CN112396326B - Agent allocation method, device and storage medium for obtaining new clients through Internet - Google Patents

Agent allocation method, device and storage medium for obtaining new clients through Internet Download PDF

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CN112396326B
CN112396326B CN202011308253.7A CN202011308253A CN112396326B CN 112396326 B CN112396326 B CN 112396326B CN 202011308253 A CN202011308253 A CN 202011308253A CN 112396326 B CN112396326 B CN 112396326B
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characteristic information
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client
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CN112396326A (en
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石海洋
陈依云
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Ping An Life Insurance Company of China Ltd
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Abstract

The application relates to an agent distribution method for acquiring new clients through the Internet, which is applied to electronic equipment and comprises the following steps: the electronic equipment acquires the characteristic information of the agent, and determines the range of the service agent according to the characteristic information; the accuracy of address resolution of a client identifier is acquired, an agent in a region corresponding to the accuracy is matched from the service agent range, and the client identifier is assigned to the agent in the corresponding region. The technical scheme provided by the application can automatically distribute the Internet clients, quickly respond to the distribution of the clients, and has the advantage of reducing the distribution cost of the clients.

Description

Agent allocation method, device and storage medium for obtaining new clients through Internet
Technical Field
The application relates to the technical field of internet, in particular to an agent distribution method, an agent distribution device and a storage medium for obtaining new clients through internet.
Background
Along with the change of the management environment, the client intent clues are obtained through cooperation with an external internet platform, so that the client intent clues become an important channel for obtaining new clients for life insurance management, and how to distribute the under-line agents (insurance agents or insurance salesmen) is a core link.
Embedding an H5 page of safe life insurance into an external internet platform, and obtaining customer information after the intention customers are filled, wherein the customer information comprises basic information such as a customer mobile phone number, intention products, contact names, contact gender, information retaining time, IP addresses, a delivery channel and the like. And manually informing the intention of the client according to the client information, and reminding the agent to contact the client.
The existing new client allocation method relies on manual allocation, manual participation cannot allocate the new client in time, and manual allocation cost is high.
Disclosure of Invention
The embodiment of the application provides a proxy distribution method, a proxy distribution device and a storage medium for acquiring new clients through the Internet, which can automatically distribute the clients on the Internet, quickly respond to the distribution of the clients and reduce the distribution cost of the clients.
In a first aspect, there is provided an agent allocation method for obtaining a new client through the internet, applied to an electronic device, the method comprising:
the electronic equipment acquires the characteristic information of the agent, and determines the range of the service agent according to the characteristic information;
acquiring the accuracy of address resolution of a client identifier, matching agents in an area corresponding to the accuracy from the service agent range, and distributing the client identifier to the agents in the corresponding area;
the grade of the corresponding regional agent is higher than the grade of the characteristic information, and the grade of the characteristic information is determined by the product result obtained by calculating the input data of the characteristic information and the preset weight vector.
In a second aspect, there is provided an electronic device comprising:
the acquisition unit is used for acquiring the characteristic information of the agent and determining the range of the service agent according to the characteristic information;
the processing unit is used for acquiring the accuracy of address resolution of the client identifier; matching agents in the area corresponding to the precision from the service agent range, and distributing client identifications to agents in the corresponding area;
the grade of the corresponding regional agent is higher than the grade of the characteristic information, and the grade of the characteristic information is determined by the product result obtained by calculating the input data of the characteristic information and the preset weight vector.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
By implementing the embodiment of the application, the following beneficial effects are achieved:
it can be seen that the technical scheme of the method and the device is automatically distributed by the electronic equipment, so that the circulation speed of the client stay clues is improved, the time interval of the agent touching the client is effectively reduced, and the clue conversion rate is improved. The original agent allocation is implemented by a business office manager, and the allocation accuracy depends on personal experience of the business office manager and familiarity degree of the agent; the new scheme collects and integrates business manager operation experience, and packages the business manager operation experience into a unified algorithm, so that the distribution stability is ensured; the agent with insufficient service willingness is eliminated by dynamically servicing the agent list according to the willingness and the action of the agent through the agent touching operation feedback closed loop; related parameters are continuously optimized and regulated by tracking and analyzing the cue management effect, and the distribution accuracy of agents is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for obtaining agent assignment of a new client via Internet according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The technical scheme provided by the embodiment of the application is executed based on the hardware structure of the electronic device, and the electronic device can be portable electronic device which also comprises other functions such as a personal digital assistant and/or a music player function, such as a mobile phone, a tablet computer, a wearable electronic device (such as a smart watch) with a wireless communication function and the like. Of course, stationary electronic devices, such as traffic cameras, surveillance cameras, etc., may also be included. Exemplary embodiments of portable electronic devices and stationary electronic devices include, but are not limited to, portable electronic devices or stationary electronic devices that are equipped with IOS systems, android systems, microsoft systems, or other operating systems (e.g., embedded operating systems). The portable electronic device may also be other portable electronic devices such as a Laptop computer (Laptop) or the like. It should also be appreciated that in other embodiments, the electronic device described above may not be a portable electronic device, but rather a desktop computer or a fixed camera.
An electronic device is a device deployed in an indoor environment or an outdoor environment to receive signals. For example, the signaling device may be an evolved Node B (eNB), a radio network controller (radio network controller, RNC), a Node B (NB), a base station controller (Base Station Controller, BSC), a base transceiver station (Base Transceiver Station, BTS), a Home base station (e.g., home evolved Node B, or Home Node B, HNB), an Access controller (Access controller, AC), a WIFI Access Point (AP), and the like.
The software and hardware operation environment of the technical scheme disclosed in the application is introduced as follows.
By way of example, fig. 1 shows a schematic diagram of an electronic device 100. The electronic device may specifically be an intelligent camera, and of course, the electronic device may also be a wearable device, and may specifically be a wearable portable device such as an intelligent watch, an intelligent bracelet, and the like. Electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus, USB) interface 130, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, a compass 190, a motor 191, an indicator 192, a camera 193, a display 194, a subscriber identity module (subscriber identification module, SIM) card interface 195, and the like.
The processor 110 may include one or more processing units, such as: the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate components or may be integrated in one or more processors. In some embodiments, the electronic device 100 may also include one or more processors 110. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution. In other embodiments, memory may also be provided in the processor 110 for storing instructions and data. Illustratively, the memory in the processor 110 may be a cache memory. The memory may hold instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. This avoids repeated accesses and reduces the latency of the processor 110, thereby improving the efficiency of the electronic device 100 in processing data or executing instructions.
In some embodiments, the processor 110 may include one or more interfaces. The interfaces may include inter-integrated circuit (inter-integrated circuit, I2C) interfaces, inter-integrated circuit audio (inter-integrated circuit sound, I2S) interfaces, pulse code modulation (pulse code modulation, PCM) interfaces, universal asynchronous receiver transmitter (universal asynchronous receiver/transmitter, UART) interfaces, mobile industry processor interfaces (mobile industry processor interface, MIPI), general-purpose input/output (GPIO) interfaces, SIM card interfaces, and/or USB interfaces, among others. The USB interface 130 is an interface conforming to the USB standard, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, or the like. The USB interface 130 may be used to connect a charger to charge the electronic device 101, or may be used to transfer data between the electronic device 101 and a peripheral device. The USB interface 130 may also be used to connect headphones through which audio is played.
It should be understood that the interfacing relationship between the modules illustrated in the embodiments of the present application is only illustrative, and does not limit the structure of the electronic device 100. In other embodiments of the present application, the electronic device 100 may also use different interfacing manners, or a combination of multiple interfacing manners in the foregoing embodiments.
The application provides a method for distributing agents for acquiring new clients through the Internet, which can be executed by electronic equipment shown in fig. 1, and concretely comprises the following steps of:
step S201, obtaining the characteristic information of the agent, and determining the range of the service agent according to the characteristic information;
such characteristic information includes, but is not limited to: span (service life or practice life), quality withholding in the last half year, customer complaints, meeting of diamond manpower standard, entry and exit surrounding agent is screened, and the agent starts service will.
The characteristic information may be adjusted according to different service ranges, and the application is not limited to a specific expression form of the characteristic information, for example, in an alternative solution, the characteristic information may be a registration address of an agent, and in another alternative solution, the characteristic information may be a graduation school, a professional, or the like of the agent.
In step S202, the accuracy of address resolution of the client ID (identifier) is acquired, and the client identifier is allocated to the agent in the corresponding area from the agent who is adapted to the corresponding area within the service agent.
The grade of the corresponding regional agent is higher than the grade of the characteristic information, and the grade of the characteristic information is determined by the product result obtained by calculating the input data of the characteristic information and the preset weight vector.
For example, the characteristic information is formed into an input vector, vector multiplication operation is performed on the input vector and a preset weight vector to obtain a product result, and the characteristic information grade is determined according to the range of the product result.
The accuracy of the address resolution may be province, city, district (county), street, road, etc. The information of business department to which the agent belongs can be standardized and divided according to the accuracy of the address resolution, and the agent in the corresponding area can be adapted according to the accuracy of the address resolution of the client ID.
According to the technical scheme, the electronic equipment automatically distributes the files, so that the circulation speed of the files of the clients is improved, the time interval of the agents touching the clients is effectively reduced, and the conversion rate of the files is improved. The original agent allocation is implemented by a business office manager, and the allocation accuracy depends on personal experience of the business office manager and familiarity degree of the agent; the new scheme collects and integrates business manager operation experience, and packages the business manager operation experience into a unified algorithm, so that the distribution stability is ensured; the agent with insufficient service willingness is eliminated by dynamically servicing the agent list according to the willingness and the action of the agent through the agent touching operation feedback closed loop; related parameters are continuously optimized and regulated by tracking and analyzing the cue management effect, and the distribution accuracy of agents is improved.
The accuracy of the address resolution for obtaining the client ID (identification) may specifically include:
and acquiring a plurality of historical addresses corresponding to the client ID, counting y addresses, of which the number of the same address information is greater than a number threshold, in the plurality of historical addresses, determining the minimum area range from the y addresses to be the resolution precision of the address, wherein y is an integer greater than or equal to 1.
In the following, a practical example is described, for example, the addresses are Shenzhen (50 times), nan mountain (40 times), guangdong sea street (35 times), if the number threshold is 20 times, the Guangdong sea street with the minimum area range is determined as the accuracy of the address resolution, and this way can dynamically adjust the accuracy of the address resolution of the client ID, more match the active area of the client ID, and better be the agent of the matching area of the client ID.
The specific implementation method may be that if the address resolution precision of the client ID is that of the cantonese street in the south mountain area of Shenzhen city, the agent of the cantonese street is adapted from the service agent scope.
The above-mentioned matching may be performed by LBS (location based service, location Based Services), but may be performed by other means in practical applications.
Optionally, the determining the service agent scope according to the feature information may specifically include:
and forming the characteristic information into an input vector, performing vector multiplication operation on the input vector and a preset weight vector to obtain a product result, determining the grade of the characteristic information according to the range corresponding to the product result, and determining an agent with the grade higher than the grade of the characteristic information as a service agent range.
The method for forming the input vector specifically comprises the following steps:
if the characteristic information includes: when the quality deduction, customer complaint and the diamond manpower standard and the pre-supplementary recording parameter rate are achieved in the last half year, the input vector is formed by the quality deduction, customer complaint, the diamond manpower standard and the pre-supplementary recording parameter rate in sequence.
Optionally, the level of the above feature information may be adjusted as follows:
service data of the agent is obtained, service capability scores are calculated according to the service data, and the grade of the characteristic information of the agent is adjusted according to the service capability scores.
The method for adjusting the characteristic information of the agent according to the service data specifically includes: calculating a service data score, adjusting the level of the characteristic information up (e.g., up by one or two levels) if the service data score is above a set threshold, and adjusting the level of the characteristic information down (e.g., blind out by one or two levels) if the service data score is below the set threshold
As shown in Table 1, agent service capability score is calculated monthly from Table 1
Table 1:
wherein X is an actual value of an index, Y is an index reference value, Z is an index reference score, i is a label of the index, and alpha is a service capability score.
In an alternative, the method may further include:
and adjusting the grade of the characteristic information according to the service capability score and the service satisfaction score. The manner in which it adjusts the level of the characteristic information may be up-or down-regulated.
The service satisfaction score may be that after the contact customer completes the service, the customer is invited to evaluate the agent, including dimensions such as description compliance, response speed, service attitude, specialty, advantages/shortages, etc., based on the customer evaluation calculation.
Wherein B is an initial satisfaction score; p (P) i Each index star-level mapping score is evaluated for a single customer service, i is a label, N is the number of customer evaluation agent services at the latest set time (e.g., 1 month or 3 months), and β may be a service satisfaction score.
In an alternative, the method may further include:
and when the set condition is met, the agent is withdrawn from the database.
The setting conditions may include: the agent is not willing to automatically exit the candidate list; the agent continuously touches the customer for 3 times and pauses the service for 3 months; customer service evaluations were less than 60 minutes 2 consecutive times, with service suspended for 1 month.
In an alternative, the method may further include:
the method comprises the steps of obtaining a first identity of a first agent in a corresponding area, obtaining an agent characteristic vector of the first identity, obtaining a client characteristic vector of a client ID, performing vector subtraction on the two characteristic vectors to obtain a difference value, determining that the first agent is matched with the client ID if the difference value is smaller than a difference threshold value, determining that the first agent is not matched with the client ID if the difference value is larger than the difference threshold value, and shielding the client ID for the first agent.
There are various ways to obtain the first identity of the first agent, for example, to obtain the license of the first agent, and to extract the first identity of the license. Of course, the method may be implemented in other manners, and the application is not limited to the specific implementation scheme for obtaining the first identity of the first agent.
The implementation method for obtaining the client feature vector of the client ID specifically comprises the following steps:
obtaining a picture corresponding to a customer ID, establishing input data according to the picture, inputting the input data into a face recognition model, executing n-layer convolution operation to obtain an n-layer convolution operation result, inputting the n-layer convolution operation result into a full-connection layer, executing full-connection operation to obtain a full-connection calculation result, calculating a difference value between the full-connection calculation result and a preset face template result, if the difference value is smaller than a difference value threshold, determining that the identity of the customer ID is the identity of the preset face template by the UE, and extracting a customer feature vector corresponding to the identity.
In the technical scheme of the application, the electronic equipment is preconfigured with the mapping relation between the identity and the client feature vector, namely after the identity is determined, the client feature vector can be determined through the mapping relation.
In an optional solution, the inputting the input data into the face recognition model and performing the n-layer convolution operation to obtain the n-layer convolution operation result may specifically include:
the electronic device may be provided with a separate AI chip for performing authentication of the identity of the target object, the AI chip comprising: an allocation calculation processing circuit and x calculation processing circuits, the AI chip obtains matrix size CI x CH of input data, if the size of convolution kernel in n layers of convolution operation is 3*3 convolution kernel, the allocation calculation processing circuit divides CI x into CI/x data blocks according to CI direction (assuming CI is integer of x), the CI/x data blocks are allocated to x calculation processing circuits in sequence, the x calculation processing circuits respectively execute i layer convolution operation on 1 data block and i layer convolution kernel received and allocated to obtain i convolution result (i.e. x result matrix (CI/x-2) of x calculation processing circuits are combined in sequence to obtain i convolution result), edge 2 columns (2 columns calculated by adjacent columns are determined to be edge columns) of the i convolution result are sent to the allocation processing circuit, the x calculation processing circuits execute convolution operation on i+1) layer convolution result and i layer convolution result to obtain (i+1) convolution result, the i+1 (i) convolution result is sent to the i layer convolution circuit to combine the i layer convolution result with the i (i+1) by inserting the calculation result in sequence, the i (i+2) side edge columns calculated by the calculation processing circuit are combined with the i layer convolution result (i+1) by the calculation circuit, and (3) performing convolution operation on the (i+1) th combined data block and the (i+1) th convolution kernel to obtain an (i+1) th combined result, inserting the (i+1) th combined result between edge columns of the (i+1) th convolution result (the results of adjacent columns are obtained by calculation of different calculation processing circuits), so as to obtain an (i+1) th layer convolution result, and performing convolution kernel operation after the (i+1) th layer of residual convolution result by the AI chip according to the (i+1) th layer convolution result, so as to obtain an n-th layer convolution operation result. The combined data block may be a 4×ci matrix formed by 4 columns of data between 2 adjacent data blocks, for example, a 4×ch matrix formed by the last 2 columns of the 1 st data block (the data block allocated by the 1 st calculation processing circuit) and the first 2 columns of the 2 nd data block (the data block allocated by the 2 nd calculation processing circuit).
The calculation of the remaining convolution layers can also refer to the calculation of the ith layer and the (i+1) th layer, wherein i is an integer more than or equal to 1 and less than or equal to n, n is the total number of convolution layers of the AI model, i is the layer number of the convolution layers, CI is the column value of the matrix, and CH is the row value of the matrix.
It will be appreciated that the electronic device, in order to achieve the above-described functions, includes corresponding hardware and/or software modules that perform the respective functions. The steps of an algorithm for each example described in connection with the embodiments disclosed herein may be embodied in hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Those skilled in the art may implement the described functionality using different approaches for each particular application in conjunction with the embodiments, but such implementation is not to be considered as outside the scope of this application.
The present embodiment may divide the functional modules of the electronic device according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules described above may be implemented in hardware. It should be noted that, in this embodiment, the division of the modules is schematic, only one logic function is divided, and another division manner may be implemented in actual implementation.
In the case of dividing the respective functional modules by the respective functions, fig. 3 shows an electronic apparatus, the apparatus includes:
an obtaining unit 301, configured to obtain feature information of an agent, and determine a service agent range according to the feature information;
a processing unit 302, configured to obtain accuracy of address resolution of a client identifier; the agent matching the area corresponding to the accuracy from the service agent range assigns the client identification to the agent of the corresponding area.
Wherein the acquisition unit 301 may be used to support the electronic device to perform the above-described step 201 and/or for other processes of the techniques described herein, and the processing unit 302 is used to support the electronic device to perform the above-described step 202 and/or for other processes of the techniques described herein.
It should be noted that, all relevant contents of each step related to the above method embodiment may be cited to the functional description of the corresponding functional module, which is not described herein.
The electronic device provided in this embodiment is configured to perform the above-described position determining method, so that the same effects as those of the above-described implementation method can be achieved.
In case an integrated unit is employed, the electronic device may comprise a processing module, a storage module and a communication module. The processing module may be configured to control and manage an action of the electronic device, for example, may be configured to support the electronic device to execute the steps executed by the acquiring unit 301 and the processing unit 302. The memory module may be used to support the electronic device to execute stored program code, data, etc. And the communication module can be used for supporting the communication between the electronic device and other devices.
Wherein the processing module may be a processor or a controller. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. A processor may also be a combination that performs computing functions, e.g., including one or more microprocessors, digital signal processing (digital signal processing, DSP) and microprocessor combinations, and the like. The memory module may be a memory. The communication module can be a radio frequency circuit, a Bluetooth chip, a Wi-Fi chip and other equipment which interact with other electronic equipment.
In one embodiment, when the processing module is a processor and the storage module is a memory, the electronic device according to this embodiment may be a device having the structure shown in fig. 1.
The embodiment of the application also provides an electronic device, which comprises a processor and a memory, wherein the memory is used for storing one or more programs and is configured to be executed by the processor, the programs comprise instructions for executing the following steps, and the following steps specifically can comprise:
acquiring characteristic information of the agent, and determining the range of the service agent according to the characteristic information;
the accuracy of address resolution of a client identifier is acquired, an agent in a region corresponding to the accuracy is matched from the service agent range, and the client identifier is assigned to the agent in the corresponding region.
The instructions of the program execution may further include a refinement of step S201 and step S202 shown in fig. 2, and of course, the program instructions may also include an alternative of the embodiment shown in fig. 2. And will not be described in detail here.
The present application also provides a computer storage medium storing a computer program for electronic data exchange, the computer program causing a computer to execute some or all of the steps of any one of the methods described in the method embodiments above.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (7)

1. An agent allocation method for obtaining a new customer through internet, which is applied to an electronic device, the method comprising:
the electronic equipment obtains the characteristic information of the agent, and determines the range of the service agent according to the characteristic information, wherein the characteristic information comprises span, quality deduction in the last half year, customer complaint, and meeting of diamond manpower standard and mastering front meeting rate, and the determining the range of the service agent according to the characteristic information comprises the following steps: sequentially forming numerical values of the span, quality deduction in the last half year, customer complaints, diamond manpower standard achievement and pre-entry reference rate into input vectors, performing vector multiplication operation on the input vectors and preset weight vectors to obtain product results, determining the grade of the characteristic information according to the range corresponding to the product results, and determining agents with the grade higher than the preset grade as service agent ranges;
the method comprises the steps of obtaining the accuracy of address resolution of a client identifier, matching agents of a region corresponding to the accuracy from the service agents, and distributing the client identifier to the agents of the corresponding region, wherein the obtaining the accuracy of address resolution of the client identifier comprises the following steps: acquiring a plurality of historical addresses corresponding to the client ID, counting y addresses, of which the number of the same address information is greater than a number threshold, in the plurality of historical addresses, determining the minimum area range from the y addresses to be the accuracy of address resolution, wherein y is an integer greater than or equal to 1, and the client identifier is the client identifier of a new client;
the grade of the corresponding regional agent is higher than the grade of the characteristic information, and the grade of the characteristic information is determined by the product result obtained by calculating the input data of the characteristic information and the preset weight vector;
the method further comprises the steps of:
adjusting the level of the feature information, comprising:
adjusting the grade of the characteristic information according to the service capability score and the service satisfaction score;
wherein B is an initial satisfaction score; p (P) i Each index star-level mapping score is evaluated for single customer service, i is a label, N is the number of times the customer evaluation agent service is performed at the latest set time, and beta is a service satisfaction score.
2. The method according to claim 1, wherein the method further comprises: the step of adjusting the level of the characteristic information specifically comprises:
calculating service capability scores according to service data of agents, if the service data scores are higher than a set threshold, then the grade of the characteristic information is adjusted upwards, and if the service data scores are lower than the set threshold, then the grade of the characteristic information is adjusted downwards.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
wherein x is an actual value of an index, y is an index reference value, Z is an index reference score, i is a label of the index, and alpha is a service capability score.
4. The method according to claim 1, wherein the method further comprises:
if the set condition is met, the agent is deleted from the service agent range.
5. An electronic device, the electronic device comprising:
the acquisition unit is used for acquiring the characteristic information of the agent, and determining the range of the service agent according to the characteristic information, wherein the characteristic information comprises span, quality deduction in the last half year, customer complaints, and meeting of the diamond manpower standard and the mastering front participant rate;
the acquisition unit is further used for sequentially forming numerical values of the span, the quality deduction in the last half year, the customer complaint, the diamond manpower standard and the parameter rate before the supplementary recording into an input vector, performing vector multiplication operation on the input vector and a preset weight vector to obtain a product result, determining the grade of the characteristic information according to a range corresponding to the product result, and determining an agent with the grade higher than the preset grade as a service agent range;
the processing unit is used for acquiring the accuracy of address resolution of the client identifier; matching agents in the area corresponding to the precision from the service agent range, and distributing client identifications to agents in the corresponding area, wherein the client identifications are client identifications of new clients;
the processing unit is further used for acquiring a plurality of historical addresses corresponding to the client ID, counting y addresses, of which the number of the same address information is larger than a number threshold, in the plurality of historical addresses, determining the minimum area range from the y addresses to be the resolution precision of the address, wherein y is an integer larger than or equal to 1;
the grade of the corresponding regional agent is higher than the grade of the characteristic information, and the grade of the characteristic information is determined by the product result obtained by calculating the input data of the characteristic information and the preset weight vector;
the electronic device further includes:
a unit for adjusting the level of the feature information, for adjusting the level of the feature information according to the service capability score and the service satisfaction score;
wherein B is an initial satisfaction score; p (P) i Each index star-level mapping score is evaluated for single customer service, i is a label, N is the number of times the customer evaluation agent service is performed at the latest set time, and beta is a service satisfaction score.
6. An electronic device comprising a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-4.
7. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-4.
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