-end connection is of a cautious driving type, the adjustment coefficient of the single-end connection is K1, the tag data of the single-end connection is of a compliant driving type, the adjustment coefficient of the single-end connection is K2, the tag data of the single-end connection is of an easily-violated driving type, the adjustment coefficient of the single-end connection is K3, wherein K1 is greater than K2 and greater than K3, and the tag data of the single-end connection is obtained by carrying out statistical analysis on historical driving behaviors of the single-end connection.

Therefore, different order receiving adjusting coefficients are configured for the order receiving ends under different conditions, and different types of order receiving ends can be transferred by using different reward resources, so that the purpose of reasonably scheduling the transport capacity of the order receiving ends is achieved.

In step 410, the product of the median, the dispatching adjustment coefficient and the determined order taking adjustment coefficient is determined as the reward resource corresponding to the target order.

In step 411, after the target order is delivered, the reward resource corresponding to the target order is sent to the order receiving end delivering the target order.

It should be noted that there is no strict sequence relationship between the steps 402 to 404, and there is no strict sequence relationship between the steps 407 to 409.

In addition, in any of the above embodiments, when a reference order having tag data similar to that of the target order is not selected from the historical orders having reward resources corresponding to the target order belonging to the area, the reference area corresponding to the information point to which the start point of the target order belongs may be enlarged by a set width, and/or the reference area corresponding to the information point to which the end point of the target order belongs may be enlarged. And if the label data of the target order is not selected, the operation is circulated, namely the reference area corresponding to the information point to which the starting point of the target order belongs is continuously enlarged according to the set range, and/or the reference area corresponding to the information point to which the ending point of the target order belongs is continuously enlarged until the reference order is selected.

The following describes a scheme of the embodiment of the present application by taking an order as a network car booking order and an awarded resource as a bonus as an example.

Assume that the server dispatches the current order, O, to order taking, a.

Suppose the order information for order O is: the order-giving time is as follows: 7, longitude and latitude of a starting point: (x 1, y 1), latitude and longitude of the endpoint: (x 2, y 2), then it can be determined that the order placing time of order O belongs to the time period: 7:00 to 9:00, the starting point poi is business circle 1, and the ending point poi is business circle 2. That is, the characteristic data of the order O in each order dimension is { period: 7:00-9: 00; the origin poi: a business circle 1; end point poi: business circle 2}.

Assume that the weather at the time of dispatch order O is: rain, order demand 20, and number of order takers that can take orders 10, then the weather dimensional characterization data for order O can be determined as: rain, characteristic data in the order demand dimension is 20.

Then, the label data of the finally determined order O is { period: 7:00 to 9:00; the origin poi: a business circle 1; end point poi: a business circle 2; weather: rain; order demand dimension: 20}.

Assuming that the starting point of the order O belongs to the city C, label data of each historical order with bonus in the city C can be labeled in advance from multiple dimensions, wherein the multiple dimensions include a time period to which the order placing time belongs, the starting point poi, the ending point poi, weather at the time of order dispatching and order demand at the time of order dispatching.

Then, from the historical orders with bonus money in city C, the historical order with tag data similar to that of order O can be selected as the reference order.

For example, in the history order with bonus in city C, the corresponding label data is: the time period is 7:00 to 9: 00. and determining historical orders with a starting point poi of a business circle 1, an ending point poi of a business circle 2, and weather of rain during dispatching, wherein the historical orders with the order demand of 18-22 during dispatching are determined as reference orders.

Then, the median of the bonus corresponding to each reference order can be determined, the order demand and the number of the order receiving ends capable of receiving orders when the order O is dispatched can be obtained, the ratio of the order demand and the number of the order receiving ends is determined as a dispatching adjustment coefficient, and the product of the median and the dispatching adjustment coefficient is determined as the bonus corresponding to the order O.

In addition, in order to determine the most appropriate bonus for each order receiving end, the order receiving adjustment coefficient corresponding to the order receiving end A can be determined based on the established corresponding relation between the label data of the order receiving end and the order receiving adjustment coefficient, and then the bonus corresponding to the order O is determined by multiplying the median by the order dispatching adjustment coefficient and the order receiving adjustment coefficient.

And subsequently, after the order receiving end A is confirmed to be delivered to the order O, awarding the prize money corresponding to the order O to the order receiving end A.

Based on the same technical concept, the embodiment of the present application further provides an order processing apparatus, and the principle of the order processing apparatus for solving the problem is similar to that of the order processing method, so the implementation of the order processing apparatus can refer to the implementation of the order processing method, and repeated details are not described herein.

Fig. 5 is a schematic structural diagram of an order processing apparatus according to an embodiment of the present disclosure, which includes an obtaining module 501, a tag determining module 502, a selecting module 503, an incentive determining module 504, and a sending module 505.

An obtaining module 501, configured to obtain dispatch reference information of a target order, where the dispatch reference information at least includes order information of the target order;

a tag determination module 502, configured to determine tag data of the target order based on the order information;

a selecting module 503, configured to select, from historical orders corresponding to reward resources in an area to which the target order belongs, a historical order with tag data similar to that of the target order as a reference order;

an incentive determining module 504, configured to determine, based on an incentive resource corresponding to each reference order, an incentive resource corresponding to the target order;

a sending module 505, configured to send the reward resource corresponding to the target order to an order taking end that arrives at the target order after the target order is arrived.

In some embodiments, the tag determining module 502 is specifically configured to:

In some embodiments, the dispatch reference information further includes an order demand at the time of dispatching the target order, and the tag determination module 502 is further configured to:

In some embodiments, the dispatch reference information further includes weather information when the target order is dispatched, and the tag determination module 502 is further configured to:

and determining the label data of the target order based on the characteristic data of the target order in each order dimension and the characteristic data of the target order in the weather dimension.

In some embodiments, the selecting module 503 is specifically configured to:

In some embodiments, the tag determining module 502 is further configured to, if no reference order is selected, expand the reference area corresponding to the information point to which the starting point belongs according to a set amplitude, and/or expand the reference area corresponding to the information point to which the end point belongs;

the selecting module 503 is further configured to perform a step of selecting, from the historical orders corresponding to the reward resource in the area where the target order belongs, a historical order with label data similar to that of the target order as a reference order until the reference order is selected.

In some embodiments, the reward determination module 504 is specifically configured to:

In some embodiments, the reward determination module 504 is further configured to:

The division of the modules in the embodiments of the present application is schematic, and only one logic function division is provided, and in actual implementation, there may be another division manner, and in addition, each function module in each embodiment of the present application may be integrated in one processor, may also exist alone physically, or may also be integrated in one module by two or more modules. The coupling of the various modules to each other may be through interfaces that are typically electrical communication interfaces, but mechanical or other forms of interfaces are not excluded. Accordingly, modules illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

After the order processing method and apparatus according to the exemplary embodiment of the present application are introduced, an electronic device according to another exemplary embodiment of the present application is introduced next.

An electronic device 130 implemented according to this embodiment of the present application is described below with reference to fig. 6. The electronic device 130 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the application range of the embodiments of the present application.

As shown in fig. 6, the electronic device 130 is represented in the form of a general electronic device. The components of the electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 that couples various system components including the memory 132 and the processor 131.

Bus 133 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

The memory 132 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.

Memory 132 may also include a program/utility 1325 having a set (at least one) of program modules 1324, such program modules 1324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may comprise an implementation of a network environment.

The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with the electronic device 130, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur via input/output (I/O) interfaces 135. Also, the electronic device 130 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 136. As shown, the network adapter 136 communicates with other modules for the electronic device 130 over the bus 133. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 130, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

In an exemplary embodiment, there is also provided a storage medium in which a computer program is stored, the computer program being executable by a processor of an electronic device to perform the above-mentioned order processing method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, the electronic device of the present application may include at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores a computer program executable by the at least one processor, and the computer program, when executed by the at least one processor, may cause the at least one processor to perform the steps of any of the order processing methods provided by the embodiments of the present application.

In an exemplary embodiment, a computer program product is also provided, which, when executed by an electronic device, enables the electronic device to implement any of the exemplary methods provided herein.

Also, a computer program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable Disk, a hard Disk, a RAM, a ROM, an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a Compact Disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The program product for order processing in the embodiments of the present application may be a CD-ROM and include program code and may be run on a computing device. However, the program product of the present application is not so limited, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, radio Frequency (RF), etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the user computing device over any kind of Network, such as a Local Area Network (LAN) or Wide Area Network (WAN), or may be connected to external computing devices (e.g., over the internet using an internet service provider).

It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functions of two or more units described above may be embodied in one unit, according to embodiments of the application. Conversely, the features and functions of one unit described above may be further divided into embodiments by a plurality of units.

Further, while the operations of the methods of the present application are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While the preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the present application.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. An order processing method, comprising:

determining label data of the target order based on the order information;

2. The method of claim 1, wherein determining tag data for the target order based on the order information comprises:

3. The method of claim 2, wherein the dispatch reference information further comprises an order demand at the time the target order is dispatched, further comprising:

4. The method of claim 2, wherein the dispatch reference information further comprises weather information when the target order is dispatched, further comprising:

5. The method of claim 4, wherein the dispatch reference information further comprises an order demand at the time the target order is dispatched, further comprising:

6. The method of claim 5, wherein selecting as the reference order a historical order having tag data similar to the tag data of the target order from among historical orders corresponding to bonus resources in the area to which the target order belongs comprises:

7. The method of any of claims 2-6, further comprising:

if the reference order is not selected, enlarging a reference area corresponding to the information point to which the starting point belongs according to a set amplitude, and/or enlarging a reference area corresponding to the information point to which the end point belongs;

8. The method of claim 1, wherein determining the reward resource for the target order based on the reward resource for each reference order comprises:

9. The method of claim 8, further comprising:

determining reward resources corresponding to the target order based on the median and the order adjustment coefficient, wherein the reward resources comprise:

10. An order processing apparatus, comprising:

11. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.

12. A storage medium, characterized in that, when the computer program in the storage medium is executed by a processor of an electronic device, the electronic device is capable of performing the method according to any one of claims 1-9.