CN117312673A - Enterprise customer recommendation method, system, electronic equipment and medium - Google Patents
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Abstract
The invention belongs to the technical field of computers, and aims to provide an enterprise client recommendation method, an enterprise client recommendation system, electronic equipment and a medium. The invention can analyze the transaction information generated by the cooperation condition between the upstream and downstream enterprise-level clients and the current enterprise users and the enterprise client information of the corresponding enterprise to obtain the enterprise client total weight corresponding to the enterprise name, and carry out enterprise client recommendation on the enterprise corresponding to the enterprise name according to the enterprise client total weight, thereby evaluating the value of the enterprise client to the appointed enterprise user in a quantitative calculation mode, facilitating the execution of the custom maintenance measures of the enterprise client by business personnel, being beneficial to reducing the enterprise client information collection cost and increasing the custom maintenance efficiency.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to an enterprise client recommendation method, an enterprise client recommendation system, electronic equipment and a medium.
Background
At present, when enterprise users such as pharmaceutical enterprises cooperate with massive enterprise-level clients, service personnel are generally adopted to manually acquire client information, transaction information and other information of the enterprise clients, and client relationship maintenance is carried out based on the client information and the transaction information of each enterprise client.
However, in using the prior art, the inventors found that there are at least the following problems in the prior art:
because the business and trade conditions of enterprise clients are complex, manual client information acquisition is difficult and the accuracy is low, and information of different enterprise clients is manually analyzed by business personnel, so that the labor cost is overlarge, and the customer condition maintenance efficiency is too low.
Disclosure of Invention
The invention aims to solve the technical problems at least to a certain extent, and provides an enterprise client recommendation method, an enterprise client recommendation system, electronic equipment and a medium.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides an enterprise client recommendation method, including:
receiving an enterprise name, judging whether an enterprise corresponding to the enterprise name has a transaction relation with a designated enterprise according to an enterprise client database, and if so, entering the next step;
obtaining transaction information between the enterprise corresponding to the enterprise name and the appointed enterprise from the enterprise client database, and obtaining enterprise client transaction weight corresponding to the enterprise name according to the transaction information;
acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
obtaining an enterprise client total weight corresponding to the enterprise name according to the enterprise client transaction weight and the enterprise client comprehensive weight;
and recommending the enterprise client according to the enterprise client total weight, wherein the enterprise client is corresponding to the enterprise name.
The invention can analyze the transaction information generated by the cooperation condition between the upstream and downstream enterprise-level clients and the current enterprise users and the enterprise client information of the corresponding enterprise to obtain the enterprise client total weight corresponding to the enterprise name, and carry out enterprise client recommendation on the enterprise corresponding to the enterprise name according to the enterprise client total weight, thereby evaluating the value of the enterprise client to the appointed enterprise user in a quantitative calculation mode, facilitating the execution of the custom maintenance measures of the enterprise client by business personnel, being beneficial to reducing the enterprise client information collection cost and increasing the custom maintenance efficiency.
In one possible design, the transaction information includes a transaction total, a historical transaction order amount, and a historical return order amount; correspondingly, obtaining the business client transaction weight corresponding to the business name according to the transaction information comprises the following steps:
obtaining transaction information of all enterprise clients from the enterprise client database, and obtaining average transaction amount, average transaction amount and average return bill amount according to the transaction information of all enterprise clients;
obtaining the transaction amount specific gravity of the enterprise client according to the transaction total amount and the average transaction amount; wherein the enterprise customer transaction amount specific gravity is a ratio of the transaction total amount to the average transaction amount;
obtaining the specific gravity of the transaction amount of the enterprise client according to the historical transaction amount and the average transaction amount; wherein the enterprise customer trading order volume specific gravity is the ratio of the historical trading order volume to the average trading order volume;
obtaining the specific gravity of the inventory returning amount of the enterprise client according to the historical inventory returning amount and the average inventory returning amount; wherein the enterprise customer return bill specific gravity is the ratio of the historical return bill quantity to the average return bill quantity;
and obtaining the enterprise client transaction weight corresponding to the enterprise name according to the enterprise client transaction amount specific gravity, the enterprise client transaction single weight specific gravity and the enterprise client return bill weight specific gravity.
In one possible design, the type of transaction information includes purchase information and/or sales information; correspondingly, the enterprise client transaction weight includes an enterprise client purchase weight corresponding to the purchase information and/or an enterprise client sales weight corresponding to the sales information.
In one possible design, the enterprise customer information includes business scope, registered capital, social security payees, and complaints; correspondingly, obtaining the enterprise client comprehensive weight corresponding to the enterprise name according to the enterprise client information comprises the following steps:
acquiring enterprise client information of all enterprise clients from the enterprise client database, and acquiring a weight configuration relation table according to the enterprise client information of all enterprise clients;
obtaining the business scope weight corresponding to the business name according to the business category number belonging to the appointed business category in the business scope and according to the business category number and the weight configuration relation table;
obtaining a registered capital weight corresponding to the enterprise name according to the registered capital and the weight configuration relation table;
obtaining social security payment number weight corresponding to the enterprise name according to the social security payment number and the weight configuration relation table;
obtaining the complaint number weight corresponding to the enterprise name according to the complaint number and the weight configuration relation table;
obtaining an enterprise client comprehensive weight corresponding to the enterprise name according to the operation range weight, the registered capital weight, the social security payment number weight and the complaint number weight; the enterprise client comprehensive weight is the sum of the operation range weight, the registered capital weight, the social security payment number weight and the complaint number weight.
In one possible design, judging whether the enterprise corresponding to the enterprise name has a transaction relation with the appointed enterprise according to an enterprise client database, if not, entering the next step;
acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
and recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the enterprise client comprehensive weights.
In one possible design, after receiving the business name, the method further comprises:
judging whether an enterprise corresponding to the enterprise name has an associated enterprise with an association relationship according to the enterprise name, if so, entering the next step;
and acquiring the name of the associated enterprise, judging whether the associated enterprise has a transaction relationship with the appointed enterprise according to an enterprise client database, and if not, creating enterprise client data of the associated enterprise.
In one possible design, making an enterprise customer recommendation for an enterprise corresponding to the enterprise name according to the enterprise customer total weight includes:
receiving a service purchase request corresponding to the enterprise name; wherein the service purchase request includes service identification information and the business name;
acquiring a service reference price corresponding to the service identification information according to the service identification information in the service purchase request;
obtaining a service purchase price according to the total weight of the enterprise clients and the service reference price;
and outputting service push information bound with the service purchase price and the enterprise name.
In a second aspect, the present invention provides an enterprise client recommendation system, configured to implement an enterprise client recommendation method as set forth in any one of the above; the enterprise client recommendation system includes:
the enterprise information receiving module is used for receiving the enterprise name;
the basic weight acquisition module is in communication connection with the enterprise information receiving module and is used for judging whether an enterprise corresponding to the enterprise name generates a transaction relation with a designated enterprise according to an enterprise client database, if so, acquiring transaction information between the enterprise corresponding to the enterprise name and the designated enterprise from the enterprise client database, and acquiring enterprise client transaction weight corresponding to the enterprise name according to the transaction information; the basic weight acquisition module is further used for acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
the total weight acquisition module is in communication connection with the basic weight acquisition module and is used for obtaining the total weight of the enterprise client corresponding to the enterprise name according to the transaction weight of the enterprise client and the comprehensive weight of the enterprise client;
and the recommending module is in communication connection with the total weight acquiring module and is used for recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the total weight of the enterprise clients.
In a third aspect, the present invention provides an electronic device, comprising:
a memory for storing computer program instructions; the method comprises the steps of,
a processor for executing the computer program instructions to perform the operations of the enterprise client recommendation method as claimed in any one of the preceding claims.
In a fourth aspect, the present invention provides a computer readable storage medium storing computer program instructions readable by a computer, the computer program instructions being configured to perform operations of the enterprise client recommendation method as claimed in any one of the preceding claims when run.
Drawings
FIG. 1 is a flow chart of an enterprise client recommendation method in an embodiment;
FIG. 2 is a block diagram of a module of an enterprise client recommendation system in an embodiment;
fig. 3 is a block diagram of an electronic device in an embodiment.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly described below with reference to the accompanying drawings and the description of the embodiments or the prior art, and it is obvious that the following description of the structure of the drawings is only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art. It should be noted that the description of these examples is for aiding in understanding the present invention, but is not intended to limit the present invention.
Example 1:
the present embodiment discloses an enterprise client recommendation method, which may be performed by, but not limited to, a computer device or a virtual machine with a certain computing resource, for example, an electronic device such as a personal computer, a smart phone, a personal digital assistant or a wearable device, or a virtual machine.
As shown in FIG. 1, an enterprise client recommendation method may include, but is not limited to, the following steps:
s1, receiving an enterprise name, judging whether an enterprise corresponding to the enterprise name has a transaction relation with a designated enterprise according to an enterprise client database, and if so, entering the next step.
In step S1, judging whether the enterprise corresponding to the enterprise name generates a transaction relation with the appointed enterprise according to an enterprise client database, if not, entering the next step;
acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
and recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the enterprise client comprehensive weights.
In this embodiment, when the business corresponding to the business name and the designated business have a transaction relationship, the business client transaction weight corresponding to the business name may be obtained according to the transaction information between the business and the designated business, then the business client comprehensive weight corresponding to the business name is obtained, and the business client recommendation is performed on the business corresponding to the business name according to the business client transaction weight and the business client total weight obtained by the business client comprehensive weight. And when the enterprise corresponding to the enterprise name and the appointed enterprise do not generate a transaction relationship, the enterprise client recommendation is directly carried out on the enterprise corresponding to the enterprise name according to the enterprise client comprehensive weight, so that recommendation distinction of different types of clients can be realized.
S2, acquiring transaction information between the enterprise corresponding to the enterprise name and the appointed enterprise from the enterprise client database, and acquiring enterprise client transaction weight corresponding to the enterprise name according to the transaction information; in this embodiment, the designated business is I.S. or other business requiring customer analysis, and is not limited herein. It should be noted that, in this embodiment, the calculation of the business client transaction weight may be performed through the transaction information related to the sales, purchasing, etc. transaction actions generated by the client, so as to obtain the potential consumption capability of the current business client and the transaction frequency with the designated business based on the calculation.
In this embodiment, the transaction information includes a transaction total, a historical transaction amount, and a historical return amount; correspondingly, obtaining the business client transaction weight corresponding to the business name according to the transaction information comprises the following steps:
s201, acquiring transaction information of all enterprise clients from the enterprise client database, and acquiring average transaction amount, average transaction amount and average return bill amount according to the transaction information of all enterprise clients;
s202, obtaining the transaction amount specific gravity of the enterprise client according to the transaction total amount and the average transaction amount; wherein the enterprise customer transaction amount specific gravity is a ratio of the transaction total amount to the average transaction amount;
s203, obtaining the specific gravity of the transaction amount of the enterprise client according to the historical transaction amount and the average transaction amount; wherein the enterprise customer trading order volume specific gravity is the ratio of the historical trading order volume to the average trading order volume;
s204, obtaining the specific gravity of the inventory return amount of the enterprise client according to the historical inventory return amount and the average inventory return amount; wherein the enterprise customer return bill specific gravity is the ratio of the historical return bill quantity to the average return bill quantity;
s205, obtaining the business client transaction weight corresponding to the business name according to the business client transaction amount specific gravity, the business client transaction list specific gravity and the business client return list specific gravity.
Specifically, in this embodiment, the business client transaction weight corresponding to the business i is:
W i ＝[W i1 +W i2 -(1-W i3 )]/3；
in which W is i1 Trade volume and specific weight for enterprise clients, W i2 Trade single volume specific gravity, W for enterprise customers i3 The specific gravity of the return bill is the enterprise customer.
For example, when the business corresponding to the business name is company a, if the business customer transaction amount specific gravity corresponding to company a is 120%, the business customer transaction amount specific gravity corresponding to company a is 75%, and the business customer return form amount specific gravity corresponding to company a is 90%, the business customer transaction weight corresponding to company a is [120% +75% - (1-90%) ]/3= 61.67%.
Specifically, in this embodiment, the type of the transaction information includes purchase information and/or sales information; correspondingly, the enterprise client transaction weight includes an enterprise client purchase weight corresponding to the purchase information and/or an enterprise client sales weight corresponding to the sales information.
It should be noted that, the larger the purchasing weight of the enterprise client and the sales weight of the enterprise client, the higher the collaboration value of the enterprise corresponding to the enterprise name is on behalf of the enterprise.
In this embodiment, if the transaction information corresponding to a certain enterprise client only includes purchasing information or sales information, the enterprise client purchasing weight corresponding to the purchasing information or the enterprise client sales weight corresponding to the sales information accounts for 100% of the final enterprise client sales weight corresponding to the purchasing information or the sales information. If the transaction information corresponding to a certain enterprise client includes both purchase information and sales information, the enterprise client purchase weight corresponding to the purchase information and the enterprise client sales weight corresponding to the sales information both account for 50% of the final enterprise client sales weight corresponding to the purchase information, that is, the final enterprise client sales weight=50% of the enterprise client purchase weight+50% of the enterprise client sales weight.
S3, acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information; in this embodiment, the obtaining of the enterprise client information corresponding to the enterprise name may be implemented, but not limited to, by calling an interface of an enterprise query platform, such as an interface of an enterprise query platform, for example, tianyan query, ai qi query, qi query, and the like.
In this embodiment, the enterprise client information includes an operation range, a registered capital, a social security payment number and a complaint number; correspondingly, obtaining the enterprise client comprehensive weight corresponding to the enterprise name according to the enterprise client information comprises the following steps:
s301, acquiring enterprise client information of all enterprise clients from the enterprise client database, and acquiring a weight configuration relation table according to the enterprise client information of all enterprise clients; specifically, in this embodiment, the weight configuration relationship table includes enterprise client information in different ranges and corresponding configuration weights, where the configuration weights may be determined based on the duty ratio dynamics of the enterprise client information in all enterprise clients in different ranges, for example, the business scope weights in the weight configuration relationship table may be set as follows: when the number of the operation categories containing the medical drugs in the operation range is 1-5, the weight of the corresponding operation range is 20%; when the number of the operation categories containing the medical drugs in the operation range is more than 5, the weight of the corresponding operation range is 25%. Correspondingly, the registered capital weights in the weight configuration relationship table may be set to: when the registered capital is less than or equal to 100 ten thousand, the corresponding registered capital weight is 5%; when the registered capital is more than 100 ten thousand and less than 500 ten thousand, the corresponding registered capital weight is 15%; when the registered capital is greater than 500 ten thousand, the corresponding registered capital weight is 25%. The social security payment number weight in the weight configuration relation table can be set as follows: when the social security payment number is 1-50, the corresponding social security payment number weight is 20%; when the social security payment number is 50-100, the corresponding social security payment number weight is 25%; when the social security payment number is more than 100, the corresponding social security payment number weight is 30%. The complaint number weight in the weight configuration relation table may be set as: when the number of complaints is 0, the weight of the corresponding number of complaints is 15%; when the number of complaints is 1, the weight of the corresponding number of complaints is 10%; when the number of complaints is 2, the weight of the corresponding number of complaints is 5%, and so on.
S302, obtaining the business scope weight corresponding to the business name according to the business category number belonging to the appointed business category in the business scope and according to the business category number and the weight configuration relation table;
s303, obtaining the registered capital weight corresponding to the enterprise name according to the registered capital and the weight configuration relation table;
s304, obtaining social security payment number weight corresponding to the enterprise name according to the social security payment number and the weight configuration relation table;
s305, obtaining the complaint number weight corresponding to the enterprise name according to the complaint number and the weight configuration relation table;
s306, obtaining enterprise customer comprehensive weights corresponding to the enterprise names according to the operation range weights, the registered capital weights, the social security payment number weights and the complaint number weights; the enterprise client comprehensive weight is the sum of the operation range weight, the registered capital weight, the social security payment number weight and the complaint number weight.
For example, in this embodiment, when the enterprise corresponding to the enterprise name is company a, if 7 items of the operating range of company a are in accordance with the operating range of the medical drugs, the operating range is 25%; the registered capital is 300 ten thousand, and the registered capital weight is 15%; the social security payment number is 80, and the social security payment number weight is 25%; the number of complaints is 2, the weight of the number of complaints is 5%, and the comprehensive weight of the enterprise clients of the final A company is as follows: 25% +15% +25% +5% = 70%.
In this embodiment, a weight configuration relationship table is obtained according to enterprise client information of all enterprise clients, and then an enterprise client comprehensive weight is obtained based on the weight configuration relationship table and the enterprise client information corresponding to the enterprise name, so that dynamic update of the enterprise client comprehensive weight can be realized.
S4, obtaining an enterprise client total weight corresponding to the enterprise name according to the enterprise client transaction weight and the enterprise client comprehensive weight; in this embodiment, the transaction weight of the enterprise client and the comprehensive weight of the enterprise client both account for 50% of the total weight of the corresponding enterprise client, and for example, when the enterprise corresponding to the enterprise name is the a company, if the transaction weight of the enterprise client corresponding to the a company is 61.67%, the comprehensive weight of the enterprise client corresponding to the a company is 70%, the total weight of the enterprise client corresponding to the a company is: 70% +61.67% = 65.84% by 50% = 50%.
S5, recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the total weights of the enterprise clients.
In step S5, performing enterprise client recommendation on the enterprise corresponding to the enterprise name according to the total weight of the enterprise client, including:
s501, receiving a service purchase request corresponding to the enterprise name; wherein the service purchase request includes service identification information and the business name;
s502, acquiring a service reference price corresponding to the service identification information according to the service identification information in the service purchase request;
s503, obtaining a service purchase price according to the total weight of the enterprise clients and the service reference price;
s504, outputting service push information bound with the service purchase price and the enterprise name.
Specifically, in this embodiment, taking company a as an example, if the reference price of the designated service is 50000 yuan, since the total weight of the enterprise clients corresponding to company a is 65.84%, the service purchase price can be given through intelligent recommendation as follows: 50000+ [50000 (1-65.84%) ] =67080 (yuan).
It should be understood that the service purchase request may be pushed to the enterprise user side or the business terminal through the enterprise user side or the business terminal corresponding to the enterprise name, so as to improve the data advantage of transaction negotiation performed by the business personnel.
In this embodiment, the size of the total weight of the enterprise client characterizes the cooperative value of the corresponding enterprise client, based on which, enterprise client recommendation is performed on the enterprise corresponding to the enterprise name according to the total weight of the enterprise client, and the information of the enterprise corresponding to the enterprise name may be pushed to a business terminal by using the total weight of the enterprise client as the enterprise client recommendation frequency, so that business personnel can perform customer condition maintenance on the corresponding client, or using the total weight of the enterprise client as the maintenance information sending frequency, so that the background sends customer condition maintenance information to the enterprise user terminal corresponding to the enterprise name according to the maintenance information sending frequency.
According to the method and the system, transaction information generated by cooperation conditions between the upstream enterprise-level clients and current enterprise users and enterprise client information of corresponding enterprises can be analyzed to obtain enterprise client total weights corresponding to the enterprise names, enterprise client recommendation is conducted on the enterprises corresponding to the enterprise names according to the enterprise client total weights, and therefore the value of the enterprise clients to appointed enterprise users can be evaluated in a quantitative calculation mode, business personnel can conveniently execute customer condition maintenance measures of the enterprise clients, reduction of enterprise client information collection cost can be facilitated, and customer condition maintenance efficiency is improved.
In order to expand the enterprise client group, in step S1 of this embodiment, after receiving the enterprise name, the method further includes:
judging whether an enterprise corresponding to the enterprise name has an associated enterprise with an association relationship according to the enterprise name, if so, entering the next step;
and acquiring the name of the associated enterprise, judging whether the associated enterprise has a transaction relationship with the appointed enterprise according to an enterprise client database, and if not, creating enterprise client data of the associated enterprise.
In this embodiment, the association relationship is set to be a stock relationship, and the enterprise corresponding to the enterprise name has an association enterprise with the association relationship as a parent company, and the parent company can control and govern personnel, finance, business and other matters of other companies, so that the client value is higher. In this embodiment, when an enterprise corresponding to the enterprise name has an associated enterprise having an association relationship with the enterprise, the enterprise client data of the associated enterprise may be marked as a priority recommendation. Meanwhile, judging whether the related enterprise and the appointed enterprise have a transaction relation according to an enterprise client database, if so, after the enterprise client comprehensive weight corresponding to the related enterprise name is obtained subsequently, improving the enterprise client comprehensive weight corresponding to the related enterprise name by 20%.
In this embodiment, by determining whether the enterprise corresponding to the enterprise name has an associated enterprise having an association relationship with the enterprise name, the subordinate relationship of the enterprise client can be verified, so as to expand the client group of the designated enterprise.
In addition, in this embodiment, after the transaction information between the enterprise corresponding to the enterprise name and the designated enterprise is obtained, service pushing information and/or payment mode information corresponding to the transaction information may be further pushed to the commerce terminal, so that the commerce personnel can recommend service products to the enterprise client corresponding to the enterprise name based on the service pushing information and/or payment mode information. For example, if the customer history purchase service included in the transaction information is a financial module, a transaction module, and a purchase module, and the transaction module has the highest usage rate, then it may be determined that the module that the enterprise customer is most likely to continue purchasing or paying is the transaction module, and the service purchase price for opening the service is obtained according to the total weight of the enterprise customer, so as to send service push information including the transaction module and the service purchase price for opening the function to the corresponding commerce terminal, where the service purchase price=service reference price is a comprehensive weight, for example: the service reference price is 5000 yuan, the total weight of enterprise clients corresponding to the clients is 95 percent, and the service purchase price is 5000 x 95 percent=4750 yuan; if the number of times of using the prepayment payment method is the largest when the corresponding enterprise client purchases the service in the transaction information in the history, the payment mode that the enterprise client is most likely to continue purchasing or paying can be judged to be prepayment, and based on the payment mode, service push information comprising the prepayment transaction information can be sent to the corresponding business terminal.
In this embodiment, when the client weight is calculated, there is an inaccurate or erroneous information, so after receiving the name of the enterprise, whether the recorded information is correct or not is checked by tracing the historical data according to the information. Specifically, in this implementation, after receiving the name of the enterprise, the method further includes:
acquiring an enterprise unified credit code corresponding to the enterprise name;
and calling enterprise query platform interfaces such as Tianyan query, love query, enterprise query and the like, querying query names matched with the enterprise unified credit codes, and if the query names returned by more than 2 enterprise query platform interfaces are consistent and are not matched with the enterprise names, updating the enterprise names into query names.
For example, if the enterprise name is Beijing XX pharmacy Limited company, if the query names returned by more than 2 enterprise query platform interfaces are Beijing XX pharmacy Limited company, updating the enterprise name to the Beijing XX pharmacy Limited company, and synchronously updating the corresponding enterprise client information.
Example 2:
the embodiment discloses an enterprise client recommendation system, which is used for realizing the enterprise client recommendation method in the embodiment 1; as shown in fig. 2, the enterprise client recommendation system includes:
the enterprise information receiving module is used for receiving the enterprise name;
the basic weight acquisition module is in communication connection with the enterprise information receiving module and is used for judging whether an enterprise corresponding to the enterprise name generates a transaction relation with a designated enterprise according to an enterprise client database, if so, acquiring transaction information between the enterprise corresponding to the enterprise name and the designated enterprise from the enterprise client database, and acquiring enterprise client transaction weight corresponding to the enterprise name according to the transaction information; the basic weight acquisition module is further used for acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
the total weight acquisition module is in communication connection with the basic weight acquisition module and is used for obtaining the total weight of the enterprise client corresponding to the enterprise name according to the transaction weight of the enterprise client and the comprehensive weight of the enterprise client;
and the recommending module is in communication connection with the total weight acquiring module and is used for recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the total weight of the enterprise clients.
Example 3:
on the basis of embodiment 1 or 2, this embodiment discloses an electronic device, which may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like. An electronic device may be referred to as being used for a terminal, a portable terminal, a desktop terminal, etc., as shown in fig. 3, the electronic device includes:
a memory for storing computer program instructions; the method comprises the steps of,
a processor configured to execute the computer program instructions to perform the operations of the enterprise client recommendation method of any one of embodiment 1.
In particular, processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 301 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 301 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen.
Memory 302 may include one or more computer-readable storage media, which may be non-transitory. Memory 302 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 302 is used to store at least one instruction for execution by processor 301 to implement the enterprise client recommendation method provided by embodiment 1 in the present application.
In some embodiments, the terminal may further optionally include: a communication interface 303, and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. The respective peripheral devices may be connected to the communication interface 303 through a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power supply 306.
The communication interface 303 may be used to connect at least one peripheral device associated with an I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 301, the memory 302, and the communication interface 303 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 304 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 304 communicates with a communication network and other communication devices via electromagnetic signals.
The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof.
The power supply 306 is used to power the various components in the electronic device.
Example 4:
on the basis of any one of embodiments 1 to 3, this embodiment discloses a computer-readable storage medium for storing computer-readable computer program instructions configured to perform the operations of the enterprise client recommendation method described in embodiment 1 when run.
It will be apparent to those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored in a memory device for execution by the computing devices, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solution of the present invention, and not limiting thereof; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced by equivalents. Such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An enterprise client recommendation method is characterized in that: comprising the following steps:
receiving an enterprise name, judging whether an enterprise corresponding to the enterprise name has a transaction relation with a designated enterprise according to an enterprise client database, and if so, entering the next step;
obtaining transaction information between the enterprise corresponding to the enterprise name and the appointed enterprise from the enterprise client database, and obtaining enterprise client transaction weight corresponding to the enterprise name according to the transaction information;
acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
obtaining an enterprise client total weight corresponding to the enterprise name according to the enterprise client transaction weight and the enterprise client comprehensive weight;
and recommending the enterprise client according to the enterprise client total weight, wherein the enterprise client is corresponding to the enterprise name.
2. The enterprise client recommendation method of claim 1, wherein: the transaction information comprises transaction total, historical transaction bill quantity and historical return bill quantity; correspondingly, obtaining the business client transaction weight corresponding to the business name according to the transaction information comprises the following steps:
obtaining transaction information of all enterprise clients from the enterprise client database, and obtaining average transaction amount, average transaction amount and average return bill amount according to the transaction information of all enterprise clients;
obtaining the transaction amount specific gravity of the enterprise client according to the transaction total amount and the average transaction amount; wherein the enterprise customer transaction amount specific gravity is a ratio of the transaction total amount to the average transaction amount;
obtaining the specific gravity of the transaction amount of the enterprise client according to the historical transaction amount and the average transaction amount; wherein the enterprise customer trading order volume specific gravity is the ratio of the historical trading order volume to the average trading order volume;
obtaining the specific gravity of the inventory returning amount of the enterprise client according to the historical inventory returning amount and the average inventory returning amount; wherein the enterprise customer return bill specific gravity is the ratio of the historical return bill quantity to the average return bill quantity;
and obtaining the enterprise client transaction weight corresponding to the enterprise name according to the enterprise client transaction amount specific gravity, the enterprise client transaction single weight specific gravity and the enterprise client return bill weight specific gravity.
3. The enterprise client recommendation method of claim 1, wherein: the type of the transaction information comprises purchasing information and/or sales information; correspondingly, the enterprise client transaction weight includes an enterprise client purchase weight corresponding to the purchase information and/or an enterprise client sales weight corresponding to the sales information.
4. The enterprise client recommendation method of claim 1, wherein: the enterprise client information comprises an operation range, registered capital, social security payment number and complaint number; correspondingly, obtaining the enterprise client comprehensive weight corresponding to the enterprise name according to the enterprise client information comprises the following steps:
acquiring enterprise client information of all enterprise clients from the enterprise client database, and acquiring a weight configuration relation table according to the enterprise client information of all enterprise clients;
obtaining the business scope weight corresponding to the business name according to the business category number belonging to the appointed business category in the business scope and according to the business category number and the weight configuration relation table;
obtaining a registered capital weight corresponding to the enterprise name according to the registered capital and the weight configuration relation table;
obtaining social security payment number weight corresponding to the enterprise name according to the social security payment number and the weight configuration relation table;
obtaining the complaint number weight corresponding to the enterprise name according to the complaint number and the weight configuration relation table;
obtaining an enterprise client comprehensive weight corresponding to the enterprise name according to the operation range weight, the registered capital weight, the social security payment number weight and the complaint number weight; the enterprise client comprehensive weight is the sum of the operation range weight, the registered capital weight, the social security payment number weight and the complaint number weight.
5. The enterprise client recommendation method of claim 1, wherein: judging whether the enterprise corresponding to the enterprise name has a transaction relation with the appointed enterprise according to an enterprise client database, if not, entering the next step;
acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
and recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the enterprise client comprehensive weights.
6. The enterprise client recommendation method of claim 1, wherein: after receiving the name of the enterprise, the method further comprises:
judging whether an enterprise corresponding to the enterprise name has an associated enterprise with an association relationship according to the enterprise name, if so, entering the next step;
and acquiring the name of the associated enterprise, judging whether the associated enterprise has a transaction relationship with the appointed enterprise according to an enterprise client database, and if not, creating enterprise client data of the associated enterprise.
7. The enterprise client recommendation method of claim 1, wherein: and recommending the enterprise client according to the enterprise client total weight, wherein the enterprise client recommending the enterprise corresponding to the enterprise name comprises the following steps:
receiving a service purchase request corresponding to the enterprise name; wherein the service purchase request includes service identification information and the business name;
acquiring a service reference price corresponding to the service identification information according to the service identification information in the service purchase request;
obtaining a service purchase price according to the total weight of the enterprise clients and the service reference price;
and outputting service push information bound with the service purchase price and the enterprise name.
8. An enterprise client recommendation system, characterized in that: for implementing the enterprise client recommendation method of any one of claims 1 to 7; the enterprise client recommendation system includes:
the enterprise information receiving module is used for receiving the enterprise name;
the basic weight acquisition module is in communication connection with the enterprise information receiving module and is used for judging whether an enterprise corresponding to the enterprise name generates a transaction relation with a designated enterprise according to an enterprise client database, if so, acquiring transaction information between the enterprise corresponding to the enterprise name and the designated enterprise from the enterprise client database, and acquiring enterprise client transaction weight corresponding to the enterprise name according to the transaction information; the basic weight acquisition module is further used for acquiring enterprise client information corresponding to the enterprise name according to the enterprise name, and acquiring enterprise client comprehensive weights corresponding to the enterprise name according to the enterprise client information;
the total weight acquisition module is in communication connection with the basic weight acquisition module and is used for obtaining the total weight of the enterprise client corresponding to the enterprise name according to the transaction weight of the enterprise client and the comprehensive weight of the enterprise client;
and the recommending module is in communication connection with the total weight acquiring module and is used for recommending the enterprise clients to the enterprises corresponding to the enterprise names according to the total weight of the enterprise clients.
9. An electronic device, characterized in that: comprising the following steps:
a memory for storing computer program instructions; the method comprises the steps of,
a processor for executing the computer program instructions to perform the operations of the enterprise client recommendation method of any one of claims 1 to 7.
10. A computer readable storage medium storing computer program instructions readable by a computer, characterized by: the computer program instructions are configured to perform the operations of the enterprise client recommendation method of any one of claims 1 to 7 when run.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311315731.0A CN117312673A (en) | 2023-10-11 | 2023-10-11 | Enterprise customer recommendation method, system, electronic equipment and medium |
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| CN202311315731.0A CN117312673A (en) | 2023-10-11 | 2023-10-11 | Enterprise customer recommendation method, system, electronic equipment and medium |
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| CN117312673A true CN117312673A (en) | 2023-12-29 |
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