CN109359828B

CN109359828B - Scheduling fee determination method and device and electronic equipment

Info

Publication number: CN109359828B
Application number: CN201811125368.5A
Authority: CN
Inventors: 焦俊铭; 季启帆; 张希建; 高正新; 廖世翔
Original assignee: Changsha Daojia Youxiang Home Economics Service Co ltd
Current assignee: Changsha Daojia Youxiang Home Economics Service Co ltd
Priority date: 2018-09-26
Filing date: 2018-09-26
Publication date: 2021-07-09
Anticipated expiration: 2038-09-26
Also published as: CN109359828A

Abstract

The embodiment of the invention provides a scheduling fee determination method, a scheduling fee determination device and electronic equipment. In the order allocation process, a plurality of orders are allocated at one time according to the matching score of each service merchant on each order to be allocated, so that the allocation effect of the N orders to be allocated reaches the global optimum, namely the overall time utilization rate of the service merchant in the cleaning service providing platform is the highest. The process of determining the scheduling fee is to calculate the scheduling fee according to data of various dimensions. The scheduling fee calculation process is to calculate the scheduling fee by using the multidimensional data so as to indirectly and comprehensively reflect the emergency degree of the order. After the user pays the scheduling fee, the user with the stronger service requirement can be accurately determined, so that the service merchant can service the user with the stronger service requirement in a targeted manner. Meanwhile, the arrangement of the scheduling fee can also improve the service enthusiasm of the service merchants, and further ensure the supply and demand balance in the business circle.

Description

Scheduling fee determination method and device and electronic equipment

Technical Field

The invention relates to the technical field of internet, in particular to a method and a device for determining scheduling fee and electronic equipment.

Background

In recent years, with the increasing pace of life, the attitudes of people towards doing housework are gradually changing. Compared with the time and labor waste of the hands of the user, more and more people can reserve the cleaning service on double-holidays or vacant time, and the cleaner is helped to clean.

In practice, the number of service merchants in a cleaning service providing platform is generally fixed, and the number of orders fluctuates at different time intervals, for example, cleaning orders are often increased dramatically during weekends and festivals. At this time, the service merchant, i.e., the cleaner, and the cleaning order are in an unbalanced state. Therefore, how to ensure the balance between the service merchant and the cleaning order, namely, the order of each user is executed by the corresponding service merchant becomes a problem to be solved urgently.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method and an apparatus for determining a scheduling fee, and an electronic device, so as to accurately screen out a user with a strong service requirement in a scheduling fee manner, and ensure a balance between supply and demand in a business circle.

In a first aspect, an embodiment of the present invention provides a method for determining a scheduling cost, including:

acquiring distributed orders of M service merchants of N to-be-distributed orders with preset time intervals between service time and current time, wherein M is greater than 1, and N is greater than 1;

for any order in the N orders to be distributed, determining a first order and a second order adjacent to the service time of the any order from distributed orders of each service merchant, wherein the service time of the first order is earlier than that of the second order;

determining a time matching score of each service merchant for any order according to the service time of any order, the first order and the second order;

determining target service merchants corresponding to the N orders to be distributed according to the M times N time matching scores of the M service merchants for the N orders to be distributed respectively;

and determining the scheduling cost of each of the N orders to be distributed according to the supply and demand information of the business circle to which the service address of each of the N orders to be distributed belongs, the service time and the service address of the distributed order of the corresponding target service merchant so as to enable the user to determine whether to trigger the payment operation.

In a second aspect, an embodiment of the present invention provides a scheduling cost determining apparatus, including:

the order acquisition module is used for acquiring the distributed orders of M service merchants of N orders to be distributed with preset time intervals between service time and current time, wherein M is more than 1, and N is more than 1;

the order determining module is used for determining a first order and a second order which are adjacent to the service time of any order from the distributed orders of each service merchant for any order in the N orders to be distributed, wherein the service time of the first order is earlier than that of the second order;

a time matching score determining module, configured to determine a time matching score of each service merchant for any one of the orders according to the service time of the any one of the orders, the first order, and the second order;

the distribution module is used for determining target service merchants corresponding to the N orders to be distributed according to the M times N time matching scores of the M service merchants for the N orders to be distributed respectively;

and the scheduling fee determining module is used for determining the scheduling fee of each of the N orders to be distributed according to the supply and demand information of the business circle to which the service address of each of the N orders to be distributed belongs, the service time and the service address of the distributed order of the corresponding target service merchant so as to enable the user to determine whether to trigger the payment operation.

In a third aspect, an embodiment of the present invention provides an electronic device, including: a memory, and a processor coupled to the memory;

the memory to store one or more computer instructions, wherein the one or more computer instructions are for the processor to invoke for execution;

the processor is configured to execute the one or more computer instructions to perform any of the above scheduling fee determination methods.

According to the scheduling fee determining method and device and the electronic equipment provided by the embodiment of the invention, the price adjusting device firstly obtains N orders to be allocated and M allocated orders of service merchants, wherein the service time and the current time interval are preset in duration. For any order in the N orders to be distributed, the price adjusting device determines a first order and a second order which are adjacent to the service time of the any order from the distributed orders of each service merchant according to the service time of the any order, namely, a pair of the first order and the second order is obtained from the distributed orders of each service merchant. And determining the time matching score of each service merchant for any order according to the first order and the second order of each service merchant and the service time of any order to be distributed. According to the above steps, the price adjustment device can actually obtain M × N time matching scores for M service merchants and N orders to be distributed. And the price adjusting device determines service merchants corresponding to the N orders to be distributed according to the M x N time matching scores. Finally, the price adjusting device determines the scheduling fee of each of the N orders to be distributed according to the supply and demand information of the business circle to which the service address of each of the N orders to be distributed belongs, the service time and the service address of the distributed order of the corresponding target service merchant, and the user can determine whether to trigger the payment operation further according to the amount of the scheduling fee.

As can be seen from the above description, the scheduling fee determining method provided by the present invention is divided into an order allocating process and a scheduling fee calculating process. In the order distribution process, namely, the orders are distributed at one time according to the matching score of each service merchant on each order to be distributed, so that the distribution effect of the N orders to be distributed can achieve the global optimum, namely the service merchant in the cleaning service providing platform has the highest overall time utilization rate. This overall time utilization may be reflected in a smaller time interval between orders to which each service merchant is assigned. For the process of calculating the scheduling fee, the price adjusting device can calculate the scheduling fee according to data of multiple dimensions. The scheduling fee calculated by utilizing the multidimensional data can indirectly and comprehensively reflect the emergency degree of the order. After the user pays the scheduling fee, the user with the stronger service requirement is accurately determined, so that the service merchant can service the user with the stronger service requirement in a targeted manner. Meanwhile, the arrangement of the scheduling fee can also improve the service enthusiasm of the service merchants, and further ensure the supply and demand balance in the business circle.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

Fig. 1 is a flowchart of a first embodiment of a scheduling fee determining method according to an embodiment of the present invention;

FIG. 2a is an alternative determination of a service willingness score;

FIG. 2b is an alternative determination of an order density score;

FIG. 2c is an alternative way of determining a quality of service score;

fig. 3 is a flowchart of a second embodiment of a scheduling fee determining method according to the present invention;

fig. 4 is a schematic structural diagram of a first dispatch fee determining apparatus according to a first embodiment of the present invention;

fig. 5 is a schematic structural diagram of a second scheduling fee determining apparatus according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a third scheduling fee determining apparatus according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to a first embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.

It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.

The method for determining the scheduling fee introduced in the background art can be applied to an housekeeping service scene, particularly a daily cleaning scene. In this scenario, the service merchant mentioned in the following embodiments is a cleaning person, the service time is time for providing cleaning service for the user by the service merchant, and the service address is an address corresponding to a place where the service merchant needs to perform cleaning service, and is usually a place where the user lives.

Based on this, fig. 1 is a flowchart of a first embodiment of the method for determining a scheduling fee according to the embodiment of the present invention, an execution subject of the method for determining a scheduling fee according to this embodiment may be a price adjusting device, and the price adjusting device may be implemented as software, or implemented as a combination of software and hardware, and the price adjusting device may be integrated in a device on the side of an order processing platform, such as a server. As shown in fig. 1, the method comprises the steps of:

s101, N to-be-distributed orders with service time and current time interval preset duration and distributed orders of M service merchants are obtained, wherein M is larger than 1, and N is larger than 1.

The user can use the user-specific version of the cleaning application to input the service time and the service address so as to complete the ordering action. The user-specific version of the cleaning application program sends the generated order to the price adjusting device, wherein the generated order is not paid yet and is in an unexecuted state certainly. Alternatively, the invoicing means may place all unexecuted orders in its own configured order pool. Then, the price adjusting device can obtain N to-be-allocated orders with a preset time interval between service time and current time and respective allocated orders of M service merchants from the unexecuted orders according to the service time.

Wherein M and N are both integers greater than 1. To ensure that N orders to be distributed can be distributed, the M service merchants are typically all registered with the cleaning service provider platform. Of course, according to actual needs, the service merchants can be part of all the service merchants with higher service quality.

The user can also select the service merchant by using the user-specific version cleaning application program, so that the price adjusting device can classify the orders based on whether the user selects the service merchant, namely, the orders of the service merchant selected from the unexecuted orders are determined as the distributed orders corresponding to the service merchant, and the orders of the unselected service merchant are determined as the orders to be distributed.

The current time is the time when the price adjusting device starts to allocate the order. In order to reduce the distribution pressure of the price adjusting device, the preset time length may be set according to the number of the orders to be distributed, and the larger the number of the orders to be distributed is, the shorter the preset time length is. Alternatively, the preset time period may be one day or several hours.

In the following, step 101 is described by way of example, the user may complete the order placing operation on day 7/month and 9, and the service time of the order placed by the user may be a time between day 7/month and 10 to day 7/month and 16. Alternatively, the pricing device may automatically allocate orders at fixed times of the day, typically at times when the user's desire to place an order is low, such as early in the morning. The price adjustment device may also be responsive to a staff-triggered dispensing operation to initiate order dispensing. If the preset time is one day, the price adjusting device may start to acquire the unexecuted orders with the service time and the current time interval of one day, that is, the service time is 7 months and 10 days at 1 point (current time) in the morning of 7 months and 9 days, and determine the N orders to be allocated and the allocated orders of the M service merchants from the unexecuted orders of 7 months and 10 days.

After obtaining N orders to be allocated, the price adjustment device may further perform the following steps 102 to 103. Since the process of each of the N to-be-distributed orders is the same when the following two steps are performed, the following steps 102 to 103 will be described by taking an order a, which is any one of the N to-be-distributed orders, as an example.

S102, for any order in the N orders to be distributed, determining a first order and a second order adjacent to the service time of the any order from the distributed orders of each service merchant.

After step 101, the invoicing apparatus may know order a and the service time of the allocated order for each of the M service merchants. At this time, for the order a, the price adjustment device may determine a pair of a first order and a second order for each service merchant, where the service time of the first order is earlier than the service time of the second order, and the three orders are sequentially ordered according to the service times: first order-order a-second order.

S103, determining the time matching score of each service merchant for any order according to the service time of any order, the first order and the second order.

Since the determination of the time match score for order A by each service merchant is the same, taking service merchant K and order A as examples, it is explained how to determine the time match score for service merchant K to order A. As is readily known, the service time of each order is a time period consisting of a service start time and a service end time, on the basis of which one alternative is to:

(1) a first time difference is calculated between the service end time of the first order of the service merchant K and the service start time of order a.

(2) A second time difference between the service end time of order A and the service time of a second order of service merchant K is calculated.

(3) And determining a time matching score according to the first time difference and the second time difference.

If the first time difference meets the preset condition, determining a first part of the time matching score, and if the second time difference meets the preset condition, determining a second part of the time matching score, optionally, the price adjusting device may directly determine the sum of the first part and the second part of the time matching score as the time matching score of the service merchant K for the order a. The first part and the second part of the time matching score may be a preset fixed score, and may be the same or different. In practical applications, the service time is generally greater than 2 hours, and the preset conditions for the first time difference and the second time difference may be the same, i.e. the time difference is less than or equal to 30 minutes or greater than 3.5 hours.

Optionally, the price-adjusting device may further set corresponding weight coefficients for the first part of the time matching score and the second part of the time matching score, and use the weight coefficient 1+ the weight coefficient 2 as the time matching score of the service merchant K for the order a. Here, the weighting factor 1 and the weighting factor 2 may be the same or different.

According to the mode, the price adjusting device can sequentially determine the time matching score of each service merchant in the M service merchants to the order A.

The time matching scores for any of the N orders to be placed by the M service merchants can actually be determined through step 103. Repeating the above steps N times, the price adjusting device can determine the time matching scores of the M service merchants to the N orders to be distributed respectively, and then M × N time matching scores are obtained.

And S104, determining target service merchants corresponding to the N orders to be distributed according to the M times N time matching scores of the M service merchants for the N orders to be distributed respectively.

Each of the M x N time matching scores corresponds to a service merchant and an order to be dispensed. At this time, in an optional manner, the hungarian algorithm may be adopted to allocate the N orders to be allocated to the respective corresponding target service merchants. Since the hungarian algorithm is a relatively mature algorithm, a specific implementation thereof will not be described in detail herein.

Alternatively, the price-adjusting device may obtain a combination of all time matching scores corresponding to the N orders to be allocated by using the M × N time matching scores, and each time matching score in each combination corresponds to a different service merchant and a different order to be allocated. Then, the price adjusting device calculates the sum of the time matching scores of each combination mode, and selects the combination mode with the highest sum of the time matching scores from all the determined combination modes as the target combination mode. And finally, distributing the N orders to be distributed to the corresponding target service providers according to the target combination mode.

For ease of understanding, the following is exemplified: assume that there are 3 orders to be allocated, order 1, order 2, and order 3, and 3 serving merchants, merchant 1, merchant 2, and merchant 3. The price adjustment device will calculate 3 x 3 time matching scores as shown in table 1 below.

TABLE 1

At this time, the combination of the time matching scores may include the following: "a 1-b 2-c 3", "a 1-c 2-b 3", "a 2-b 1-c 3", "a 2-b 3-c 1", "a 3-b 2-c 1", "a 3-b 1-c 2". If the sum of the time matching scores of the combination of "a 3-b 1-c 2" is the highest, that is, a3+ b1+ c2 is the highest, the price adjusting device sets the target service merchant in order 1 as merchant 2, the target service merchant in order 2 as merchant 3, and the target service merchant in order 3 as merchant 1.

S105, determining the scheduling cost of each of the N orders to be distributed according to the supply and demand information of the business circle to which the service address of each of the N orders to be distributed belongs, the service time and the service address of the distributed order of the corresponding target service merchant so that the user can determine whether to trigger the payment operation.

After step 104, each to-be-allocated order has been allocated to a corresponding target service merchant. Since the determination manner of the scheduling fee of each of the N orders to be allocated is the same, taking order a as an example, the determination process of the scheduling fee is described. The price adjusting device can determine the scheduling fee of the order A according to the supply and demand information of the business circle to which the service address of the order A belongs, the service time of the order A and the target service provider. For the sake of simplicity, the scheduling fee corresponding to the supply and demand information, the scheduling fee corresponding to the service time, and the scheduling fee corresponding to the target service merchant are referred to as a first scheduling fee, a second scheduling fee, and a third scheduling fee, respectively.

The first scheduling fee determination process can be described in detail as:

the price adjusting device can determine the business circle to which the service address belongs according to the service address of the order A, and then further obtain the supply and demand information of the business circle. Specifically, the city or city group to which the service address belongs has been previously divided into at least one business circle. The price adjusting device can determine the business district to which the service address belongs by utilizing business district data comprising business district boundary longitude and latitude data, center longitude and latitude data and business district name. Meanwhile, the price-adjusting device records the order information of all executed orders. Based on the order information, the price adjusting device can respectively count the supply and demand information of each business district in a preset time period. Optionally, the order information may include service time, service address, order status, etc., and the order status may include order completed, order cancelled, and order failed, etc. The supply and demand information may include an order completion rate and/or an order failure rate of the business circles within a preset time period.

For the division of the business circle, the division can be performed in units of cities or city groups, and any address in the cities or the city groups can be divided into one business circle, so that no isolated address exists.

After the price adjusting device obtains the supply and demand information of the business circle to which the service address of the order A belongs, the scheduling fee of the supply and demand dimension, namely the first scheduling fee, can be determined according to the supply and demand information.

When the supply and demand information includes the order completion rate or the order failure rate alone, the price adjustment device may directly determine the scheduling fee corresponding to the order completion rate or the scheduling fee corresponding to the order failure rate as the first scheduling fee.

When the supply and demand information includes both the order completion rate and the order failure rate, in an optional manner, the price adjustment device may directly determine the sum of the scheduling fee corresponding to the order completion rate and the scheduling fee corresponding to the order failure rate as the first scheduling fee. However, the determined first scheduling cost is high easily, and the effect of accurately screening the users with strong demand will is influenced. Therefore, another optional mode can also be adopted, in which the price adjustment device compares the scheduling fee corresponding to the order completion rate and the scheduling fee corresponding to the order failure rate, and then determines the higher value as the first scheduling fee. By adopting the second mode, not only can users with strong demand intentions be accurately screened out, but also the service enthusiasm of service merchants can be improved.

For the scheduling fee corresponding to the order completion rate, an optional manner may be to determine the scheduling fee corresponding to the order completion rate according to whether the order completion rate within the preset time period is higher than the preset rate. When the order completion rate is higher than the preset rate, determining the scheduling fee as A₁. When the order completion rate is lower than a preset rate, the scheduling fee is determined to be 0.In another alternative mode, the scheduling fee corresponding to the order completion rate may also be determined according to a degree that the order completion rate is higher than the preset rate within the preset time period. The more the order completion rate is higher than the preset rate, the higher the scheduling fee. At this time, the scheduling fee corresponding to the order success rate may be a plurality of preset fixed values.

For the scheduling fee corresponding to the order failure rate, similarly to the above, in an alternative manner, the scheduling fee corresponding to the order failure rate may be determined according to whether the order failure rate is lower than the preset rate within the preset time period. When the order failure rate is lower than the preset rate, determining the scheduling fee as B₁. When the order failure rate is higher than a preset rate, the scheduling fee is determined to be 0. In another alternative mode, the scheduling fee corresponding to the order failure rate can be determined according to the degree that the order failure rate is lower than the preset rate in the preset time period. The more the order failure rate is lower than the preset rate, the higher the scheduling fee. At this time, the scheduling fee corresponding to the order failure rate may be a plurality of preset fixed values.

The second scheduling fee determination process can be described in detail as:

after the price adjusting device obtains the service time of the order a, optionally, it may be determined whether the service time belongs to a preset time range. If the service time belongs to the preset time range, determining the second scheduling fee which is the scheduling fee of the time dimension corresponding to the service time as a preset fixed value C₁. Optionally, the preset time range may be days such as weekends or holidays when the user has a strong desire to place an order. Wherein, A is as described above₁、B₁、C₁May be equal or different. For example, the service time of the order a may be a certain time period of a certain day of a certain month of a certain year, for example, 13:00 to 15:00 of 7 month and 6 days of 2018.

The third scheduling fee determination process can be described in detail as:

after step 102, the price adjustment device has obtained a first order and a second order having service times adjacent to order A in the target service provider.

Alternatively, the third scheduling cost may be calculated using the following formula:

F＝(D₁-D₂)*f

wherein D is₁Is the distance between the service address of the first order and the service address of order A, D₂Is a preset base distance, and f is a scheduling fee base. In practical application, D₂May be 7 km and f may be 2-ary.

F＝(D₃-D₂)*f

wherein D is₃Is the distance between the service address of the second order and the service address of order A, D₂Is a preset base distance, and f is a scheduling fee base. In practical application, D₂May be 7 km and f may be 2-ary.

Based on the above three scheduling fees, in an alternative manner, the price adjustment device may directly use the sum of the first scheduling fee, the second scheduling fee and the third scheduling fee as the scheduling fee of the order a. The user can select whether to pay according to the self condition, thereby finishing the ordering operation.

In this embodiment, the method for determining the scheduling fee is divided into an order allocation process and a scheduling fee calculation process. In the order distribution process, namely, the orders are distributed at one time according to the matching score of each service merchant on each order to be distributed, so that the distribution effect of the N orders to be distributed can achieve the global optimum, namely the service merchant in the cleaning service providing platform has the highest overall time utilization rate. This overall time utilization may be reflected in a smaller time interval between orders to which each service merchant is assigned. For the process of calculating the scheduling fee, the price adjusting device can calculate the scheduling fee according to data of multiple dimensions. The scheduling fee calculated by utilizing the multidimensional data can indirectly and comprehensively reflect the emergency degree of the order. After the user pays the scheduling fee, the user with the stronger service requirement is accurately determined, so that the service merchant can service the user with the stronger service requirement in a targeted manner. Meanwhile, the arrangement of the scheduling fee can also improve the service enthusiasm of the service merchants, and further ensure the supply and demand balance in the business circle.

In the first embodiment, in the order allocation process, a score of one dimension, that is, a time matching score, is used to allocate the order to be allocated, so that the allocation effect of the order to be allocated is globally optimal. It is easy to understand that if the orders to be distributed are distributed by using the multidimensional scores, the distribution effect of the orders can be further optimized. Therefore, on the basis of the first embodiment, scores of different dimensions can be calculated by using data of different dimensions, the sum of the scores is determined as a final score, and the order to be distributed is further distributed according to the final score.

In practical applications, the multi-dimensional score may include a time matching score, a distance matching score, a willingness to service score, an order density score, a quality of service score, and the like.

Alternatively, the distance matching score may be determined in the following manner.

The description in the first embodiment is carried out, and the process of calculating the score is described by taking the order a and the service merchant K as examples. The price adjusting device can determine the distance matching score of the service merchant K to the order A according to the order A and the service addresses of the first order and the second order corresponding to the order A in the service merchant K. One alternative way is to:

(1) and acquiring the current driving speed of the service merchant K, a first distance value between the first order and the order A service address and a second distance value between the order A and the second order service address.

(2) A first portion of the distance matching score is determined based on a first time calculated from the travel speed and the first distance value.

(3) A second portion of the distance matching score is determined based on a second time calculated from the travel speed and the second distance value.

(4) A distance match score is determined based on the first portion of the distance match score and the second portion of the distance match score.

Specifically, the first part of the distance matching score is (base time-first time)/a preset parameter;

the second part of the distance matching score is (base time-first time)/preset parameter.

The basic time and the preset parameters are preset values.

Alternatively, the price adjustment means may directly determine the sum of the first and second portions of the distance matching score as the distance service score for order a by the service merchant K. The price adjustment device may further set corresponding weight coefficients for the first part of the distance matching score and the second part of the distance matching score, and calculate the distance matching score according to the weight coefficients, where a specific manner of the distance matching score is similar to that of the time matching score, and the detailed description may refer to the related description in the first embodiment, and is not repeated herein.

The higher the distance matching score, the closer the service address of order a is to the service address of the first and second orders of service merchant K. If the order A is distributed to the service merchant K, the time of the service merchant K running between different service addresses can be shortened, so that the service merchant K executes more orders in normal working time, the time utilization rate of the service merchant K is improved, and the overall time utilization rate of all service merchants is further improved.

Alternatively, the service willingness score may be determined using the steps shown in FIG. 2 a.

S201, obtaining respective serviceable areas of the M service merchants.

Optionally, the service merchant may set its own serviceable area by using the merchant-specific version of the cleaning application, or may set serviceable areas for M service merchants by the staff of the cleaning service providing platform in a unified manner, and the setting result may be stored in the cleaning service providing platform. The price adjusting device responds to the order distribution operation, and the cleaning service providing platform acquires the serviceable area of each service merchant.

S202, if the service address of any order is located in the serviceable area of any service merchant among the M service merchants, and the intervals between the service time of any order and the service time of the first order and the service time of the second order of any service merchant are smaller than the preset intervals, determining the service willingness score of any service merchant for any order.

The description will be made by taking the order a and the service merchant K as examples. The price adjusting device can determine whether such a service merchant K exists according to the obtained serviceable area of each service merchant: the serviceable area of the service merchant K includes the service address of the order a, and the intervals between the service times of the order a and the first order and the second order of the service merchant K are both smaller than a preset interval, wherein the preset interval may be 1 hour. If such a service merchant K exists, the service willingness score of the service merchant K for order A is determined. Alternatively, the service will score may be (hours-2 of order a service time) × 2.

The higher the service intent score, the higher the service merchant K is able and willing to fulfill the order A. If the order A is distributed to the service merchant K, the service merchant K can further execute more orders in normal working time, the time utilization rate of the service merchant K is improved, and meanwhile the overall time utilization rate of all service merchants can be further increased. In addition, in practical application, the number of the determined service merchants K may be one or more.

Alternatively, the order density score may be determined using the steps shown in FIG. 2 b.

S301, counting the distributed order quantity of the M service merchants.

S302, respectively determining the order density score of each service merchant according to the distributed order quantity.

After the price adjusting device obtains the respective allocated orders of the M service merchants, the price adjusting device may count the number of the allocated orders of each service merchant, and determine the score of each service merchant for the order density of the order according to the number of the allocated orders.

The description will be made by taking the order a and the service merchant K as an example. In an alternative, the order density score for order a for service merchant K is (number of orders assigned for service merchant K-2) × 3.

The higher the order density score, the more orders are assigned that indicate the service merchant K. If the order A is distributed to the service merchant K, the service merchant K can further execute more orders in normal working time, the time utilization rate of the service merchant K is improved, and meanwhile the overall time utilization rate of all service merchants can be further increased.

Alternatively, the quality of service score may be determined using the steps shown in fig. 2 c.

S401, obtaining user types of ordering users corresponding to N to-be-distributed orders and respective service quality grades of M service merchants.

After acquiring the N to-be-allocated orders, that is, after acquiring the ordering user information included in each to-be-allocated order, the price adjusting device acquires the ordering user information, where the ordering user information may include a user type, a user name, and the like of an ordering user, and the user type may include a new user and an old user. Meanwhile, the price adjusting device can also acquire the merchant information of each of the M service merchants, wherein the merchant information comprises the identity information, the serviceable area, the service quality grade and the like of the service merchants. The quality of service level may be determined based on the rating of the service merchant's historical orders.

S402, if the user type of the ordering user corresponding to any order and the service quality grade of any service merchant in the M service merchants meet preset conditions, determining the service quality score of any order by any service merchant.

The description will be made by taking the order a and the service merchant K as an example. And the price adjusting device determines whether the user type of the order placing user corresponding to the order A meets a preset condition or not according to the obtained user information and the service merchant information, and determines whether the service quality grade of the service merchant K meets the preset condition or not. And if the order A and the service merchant K both meet respective preset conditions, determining the service quality score of the service merchant K for the order A. Alternatively, the qos score may be a predetermined fixed value. The preset condition that the user type needs to be met is that the user type of the next user is a new user, and the preset condition that the service quality grade needs to be met is that the service quality grade of the service merchant is higher than the preset grade.

The purpose of setting the service quality score can ensure that the order placed by the new user can be distributed to the service merchants with higher service levels as much as possible, thereby improving the repeated order placing rate of the new user and improving the user stickiness.

After the time matching score and the plurality of scores are obtained, one score or the sum of the plurality of scores can be used as a final score, and the N orders to be distributed are distributed to the respective target service merchants according to the final score. For a specific allocation manner, reference may be made to the description in step 104 of the embodiment, and details are not described herein.

It should be noted that the present invention is not limited to the order of determining the scores.

In addition, in the first embodiment, the N orders to be distributed are directly distributed in a unified manner. In practical application, the N to-be-allocated orders may be grouped, and a group of the to-be-allocated orders is allocated as a unit, at this time, after step 101, the scheduling fee adjustment method may further include the following steps:

(1) and grouping the N orders to be distributed according to the service time of the orders to be distributed to obtain at least one order group.

After the price adjusting device obtains the N orders to be distributed, the orders may be grouped according to the service start time of the orders to obtain at least one order group.

Alternatively, the price adjustment device may group the orders to be allocated according to the service start time of the orders.

The user can input the service time in the user-specific version cleaning application program by himself, at this time, the starting time of the service time input by the user may be scattered, and the price adjusting device can divide the order to be distributed with the service starting time in a certain time period into one order group. For example, orders with the service starting time of 8: 00-8: 30 are divided into one order group, orders with the service starting time of 8: 30-9: 00 are divided into one order group, and the like.

The user can also select one of a plurality of time periods provided by the user-specific version cleaning application program as service time, at the moment, the initial service time of the order to be distributed is more uniform, and the price adjusting device can divide the order to be distributed with the same service initial time into one order group. For example, an order with a service start time of 8:00 is divided into one order group, an order with a service start time of 9:00 is divided into one order group, and so on.

Alternatively, the price adjusting device may also group the orders to be allocated according to the service start time of the orders and the service duration of the orders at the same time, that is, the orders with the same service start time and the same service duration are divided into one order group, or the orders to be allocated with the service start time in a certain time period and the same service duration are divided into one order group.

(2) And sequencing at least one order group according to the sequence of order service time in the order group.

(3) Step 102 is performed for any order in the order set in turn according to the sorting result of the order set.

Then, the price adjusting device sorts at least one order group according to the sequence of order service time, and distributes a plurality of orders to be distributed in each order group in sequence by taking the order group as a unit. The allocation process can be referred to the above embodiments, and is not described herein.

The grouping and sorting processing is added in the order distribution process in the scheduling fee determination method, so that the price adjusting device distributes orders in the current order group again on the basis of the completion of the distribution of orders in the previous order group. In this way, orders are distributed in batches, and order distribution can be more time-ordered. Meanwhile, the method is combined with the multidimensional scores for use, so that the distribution effect of the N orders to be distributed can be further improved, and the distribution effect can reach the global optimum.

In addition, for the process of calculating the scheduling cost in the method for determining the scheduling cost, in addition to the method provided in the first embodiment, optionally, the following method may be used to determine the first scheduling cost:

the supply and demand information may include the number of orders and/or supply and demand ratio of the business circles within a preset time period, in addition to the order success rate and the order failure rate mentioned in the first embodiment. The supply-demand ratio is a ratio of the number of service merchants belonging to the business circle to the number of orders in a preset time period, and the attribution relationship between the service merchants and the business circle can be preset. For a specific obtaining manner of the supply and demand information of the business circle to which the service address belongs, reference may be made to the related description in the first embodiment, and details are not described herein again.

The price adjustment device can determine the first scheduling fee according to the supply and demand information. Specifically, when the supply and demand information includes the order quantity within the preset time or the supply and demand ratio within the preset time period, the price adjustment device may directly determine the scheduling fee corresponding to the order quantity, that is, the first part of the scheduling fee or the scheduling fee corresponding to the supply and demand ratio, that is, the second part of the scheduling fee, as the first scheduling fee.

When the supply and demand information includes both the order quantity and the supply and demand ratio, in an alternative manner, the price adjustment device may directly determine the sum of the first part of the scheduling fee and the second part of the scheduling fee as the first scheduling fee. However, the first scheduling cost is easy to be higher in the mode, so that the effect of accurately screening the users with strong demand will is influenced. Therefore, in another alternative mode, the price adjustment device compares the first part of the scheduling fee with the second part of the scheduling fee, and determines the higher value of the first part of the scheduling fee and the second part of the scheduling fee as the first scheduling fee. By adopting the second mode, not only can users with strong demand intentions be accurately screened out, but also the service enthusiasm of service merchants can be improved.

For the first part of the scheduling fee, an alternative way may be to determine the first part of the scheduling fee according to whether the order number in the preset time period is higher than the preset number. When the order quantity is higher than the preset quantity, determining the first part of the scheduling fee as A₂. And when the order quantity is lower than the preset quantity, determining that the first part of the scheduling fee is 0. Alternatively, the first part of the scheduling fee may also be determined according to a degree that the number of orders in the preset time period is higher than the preset number. The more the amount of orders is higher than the preset amount, the higher the first part scheduling fee. At this time, the first partial scheduling fee may be a plurality of preset fixed values.

For the second part of the scheduling fee, an optional manner may be to determine whether the supply-demand ratio is lower than a preset value within a preset time periodA second fractional scheduling fee is determined. When the supply-demand ratio is lower than the preset value, determining the second part of the scheduling fee as B₂. And when the supply-demand ratio is higher than the preset value, determining that the second part of the scheduling fee is 0. Alternatively, the second part of the scheduling fee may also be determined according to a degree that the supply-demand ratio is lower than the preset value within the preset time period. The more the supply-demand ratio is lower than the preset value, the higher the second part scheduling fee. At this time, the second part scheduling fee may be a plurality of preset fixed values.

Optionally, the second scheduling cost may also be determined in the following manner:

after the user inputs the service time, the price adjusting device can determine the time range corresponding to the service time, and the time range is the date corresponding to the service time. If the date is a holiday or holiday, the price-adjusting device determines a preset fixed value C₂A fee is scheduled for the third portion.

Meanwhile, the price adjusting device records the input time for generating the input operation while using the input service time, and calculates the time difference between the input time and the service time. This time difference is used to indicate the urgency of the user's service requirements, with smaller time differences indicating more urgency of the service. Alternatively, the price adjustment means may determine the fourth part of the scheduling fee according to a time difference between the input time and the service time. And if the time difference is smaller than the preset time value, determining that the fourth part of the scheduling fee is the preset value D. Wherein, A is as described above₂、B₂、C₂And D may be equal or different, respectively. Alternatively, the price adjustment device may determine the fourth part of the scheduling fee according to a degree that the time difference is smaller than the preset time value. The higher the degree to which the time difference is smaller than the preset time value, the higher the fourth part scheduling fee. At this time, the fourth partial scheduling fee may be a plurality of preset fixed values.

Based on the third portion of the scheduling fee and the fourth portion of the scheduling fee, the price adjustment device may further determine a second scheduling fee. Alternatively, the price adjustment device may directly determine the sum of the third part of the scheduling fee and the fourth part of the scheduling fee as the second scheduling fee. Alternatively, the second scheduling fee may be determined as the value with the larger value.

Optionally, the third scheduling cost may also be determined in the following manner:

taking order a as an example, a first order and a second order with service time adjacent to order a in the target service provider have been obtained, via step 102. And the price adjusting device calculates a third scheduling fee of the target service merchant corresponding to the order A according to the following formula.

F＝[(d₁+d₂)/2-d₃]*f

Wherein d is₁And d₂Distance between the service address of order A and the service address of the first order and the service address of the second order, d₃F is a scheduling fee base number for the preset base distance. In practical application, d₃May be 7 km and f may be 2-ary.

After obtaining the three scheduling fees, the price adjustment device may directly use the sum of the three scheduling fees as the scheduling fee of the order, as in the first embodiment. The arrangement of the scheduling fee aims to accurately screen out the users with stronger service demand willingness and improve the service enthusiasm of the service merchants. In this case, if the sum of the three scheduling fees is directly used as the scheduling fee of the order, the scheduling fee is too high, which is not favorable for improving the service enthusiasm of the service merchant.

Therefore, in another alternative mode, the price adjustment device may further compare the third scheduling fee with the sum of the first scheduling fee and the second scheduling fee, and determine the scheduling fee with a larger value as the scheduling fee of the order.

Specifically, if the third scheduling fee is not lower than the sum of the first scheduling fee and the second scheduling fee, the third scheduling fee is determined as the scheduling fee of the order. And if the third scheduling fee is lower than the sum of the first scheduling fee and the second scheduling fee, determining the sum of the first scheduling fee and the second scheduling fee as the scheduling fee of the order.

In practical applications, in addition to the above three scheduling fees, the fourth scheduling fee may be determined in the following manner: and determining a fourth scheduling fee corresponding to the service frequency in response to the selection operation of the user on the service frequency.

The user may select the frequency of service using an interface provided by the user-specific version of the cleaning application, where the frequency of service may be null or some other predetermined frequency, such as once a week, N times a week, N weeks, etc. When the service frequency selected by the user is null, the resulting order is referred to as a single order, and such an order corresponds to a sudden, irregular service demand of the user. When the frequency of service selected by the user is not null, the resulting order is referred to as a periodic order, which corresponds to the user's long-term, regular service needs.

Optionally, for different service frequencies, the price adjustment device may preset corresponding scheduling fees, and the scheduling fees corresponding to the service frequencies may be collectively referred to as a fourth scheduling fee. In practical application, a common setting manner may be to set the fourth scheduling fee corresponding to the service frequency being null to E, and set the fourth scheduling fees corresponding to the other service frequencies to 0.

At this time, the price adjusting device obtains four scheduling fees, and in an optional manner, the sum of the four scheduling fees can be directly used as the scheduling fee of the order. Because the third scheduling fee is most closely related to the service merchant, in order to avoid the influence of too high scheduling fee on the screening of users with strong service requirements and improve the enthusiasm of the service of the merchant, the sum of the first scheduling fee, the second scheduling fee and the fourth scheduling fee is calculated in another optional mode, the sum of the three scheduling fees is compared with the third scheduling fee, and the scheduling fee with the larger value of the sum of the three scheduling fees is determined as the scheduling fee of the order.

In addition, the price adjusting device may further have a minimum dispatching fee, and when the dispatching fee determined by the price adjusting device according to the steps in the foregoing embodiments is less than the minimum dispatching fee, the price adjusting device determines the sum of the minimum dispatching fee and the basic amount as the adjusted price.

After the steps, the user can trigger the payment operation to complete the ordering operation, and then can wait for the service merchant to service the service merchant. However, in practical applications, there may be a case where the target service merchant rejects the service due to subjective or objective reasons, in this case, fig. 3 is a flowchart of a second embodiment of the method for determining the dispatch fee according to an embodiment of the present invention, as shown in fig. 3, after step 105, the method further includes the following steps:

s501, responding to the service rejection operation triggered by the target service merchant corresponding to any order, and re-determining the target service merchant of the order.

S502, re-determining the third scheduling fee according to the service address and the re-determined service address of the unserviced order of the target service merchant.

The service merchant may trigger a denial of service operation using an interface provided by the service merchant-specific version of the cleaning application, which may send a denial of service message to the invoicing apparatus, the message including merchant information for the service merchant that triggered the denial of service operation. The price adjustment device, after receiving the message, will re-determine the target service merchant for the user and re-determine the third scheduling fee. The manner of re-determining the target service merchant and the third scheduling fee may refer to the related description in the above embodiments, and is not described herein again.

And for the re-determined third scheduling fee, it is highly likely that a case is not equal to the original third scheduling fee. At this time, optionally, if the re-determined third scheduling fee is higher than the original third scheduling fee, the price adjustment means may optionally notify the user to pay the difference between the re-determined third scheduling fee and the original third scheduling fee. Of course, this difference may also be paid by the cleaning application developer. And if the redetermined third scheduling fee is lower than the original third scheduling fee, returning the difference to the account of the user.

In this embodiment, when the target service merchant of the order rejects the service, the price adjustment device may re-determine the target service merchant and the scheduling fee for the order, so as to ensure that the cleaning order placed by the user is always served by the service merchant.

It should be noted that, in the above scheduling fee determining method, N orders to be allocated are allocated at one time, and then the respective scheduling fees of the N orders to be allocated are calculated. In this case, the pricing means may obtain a first total scheduling fee. After that, in practical application, the price adjusting device may also allocate the N orders to be allocated in another way, i.e. one by one. The process of one-to-one distribution is as follows: and calculating the score of each of the M service merchants for any order according to any order and the first order and the second order of each service merchant for any order, and directly distributing any order to the service merchant with the highest score, wherein the score can comprise various scores mentioned in the above embodiment. Repeating the above process N times can allocate N orders to be allocated. And a second total scheduling fee can be calculated based on the distribution result, the final price adjusting device selects an order distribution mode with lower total scheduling fee as a final order distribution mode, and the service merchant can execute the order according to the distribution result so as to ensure that the user pays less scheduling fee.

Fig. 4 is a schematic structural diagram of a first embodiment of a method and device for determining a scheduling fee according to an embodiment of the present invention, as shown in fig. 4, the method and device for determining a scheduling fee include: an order acquisition module 11, an order determination module 12, a time matching score determination module 13, an allocation module 14, and a dispatch fee determination module 15.

The order obtaining module 11 is configured to obtain distributed orders of M service merchants of the N to-be-distributed orders at a preset time interval between the service time and the current time, where M is greater than 1, and N is greater than 1.

And the order determining module 12 is configured to determine, for any order of the N orders to be allocated, a first order and a second order adjacent to a service time of any order from the allocated orders of each service merchant, where the service time of the first order is earlier than that of the second order.

And the time matching score determining module 13 is used for determining the time matching score of each service merchant for any order according to the service time of any order, the first order and the second order.

And the distribution module 14 is configured to determine target service merchants corresponding to the N to-be-distributed orders according to M × N time matching scores of the M service merchants for the N to-be-distributed orders, respectively.

The scheduling fee determining module 15 is configured to determine, according to the supply and demand information of the business circle to which the service address of each of the N to-be-allocated orders belongs, the service time, and the service address of the allocated order of the corresponding target service merchant, a scheduling fee of each of the N to-be-allocated orders, so that the user determines whether to trigger the payment operation.

The apparatus shown in fig. 4 can perform the method of the embodiment shown in fig. 1, and reference may be made to the related description of the embodiment shown in fig. 1 for a part of this embodiment that is not described in detail. The implementation process and technical effect of the technical solution refer to the description in the embodiment shown in fig. 1, and are not described herein again.

Fig. 5 is a schematic structural diagram of a second embodiment of a scheduling fee determining apparatus according to an embodiment of the present invention, and as shown in fig. 5, on the basis of the embodiment shown in fig. 4, the scheduling fee determining apparatus further includes: a distance matching score determination module 21 and a calculation module 22.

And the distance matching score determining module 21 is configured to determine a distance matching score of each service merchant for any order according to the service addresses of any order, the first order and the second order.

And the calculating module 22 is used for calculating the final score of each service merchant for any order according to the distance matching score and the time matching score of each service merchant for any order.

And the distribution module 14 is configured to determine, according to M × N final scores of the M service merchants for the N to-be-distributed orders, target service merchants corresponding to the N to-be-distributed orders.

Optionally, the scheduling fee determining apparatus further includes: a region acquisition module 31 and a service intention score determination module 32.

And the area acquisition module 31 is configured to acquire respective serviceable areas of the M service merchants.

And the service intention score determining module 32 is configured to determine a service intention score of any order by any service merchant if the service address of any order is in a serviceable area of any service merchant among the M service merchants, and intervals between service times of any order and the first order and the second order of any service merchant are smaller than a preset interval.

And the calculating module 22 is used for calculating the final score of any order by any service merchant according to the preset service willingness score and the time matching score of any service merchant for any order.

Optionally, the scheduling fee determining apparatus further includes: a statistics module 41 and an order density score determination module 42.

And the counting module 41 is configured to count the number of allocated orders of the M service merchants.

And an order density score determination module 42, configured to determine an order density score for each service merchant according to the allocated order quantity.

And the calculating module 22 is used for calculating the final score of each service merchant for any order according to the time matching score and the order density score of each service merchant for any order.

Optionally, the scheduling fee determining apparatus further includes: an information acquisition module 51 and a quality of service score determination module 52.

The information obtaining module 51 is configured to obtain user types of ordering users corresponding to the N to-be-allocated orders and respective service quality levels of the M service merchants.

And the service quality score determining module 52 is configured to determine a service quality score of any order by any service merchant if the user type of the order placing user corresponding to any order and the service quality level of any service merchant among the M service merchants meet preset conditions.

And the calculating module 22 is used for calculating the final score of any order by any service merchant according to the time matching score and the service quality score of any service merchant for any order.

Optionally, the allocating module 14 in the scheduling fee determining device specifically includes: an acquisition unit 141, a combination mode determination unit 142 and a target service merchant determination unit 143.

The obtaining unit 141 obtains all final score combination modes corresponding to the N orders to be distributed according to M × N final scores of the N orders to be distributed by the M service merchants.

A combination method determining unit 142 for determining a target final score combination method in which the sum of the final scores is the largest among all the final score combination methods.

And the target service merchant determining unit 143 is configured to determine, according to the target final score combination manner, target service merchants corresponding to the N orders to be distributed.

Optionally, the scheduling fee determining apparatus further includes: a grouping module 61 and a sorting module 62.

And the grouping module 61 is configured to group the N orders to be distributed according to the service time of the orders to be distributed, so as to obtain at least one order group.

And the sequencing module 62 is used for sequencing at least one order group according to the sequence of the order service time in the order group.

And the order determining module 12 is used for sequentially executing the step of determining a first order and a second order which are adjacent to the service time of any order from the distributed orders of each service merchant for any order in the order group according to the sequencing result of the order group.

The apparatus shown in fig. 5 can perform the method of the embodiment shown in fig. 2a to 2c, and the related description of the embodiment shown in fig. 2a to 2c can be referred to for the part not described in detail in this embodiment. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 2a to fig. 2c, and are not described herein again.

Fig. 6 is a schematic structural diagram of a third embodiment of a scheduling fee determining apparatus according to an embodiment of the present invention, as shown in fig. 6, based on the embodiment shown in fig. 5, a scheduling fee determining module 15 in the scheduling fee determining apparatus includes:

the first determining unit 151 is configured to determine a first scheduling fee according to the supply and demand information of the business circle to which the service address belongs, which is input by the user.

A second determining unit 152, configured to determine a second scheduling fee according to the service time input by the user.

And a third determining unit 153, configured to determine a third scheduling fee according to the service address and the service address of the unserviced order of the target service merchant.

A calculating unit 154 for determining a scheduling fee for any order based on the first scheduling fee, the second scheduling fee and the third scheduling fee.

Optionally, the supply and demand information includes an order quantity and/or a supply and demand ratio of a business circle in a preset time period, and the first determining unit 151 in the scheduling fee determining apparatus is specifically configured to: determining a first part of the first scheduling fee according to the order number of the trade circle in the preset time period, and determining a second part of the first scheduling fee according to the supply-demand ratio of the trade circle in the preset time period.

Optionally, the second determining unit 152 in the scheduling cost determining method apparatus is specifically configured to: determining a third part of scheduling fee according to a time range corresponding to the service time, determining a fourth part of scheduling fee according to a time difference between the input time of the service time and the service time, and determining a second scheduling fee according to the third part of scheduling fee and the fourth part of scheduling fee.

Optionally, the third determining unit 153 in the scheduling fee determining apparatus is specifically configured to: calculating a third royalty for the target service merchant using the following formula:

F＝[(d₁+d₂)/2-d₃]*f

wherein d is₁And d₂Respectively the distance between the service address of any order and the service address of the first order and the distance between the service address of the second order, wherein the first order and the second order are respectively the first order and the second order corresponding to any order in the distributed orders of the target service merchants corresponding to any order, and d₃Is a predetermined baseThe base distance, f, is the dispatch fee base.

Optionally, the scheduling fee determining module 15 in the scheduling fee determining apparatus is specifically configured to:

if the third scheduling fee is not lower than the sum of the first scheduling fee and the second scheduling fee, determining the third scheduling fee as the scheduling fee of any order; and if the third scheduling fee is lower than the sum of the first scheduling fee and the second scheduling fee, determining the sum of the first scheduling fee and the second scheduling fee as the scheduling fee of any order.

Optionally, the scheduling fee determining apparatus further includes: a fourth determination unit 155.

A fourth determining unit 155, configured to determine a fourth scheduling fee corresponding to the service frequency in response to a user's selection operation of the service frequency.

A calculating unit 154, configured to determine a scheduling fee for any order according to the first scheduling fee, the second scheduling fee, the third scheduling fee and the fourth scheduling fee.

Optionally, the third determining unit 153 in the scheduling fee determining apparatus is specifically configured to:

responding to a service rejection operation triggered by a target service merchant corresponding to any order, and re-determining the target service merchant corresponding to any order; and re-determining the third scheduling fee according to the service address and the re-determined service address of the distributed order of the target service merchant.

The apparatus shown in fig. 6 can perform the method of the embodiment shown in fig. 2a to 3, and the related description of the embodiment shown in fig. 2a to 3 can be referred to for the part not described in detail in this embodiment. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 2a to fig. 3, and are not described herein again.

The internal functions and structure of the royalty determination means are described above, and in one possible design, the structure of the royalty determination means may be implemented as an electronic device, such as a server. Fig. 7 is a schematic structural diagram of an electronic device according to a first embodiment of the present invention, and as shown in fig. 7, the electronic device includes: a memory 71, and a processor 72 connected to the memory, the memory 71 being used for storing a program for the electronic device to execute the method for determining a dispatch fee provided in any of the above embodiments, the processor 72 being configured for executing the program stored in the memory 71.

The program comprises one or more computer instructions which, when executed by the processor 72, are capable of performing the steps of:

for any order in the N orders to be distributed, determining a first order and a second order adjacent to the service time of any order from the distributed orders of each service merchant, wherein the service time of the first order is earlier than that of the second order;

determining the time matching score of each service merchant for any order according to the service time of any order, the first order and the second order;

determining target service merchants corresponding to the N orders to be distributed according to M x N time matching scores of the M service merchants for the N orders to be distributed respectively;

Optionally, the processor 72 is further configured to perform all or some of the method steps described above.

The electronic device may further include a communication interface 73 for communicating with other devices or a communication network.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above technical solutions may be embodied in the form of a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., which includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods according to the various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method for determining a dispatch fee, comprising:

2. The method of claim 1, further comprising:

determining a distance matching score of each service merchant for any order according to the service addresses of the any order, the first order and the second order;

calculating the final score of each service merchant for any order according to the distance matching score and the time matching score of each service merchant for any order;

determining, according to the M × N time matching scores of the M service merchants for the N to-be-distributed orders, target service merchants corresponding to the N to-be-distributed orders, respectively, including:

and determining target service merchants corresponding to the N orders to be distributed according to the M x N final scores of the M service merchants to the N orders to be distributed respectively.

3. The method of claim 1, further comprising:

acquiring respective serviceable areas of the M service merchants;

if the service address of any order is in the serviceable area of any service merchant in the M service merchants and the intervals between the service time of any order and the service time of the first order and the service time of the second order of any service merchant are smaller than the preset interval, determining the service willingness score of any service merchant for any order;

calculating a final score of any order by any service merchant according to a preset service willingness score and a time matching score of any service merchant for any order;

4. The method of claim 1, further comprising:

counting the distributed order quantity of the M service merchants;

respectively determining the order density score of each service merchant according to the distributed order quantity;

calculating the final score of each service merchant for any order according to the time matching score and the order density score of each service merchant for any order;

5. The method of claim 1, further comprising:

acquiring user types of ordering users corresponding to the N orders to be distributed and respective service quality grades of the M service merchants;

if the user type of the ordering user corresponding to any order and the service quality grade of any service merchant in the M service merchants meet preset conditions, determining the service quality score of any service merchant for any order;

calculating the final score of any service merchant for any order according to the time matching score and the service quality score of any service merchant for any order;

6. The method according to any one of claims 2 to 5, wherein the determining the target service merchant corresponding to each of the N orders to be distributed according to the M x N final scores of the M service merchants for the N orders to be distributed respectively comprises:

acquiring all final score combination modes corresponding to the N orders to be distributed according to M x N final scores of the M service merchants for the N orders to be distributed respectively;

determining a target final score combination mode with the maximum sum of final scores in all the final score combination modes;

and determining the target service merchants corresponding to the N orders to be distributed according to the target final score combination mode.

7. The method according to any one of claims 1 to 5, wherein after acquiring the N to-be-allocated orders of which the service time is separated from the current time by a preset time length and the allocated orders of the M service merchants, the method further comprises:

grouping the N orders to be distributed according to the service time of the orders to be distributed to obtain at least one order group;

sequencing the at least one order group according to the sequence of order service time in the order group;

and according to the sequencing result of the order group, sequentially executing the step of determining a first order and a second order adjacent to the service time of any order from the distributed orders of each service merchant for any order in the order group.

8. The method according to claim 6, wherein the determining the scheduling fee of each of the N orders to be distributed according to the supply and demand information of the business circle to which the service address of each of the N orders to be distributed belongs, the service time, and the service address of the distributed order of the corresponding target service merchant comprises:

for any order in the N orders to be distributed, determining a first scheduling fee according to the supply and demand information of a business circle to which a service address of the order belongs;

determining a second scheduling fee according to the service time of any order;

determining a third scheduling fee according to the service address and the service address of the distributed order of the target service merchant corresponding to the any order;

and determining the scheduling fee of any order according to the first scheduling fee, the second scheduling fee and the third scheduling fee.

9. The method of claim 8, wherein determining a third dispatch fee based on the service address and the service address of the assigned order of the target service merchant to which the order corresponds comprises:

calculating a third royalty for the target service merchant using the formula:

F＝[(d₁+d₂)/2-d₃]*f

wherein d is₁And d₂The distance between the service address of any order and the service address of a first order and the distance between the service addresses of a second order are respectively, and the first order and the second order are respectively target service providers corresponding to any orderA first order and a second order corresponding to said any one of the assigned orders of the home, d₃F is a scheduling fee base number for the preset base distance.

10. The method of claim 8, wherein said determining a scheduling fee for said any order based on said first scheduling fee, said second scheduling fee, and said third scheduling fee comprises:

if the third scheduling fee is not lower than the sum of the first scheduling fee and the second scheduling fee, determining the third scheduling fee to be the scheduling fee of any order;

and if the third scheduling fee is lower than the sum of the first scheduling fee and the second scheduling fee, determining that the sum of the first scheduling fee and the second scheduling fee is the scheduling fee of any order.

11. The method of claim 8, further comprising:

determining a fourth scheduling fee of any order according to the service frequency in any order;

determining the dispatch fee of any order according to the first dispatch fee, the second dispatch fee and the third dispatch fee comprises:

and determining the scheduling fee of any order according to the first scheduling fee, the second scheduling fee, the third scheduling fee and the fourth scheduling fee.

12. The method according to any one of claims 8 to 11, further comprising:

responding to a service rejection operation triggered by the target service merchant corresponding to the any order, and re-determining the target service merchant corresponding to the any order;

and re-determining the third scheduling fee according to the service address and the re-determined service address of the distributed order of the target service merchant.

13. A dispatch fee determination apparatus, comprising:

14. An electronic device, comprising: a memory, and a processor coupled to the memory;

the processor, configured to execute the one or more computer instructions to implement the dispatch fee determination method of any of claims 1-12.