CN115545837A - Order processing method, device, storage medium and equipment - Google Patents
Order processing method, device, storage medium and equipment Download PDFInfo
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- CN115545837A CN115545837A CN202211244249.8A CN202211244249A CN115545837A CN 115545837 A CN115545837 A CN 115545837A CN 202211244249 A CN202211244249 A CN 202211244249A CN 115545837 A CN115545837 A CN 115545837A
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Abstract
The embodiment of the application provides an order processing method, an order processing device, a storage medium and equipment, wherein in the method, the score of each order in an order grabbing pool is determined by taking the time length of the order entering the order grabbing pool and the reward of the order as scoring indexes, when a target client side successfully grabs the order, the order to be grazed is sequenced according to the score of the order to be grazed in the order grabbing pool and the correlation degree between the order to be grazed and the order to be grazed, and then the target order is screened out based on the sequencing result and recommended to the target client side. Therefore, the service personnel can quickly select the order suitable for the service personnel, the time cost of the service personnel is effectively saved, meanwhile, some orders which are not easy to notice can be digested, and the customer satisfaction is improved.
Description
Technical Field
The application relates to the technical field of financial science and technology and data processing, in particular to an order processing method, an order processing device, a storage medium and order processing equipment.
Background
With the continuous development of internet technology, a lot of services based on the internet are generated, such as instant delivery service, express delivery service and the like. The distribution of most orders of the services generally adopts an order grabbing mode, namely, a platform sets an order grabbing pool, and places the generated orders in the order grabbing pool, so that service personnel can grab the orders independently to increase the selection right and the participation sense of the service personnel.
For the orders in the order grabbing pool, in the related art, the service personnel usually select the orders in the order grabbing pool manually, so that the service personnel needs to spend much time and cost to find the orders suitable for the service personnel, and meanwhile, some orders are not easy to notice, so that the corresponding customers have no service for a long time.
Disclosure of Invention
An object of the embodiments of the present application is to provide an order processing method, an order processing apparatus, a storage medium, and a device, which are used to solve the problems that in the related art, a service person needs to spend more time and cost to find a suitable order, and a part of orders are easily overlooked.
In a first aspect, an order processing method provided in an embodiment of the present application includes:
obtaining the value of each order in the order grabbing pool; the score for each order is determined based at least on the length of time the order entered the order pool and the reward for completing the order;
when the target client-side successfully performs order grabbing, sequencing the orders to be grabbed according to the value of the orders to be grabbed in the order grabbing pool and the correlation degree between the orders to be grabbed and the orders to be grabbed;
and acquiring a target order from the orders to be preempted based on the sequencing result, and recommending the target order to the target client.
In the implementation process, the time length of the order entering the order grabbing pool and the reward of completing the order are used as scoring indexes, the score of each order in the order grabbing pool is determined, when the target client side successfully grabs the order, the order to be grazed is ranked according to the score of the order to be grazed in the order grabbing pool and the association degree between the order to be grazed and the order to be grazed, and then the target order is screened out based on the ranking result and recommended to the target client side. Therefore, the service personnel can quickly select the orders suitable for the service personnel, the time cost of the service personnel is effectively saved, meanwhile, some orders which are not easy to notice can be digested, and the customer satisfaction is improved.
Further, in some embodiments, the score for each order is determined based on the length of time the order entered the fill pool, the payment to complete the order, and the rate of overreview for the order, which is determined based on the business category to which the order belongs.
In the implementation process, the over-review rate of the order is also used as an index coefficient for evaluating the score of the order, so that the score can reflect the value of the corresponding order more accurately.
Further, in some embodiments, the score of each order is directly proportional to the reward for completing the order, the rate of overreview of the order, and inversely proportional to the length of time the order entered the order grabbing pool.
In the implementation process, a specific way for calculating the score is provided, so that the calculated score can reflect the possible probability of taking the corresponding order by the service personnel from another angle.
Further, in some embodiments, the sorting the orders to be preempted according to the score of the orders to be preempted in the order pool and the degree of association between the orders to be preempted and the orders to be preempted includes:
determining the order to be preempted, which has a preset distance from the address corresponding to the order to be preempted, as a candidate order to be preempted;
and sequencing the candidate orders to be preempted according to the scores, wherein the sequence of the rest orders to be preempted is arranged behind the sequence of the candidate orders to be preempted.
In the implementation process, the order sorted in the front has higher carrying value and is close to the current successful order grabbing distance of the target client, so that the high probability can meet the requirements of the user of the target client.
Further, in some embodiments, the obtaining a target order from the to-be-preempted orders based on the sorting result includes:
and determining the order to be preempted in the sequence before the preset sequence in the sequencing result as the target order.
In the implementation process, an implementation mode for obtaining the target order is provided.
Further, in some embodiments, the recommending the target order to the target client includes:
and sending the order information of the target order to the target client side in a popup window mode.
In the implementation process, through popup recommendation, a user of the target client can refer to order information displayed on the popup to perform order grabbing operation, so that the user can quickly take an order suitable for the user.
Further, in some embodiments, the method further comprises:
and periodically updating the score of each order in the order grabbing pool.
In the implementation process, the accuracy of the evaluated order score is improved by periodically updating the score.
In a second aspect, an order processing apparatus provided in an embodiment of the present application includes:
the acquisition module is used for acquiring the score of each order in the order grabbing pool; the score for each order is determined based at least on a length of time the order entered the order pool and a reward for completing the order;
the ordering module is used for ordering the orders to be preempted according to the score of the orders to be preempted in the order preemption pool and the correlation degree between the orders to be preempted and the orders to be preempted when the target client-side successfully preempts the orders;
and the recommending module is used for acquiring the target order from the orders to be preempted based on the sequencing result and recommending the target order to the target client.
In a third aspect, an embodiment of the present application provides an electronic device, including: memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any of the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, cause the computer to perform the method according to any one of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product, which when run on a computer causes the computer to perform the method according to any one of the first aspect.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the above-described techniques.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of an order processing method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a workflow of an order processing scheme based on multidimensional indexes according to an embodiment of the present application;
fig. 3 is a block diagram of an order processing apparatus according to an embodiment of the present application;
fig. 4 is a block diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
As described in the background art, the order allocation scheme of the related art has a problem that it needs to consume much time and cost for service personnel to find a suitable order, and it is easy to cause that some orders are ignored. Based on this, the embodiment of the present application provides an order processing scheme to solve the above problem.
Next, embodiments of the present application will be described:
as shown in fig. 1, fig. 1 is a flowchart of an order processing method provided in this embodiment, where the method may be applied to a server of a service platform. The business platform can be a business platform, the business platform is designed for business personnel and business management personnel of enterprises, and functions of business evaluation, business establishment, business execution, order execution condition tracking after business establishment is finished and the like are provided. The business is the source of the order, for example, in a banking scenario, the business platform may obtain potential customers transacted by credit card business from the bank card customers according to basic information, network behaviors and the like of the bank card customers, so as to discover the business and further create an order of the home service customer. Of course, the service platform may also be a take-out platform, a logistics platform, an e-commerce platform, and the like, and correspondingly, the order in the service platform may be an order for providing delivery service to the customer.
The method comprises the following steps:
in step 101, obtaining the score of each order in the order grabbing pool; the score for each order is determined based at least on the length of time the order entered the order pool and the reward for completing the order;
the order mentioned in the step can be an order corresponding to a commodity distribution task, and the distributed commodity types can be diversified, such as catering takeoffs, medical and electronic commerce, fresh fruits and the like; alternatively, the order may be an order corresponding to a home service, such as home installation furniture, home appliance maintenance, and the like. Correspondingly, the service personnel taking the order may be a clerk, a technician, or a distributor, among others. This is not limited by the present application.
The embodiment calculates a score for the order entering the order grabbing pool. The score of each order is determined at least based on the time length of the order entering the order taking pool and the reward for completing the order, wherein the time length of the order entering the order taking pool is the time interval between the time of the order entering the order taking pool and the current time, and the unit of the time interval can be day, hour, minute and the like; the reward for completing the order refers to performance point compensation available to the attendant for completing the order, and the like. Both of these indicators are information that the service personnel are interested in taking the order. That is, the score of the order is generated according to the time length of the order entering the order taking pool and the performance compensation of the order, so that the generated score can accurately reflect the value of the order.
In some embodiments, the score for each order may be determined based on the length of time the order entered the order pool, the consideration to complete the order, and the over-review rate of the order, which is determined according to the business category to which the order belongs. In practical applications, the business opportunity manager sets an over-rating for each project to represent a ratio value of the project passing the approval, and the over-rating corresponding to different projects may be different. The over-examination rate of the order is used as an index coefficient for evaluating the score of the order, so that the value of the corresponding order can be more accurately reflected by the score.
Further, in some embodiments, the score of each order may be directly proportional to the reward for completing the order, the rate of overreview of the order, and inversely proportional to the length of time the order entered the order grabbing pool, respectively. Tests show that the shorter the time length of the order entering the order grabbing pool is, the higher the possibility of the service personnel carrying the order is; the higher the performance compensation of the order, the higher the probability that the order will be taken by the service personnel; the higher the rate of over-review of an order, the higher the likelihood that the order will be taken by the service person. Therefore, the time length of the order entering the order grabbing pool, the payment for completing the order and the over-examination rate of the order are sequentially expressed as X 1 、X 2 And X 3 Then, the score Y of the order is calculated based on the following formula: y = X 1 ×X 2 /X 3 In this manner, the calculated score is made to reflect the likely probability of the attendant taking the corresponding order from another perspective. Of course, in other embodimentsThe score may also be calculated based on other calculation methods, which is not limited in this application.
In addition, the scores of the orders in the order-taking pool can be updated periodically, considering that the orders in the order-taking pool change frequently. The period may be 2 hours, 6 hours, or 1 day, etc. The server can add a new task to carry out batch processing on the orders in the order pool so as to realize the daily updating of the score, so that the score of the orders which newly enter the order pool can be evaluated, and the original score of the orders which have entered the order pool for a period of time and have not been accepted by people can be updated. Thus, the accuracy of the evaluated order score is improved.
In step 102, when the target client terminal successfully preempts orders, the orders to be preempted are sorted according to the score of the orders to be preempted in the order preemption pool and the degree of correlation between the orders to be preempted and the orders to be preempted;
the target client mentioned in this step may refer to a client provided by the service platform to the service staff to help the service staff to take the order. The orders in the order grabbing pool are generally sorted according to the distance between the address corresponding to the order and the current client, and then displayed to the current client. However, in practical applications, it is often the case that service personnel are unwilling to take over nearby orders, resulting in a low order pickup rate. In the embodiment, when the service personnel finishes one order in the order taking pool, the order to be taken is sequenced according to the score of the order to be taken in the order taking pool and the correlation degree between each order to be taken and the order to be taken, so that the sequencing result reflects the value of each order to be taken and the correlation degree between each order to be taken and the order currently taken by the service personnel, and a foundation is laid for providing high-quality recommendation for the service personnel subsequently.
The degree of association between the pending order and the preempted order may be embodied in the address distance, and in some embodiments, this step may include: determining the order to be preempted, which is a preset distance away from the address corresponding to the order to be preempted, as a candidate order to be preempted; and sequencing the candidate orders to be preempted according to the scores, wherein the sequence of the rest orders to be preempted is arranged behind the sequence of the candidate orders to be preempted. Taking the preset distance of 5 kilometers as an example, when the target client terminal successfully performs order grabbing, the server can determine the orders to be grabbed within the address range of 5 kilometers of the orders to be grabbed as candidate orders to be grabbed, then sort the candidate orders to be grabbed according to respective scores, and simultaneously, in the sorting process, the order of the candidate orders to be grabbed is arranged before the order of the other orders to be grabbed. Therefore, the order sorted in the front has higher carrying value and is close to the current successful order grabbing distance of the target client, so that the high probability can meet the requirements of the user of the target client. It should be noted that the aforementioned 5 km is only an example, and the value of the preset distance may be set according to the requirements of a specific scene, which is not limited in this embodiment; moreover, considering that the order quantity in the order grabbing pool is large, in order to reduce the computational overhead required by sorting, the server may only sort the candidate orders to be grabbed, and for the remaining orders to be grabbed, the orders may not be sorted, or may be sorted directly according to respective scores or order creation time, etc.
In addition, the degree of association between the order to be preempted and the preempted order can also be reflected in other aspects, such as the business class to which the order belongs, the requirement of the order, and the like. Correspondingly, the specific sorting mode can also be different according to the requirements of different scenes, for example, when the association degree is only reflected in the service class to which the order belongs, the order to be preempted, which belongs to the same service class as the order to be preempted, can be determined as a candidate order to be preempted, and then all the candidate orders to be preempted are sorted according to the score; when the association degree is embodied in the aspects of geographic distance and the service category to which the order belongs, the order to be preempted, which is a preset distance away from the address corresponding to the order to be preempted, can be determined as a candidate order to be preempted, then different weight coefficients are respectively multiplied for the candidate order to be preempted according to whether the order to be preempted belongs to the same service category or not on the basis of the original score, and then the candidate orders to be preempted are sorted according to the adjusted score.
In step 103, a target order is obtained from the orders to be preempted based on the sorting result, and the target order is recommended to the target client.
After the orders to be preempted in the order pool are sorted according to the scores and the degree of correlation between the scores and the preempted orders, a plurality of orders to be preempted are selected as target orders based on a sorting result and are recommended to a target client, and the target orders have good advantages in both the bearing value and the current willingness of a user of the target client to bear the orders, so that high-quality recommendation can be provided for service personnel, and the order-taking rate of the service personnel is improved; in addition, in another aspect, the recommended orders are determined based on multiple dimensions, some orders which are not easy to notice can be effectively eliminated, for example, some orders which are not short in duration but high in performance salary enter the order grabbing pool, and therefore the condition that the customer is out of service for a long time is reduced, service personnel are helped to improve service quality, and customer satisfaction is improved.
In some embodiments, this step may include: and determining the order to be preempted in the sequence before the preset sequence in the sequencing result as the target order. Alternatively, the preset order may be the 6 th bit. That is, the five orders ranked in the top five may be determined as the target orders. Of course, in other embodiments, the predetermined sequence may be set to other values.
After the target order is screened out, the server can send the order information of the target order to the target client side in a popup window mode, and therefore recommendation is achieved. The order information may include task content corresponding to the order, a customer address and a customer contact address associated with the order, and the like. Through the form of the pop-up window, the order information of the target order is displayed to the user of the target client, so that the user can perform order grabbing operation by referring to the order information displayed on the pop-up window, and can quickly take the order suitable for the user. Of course, in other embodiments, the server may recommend the target order to the target client, and may also adopt other recommendation manners, such as client email, client message push, and the like.
According to the method and the device for ordering the orders, the time length of the orders entering the order grabbing pool and the remuneration of completed orders are used as scoring indexes, the scores of the orders in the order grabbing pool are determined, when the orders of the target client are successfully grabbed, the orders to be grabbed are ordered according to the scores of the orders to be grabbed in the order grabbing pool and the association degree of the orders to be grabbed, and then the target orders are screened out based on the ordering result and recommended to the target client. Therefore, the service personnel can quickly select the orders suitable for the service personnel, the time cost of the service personnel is effectively saved, meanwhile, some orders which are not easy to notice can be digested, and the customer satisfaction is improved.
To illustrate the solution of the present application in more detail, a specific embodiment is described below:
the business opportunity platform comprises modules of business opportunity creation, business opportunity distribution, business opportunity execution and the like, the business opportunity creation is carried out through the butt joint of the list platform, the business opportunity distribution is carried out according to the modes of a list robbing mode, a list dispatching mode and the like, and the list is actuated by a salesman. Before the scheme of the embodiment is applied, a new order enters the order grabbing pool, an operator needs to manually select the order to grab the order, and since a large amount of time is needed to select the order, the operator often cannot timely service the customer, and part of the order is not easily noticed, the customer is left unattended for a long time, so that the customer satisfaction is low, and the order taking rate of the operator is low. The embodiment provides an order processing scheme based on multi-dimensional indexes to solve the problem, and the scheme can be applied to a server of a business platform.
The workflow of the solution of this embodiment is shown in fig. 2, and the workflow includes:
s201, calculating the score of each order in the order grabbing pool based on indexes of three dimensions, namely the over-audit rate, the compensation and the number of days in the order grabbing pool;
wherein, the server makes all orders entering the business according to the number of days X of entering the order grabbing pool 3 Performance compensation X of the project to which the order belongs 2 And the over-qualification rate X 1 And calculating a score Y, wherein the calculation formula is represented as: y = X 1 ×X 2 /X 3 (ii) a In particular, the special letterTwo attribute fields are added on the information table, namely 'over-trial rate' and 'compensation', and are maintained by the back management platform, and the server calculates the score of the order by inquiring the project information table corresponding to the project to which the order belongs;
s202, periodically updating the score of each order in the order grabbing pool;
wherein, the server adds a new JOB to run the batch order to update the score every day, and the score field in the order is updated by using the updated score;
s203, when the operator does not rob the order, sequencing the orders in the order grabbing pool according to the distance or the order creating time, and displaying the sequencing result in an order grabbing page on the client of the operator;
it should be noted that S203 and S202 do not have a fixed sequence;
s204, when the businessman successfully robs the order, screening out a target order according to the score of the order to be robed and the degree of association between the score and the address of the order to be robed;
the target order is five orders with the order to be preempted within the address range of 5 kilometers of the preempted order according to respective scores and the order of the five orders is 5 in the top;
and S205, displaying the target order to the client of the salesman in a popup window mode.
Tests show that through the process, the time spent by a salesman on selecting an order is effectively reduced, and the utilization rate is improved compared with the conventional mode of recommending the order according to the distance; the business personnel can quickly get the order suitable for the business personnel and can timely serve the customer; meanwhile, some orders which are not easy to pay attention to are digested, and the condition that the customer is unattended for a long time is effectively reduced, so that the service quality is improved by a salesman, and the customer satisfaction is improved.
Corresponding to the foregoing method embodiments, the present application further provides embodiments of an order processing apparatus and a terminal applied thereto:
as shown in fig. 3, fig. 3 is a block diagram of an order processing apparatus according to an embodiment of the present application, where the apparatus includes:
the acquisition module 31 is used for acquiring the score of each order in the order grabbing pool; the score for each order is determined based at least on the length of time the order entered the order pool and the reward for completing the order;
the sorting module 32 is configured to, when the target client successfully performs the order grabbing, sort the orders to be grabbed according to the score of the orders to be grabbed in the order grabbing pool and the degree of association between the orders to be grabbed and the orders to be grabbed;
and the recommending module 33 is configured to obtain a target order from the orders to be preempted based on the sorting result, and recommend the target order to the target client.
The implementation process of the functions and actions of each module in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
Fig. 4 shows a block diagram of an electronic device according to an embodiment of the present disclosure, where fig. 4 is a block diagram of the electronic device. The electronic device may include a processor 410, a communication interface 420, a memory 430, and at least one communication bus 440. Wherein the communication bus 440 is used to enable direct connection communication of these components. In this embodiment, the communication interface 420 of the electronic device is used for performing signaling or data communication with other node devices. The processor 410 may be an integrated circuit chip having signal processing capabilities.
The Processor 410 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor 410 may be any conventional processor or the like.
The Memory 430 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The memory 430 stores computer readable instructions that, when executed by the processor 410, enable the electronic device to perform the various steps involved in the method embodiment of fig. 1 described above.
Optionally, the electronic device may further include a memory controller, an input output unit.
The memory 430, the memory controller, the processor 410, the peripheral interface, and the input/output unit are electrically connected to each other directly or indirectly to implement data transmission or interaction. For example, these components may be electrically coupled to each other via one or more communication buses 440. The processor 410 is used to execute executable modules stored in the memory 430, such as software functional modules or computer programs included in the electronic device.
The input and output unit is used for providing a task for a user and starting an optional time interval or preset execution time for the task creation so as to realize the interaction between the user and the server. The input/output unit may be, but is not limited to, a mouse, a keyboard, and the like.
It will be appreciated that the configuration shown in fig. 4 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 4 or may have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
The embodiment of the present application further provides a storage medium, where the storage medium stores instructions, and when the instructions are run on a computer, when the computer program is executed by a processor, the method in the method embodiment is implemented, and in order to avoid repetition, details are not repeated here.
The present application also provides a computer program product which, when run on a computer, causes the computer to perform the method of the method embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. An order processing method, comprising:
obtaining the value of each order in the order grabbing pool; the score for each order is determined based at least on the length of time the order entered the order pool and the reward for completing the order;
when the target client-side successfully performs order grabbing, sequencing the orders to be grabbed according to the value of the orders to be grabbed in the order grabbing pool and the correlation degree between the orders to be grabbed and the orders to be grabbed;
and acquiring a target order from the orders to be preempted based on the sequencing result, and recommending the target order to the target client.
2. The method of claim 1, wherein the score for each order is determined based on a length of time the order entered the order pool, a reward for completing the order, and an over-review rate for the order, the over-review rate for the order being determined according to the business category to which the order belongs.
3. The method of claim 2, wherein the score of each order is directly proportional to the reward for completing the order, the rate of overreview of the order, and inversely proportional to the length of time the order entered the order capture pool.
4. The method of claim 1, wherein said sorting the orders to be preempted according to the score of the orders to be preempted in the order pool and the degree of correlation with the orders to be preempted comprises:
determining the order to be preempted, which has a preset distance from the address corresponding to the order to be preempted, as a candidate order to be preempted;
and sequencing the candidate orders to be preempted according to the scores, wherein the sequence of the rest orders to be preempted is arranged behind the sequence of the candidate orders to be preempted.
5. The method of claim 4, wherein obtaining the target order from the to-be-preempted orders based on the ranking results comprises:
and determining the order to be preempted in the sequence before the preset sequence in the sequencing result as the target order.
6. The method of claim 1, wherein recommending the target order to the target client comprises:
and sending the order information of the target order to the target client side in a popup window mode.
7. The method of claim 1, further comprising:
and periodically updating the score of each order in the order grabbing pool.
8. An order processing apparatus, comprising:
the acquisition module is used for acquiring the score of each order in the order grabbing pool; the score for each order is determined based at least on a length of time the order entered the order pool and a reward for completing the order;
the ordering module is used for ordering the orders to be preempted according to the score of the orders to be preempted in the order preemption pool and the correlation degree between the orders to be preempted and the orders to be preempted when the target client-side successfully preempts the orders;
and the recommending module is used for acquiring the target order from the order to be preempted based on the sequencing result and recommending the target order to the target client.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
10. An electronic device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1 to 7 when executing the computer program.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211244249.8A CN115545837A (en) | 2022-10-11 | 2022-10-11 | Order processing method, device, storage medium and equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211244249.8A CN115545837A (en) | 2022-10-11 | 2022-10-11 | Order processing method, device, storage medium and equipment |
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| Publication Number | Publication Date |
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| CN115545837A true CN115545837A (en) | 2022-12-30 |
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| CN202211244249.8A Pending CN115545837A (en) | 2022-10-11 | 2022-10-11 | Order processing method, device, storage medium and equipment |
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| CN (1) | CN115545837A (en) |
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