CN115048419B - Business opportunity library-removing method and system - Google Patents

Abstract

The invention relates to the technical field of computers, and discloses a method and a system for business opportunity library deletion, wherein the method comprises the steps that a server distributes business opportunity library deletion tasks of multiple business opportunities to each node in a distributed system, wherein the business opportunity library deletion task of the same business opportunity is distributed to the same node in the distributed system; after adding a distributed lock to each node in the distributed system, inquiring the commodity opportunity library falling rule of the corresponding commercial tenant, updating the library falling time of the corresponding commercial tenant after the inquiry is successful, and releasing the distributed lock; and each node in the distributed system carries out business opportunity database removal on the business opportunity of the corresponding merchant according to the business opportunity database removal rule of the corresponding merchant, wherein the business opportunity database removal refers to an access permission object of a database which is used for expanding the merchant and storing business opportunity data. The method and the system for the warehouse-out of the business opportunity, disclosed by the invention, can enable more business opportunity digesters to follow up and develop the business opportunity, and the conversion rate of the business opportunity is improved to the greatest extent.

Description

Method and System for Dropping Business Opportunities

technical field

The present invention relates to the field of computer technology, in particular to a method and system for dropping a business opportunity.

Background technique

Business opportunities are the source of orders, and business personnel can follow up and develop business opportunities and match deals to achieve conversion of business opportunities. At present, some online enterprise platforms store business opportunities in the business opportunity database, and business opportunity digesters (business personnel) with data access rights can query the business opportunity database to obtain business opportunities and follow up the development of business opportunities.

However, in this way, for some enterprise platforms (such as real estate intermediary platforms) with a large number of merchants joining in, each intermediary franchisee can be considered as a merchant, and the housing sales/rental resources provided by franchisees can be considered as business opportunities. The real estate intermediaries of real estate agencies can be considered as business opportunity digesters), which may be due to the different configurations of various merchants, making some business opportunity digesters unable to access the business opportunity database of some merchants and carry out follow-up development of business opportunities, resulting in some business opportunities not being able to Therefore, it is necessary to expand the allowed access objects of some business opportunity databases that are limited to some business opportunity digesters.

Contents of the invention

In order to solve the problem that some business opportunities cannot be effectively converted in the prior art, the purpose of the present invention is to provide a method and system for removing business opportunities, which can digest only part of the business opportunities in the database of business queries. Allowing access objects to expand, so that more business opportunity digesters can follow up and develop business opportunities for merchants, and maximize the conversion rate of business opportunities, which is convenient for actual promotion and application.

In the first aspect, the present invention provides a method for deleting business opportunities, which is used to delete business opportunities of multiple merchants, including:

The server assigns the business opportunity inventory removal tasks of the multiple merchants to each node in the distributed system, wherein the business opportunity inventory removal tasks of the same merchant are assigned to the same node in the distributed system;

Each node in the distributed system adds a distributed lock to the corresponding merchant and inquires about the business opportunity dropout rules of the corresponding merchant, and updates the dropout time of the corresponding merchant after the query is successful and releases the distributed lock;

Each node in the distributed system deletes the business opportunity of the corresponding merchant according to the business opportunity deletion rule of the corresponding merchant, wherein the business opportunity deletion refers to the allowed access object of the database of the extended merchant and used to store business opportunity data.

Based on the content of the above invention, a business opportunity database removal scheme is provided, that is, the server assigns the business opportunity database removal tasks of multiple merchants to each node in the distributed system, and the business opportunity database removal tasks of the same merchant are assigned to the nodes in the distributed system. The same node of the same node; each node in the distributed system adds a distributed lock to query the corresponding merchant's business opportunity drop-out rules, and updates the corresponding merchant's drop-out time and releases the distributed lock after the query is successful; each node in the distributed system According to the business opportunity removal rules of the corresponding merchants, the business opportunities of the corresponding merchants are removed from the library. In this way, the allowed access objects of the database that are limited to some business opportunity digesters can be expanded, so that more business opportunity digesters can follow up and develop the business opportunities of merchants, and the conversion rate of business opportunities can be improved to the greatest extent. It is convenient for actual promotion and application. Secondly, through the distributed system to remove the business opportunities of merchants, it can avoid the problem of low efficiency of inventory removal due to too many merchants who need to drop their inventory, and improve the efficiency of inventory removal.

In a possible design, the object of the business opportunity database is the target database. After each node in the distributed system deletes the business opportunities of the corresponding merchants according to the business opportunity database rules of the corresponding merchants, the method further includes :

According to the demand information of the target business opportunity in the target database, the server pushes the target business opportunity to multiple first business opportunity digesters that match the demand information, and distributes the target business opportunity to the multiple first business opportunities Among the digesters, the target digester who initiates order grabbing first;

Wherein, the demand information includes the business type and the region to which the business belongs, and the target business opportunity is any business opportunity in the target database.

In a possible design, after allocating the target business opportunity to the target digester who first initiates order grabbing among the plurality of first business opportunity digesters, the method further includes:

The server responds to the cooperation order operation initiated by the target business opportunity, and acquires a plurality of second business opportunity digesters that match the demand information of the target business opportunity, and the multiple second business opportunity digesters are The demand information matches all digests except the target digest;

The server is based on the transaction order parameters of each of the digestion providers in the plurality of second business opportunity digesters in the historical contract record and belonging to the same type of business opportunities as the target business opportunity, and the corresponding contract parameters Weight, determine the co-order quality evaluation points corresponding to the plurality of second business opportunity digestion quotients;

The server sorts the plurality of second business opportunity digesters in descending order of scores based on the contract quality evaluation scores corresponding to the multiple second business opportunity digesters to obtain a sorted list of digesters, so that The target digestion quotient selects the digestion quotient of the co-order based on the digestion quotient ranking list and pushes the co-order task corresponding to the target business opportunity to the selected digestion quotient;

Wherein, the weight corresponding to each cooperation order parameter is based on each cooperation order parameter in the historical cooperation order record of the same type business opportunity of the target business opportunity as input, and the historical cooperation order record of the same type business opportunity of the target business opportunity The corresponding customer score is obtained by training with the goal of minimizing the error between the weighted calculation scores of the various cooperation order parameters recorded in the historical cooperation order;

The various co-order parameters include at least one of the average conversion rate of business opportunities converted into business, the average conversion time of successfully converted business opportunities, and the amount of completed co-order tasks.

In a possible design, the method also includes:

The server obtains all historical contract records that have been contracted;

The server classifies all the historical contract records based on the types of business opportunities corresponding to the historical carry records to obtain at least one business opportunity classification;

The server takes as input the parameters of each contract recorded in the historical contract record corresponding to each type of business opportunity in the at least one business opportunity category, and the parameters of the historical contract record corresponding to each type of business opportunity in the at least one business opportunity category The customer score, and the error between the weighted calculation scores of the various contract parameters recorded in the historical contract records corresponding to the various business opportunities in the at least one business opportunity category is the goal of training, and the historical contract corresponding to the various business opportunities is obtained. The weight corresponding to each co-order parameter in the record.

In a possible design, after pushing the co-order task corresponding to the target business opportunity to the selected digester, the method further includes:

The server sends an order request prompt message to the selected digester.

In a possible design, the various co-order parameters include the average conversion rate of business opportunities converted into business, the average conversion time of successfully converted business opportunities, and the amount of completed co-order tasks.

In a possible design, the method also includes:

The server generates clues according to the incoming call information carried in the incoming call record;

The server generates a business opportunity in response to the demand information entered by the service terminal of the receiver of the call record and the clue.

In a possible design, after each node in the distributed system deletes the business opportunities of the corresponding merchants according to the business opportunity deletion rules of the corresponding merchants, the method further includes:

The distributed system determines whether there are nodes in the distributed system that have not completed the database deletion according to the business opportunity deletion rules of the corresponding merchants according to the database deletion log;

If it exists, control the node that has not completed the inventory drop to re-drop the business opportunity of the corresponding merchant.

In the second aspect, the present invention provides a business opportunity inventory removal system, which is used to remove the business opportunities of multiple merchants, including a server and a distributed system, wherein the server is used to allocate the business opportunity inventory removal tasks of the plurality of merchants For each node in the distributed system, the business opportunity drop-off task of the same merchant is assigned to the same node in the distributed system;

Each node in the distributed system is used to query the business opportunity dropout rules of the corresponding merchant after adding the distributed lock, and update the dropout time of the corresponding merchant after the query is successful and release the distributed lock; and

According to the business opportunity deletion rules of the corresponding merchant, the business opportunity deletion database of the corresponding merchant is performed, wherein the business opportunity deletion database refers to the allowed access object of the database of the extended merchant and used to store business opportunity data.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

Fig. 1 is a flow chart of a method for dropping a business opportunity provided by the present invention.

Fig. 2 is a flow chart of generating business opportunities on the server provided by the present invention.

Fig. 3 is a flow chart of providing cooperation orders for target digesters who allocate business opportunities provided by the present invention.

Fig. 4 is a flow chart of determining the weights corresponding to each cooperation order parameter in the historical cooperation order record provided by the present invention.

Fig. 5 is a schematic structural diagram of the business opportunity storage system provided by the present invention.

Detailed ways

The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments. It should be noted here that although the descriptions of these embodiments are used to help the understanding of the present invention, they are not intended to limit the present invention. Specific structural and functional details disclosed herein are for purposes of describing example embodiments of the invention only. However, the invention may be embodied in many alternative forms and should not be construed as limited to the embodiments set forth herein.

It will be understood that, although the terms first, second etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.

It should be understood that in some alternative implementations, the functions/acts may occur out of the order noted in the figures. For example, two figures shown in succession may in fact be executed substantially concurrently or the functions/acts shown in succession may sometimes be executed in the reverse order, depending upon the functionality/acts involved.

Example

In order to improve the conversion rate of business opportunities, the embodiment of this application provides a method and system for deleting business opportunities. The method and system for deleting business opportunities can expand the allowed access objects of the database that are limited to some business opportunity digesters, so that more Many business opportunity digesters can follow up and develop business opportunities, which can maximize the conversion rate of business opportunities and facilitate actual promotion and application.

The business opportunity inventory removal method provided in the first aspect of this embodiment can be applied to a business opportunity inventory removal system, and the business opportunity inventory removal system includes a server and a distributed system communicatively connected to the server. The server may be a server of an enterprise platform with a large number of merchants joining, and the business opportunity digester (business personnel) can access the business opportunity data in the database of the allowed merchants to obtain business opportunities, and can follow up and develop the obtained business opportunities .

A detailed description will be given below of the business opportunity drop-out method provided by the embodiment of the present application.

As shown in Figure 1, it is a flow chart of a method for dropping a database of business opportunities provided by the embodiment of the present application, and the method for dropping a database of business opportunities may include the following steps:

Step S101. The server distributes the task of removing business opportunities of multiple merchants to each node in the distributed system.

Wherein, the business opportunity database task of the same merchant is assigned to the same node in the distributed system, and the business opportunity database refers to the allowed access object of the database of the extended merchant and used for storing business opportunity data.

In the embodiment of this application, the server communicates with the distributed system for data interaction. The distributed system includes multiple nodes, and each node is a node server. When it is necessary to drop the business opportunities of multiple merchants, the server can send The business opportunity drop task of multiple merchants is assigned to each node in the distributed system, and when the business opportunity drop is allocated, the business opportunity drop task of the same merchant will be assigned to the same node in the distributed system.

For example, multiple merchants include merchants a, b, c, and d, and the distributed system includes nodes A, B, and C. When assigning, the business opportunities of merchants a and b can be assigned to node A, and the business opportunities of merchant c The inventory removal task is assigned to node B, and the merchant d's business opportunity inventory removal task is assigned to node C. It can be understood that, the above-mentioned distribution method of the business opportunity inventory removal task is only an example, and there may be other distribution methods in some other embodiments.

Step S102. Each node in the distributed system adds a distributed lock to the corresponding merchant and then queries the business opportunity dropout rules of the corresponding merchant. After the query is successful, updates the dropout time of the corresponding merchant and releases the distributed lock.

In step S102, each node in the distributed system first adds a distributed lock to the corresponding merchant when performing database drop. Query and other operations to ensure data consistency.

The server can configure the merchant’s database drop-out rules, which record the objects that the merchant’s database is allowed to access. Each node in the distributed system can query the corresponding merchant’s business opportunity drop-out rules from the server, and update the corresponding The merchant's storage time and release the distributed lock. When a general node deletes a business opportunity for a merchant (that is, expands the allowed access objects of the database used by the merchant to store the business opportunity), the time for the business opportunity to be dropped is very short, so the time for the dropout can be set to the current time or the time interval from the current time is relatively small And at some later time.

In one or more embodiments, the merchant can inherit the inventory removal rules configured by the server, so when the distributed node performs inventory removal, it can also obtain the inventory removal rules inherited by the corresponding merchant from the configuration information of the corresponding merchant.

Step S103. Each node in the distributed system deletes the business opportunities of the corresponding merchants according to the business opportunity deletion rules of the corresponding merchants.

Wherein, the business opportunity database refers to an object allowed to be accessed by extending the database of the merchant and used to store business opportunity data.

Further, in the embodiment of this application, each node in the distributed system will also generate a database deletion log when the business opportunities of the corresponding merchants are deleted, and the database deletion log records the merchants that have completed the business opportunity deletion After the database is dropped, the distributed system can also determine whether there are nodes that have not completed the database drop according to the database dropout log. If there is, the node that has not completed the library dropout will be controlled to re-drop the business opportunities of the corresponding merchants, so as to ensure the completion of the transaction for each merchant. Business opportunities are out of stock.

Thus, through the business opportunity drop-out method in the aforementioned steps S101~S103, the server will distribute the business opportunity drop-out tasks of multiple merchants to each node in the distributed system, wherein the business opportunity drop-out tasks of the same merchant are assigned to the nodes in the distributed system. The same node of the same node; each node in the distributed system adds a distributed lock to query the corresponding merchant's business opportunity drop-out rules, and updates the corresponding merchant's drop-out time and releases the distributed lock after the query is successful; each node in the distributed system According to the business opportunity removal rules of the corresponding merchants, the business opportunities of the corresponding merchants are removed from the library. In this way, the allowed access objects of the database that are limited to some business opportunity digesters can be expanded, so that more business opportunity digesters can follow up and develop the business opportunities of merchants, and the conversion rate of business opportunities can be improved to the greatest extent, which is convenient for actual promotion and application. Secondly, through the distributed system to remove the business opportunities of merchants, it can avoid the problem of low efficiency of inventory removal due to too many merchants who need to drop their inventory, and improve the efficiency of inventory removal. In addition, after the database is dropped, it is also possible to determine whether there are nodes that have not completed the database drop according to the database dropout log. If there is, control the nodes that have not completed the dropout to re-drop the business opportunities of the corresponding merchants, so as to ensure that the business opportunities for each merchant are completed. Drop library.

As shown in FIG. 2 , on the basis of the above-mentioned technical solution of the first aspect, the embodiment of the present application specifically proposes a possible design 1 for generating business opportunities on the server, which may include but not limited to the following steps S201~S202.

Step S201. The server generates a clue according to the incoming call information carried in the incoming call record.

Wherein, the incoming call information includes but not limited to the caller ID area and the caller's phone number.

Step S202. The server responds to the demand information entered by the service terminal of the receiver of the call record and the lead to generate a business opportunity.

In the embodiment of the present application, the demand information entered by the service end may be manually entered by the service personnel of the service end according to the call content during the call. It can be understood that, in some other embodiments, the demand information may also be obtained by the server performing key words on the call records.

Therefore, through the aforementioned possible design one, business opportunities can be generated very conveniently and quickly according to the call records, which is convenient for business opportunity digesters to follow up and develop business opportunities.

On the basis of the above-mentioned first aspect or the technical solution of possible design 1, the embodiment of the present application also specifically proposes a method for each node in the distributed system to delete the business opportunities of the corresponding merchants according to the business opportunity deletion rules of the corresponding merchants. After that, push the business opportunity to the possible design two of the business opportunity digester. That is, according to the demand information of the target business opportunity in the target database, the server pushes the target business opportunity to multiple first business opportunity digesters that match the demand information, and distributes the target business opportunity to the first business opportunity digester among the multiple first business opportunity digesters. Single target digestive quotient. Wherein, the target database is the object of business opportunity dropout, the demand information includes the business type and the region to which the business belongs, and the target business opportunity is any business opportunity in the target database.

In this embodiment of the present application, the multiple first business opportunity digesters that match the demand information may refer to the business types that the multiple first business opportunity digesters can digest match the business types in the demand information, and the multiple first business opportunity digesters The area in charge of the business opportunity digester matches the business area in the demand information, and the multiple first business opportunity digesters are allowed to access the target database to which the target business opportunity corresponding to the demand information belongs.

Therefore, through the aforementioned possible design 2, the business opportunity can be pushed to the matching business opportunity digester, so that the business opportunity digester can know the matching business opportunity in a timely manner without searching from a large number of business opportunities, and it is convenient for the business opportunity digester to grab orders for business opportunities And follow-up development, etc., so as to match the transaction as soon as possible, and realize the conversion of business opportunities more conveniently and quickly.

Please refer to Figure 3. On the basis of the technical solution of the aforementioned possible design 2, the embodiment of the present application also specifically proposes a method after allocating the target business opportunity to the target digester who is the first to initiate grabbing orders among multiple first business opportunity digesters. , the third possible design of providing cooperation orders for target digesters who allocate business opportunities, which may include but not limited to the following steps S301~S303.

Step S301. The server responds to the cooperation order operation initiated by the target digester, and obtains multiple second business opportunity digesters that match the demand information of the target business opportunity.

Wherein, the multiple second business opportunity digestion quotients are the digestion quotients of all the digestion quotients that match the demand information of the target business opportunity except the target digestion quotient.

In the embodiment of this application, if the target digester finds that the business opportunity received does not belong to the type of business he is good at after receiving the order, or some of the business cannot be handled by himself and needs the assistance of other digesters to complete, at this time the target digester can initiate Order cooperation operation, to request other digesters to assist the target digester in handling the business opportunity of the order. At this time, the server responds to the cooperation order operation initiated by the target digester, and obtains a plurality of second business opportunity digesters that match the demand information of the target business opportunity.

Step S302. The server determines based on the various order parameters in the historical agreement records of each of the multiple second business opportunity digesters that belong to the same type of business opportunity as the target opportunity, and the weights corresponding to each agreement parameter. The evaluation scores of the contract quality corresponding to multiple second business opportunity digestion quotients are generated.

The server records the historical contract records of all business opportunity digesters. The historical contract records record various contract parameters related to the contract. The various contract parameters include the average conversion rate of business opportunities into business, conversion success At least one of the average conversion time of business opportunities and the amount of completed cooperation orders. In the embodiment of the present application, various co-order parameters include the average conversion rate of business opportunities converted into business, the average conversion time of successfully converted business opportunities, and the amount of completed co-order tasks.

The server also determines each of the historical contract records of the same type of business opportunity according to each contract parameter in the historical contract record of the same type of business opportunity and the customer score corresponding to the historical contract record of the same type of business opportunity. The weight corresponding to the item order parameter. For the weights corresponding to each order parameter (in the historical agreement record of the same type of business opportunity as the target opportunity), you can use each agreement parameter in the historical agreement record of the same type of business opportunity as the target opportunity as input, so The minimum error between the customer score corresponding to the historical contract record of the same type of business opportunity of the target business opportunity and the weighted calculation score of each contract parameter of the historical contract record (of the same type of business opportunity of the target business opportunity) is at least target, obtained through training. The error between the customer rating and the weighted calculation score may be, but not limited to, an average error or a mean square error, which is not specifically limited in this embodiment of the present application.

Step S303. The server sorts the multiple second business opportunity digesters in descending order of scores based on the contract quality evaluation scores corresponding to the multiple second business opportunity digesters, and obtains a sorted list of digesters, so that the target digester can Select the digestion quotient of the cooperation order based on the ranking list of digestion quotients and push the cooperation order task corresponding to the target business opportunity to the selected digestion quotient.

Further, after pushing the cooperation order task corresponding to the target business opportunity to the selected digester, the server may also send a cooperation order request prompt message to the selected digester to prompt that the selected digester currently has a cooperation order ask.

Therefore, through the above-mentioned possible design three, when the target digester finds that the business opportunity of receiving the order has difficulties in the follow-up development process after receiving the order and needs to ask other digesters to assist in processing, it can automatically recommend a suitable digester for the target digester , so that the target digester can select the digester to initiate a cooperation order request according to the needs, so as to complete the conversion of business opportunities as much as possible through collaboration, further improve the conversion efficiency of business opportunities, and achieve win-win cooperation among digesters.

Please refer to Fig. 4. On the basis of the technical solution of the aforementioned possible design three, the embodiment of the present application also specifically proposes a possible design four for determining the weights corresponding to each contract parameter in the historical contract records corresponding to various business opportunities , which may include but not limited to the following steps S401~S403.

Step S401. The server obtains all historical transaction records of already-contracted orders.

Step S402. The server classifies all historical contract records based on the types of business opportunities corresponding to the historical carrying records, and obtains at least one business opportunity classification.

Step S403. The server uses at least one business opportunity classification of various business opportunities in the historical contract records corresponding to the various contract parameters recorded in the transaction record as input, at least one customer score of the business opportunity classification in the various business opportunities in the historical contract records corresponding to the customer score, The error between the weighted calculation scores of each order parameter in the historical agreement records corresponding to various types of business opportunities in at least one business opportunity category is the minimum for training, and each agreement in the historical agreement records corresponding to various business opportunities is obtained. The weight corresponding to a single parameter.

Among them, various cooperation order parameters recorded in the historical cooperation order records corresponding to various business opportunities, including but not limited to the average conversion rate of business opportunities into business, the average conversion time of successfully converted business opportunities, and the number of completed cooperation order tasks at least one.

During training, for a certain type of business opportunity, you can use the various parameters of the cooperation order recorded in the historical agreement record corresponding to this type of business opportunity as input, and adjust the weights corresponding to each cooperation order parameter (the number of adjustments can be based on the time situation) Pre-set), calculate the weighted calculation score of each cooperation order parameter in the historical cooperation order record corresponding to this type of business opportunity. Calculate the error term between each weighted operation score and the customer score of the historical contract record corresponding to this type of business opportunity, and select the weight corresponding to each contract parameter when the error term is the smallest, as the historical contract record corresponding to this type of business opportunity. The weight corresponding to each co-order parameter.

Therefore, through the aforementioned possible design four, it is possible to accurately and reasonably determine the weights corresponding to each cooperation order parameter in the cooperation order record, so that when the digester initiates a cooperation order request, it can be based on the weights corresponding to each cooperation order parameter Recommend a suitable digester for the digester who initiated the order cooperation request to cooperate with the order.

In the second aspect, please refer to FIG. 5. The embodiment of the present application provides a system for removing business opportunities from a plurality of merchants. The system for removing business opportunities includes a server and a distributed system, wherein the server is used for Allocating the business opportunity drop-out tasks of the multiple merchants to each node in the distributed system, wherein the business opportunity drop-out tasks of the same merchant are assigned to the same node in the distributed system;

Each node in the distributed system is used to query the business opportunity dropout rules of the corresponding merchant after adding the distributed lock, and update the dropout time of the corresponding merchant after the query is successful and release the distributed lock; and

According to the business opportunity deletion rules of the corresponding merchant, the business opportunity deletion database of the corresponding merchant is performed, wherein the business opportunity deletion database refers to the allowed access object of the database of the extended merchant and used to store business opportunity data.

For the working process, working details and technical effects of the device provided in the second aspect of this embodiment, please refer to the first aspect of the embodiment, and details will not be repeated here.

The present invention is not limited to the above-mentioned optional embodiments, anyone can draw other various forms of products under the enlightenment of the present invention, but no matter make any changes in its shape or structure, any change that falls within the scope of the claims of the present invention The technical solutions within the scope all fall within the protection scope of the present invention.

Claims (7)

1. A method for removing business opportunities from the library, which is used to remove the business opportunities of multiple merchants, characterized in that it includes: The server assigns the business opportunity inventory removal tasks of the multiple merchants to each node in the distributed system, wherein the business opportunity inventory removal tasks of the same merchant are assigned to the same node in the distributed system; Each node in the distributed system adds a distributed lock to the corresponding merchant and inquires about the business opportunity dropout rules of the corresponding merchant, and updates the dropout time of the corresponding merchant after the query is successful and releases the distributed lock; Each node in the distributed system performs business opportunity deletion on the business opportunities of the corresponding merchants according to the business opportunity deletion rules of the corresponding merchants, wherein the business opportunity deletion refers to the allowed access object of the database that expands the merchant and is used to store business opportunity data; The object of the business opportunity dropout is the target database. After each node in the distributed system performs the business opportunity dropout of the business opportunity of the corresponding merchant according to the business opportunity dropout rule of the corresponding merchant, the method also includes: According to the demand information of the target business opportunity in the target database, the server pushes the target business opportunity to multiple first business opportunity digesters that match the demand information, and distributes the target business opportunity to the multiple first business opportunities Among the digesters, the target digester who initiates order grabbing first; Wherein, the demand information includes the business type and the region to which the business belongs, and the target business opportunity is any business opportunity in the target database; After allocating the target business opportunity to the target digester who first initiates order grabbing among the plurality of first business opportunity digesters, the method further includes: The server responds to the cooperation order operation initiated by the target business opportunity, and acquires a plurality of second business opportunity digesters that match the demand information of the target business opportunity, and the multiple second business opportunity digesters are The demand information matches all digests except the target digest; The server is based on each contract parameter in the historical contract record of each digester among the plurality of second business opportunity digesters and that belongs to the same type of business opportunity as the target business opportunity, and the corresponding value of each contract parameter Weight, determine the co-order quality evaluation points corresponding to the plurality of second business opportunity digestion quotients; The server sorts the plurality of second business opportunity digesters in descending order of scores based on the contract quality evaluation scores corresponding to the multiple second business opportunity digesters to obtain a sorted list of digesters, so that The target digestion quotient selects the digestion quotient of the co-order based on the digestion quotient ranking list and pushes the co-order task corresponding to the target business opportunity to the selected digestion quotient; Wherein, the weight corresponding to each cooperation order parameter is based on each cooperation order parameter in the historical cooperation order record of the same type business opportunity of the target business opportunity as input, and the historical cooperation order record of the same type business opportunity of the target business opportunity The corresponding customer score is obtained by training with the goal of minimizing the error between the weighted calculation scores of the various cooperation order parameters recorded in the historical cooperation order; The various co-order parameters include at least one of the average conversion rate of business opportunities converted into business, the average conversion time of successfully converted business opportunities, and the amount of completed co-order tasks. 2. The method of claim 1, further comprising: The server obtains all historical contract records that have been contracted; The server classifies all the historical contract records based on the types of business opportunities corresponding to the historical carry records to obtain at least one business opportunity classification; The server takes as input the parameters of each contract recorded in the historical contract record corresponding to each type of business opportunity in the at least one business opportunity category, and the parameters of the historical contract record corresponding to each type of business opportunity in the at least one business opportunity category The customer score, and the error between the weighted calculation scores of the various contract parameters recorded in the historical contract records corresponding to the various business opportunities in the at least one business opportunity category is the goal of training, and the historical contract corresponding to the various business opportunities is obtained. The weight corresponding to each co-order parameter in the record. 3. The method according to claim 1, further comprising: The server sends an order request prompt message to the selected digester. 4 . The method according to claim 1 , wherein the various co-order parameters include the average conversion rate of business opportunities converted into business, the average conversion time of successfully converted business opportunities, and the amount of completed co-order tasks. 5. The method of claim 1, further comprising: The server generates clues according to the incoming call information carried in the incoming call record; The server generates a business opportunity in response to the demand information entered by the service terminal of the receiver of the call record and the clue. 6. The method according to claim 1, characterized in that, after each node in the distributed system removes the business opportunities of the corresponding merchants according to the business opportunity removal rules of the corresponding merchants, the method further comprises: The distributed system determines whether there are nodes that have not completed the library drop according to the drop log; If it exists, control the node that has not completed the inventory drop to re-drop the business opportunity of the corresponding merchant. 7. A business opportunity database removal system, which is used to remove the business opportunities of multiple merchants, and is characterized in that it includes a server and a distributed system, wherein the server is used to assign the business opportunity database removal tasks of the multiple merchants to the distribution system. Each node in the distributed system, in which the business opportunity drop-off task of the same merchant is assigned to the same node in the distributed system; Each node in the distributed system is used to query the business opportunity dropout rules of the corresponding merchant after adding the distributed lock, and update the dropout time of the corresponding merchant after the query is successful and release the distributed lock; and According to the business opportunity deletion rules of the corresponding merchant, the business opportunity deletion database of the corresponding merchant is performed, wherein the business opportunity deletion database refers to the allowed access object of the database of the extended merchant and used to store business opportunity data; The object of the business opportunity dropout is the target database, and the server is also used for each node in the distributed system to delete the business opportunities of the corresponding merchants according to the business opportunity dropout rules of the corresponding merchants, and then according to the target business opportunity in the target database. demand information, push the target business opportunity to a plurality of first business opportunity digesters that match the demand information, and distribute the target business opportunity to the one that first initiates order grabbing among the plurality of first business opportunity digesters target digestion quotient; Wherein, the demand information includes the business type and the region to which the business belongs, and the target business opportunity is any business opportunity in the target database; The server is further configured to, after allocating the target business opportunity to the first target digester among the plurality of first business opportunity digesters, to respond to the cooperation order operation initiated by the target digester, and obtain the A plurality of second business opportunity digestion quotients matching the demand information of the target business opportunity, the plurality of second business opportunity digestion quotients are all digestion quotients matching the demand information of the target business opportunity except the target digestion quotient ; Based on the various contract parameters in the historical contract record of each digester among the plurality of second business opportunity digesters and the target business opportunity belonging to the same type of business opportunities, and the weights corresponding to each contract parameter, determine Obtaining the contract quality evaluation points corresponding to the plurality of second business opportunity digestion quotients; and Based on the contract quality evaluation scores corresponding to the plurality of second business opportunity digestion quotients, sort the plurality of second business opportunity digestion quotients in descending order of scores to obtain a sorted list of digestion quotients, so that the target The digestion quotient selects the digestion quotient of the co-order based on the digestion quotient ranking list and pushes the co-order task corresponding to the target business opportunity to the selected digestion quotient; Wherein, the weight corresponding to each cooperation order parameter is based on each cooperation order parameter in the historical cooperation order record of the same type business opportunity of the target business opportunity as input, and the historical cooperation order record of the same type business opportunity of the target business opportunity The corresponding customer score is obtained by training with the goal of minimizing the error between the weighted calculation scores of the various cooperation order parameters recorded in the historical cooperation order; The various co-order parameters include at least one of the average conversion rate of business opportunities converted into business, the average conversion time of successfully converted business opportunities, and the amount of completed co-order tasks.

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