CN115115428A - Order distribution method, order distribution platform, order distribution system and storage medium - Google Patents

Order distribution method, order distribution platform, order distribution system and storage medium Download PDF

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CN115115428A
CN115115428A CN202210759548.9A CN202210759548A CN115115428A CN 115115428 A CN115115428 A CN 115115428A CN 202210759548 A CN202210759548 A CN 202210759548A CN 115115428 A CN115115428 A CN 115115428A
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高健
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Ping An Bank Co Ltd
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    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063114—Status monitoring or status determination for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance

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Abstract

The invention discloses an order distribution method, a platform, an order distribution system and a medium, wherein the method comprises the following steps: receiving reservation address information; determining a target area and an adjacent area according to the reservation address information and a preset area division rule; acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in a target area and a second operator list of which the real-time position information is located in an adjacent area; judging whether the current number of unfinished orders of all the salesmen in the first salesmen list is larger than the preset number of unfinished orders; and if so, distributing the plurality of order information to a task list of the target business staff, wherein the target business staff are a plurality of business staff of which the number of the current unfinished orders in the second business staff list is less than the preset number of the unfinished orders so as to ensure that the orders can be processed in time. The order distribution scheme increases the diversity of order distribution modes, and has high flexibility and good user experience.

Description

Order distribution method, order distribution platform, order distribution system and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an order allocation method, an order allocation platform, an order allocation system, and a storage medium.
Background
With the development of computer technology, various financial services of banks, such as account opening, account transfer, credit card transaction, financial transaction and the like, can be transacted through a computer. When a banking operator is required to transact business at home, the current business order distribution mode is usually to send the order to the operator whose real-time location information is consistent with the order reservation address information. When the number of orders of the service staff with the real-time location information consistent with the order reservation address information is large, if a plurality of newly received orders are also given to the service staff for processing, the service staff may not process the orders, which will affect the processing speed of the orders. Therefore, the existing order distribution mode is too single and not flexible.
Disclosure of Invention
The present application aims to provide an order allocation method, an order allocation platform, an order allocation system and a storage medium, so as to solve the problem that the order allocation method in the prior art is too single and not flexible enough.
A first aspect of an embodiment of the present application provides an order allocation method, including:
receiving a plurality of order information uploaded by a plurality of users through a terminal, wherein the order information comprises reservation address information;
determining a target area and an adjacent area according to the reservation address information and a preset area division rule;
acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area;
acquiring the current number of unfinished orders of each salesman in the first salesman list, and judging whether the current number of unfinished orders of all salesmen in the first salesman list is greater than the preset number of unfinished orders;
and if so, distributing the plurality of order information to a task list of a target operator, wherein the target operator is a plurality of operators in the second operator list, and the number of the current unfinished orders is smaller than the preset number of unfinished orders.
In an embodiment, the determining a target region and an adjacent region according to the reserved address information and a preset region division rule includes:
carrying out gridding division on the urban area according to population density distribution to obtain a plurality of grid areas;
the grid area where the reserved address information is located is the target area;
and taking the target area as a center, taking 8 grid areas surrounding the target area as the adjacent areas, and distributing the target area and the adjacent areas according to a Sudoku.
In an embodiment, the determining a target region and an adjacent region according to the reserved address information and a preset region partition rule includes:
drawing a thermodynamic diagram according to historical order position information of the target city area;
carrying out gridding division on the thermodynamic diagram according to a preset proportion strategy to obtain a plurality of grid areas;
the grid area where the reserved address information is located is the target area;
and taking the target area as a center, taking 8 grid areas surrounding the target area as the adjacent areas, and distributing the target area and the adjacent areas according to a Sudoku.
In an embodiment, the determining a target region and an adjacent region according to the reserved address information and a preset region division rule includes:
a position point set with a path distance from the reservation address information less than or equal to a first preset distance is taken as a target area;
and the position point set with the path distance from the reservation address information greater than the first preset distance and less than or equal to a second preset distance is an adjacent area.
In an embodiment, the allocating the plurality of order information to the task list of the target clerk includes:
calculating the time required for each target service person to reach the reservation address information based on the current road condition and the reservation address information;
and distributing the order information to a task list of the target service staff with the shortest required time.
In one embodiment, before the distributing the plurality of order information into the task list of the target clerk, the method further comprises:
if no salesmen with the current unfinished order number smaller than the preset unfinished order number exists in the second salesmen list, putting the order information into a first order pool, and waiting for the salesmen in the first order pool to claim the order information, wherein the salesmen in the first order pool is the salesmen in the first salesmen list;
and when the order information is not claimed within the preset time, transferring the order information to a second order pool, wherein the staff in the second order pool is the staff in the second staff list.
A second aspect of an embodiment of the present application provides an order distribution platform, including:
the receiving module is used for receiving a plurality of order information uploaded by a plurality of users through terminals, wherein the order information comprises reservation address information;
the region determining module is used for determining a target region and an adjacent region according to the reservation address information and a preset region division rule;
the determining module is used for acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area;
the acquisition module is used for acquiring the current number of unfinished orders of each salesman in the first salesman list;
the judging module is used for judging whether the current number of unfinished orders of all the salesmen in the first salesmen list is larger than the preset number of unfinished orders;
and the distribution module is used for distributing a plurality of order information to a task list of a target operator when the current number of unfinished orders of all operators in the first operator list is greater than the preset number of unfinished orders, wherein the target operator is a plurality of operators of which the current number of unfinished orders in the second operator list is less than the preset number of unfinished orders.
A third aspect of the embodiments of the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the computer device, wherein the processor implements the steps of the order allocation method provided by the first scheme when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the order allocation method provided by the first scheme.
The order distribution method, the order distribution platform, the computer device and the computer readable storage medium provided by the embodiment of the application have the following beneficial effects:
according to the order distribution method, the order distribution platform, the order distribution system and the storage medium, a plurality of pieces of order information uploaded by a plurality of users through terminals are received, wherein the order information comprises reservation address information; determining a target area and an adjacent area according to the reservation address information and a preset area division rule; acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area; acquiring the current number of unfinished orders of each salesman in the first salesman list, and judging whether the current number of unfinished orders of all salesmen in the first salesman list is greater than the preset number of unfinished orders; and if so, distributing the plurality of order information to a task list of a target operator, wherein the target operator is a plurality of operators in the second operator list, and the number of the current unfinished orders is less than the preset number of unfinished orders, so as to ensure that the orders can be processed in time. The order distribution scheme increases the diversity of order distribution modes, and has high flexibility and good user experience.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of a first implementation of an order allocation method according to an embodiment of the present invention;
FIG. 2 is a first flowchart of step S20 in FIG. 1;
FIG. 3 is a second flowchart of step S20 in FIG. 1;
FIG. 4 is a third flowchart of step S20 in FIG. 1;
FIG. 5 is a flowchart of a second implementation of an order allocation method according to an embodiment of the present invention;
FIG. 6 is a flowchart of a third implementation of an order allocation method according to an embodiment of the present invention;
FIG. 7 is a functional block diagram of an order distribution platform according to an embodiment of the present invention;
fig. 8 is a schematic hardware structure diagram of an order distribution platform according to an embodiment of the present invention;
fig. 9 is a schematic hardware structure diagram of an order distribution system of an order distribution platform according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the application provides an order distribution method which is applied to computer equipment. When the order distribution method is implemented, the order distribution method is configured on a computer device in the form of an object script, and the computer device executes the object script to further execute the steps of the order distribution method provided by the embodiment. The execution subject is a target server in the server cluster for distributing the order. Here, the server cluster may be a server cluster composed of a plurality of servers, on which the distributed order distribution system is built, so that each component required for building the distributed order distribution system can be configured into each server in the server cluster, and a server configured with the distributed order distribution system component may also be referred to as a component server. Data sharing or data synchronization can be performed between the servers in the server cluster. On this basis, a target script file is configured to any server in the server cluster, and the target script file describes the order allocation method provided by this embodiment, so that the server configured with the target script file can execute the target script file, and further execute each step in the order allocation method. Or, configuring a new server for the server cluster, configuring a target script file for the new server, and describing the order allocation method provided by this embodiment by the target script file, so that the new server can execute each step in order allocation by executing the target script file.
When the method is implemented, a target server used for distributing orders in a server cluster receives order information uploaded by a user through a terminal, and a target area and an adjacent area can be determined according to the order information and a preset area division rule because the order information comprises reservation address information; acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area; acquiring the current number of unfinished orders of each salesman in the first salesman list, and judging whether the current number of unfinished orders of all salesmen in the first salesman list is greater than the preset number of unfinished orders; and if so, distributing the plurality of order information to a task list of a target operator, wherein the target operator is a plurality of operators in the second operator list, and the number of the current unfinished orders is less than the preset number of unfinished orders, so as to ensure that the orders can be processed in time. The order distribution scheme increases the diversity of order distribution modes, and has high flexibility and good user experience.
Referring to fig. 1, fig. 1 is a flowchart illustrating a first implementation of an order allocation method provided in an embodiment of the present application. The order distribution method comprises the following steps:
s10: receiving a plurality of order information uploaded by a plurality of users through a terminal, wherein the order information comprises reservation address information.
In step S10, the order information is the order information included in the electronic order that the banking staff visits to handle the business for the user by subscribing to send the business handling request through the client such as the mobile banking APP or the banking client when the user needs to request the banking staff to visit to handle the business. The order information includes the name, sex, age, mobile phone number, transacted business type, and reservation address information of the user. The user fills in the information on the electronic order and uploads the order information on the client, and the server receives the order information uploaded by the user.
S20: and determining a target area and an adjacent area according to the reserved address information and a preset area division rule.
S30: and acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area.
Specifically, the operator information refers to specific information data of the operator stored on the order distribution system in the banking service network, including but not limited to age, gender, authority, real-time location information, and historical order processing situation of the operator. The real-time position information corresponding to each salesman can be acquired by uploading satellite positioning information on the order distribution system by the salesman in real time, or by voice input or manual filling of the real-time position information by the salesman. In addition, the real-time position information corresponding to each operator in the operator information set can be obtained, and the real-time position information can also be determined jointly based on the first position information of the electronic order currently processed by each operator and/or the second position information of the electronic order to be processed next.
A user submits order information through a terminal, real-time position information also needs to be collected on an order distribution system, and a server compares the obtained real-time position information with a target area and an adjacent area. The real-time location information of the attendant is compared to the target area and the adjacent areas by a minimum unit, such as a street. If the real-time position information is located in the target area, the position of the salesman is close to the reserved address, and at the moment, the salesman information is listed in a first salesman list. If the real-time position information is located in the adjacent area, the position of the operator is far away from the vicinity of the reserved address, and at the moment, the operator information is listed in a second operator list.
When the GPS positioning information uploaded by the staff member cannot be used for determining the real-time position information of each staff member, or the GPS positioning information uploaded by the staff member is not received, the real-time position information of each staff member may be determined based on the first position information of the electronic order currently being processed by each staff member and/or the second position information of the electronic order to be processed next. Uploading of GPS location information becomes difficult when the network state is poor, and the reservation address information of the electronic order being processed and to be processed of the operator is determined on the order distribution system, for example, there is the order information being processed and to be processed in the task list of the operator, because the operator processes the order information according to the order of the order information in the task list, the real-time location information of the operator may be the address on the electronic order being processed, may be the address of the next order information to be processed, and is more likely to be the path between the electronic order being processed and the address of the next electronic order to be processed. Real-time location information corresponding to each of the wait staff members may be determined based on the electronic first location information being processed by each of the wait staff members and/or the second location information of the next pending electronic order.
S40: and acquiring the current number of uncompleted orders of each salesman in the first salesman list, and judging whether the current number of uncompleted orders of all salesmen in the first salesman list is greater than a preset number of uncompleted orders.
If yes, the process proceeds to step S50.
S50: and distributing the plurality of order information to a task list of a target operator, wherein the target operator is a plurality of operators in the second operator list, and the number of current unfinished orders is less than the preset number of unfinished orders.
In one embodiment, as shown in fig. 2, the step S20 specifically includes the following steps:
s21: and gridding and dividing the urban area according to population density distribution to obtain a plurality of grid areas.
Specifically, the gridding division is based on large scale data of a target urban area, and different unit gridding divisions are formed by transverse aggregation or longitudinal decomposition according to a certain proportion in space according to population density distribution in the target urban area. Because there are many orders to be processed corresponding to densely populated areas, the target city area needs to be divided into gridding partitions, which is convenient for business personnel to process the gridding partitioned orders in a centralized manner. The target urban area is divided, wherein the target urban area is not limited to a size range, and is divided according to needs and specific conditions, but the urban area is generally divided by taking a city as a unit. Because population distribution in urban areas is usually uneven, the urban areas are subjected to meshing division according to proportion according to population density distribution in the urban areas, and the target urban areas are subjected to meshing division to obtain meshing division.
S22: and the grid area where the reserved address information is located is the target area.
S23: and taking the target area as a center, taking 8 grid areas surrounding the target area as the adjacent areas, and distributing the target area and the adjacent areas according to a Sudoku.
Specifically, the grid region where the reservation address information is located is the center of the nine-grid pattern (i.e., the grid region where the reservation address information is located and the 8 adjacent grid regions around the grid region).
In one embodiment, as shown in fig. 3, the step S20 specifically includes the following steps:
s24: and drawing a thermodynamic diagram according to the historical order position information of the target city area.
S25: and gridding and dividing the thermodynamic diagram according to a preset proportion strategy to obtain a plurality of grid areas.
Specifically, the thermodynamic diagram is visual data of the area, and the thermodynamic diagram is drawn according to the distribution condition of the historical order position information of the target city area in the target city area, namely the thermodynamic diagram for rendering the historical order position density is generated according to the longitude and latitude corresponding to the historical order position and the map of the target city area. Finally, the thermodynamic diagram is subjected to gridding division to obtain a gridding address division area. According to the preset proportion strategy, the proportion of grids used for dividing the position with high density of the geographic position of the historical order, namely the position with deep color in the thermodynamic diagram is smaller, and the grids with low density of the historical order position and high use proportion in the thermodynamic diagram are divided. The grid division not only divides the target city area according to the historical order position information, but also divides the target city area according to the density of the historical order position to obtain a grid address division area. The historical order position information can represent population density distribution, corresponding operators are configured for each grid address division area, and the operator information sets are approximately equal, so that the number of orders processed by the operators in each grid address division area is balanced, and the condition that different operators do not saturate or saturate excessively is avoided.
S26: and the grid area where the reserved address information is located is the target area.
S27: and taking the target area as a center, taking 8 grid areas surrounding the target area as the adjacent areas, and distributing the target area and the adjacent areas according to a Sudoku.
Specifically, the grid region where the reservation address information is located is the center of the nine-grid pattern (i.e., the grid region where the reservation address information is located and the 8 adjacent grid regions around the grid region).
In one embodiment, as shown in fig. 4, the step S20 specifically includes the following steps:
s28: and the position point set with the path distance from the reserved address information less than or equal to a first preset distance is taken as a target area.
S29: and the position point sets with the path distance from the reservation address information being greater than the first preset distance and less than or equal to a second preset distance are adjacent areas.
The first preset distance may be 5-10 km, and the second preset distance may be 15-20 km.
Referring to fig. 5, fig. 5 is a flowchart illustrating a second implementation of the order allocation method according to the embodiment of the present application. The order distribution method comprises the following steps:
s10: receiving a plurality of order information uploaded by a plurality of users through a terminal, wherein the order information comprises reservation address information.
S20: and determining a target area and an adjacent area according to the reserved address information and a preset area division rule.
S30: and acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area.
S40: and acquiring the current number of unfinished orders of each operator in the first operator list, and judging whether the current number of unfinished orders of all operators in the first operator list is larger than the preset number of unfinished orders.
If yes, the process proceeds to step S60.
S60: and calculating the time required by each target service person to reach the reserved address information based on the current road condition and the reserved address information, wherein the target service persons are a plurality of service persons of which the number of current unfinished orders in the second service person list is less than the number of preset unfinished orders.
S70: and distributing the order information to a task list of the target service staff with the shortest required time.
Referring to fig. 6, fig. 6 shows a flowchart of a third implementation of the order allocation method provided in the embodiment of the present application. The order distribution method comprises the following steps:
s10: receiving a plurality of order information uploaded by a plurality of users through a terminal, wherein the order information comprises reservation address information.
S20: and determining a target area and an adjacent area according to the reserved address information and a preset area division rule.
S30: and acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area.
S40: and acquiring the current number of unfinished orders of each operator in the first operator list, and judging whether the current number of unfinished orders of all operators in the first operator list is larger than the preset number of unfinished orders.
If yes, the process proceeds to step S80.
S80: and judging whether the current number of the unfinished orders of all the salesmen in the second salesmen list is larger than a preset number of the unfinished orders.
S90: if no business member with the current unfinished order quantity smaller than the preset unfinished order quantity exists in the second business member list, putting the order information into a first order pool, and waiting for the business member in the first order pool to claim the order information, wherein the business member in the first order pool is the business member in the first business member list.
S100: and when the order information is not claimed within the preset time, transferring the order information to a second order pool, wherein the staff in the second order pool is the staff in the second staff list.
Specifically, after the electronic order is placed in a first order pool, order information is set as a free order, the order information is pushed to all business personnel in the first order pool, the business personnel in the first order pool autonomously select whether to receive the order according to self conditions, a server waits for the order receiving information of the business personnel in the first order pool, and when the order receiving information of the business personnel is not received within preset waiting time, the order information is transferred to a second order pool, and the association degree between the information of each business personnel and the order information is measured and calculated to distribute the order information. The second order pool may be understood herein as a spare order pool, and order information is only transferred to the second order pool when no order information is received by a clerk in the first order pool. The preset waiting time can be set according to the needs, and can be half a minute or one minute. When no business person receives the order information in the first order pool, namely the order distribution system does not receive order receiving information of the business person in the preset time, the order information is transferred to the second order pool, the correlation degree between the information of each business person and the order information is measured, and the order information in the order pool is distributed according to the correlation degree.
Corresponding to the above method embodiment, the embodiment of the present invention further provides an order distribution platform, as shown in fig. 7, the platform 10 may include the following modules:
the receiving module 11 is configured to receive a plurality of order information uploaded by a plurality of users through a terminal, where the order information includes reservation address information;
the region determining module 12 is configured to determine a target region and an adjacent region according to the reservation address information and a preset region division rule;
a determining module 13, configured to obtain real-time location information corresponding to each operator, and determine a first operator list in which the real-time location information is located in the target area and a second operator list in which the real-time location information is located in the adjacent area;
an acquisition module 14, configured to acquire a current number of unfinished orders of each salesman in the first salesman list;
the judging module 15 is configured to judge whether the number of current unfinished orders of all the salesmen in the first salesmen list is greater than a preset number of unfinished orders;
and an allocating module 36, configured to allocate, when the current number of unfinished orders of all the employees in the first employee list is greater than the preset number of unfinished orders, information of a plurality of orders to a task list of a target employee, where the target employee is a plurality of employees whose current number of unfinished orders in the second employee list is less than the preset number of unfinished orders.
It should be understood that, in the functional module diagram of the order distribution platform shown in fig. 7, each module is used to execute each step in the embodiment corresponding to fig. 1 to 6, while each step in the embodiment corresponding to fig. 1 to 6 has been explained in detail in the above embodiment, please refer to the relevant description in the embodiment corresponding to fig. 1 to 6, and is not repeated here.
Another embodiment of the present invention provides an order distribution platform, as shown in fig. 8, the order distribution platform 10 includes:
one or more processors 110 and a memory 120, where one processor 110 is illustrated in fig. 8, the processor 110 and the memory 120 may be connected by a bus or other means, and fig. 8 illustrates a connection by a bus as an example.
Processor 110 is used to implement various control logic for platform 10, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip, an ARM (Acorn RISC machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Also, the processor 110 may be any conventional processor, microprocessor, or state machine. Processor 110 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP, and/or any other such configuration.
Memory 120, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the corresponding program instructions for order allocation in embodiments of the present invention. The processor 110 executes various functional applications and data processing of the platform 10, i.e. implements the order allocation method in the above method embodiments, by running non-volatile software programs, instructions and units stored in the memory 120.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an application program required for operating the platform, at least one function; the storage data area may store data created according to the use of the platform 10, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to platform 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more units are stored in the memory 120, which when executed by the one or more processors 110, perform the order allocation method in any of the method embodiments described above, e.g., performing the method steps S100-S400 of fig. 1 described above.
Another embodiment of the present invention further provides an order distribution system, as shown in fig. 9, the system includes several clients 20, a server 30, and the order distribution platform 10 as described above; the plurality of clients 20 and the server 30 are in communication connection with the order distribution platform 10, wherein the plurality of clients 20 are used for various dealers to log in the order distribution platform 10 and fill in bulletin information acquisition requests, and the server 30 is used for storing bulletin information.
Embodiments of the present invention provide a non-transitory computer-readable storage medium having stored thereon computer-executable instructions for execution by one or more processors, e.g., to perform the method steps described above in fig. 1-6.
By way of example, non-volatile storage media can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memory of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
To sum up, in the order allocation method, platform, system and medium disclosed in the present invention, the method responds to the notice information acquisition request of the sponsor, and executes the notice information acquisition activity on the target card organization webpage; after the announcement information is acquired, judging whether the announcement information is target announcement information or not; if yes, generating target mail content to be sent to a target mailbox according to the notice information and the mail code template, wherein the target mail content comprises the notice information, when the mail with the target mail content is read from the target mailbox by a target mailbox end, the notice information is presented in the form of an attachment in the target mailbox end, and the target mailbox end is used for reading the mail from the target mailbox; adding the generated target mail content into the mail and pushing the mail to the sponsor. According to the method, the bulletin information is automatically imported into the mail code template through order distribution, and the mail containing the bulletin information is generated, so that the error rate of a sponsor is reduced, and the working efficiency of the sponsor is improved.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by instructing relevant hardware (such as a processor, a controller, etc.) through a computer program, which may be stored in a non-volatile computer-readable storage medium, and the computer program may include the processes of the above method embodiments when executed. The storage medium may be a memory, a magnetic disk, a floppy disk, a flash memory, an optical memory, etc.
It should be understood that the above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should 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; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. An order allocation method, comprising:
receiving a plurality of order information uploaded by a plurality of users through a terminal, wherein the order information comprises reservation address information;
determining a target area and an adjacent area according to the reservation address information and a preset area division rule;
acquiring real-time position information corresponding to each operator, and determining a first operator list of which the real-time position information is located in the target area and a second operator list of which the real-time position information is located in the adjacent area;
acquiring the current number of unfinished orders of each salesman in the first salesman list, and judging whether the current number of unfinished orders of all salesmen in the first salesman list is greater than the preset number of unfinished orders;
and if so, distributing the plurality of order information to a task list of a target operator, wherein the target operator is a plurality of operators in the second operator list, and the number of the current unfinished orders is smaller than the preset number of unfinished orders.
2. The method of claim 1, wherein the determining a target region and an adjacent region according to the reserved address information and a preset region partition rule comprises:
carrying out gridding division on the urban area according to population density distribution to obtain a plurality of grid areas;
the grid area where the reserved address information is located is the target area;
and taking the target area as a center, taking 8 grid areas surrounding the target area as the adjacent areas, and distributing the target area and the adjacent areas according to a Sudoku.
3. The method of claim 1, wherein the determining a target region and an adjacent region according to the reserved address information and a preset region partition rule comprises:
drawing a thermodynamic diagram according to historical order position information of the target city area;
carrying out gridding division on the thermodynamic diagram according to a preset proportion strategy to obtain a plurality of grid areas;
the grid area where the reserved address information is located is the target area;
and taking the target area as a center, taking 8 grid areas surrounding the target area as the adjacent areas, and distributing the target area and the adjacent areas according to a Sudoku.
4. The method of claim 1, wherein the determining a target region and an adjacent region according to the reserved address information and a preset region partition rule comprises:
determining a position point set with a path distance from the reservation address information less than or equal to a first preset distance as a target area;
and determining a position point set with a path distance from the reservation address information greater than the first preset distance and less than or equal to a second preset distance as an adjacent area.
5. The method of claim 1, wherein assigning the plurality of order information to a task list of the target attendant comprises:
calculating the time required for each target service person to reach the reservation address information based on the current road condition and the reservation address information;
and distributing the order information to a task list of the target service staff with the shortest required time.
6. The method of claim 1, wherein prior to assigning the plurality of order information to the task list of the target attendant, the method further comprises:
if no salesmen with the current unfinished order number smaller than the preset unfinished order number exists in the second salesmen list, putting the order information into a first order pool, and waiting for the salesmen in the first order pool to claim the order information, wherein the salesmen in the first order pool is the salesmen in the first salesmen list;
and when the order information is not claimed within the preset time, transferring the order information to a second order pool, wherein the staff in the second order pool is the staff in the second staff list.
7. An order distribution platform, comprising:
the receiving module is used for receiving a plurality of order information uploaded by a plurality of users through terminals, wherein the order information comprises reservation address information;
the region determining module is used for determining a target region and an adjacent region according to the reservation address information and a preset region division rule;
the determining module is used for acquiring real-time position information corresponding to each salesman, and determining a first salesman list of which the real-time position information is located in the target area and a second salesman list of which the real-time position information is located in the adjacent area;
the acquisition module is used for acquiring the current number of unfinished orders of each salesman in the first salesman list;
the judging module is used for judging whether the current number of unfinished orders of all the salesmen in the first salesmen list is larger than the preset number of unfinished orders;
and the distribution module is used for distributing a plurality of order information to a task list of a target operator when the current number of unfinished orders of all operators in the first operator list is greater than the preset number of unfinished orders, wherein the target operator is a plurality of operators of which the current number of unfinished orders in the second operator list is less than the preset number of unfinished orders.
8. An order distribution platform comprising at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the order allocation method of any of claims 1-6.
9. An order distribution system comprising a plurality of clients, a server and the platform of claim 8; and the plurality of clients and the server are in communication connection with the platform.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
CN202210759548.9A 2022-06-29 2022-06-29 Order distribution method, order distribution platform, order distribution system and storage medium Pending CN115115428A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029704A (en) * 2023-03-27 2023-04-28 浙江虎哥数字科技有限公司 Method, system and medium for recycling recyclable articles

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029704A (en) * 2023-03-27 2023-04-28 浙江虎哥数字科技有限公司 Method, system and medium for recycling recyclable articles
CN116029704B (en) * 2023-03-27 2023-06-23 浙江虎哥数字科技有限公司 Method, system and medium for recycling recyclable articles

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