Method, device and equipment for transferring and grabbing orders based on car purchase clues and medium

Abstract

The invention relates to an artificial intelligence technology, and discloses a car purchase clue-based order switching and scrambling method, which comprises the following steps of: establishing a clue order scrambling task pool according to reserved information of an intentional user; brand clue screening is carried out on the car purchase clues in the clue order grabbing task pool; performing outbound processing on the intentional user according to a screening result of brand clue screening; performing intention marking on the intention user according to a processing result of the outbound processing to obtain an intention value of the intention user; and according to the intention value, carrying out car purchase service docking on the intention user, according to a docking result of the car purchase service docking, establishing a car purchase clue return mechanism, and according to the car purchase clue return mechanism, carrying out service reprocessing on a car purchase clue of the intention user. In addition, the invention also relates to a block chain technology, and the data list can be stored in the nodes of the block chain. The invention further provides a car purchase clue-based order transferring and grabbing device, electronic equipment and a storage medium. The method can improve the conversion success rate of the car purchase clues of the user.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a method, device, equipment and medium for transferring and grabbing orders based on car purchase clues. Background Art

[0002] On the platform, users usually leave information about car purchase clues for their favorite car brands, car series or models. This information is then converted into new car purchase clues and assigned to the corresponding account managers according to the user's city and 4S store address. After receiving the clues, the account manager will contact the user to confirm the intention to buy a car and recommend Ping An Bank's car loan products to interested customers. However, there are several significant problems with this process: First, since the display order of city stores is usually sorted by the first letter of the pinyin, users tend to leave information for the store ranked first, which makes it possible for the account manager of this store to handle a large number of leads within working hours, while the account managers of other stores face the situation of having no leads to handle. Secondly, the resignation of the account manager may result in the failure to properly hand over the leads he is responsible for, thereby losing potential customer information and damaging the company's performance. Furthermore, due to the store lead distribution mechanism, even if some account managers want to handle more leads, the number they can contact is limited, affecting work efficiency. Finally, the current mechanism based on city stores as the distribution latitude leads to inefficient lead processing. Users may have to wait for many days before an account manager follows up, which reduces the customer's car purchase experience.

[0003] In addition, account managers often have to deal with leads of varying quality, including a large number of "wool parties" who participate in activities only to get discounts but have no actual intention to buy a car. This not only consumes a lot of time and energy for account managers to make phone calls and screen, but also the final conversion rate is not ideal. This situation further exacerbates the problem of work efficiency and lead processing efficiency, and also affects the job satisfaction of account managers and the final business results. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for converting and grabbing orders based on car purchase leads, the main purpose of which is to solve the problem of low success rate in converting user car purchase leads.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for transferring orders based on car purchase clues, comprising:

[0006] Establish a lead order grabbing task pool based on the reserved information of potential users;

[0007] Screening the car purchase leads in the lead order grabbing task pool for brand leads;

[0008] Performing outbound call processing on the intended user according to the screening result of the brand lead screening;

[0009] Marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user;

[0010] The potential user is connected with the car purchase business according to the intention value, a car purchase lead return mechanism is established according to the connection result of the car purchase business connection, and the car purchase lead of the potential user is reprocessed according to the car purchase lead return mechanism.

[0011] Optionally, the step of establishing a lead order grabbing task pool according to the reserved information of the intended user includes:

[0012] Using the preset CLEW platform to collect the reservation information of the intended user, wherein the reservation information includes: contact information, preferred brand and budget range;

[0013] A task pool of leads and orders for the potential users is established based on the reserved information.

[0014] Optionally, the screening of brand leads for the car purchase leads in the lead order grabbing task pool includes:

[0015] Classifying the car purchase leads in the lead order grabbing task pool by brand;

[0016] The car purchase leads are selected according to the classification results of the brand classification and the preset brand allocation rules.

[0017] Optionally, marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user includes:

[0018] Performing intention analysis on the car purchasing intention of the potential user according to the processing result of the outbound call processing;

[0019] Marking the intended user according to the analysis result of the intention analysis to obtain the marking result of the intended user;

[0020] An intention value of the intended user is generated according to the marking result.

[0021] Optionally, the connecting the potential user with a car purchase business according to the intention value includes:

[0022] Generating a priority docking value for the intended user according to the intention value;

[0023] Generating a service docking sequence for the intended user according to the priority docking value;

[0024] Car purchase business docking is performed for the potential users in sequence according to the business docking sequence.

[0025] Optionally, the establishing of a car purchase lead return mechanism according to the car purchase business docking result includes:

[0026] When the result of the car purchase business docking is that the account manager fails to follow up in time, the car purchase lead selected by the account manager is returned to the lead order grabbing task pool;

[0027] When the docking result of the car purchase business docking is that the potential user refuses to follow up, the car purchase lead corresponding to the potential user is returned to the lead order grabbing task pool.

[0028] Optionally, the reprocessing of the car purchase leads of the intended user according to the car purchase lead return mechanism includes:

[0029] Determining the returned car purchase leads according to the car purchase lead return mechanism;

[0030] Conduct lead evaluation on the returned car purchase leads, and reprocess the business of the intended user according to the evaluation value of the lead evaluation.

[0031] In order to solve the above problems, the present invention further provides a device for transferring and grabbing orders based on car purchase clues, the device comprising:

[0032] The task pool establishment module is used to establish a lead order grabbing task pool based on the reserved information of potential users;

[0033] A lead screening module is used to screen the car purchase leads in the lead order grabbing task pool for brand leads;

[0034] An outbound call processing module, used for performing outbound call processing on the intended user according to the screening result of the brand clue screening;

[0035] An intention marking module, used to mark the intended user according to the processing result of the outbound call processing, and obtain the intention value of the intended user;

[0036] The lead return module is used to connect the intended user with the car purchase business according to the intention value, establish a car purchase lead return mechanism according to the connection result of the car purchase business connection, and re-process the car purchase lead of the intended user according to the car purchase lead return mechanism.

[0037] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0038] at least one processor; and,

[0039] a memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned method of converting and grabbing orders based on car purchase leads.

[0041] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one computer program is stored. The at least one computer program is executed by a processor in an electronic device to implement the above-mentioned method of converting and grabbing orders based on car purchase leads.

[0042] The present invention collects the user's reserved information and integrates the information into a central task pool, classifies the leads according to the user's preferred brands, so that the leads of a specific brand are assigned to the account manager who is familiar with the brand, and uses the AI ​​outbound call system to conduct preliminary communication with the intended users. The outbound call can help filter out the users who really have the intention to buy a car. According to the result of the outbound call communication, the user is marked with the intention value to distinguish the users with different intention levels. The intention value marking helps to give priority to the high-intention users. Prioritizing the connection with the high-intention users can ensure that the most valuable leads are followed up in time, thereby improving the conversion rate. A car purchase lead return mechanism is established according to the docking results of the car purchase business docking. The return mechanism ensures that the leads will not be ignored or wasted, so that valuable leads have the opportunity to be taken over by other account managers. The car purchase leads of the intended users are reprocessed according to the car purchase lead return mechanism. The reprocessing helps to explore potential opportunities and ensure that all valuable leads are fully utilized. Therefore, the present invention proposes a product recommendation method, device, electronic device and computer-readable storage medium based on user portraits and knowledge graphs, which can solve the problem of low conversion success rate of user car purchase leads. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of a process of a method for transferring and grabbing orders based on car purchase clues provided by an embodiment of the present invention;

[0044] Figure 2 A functional module diagram of a device for transferring and grabbing orders based on car purchase clues provided by an embodiment of the present invention;

[0045] Figure 3 A schematic diagram of the structure of an electronic device for implementing the method for transferring and grabbing orders based on car purchase clues provided in one embodiment of the present invention.

[0046] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0047] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0048] The embodiment of the present application provides a method for transferring and grabbing orders based on car purchase clues. The execution subject of the method for transferring and grabbing orders based on car purchase clues includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for transferring and grabbing orders based on car purchase clues can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0049] Reference Figure 1 FIG. 1 is a flow chart of a method for transferring orders based on car purchase clues provided by an embodiment of the present invention. In this embodiment, the method for transferring orders based on car purchase clues includes:

[0050] S1. Establish a lead order grabbing task pool based on the reserved information of potential users.

[0051] In the embodiment of the present invention, the step of establishing a lead order grabbing task pool according to the reserved information of the intended user includes:

[0052] Using the preset CLEW platform to collect the reservation information of the intended user, wherein the reservation information includes: contact information, preferred brand and budget range;

[0053] A task pool of leads and orders for the potential users is established based on the reserved information.

[0054] In the embodiment of the present invention, the CLEW platform is a virtual system or platform, which is specially used to collect and manage the lead information of potential car buyers. The CLEW platform has functions such as data entry, data verification, data storage and data retrieval.

[0055] In detail, the reserved information of potential users refers to the personal information voluntarily provided by potential car buyers so that the sales team can contact them, wherein the reserved information includes: contact information, preferred brands and budget range. The contact information can be a telephone number, email address, etc. The preferred brand refers to the car brand that the customer is interested in, and the budget range refers to the potential customer's car purchase budget range.

[0056] In detail, the lead grabbing task pool is a virtual task collection that contains detailed information of all potential customers. This information is collected by the CLEW platform. Sales personnel can obtain sales opportunities based on this information, that is, "grab orders". Grabbing orders means that sales consultants can actively select potential customer leads that they want to follow up.

[0057] Specifically, establishing a lead grabbing task pool is to organize and archive the reserved information of all potential users collected from the CLEW platform, and classify them according to certain rules (such as by brand, by budget range, etc.) to form a list or database for sales staff to view and select.

[0058] In general, the CLEW platform collects reserved information of potential customers (including contact information, preferred brands and budget range), and then organizes this information into a lead grabbing task pool for the sales team to choose to follow up based on their own capabilities and interests. The benefit of doing so is that it can improve sales efficiency, allowing the sales team to focus more on high-potential potential customers, while also improving the potential customers' car-buying experience.

[0059] S2. Screening the car purchase leads in the lead order grabbing task pool for brand leads.

[0060] In the embodiment of the present invention, the screening of brand leads for the car purchase leads in the lead order grabbing task pool includes:

[0061] Classifying the car purchase leads in the lead order grabbing task pool by brand;

[0062] The car purchase leads are selected according to the classification results of the brand classification and the preset brand allocation rules.

[0063] In detail, brand classification of the car purchase leads in the lead order grabbing task pool refers to dividing the car purchase leads into different brand categories in the CLEW platform according to the preferred brand information reserved by the intended users. For example, if the intended users are interested in brands A, B, C, etc., then these leads will be classified into their respective brand categories.

[0064] In detail, selecting the car purchase leads according to the classification results of the brand classification and the preset brand allocation rules means that the CLEW platform allocates the car purchase leads of different brands to specific sales teams or account managers according to the brand classification results and the preset brand allocation rules.

[0065] For example, if a certain account manager is responsible for the sales of brand A, then all car purchase leads of brand A will be assigned to him / her first.

[0066] In detail, the allocation rules may be set based on a variety of factors, such as the account manager's professional field, sales performance, or the brand preferred by the customer. Through the process of brand lead screening, it can ensure that the sales team can focus more on specific brands, thereby improving sales efficiency and customer satisfaction.

[0067] S3. Perform outbound call processing on the intended user according to the screening result of the brand clue screening.

[0068] In an embodiment of the present invention, according to the results of brand lead screening, that is, after the leads have been classified by brand and selected according to the preset brand allocation rules, outbound call processing is then performed on these potential users, wherein the purpose of the outbound call processing is to further understand the user's car purchase intention, demand details, and confirm the user's car purchase plan, etc.

[0069] In detail, prepare corresponding outbound call scripts according to different brands and user groups. The script should include greetings, introduction of yourself, brief description of the purpose of the call, and inquiry of the user's car purchase intention.

[0070] Furthermore, using the CLEW platform or other calling systems, call the contact information of potential users one by one according to the screened brand lead list, communicate with users according to the prepared script, and understand their car purchasing needs and intentions.

[0071] In detail, during the outbound call process, user feedback information is recorded, including but not limited to user attitude, car purchase time frame, budget range, etc., and this information is recorded in the CLEW platform for subsequent analysis and follow-up.

[0072] In detail, based on the user's feedback information, the outbound call results are analyzed to determine the strength of the user's car purchase intention. Users can be divided into three categories: high intention, medium intention, and low intention, so that different follow-up strategies can be adopted later.

[0073] In general, through outbound call processing, the user's car purchase intention can be further confirmed and more user information can be collected to provide a basis for the next step of intention marking and subsequent sales follow-up.

[0074] S4. Mark the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user.

[0075] In the embodiment of the present invention, the step of marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user includes:

[0076] Performing intention analysis on the car purchasing intention of the potential user according to the processing result of the outbound call processing;

[0077] Marking the intended user according to the analysis result of the intention analysis to obtain the marking result of the intended user;

[0078] An intention value of the intended user is generated according to the marking result.

[0079] In detail, after the outbound call processing is completed, the user's car purchase intention is evaluated based on the information obtained during the call, and it is marked to finally form a quantified intention value.

[0080] In an embodiment of the present invention, the process of marking the intention of the intended users obtained after outbound call processing and generating the intention value is a meticulous and systematic analysis process, which not only involves collecting and analyzing customer data, but also includes using this data to optimize sales strategies and improve customer satisfaction.

[0081] Here is a further detailed explanation of the steps in this process:

[0082] In detail, intention analysis is a core step based on the results of outbound call processing, which determines how to accurately understand and classify customers' car purchase intentions. At this stage, the analysis team first needs to conduct a comprehensive evaluation of customer feedback collected during the outbound call process, which includes but is not limited to: Customer language expression: Analyze the customer's word choice and tone during the call to identify the intensity of the purchase intention; Purchase time frame: Ask and record the customer's expected car purchase time, which is an important indicator for judging the urgency of their car purchase; Budget range: Understanding the customer's budget helps to provide vehicle options that are in line with their financial capabilities, and is also a key factor in judging the feasibility of car purchases; Specific needs and preferences: Including vehicle model preferences, usage requirements, etc., which will help with subsequent product recommendations and personalized services.

[0083] Further, based on the results of the above analysis, the next step is to label these intended users. The labeling process involves classifying customers into different categories, such as "high intent", "medium intent" and "low intent". This classification is based on a series of standards and empirical models, usually developed by the data analysis team based on historical data and industry experience.

[0084] Furthermore, the marking can be a graded classification, such as "high intention", "medium intention", "low intention", or a numerical form, such as a score between 1 and 10, to convert the above marking results into a specific intention value, which can be a quantitative indicator for subsequent sorting and screening.

[0085] For example, "high intent" can be marked as 9-10 points, "medium intent" can be marked as 5-8 points, and "low intent" can be marked as 1-4 points.

[0086] In detail, high-intent customers usually show strong desire to buy, have specific knowledge of the vehicle, have a clear budget, and are close to buying a vehicle; medium-intent customers are open to buying a vehicle but may need more information or time to decide; low-intent customers may be interested in buying a vehicle but currently have no clear purchase plan or have a low budget.

[0087] In detail, analysis is performed based on user feedback information collected during the outbound call processing process, including but not limited to the user's attitude, car purchase time frame, budget range, etc., the user's verbal and behavioral performance is analyzed to determine the intensity of their car purchase intention, and each potential user is marked based on the above analysis results.

[0088] In detail, after the tagging is completed, the next step is to convert the tagging results into a quantitative intent value. The intent value can be a simple value, such as 1 to 10, or a more complex scoring model. This value reflects the customer's purchase possibility and provides a clear indicator for the sales team to decide which customers should be followed up first.

[0089] In detail, by setting algorithms or models to calculate the intention value of each customer, with these intention values, the sales team can more accurately position its sales and marketing resources and adopt more proactive strategies for customers with high intention values, such as providing test drives, customized solutions, special offers, etc.; for customers with medium intention values, they can maintain contact by regularly sending information about new models and industry information, and gradually improve their intention values; for customers with low intention values, they can maintain them by establishing long-term relationships until they are ready to consider buying a car.

[0090] Through the above steps, the user's car purchase intention can be evaluated more accurately, thereby optimizing the subsequent sales follow-up strategy and improving the conversion rate.

[0091] S5. Car-purchasing business connection is performed for the intended user according to the intention value, a car-purchasing lead return mechanism is established according to the connection result of the car-purchasing business connection, and the car-purchasing lead of the intended user is reprocessed according to the car-purchasing lead return mechanism.

[0092] In the embodiment of the present invention, the step of connecting the intended user with a car purchase service according to the intention value includes:

[0093] Generating a priority docking value for the intended user according to the intention value;

[0094] Generating a service docking sequence for the intended user according to the priority docking value;

[0095] Car purchase business docking is performed for the potential users in sequence according to the business docking sequence.

[0096] In detail, after obtaining the intention values ​​of the intended users, the priorities of the users can be determined according to these values, and the docking order of the car purchase business can be arranged accordingly.

[0097] In detail, in the embodiment of the present invention, the process of matching potential users with car purchase business is based on the needs of refined management and optimized resource allocation. By using the intention value to determine the priority and matching order of users, the efficiency and conversion rate of the sales team can be greatly improved. The following is a further detailed explanation of the steps of this process:

[0098] First, the priority docking value is generated based on the intention value of the intended user, which reflects the possibility and urgency of the user's purchase. In order to ensure that high-intention users can receive timely attention and services, users with high intention values ​​are usually given higher docking priority. For example, users with an intention value of 9-10 points may be set to the highest priority docking level (such as level 1), while users with lower intention values ​​are assigned to lower docking levels.

[0099] Secondly, once the priority docking values ​​are determined, the next step is to rank the users in order from high to low according to these values ​​to form the final business docking order. This order ensures that the sales team can arrange its work priorities according to the strength of the customer's purchase intention, and prioritize contacting those customers who are most likely to convert into actual sales. This practice not only shortens the sales cycle, but also improves the work motivation of team members because they know that they are dealing with the cases that are most likely to be closed.

[0100] Finally, according to the determined business docking order, the sales team will start to have in-depth communication with the intended users one by one. For the high priority docking value customers at the top, the sales staff may adopt more proactive and personalized communication strategies, such as providing customized product introductions, arranging test drives, and providing special discounts. This personalized service can not only increase customers' willingness to buy, but also enhance customers' favorability and loyalty to the brand.

[0101] In detail, according to the intention value obtained in the previous step, a priority docking value is generated for each intended user. Generally, the higher the intention value, the higher the priority docking value.

[0102] Furthermore, the business docking order of the intended users is generated according to the order from high to low according to the priority docking values. This order determines which users will be contacted first for car purchase business docking.

[0103] In detail, according to the generated business docking sequence, the car purchase business is docked with the intended users in turn, which may include but is not limited to sending customized product introductions, arranging test drives, providing quotations, etc.

[0104] For example: Use the intention value to generate a priority docking value. For example, for users with an intention value of 9-10 points, the priority docking value is set to 1; for users with an intention value of 5-8 points, the priority docking value is set to 2; for users with an intention value of 1-4 points, the priority docking value is set to 3.

[0105] Specifically, according to the order of priority connection values, users with smaller priority connection values ​​are ranked first. For example, users with a priority connection value of 1 are ranked first, users with a priority connection value of 2 are ranked second, and so on. When the car purchase business connection is started in the above order, the user with a priority connection value of 1 is contacted first, then the user with a priority connection value of 2, and finally the user with a priority connection value of 3.

[0106] Through the above steps, sales resources can be effectively managed to ensure that high-intent users can receive timely attention and services, improve conversion efficiency, and at the same time, reasonably allocate the workload of the sales team to avoid waste of resources.

[0107] In the embodiment of the present invention, the establishment of a car purchase lead return mechanism according to the docking result of the car purchase business docking includes:

[0108] When the result of the car purchase business docking is that the account manager fails to follow up in time, the car purchase lead selected by the account manager is returned to the lead order grabbing task pool;

[0109] When the docking result of the car purchase business docking is that the potential user refuses to follow up, the car purchase lead corresponding to the potential user is returned to the lead order grabbing task pool.

[0110] In detail, when a specific situation arises during the car purchase business docking process, the car purchase lead needs to be put back into the lead grabbing task pool so that other account managers can follow up.

[0111] For example: If an account manager fails to complete the docking task within the specified time, the system will automatically return the car purchase leads selected by the account manager to the lead grabbing task pool. This ensures that the car purchase leads will not be idle due to the reasons of a certain account manager, thereby ensuring the effective use of the leads.

[0112] Alternatively, if the potential user explicitly refuses to continue the car-buying process, the user's car-buying lead will be returned to the lead-grabbing task pool, which will give the car-buying lead a chance to be reacquired by other account managers and try to contact the user in a different way.

[0113] For example, account manager A receives car purchase lead X and is obliged to make the first contact within 24 hours. If account manager A fails to make the first contact after 24 hours, the car purchase lead X will be automatically returned to the lead grabbing task pool.

[0114] For example, Account Manager B successfully contacted potential user Y and had a preliminary communication. Potential user Y clearly stated that he would no longer consider buying a car. At this time, the car purchase lead Y was returned from Account Manager B to the lead grabbing task pool.

[0115] In detail, by establishing a car purchase lead return mechanism, we can ensure that all car purchase leads can be effectively processed, improve sales efficiency and user satisfaction. At the same time, this will also help optimize the work allocation of account managers, reduce resource waste, and improve overall sales performance.

[0116] In the embodiment of the present invention, the business reprocessing of the car purchase leads of the intended user according to the car purchase lead return mechanism includes:

[0117] Determining the returned car purchase leads according to the car purchase lead return mechanism;

[0118] Conduct lead evaluation on the returned car purchase leads, and reprocess the business of the intended user according to the evaluation value of the lead evaluation.

[0119] In detail, after the car purchase leads are returned, they need to be evaluated and corresponding reprocessing measures should be taken based on the evaluation results.

[0120] In the embodiment of the present invention, it is very important to ensure the effectiveness and efficiency of the car purchase business docking. To this end, it is necessary to establish a car purchase lead return mechanism to handle problems that may arise during the docking process, such as the account manager's failure to follow up in time or the intended user's refusal to follow up. The following is a detailed explanation and analysis of this return mechanism:

[0121] First, the return mechanism is mainly triggered in two situations: the account manager fails to follow up in time: this may be because the account manager is overloaded, mismanages time, or simply ignores certain leads. In this case, in order to ensure customer experience and improve resource utilization efficiency, the relevant car purchase leads need to be returned to the lead grabbing task pool; the intended user refuses to follow up: sometimes even if the customer shows initial interest in buying, he may decide not to continue the purchase process for various reasons (such as price, model does not meet expectations, etc.). At this time, the corresponding car purchase leads should also be returned to the task pool for reallocation.

[0122] Then, the lead is returned to the order grabbing task pool for processing. Once the lead is returned to the order grabbing task pool, it becomes available for other account managers to pick up and follow up. This process includes several key steps: before the lead is reallocated, it is necessary to re-evaluate to confirm whether the basic information of the lead is still accurate and valid. Based on the previous docking feedback, the information of the lead is optimized and updated to improve its attractiveness and conversion rate. A fair and efficient allocation mechanism is adopted to ensure that the lead can be quickly and fairly allocated to other account managers. Factors such as the account manager's expertise, current workload and past conversion rate can be considered.

[0123] In detail, establishing such a return mechanism has many advantages. First, by reallocating leads that have not been handled in time or have been handled improperly, it can ensure that every lead is fully utilized, thereby improving overall sales efficiency. Second, timely follow-up and effective communication are crucial to customer satisfaction. The return mechanism ensures that no potential customer will be ignored due to the negligence of individual account managers. Then, the returned leads provide feedback information to help the sales team understand which strategies are effective and which need to be improved, thereby continuously optimizing the sales process.

[0124] In detail, according to the car purchase lead return mechanism, all returned car purchase leads are identified. These leads may be returned due to the account manager's failure to follow up in time or the potential user's refusal to follow up.

[0125] Furthermore, the returned car purchase leads are evaluated, and the evaluation content includes but is not limited to the user's previous feedback, changes in car purchase intentions, etc. The purpose of the evaluation is to better understand the user's current status and whether it is still possible to convert the transaction.

[0126] In detail, an evaluation value is generated according to the evaluation result, which reflects the value and conversion possibility of the car purchase lead. The evaluation value can be a score or a grade, which is used to measure the potential value of the car purchase lead.

[0127] In detail, car purchase leads are reprocessed based on the evaluation value, which may include reallocation to other account managers, sending new marketing information or providing special offers. The goal of reprocessing is to convert these leads as much as possible and improve sales conversion rate.

[0128] For example, through the CLEW platform system, all returned car purchase leads are automatically identified. For example, if account manager C fails to follow up on car purchase lead Z in a timely manner, the system will automatically return it and evaluate car purchase lead Z, taking into account factors such as the results of previous outbound call processing and intention value. For example, if the intention value of car purchase lead Z is high, but the user refused to follow up at the time because he did not have time to consider it, then it still has a high possibility of conversion. An evaluation value is generated based on the evaluation results. For example, the evaluation value of car purchase lead Z is 8 points. Based on the evaluation value, car purchase lead Z is reallocated to account manager D for follow-up. Account manager D may send an email offering special offers to attract users to reconsider buying a car.

[0129] Through the above steps, it can be ensured that the returned car purchase leads are properly evaluated and handled, maximizing the conversion rate of sales leads and improving sales efficiency.

[0130] The present invention collects the user's reserved information and integrates the information into a central task pool, classifies the leads according to the user's preferred brands, so that the leads of a specific brand can be assigned to the account manager who is familiar with the brand, and uses the AI ​​outbound call system to conduct preliminary communication with the intended users. The outbound call can help filter out the users who really have the intention to buy a car. According to the result of the outbound call communication, the user's intention value is marked to distinguish users with different intention levels. The intention value marking helps to give priority to following up high-intention users. Prioritizing high-intention users can ensure that the most valuable leads are followed up in time, thereby improving the conversion rate. A car purchase lead return mechanism is established according to the docking results of the car purchase business docking. The return mechanism ensures that the leads will not be ignored or wasted, so that valuable leads have the opportunity to be taken over by other account managers. The car purchase leads of the intended users are reprocessed according to the car purchase lead return mechanism. The reprocessing helps to explore potential opportunities and ensure that all valuable leads are fully utilized. Therefore, the present invention proposes a product recommendation method based on user portraits and knowledge graphs, which can solve the problem of low conversion success rate of user car purchase leads.

[0131] like Figure 2 As shown, it is a functional module diagram of a device for transferring and grabbing orders based on car purchase clues provided by an embodiment of the present invention.

[0132] The device 100 for transferring and grabbing orders based on car purchase clues of the present invention can be installed in an electronic device. According to the functions to be implemented, the device 100 for transferring and grabbing orders based on car purchase clues can include a task pool establishment module 101, a clue screening module 102, an outbound call processing module 103, an intention marking module 104 and the clue return module 105. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0133] In this embodiment, the functions of each module / unit are as follows:

[0134] The task pool establishment module 101 is used to establish a lead order grabbing task pool according to the reserved information of the intended user;

[0135] The lead screening module 102 is used to screen the car purchase leads in the lead order grabbing task pool for brand leads;

[0136] The outbound call processing module 103 is used to perform outbound call processing on the intended user according to the screening result of the brand clue screening;

[0137] The intention marking module 104 is used to mark the intended user according to the processing result of the outbound call processing to obtain the intention value of the intended user;

[0138] The lead return module 105 is used to connect the intended user with the car purchase business according to the intention value, establish a car purchase lead return mechanism according to the connection result of the car purchase business connection, and re-process the car purchase lead of the intended user according to the car purchase lead return mechanism.

[0139] like Figure 3 As shown, it is a structural diagram of an electronic device for implementing a method for transferring and grabbing orders based on car purchase clues provided by an embodiment of the present invention.

[0140] The electronic device may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for transferring orders based on car purchase leads.

[0141] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, executing a program for transferring orders based on car purchase leads, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device and process data.

[0142] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 11 may also include both an internal storage unit of the electronic device and an external storage device. The memory 11 can be used not only to store application software and various types of data installed in the electronic device, such as the code of the order-grabbing program based on the car purchase clue, but also to temporarily store data that has been output or is to be output.

[0143] The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0144] The communication interface 13 is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0145] The figure only shows an electronic device with components. Those skilled in the art will understand that the structure shown in the figure does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0146] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0147] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0148] The program for transferring and grabbing orders based on car purchase clues stored in the memory 11 of the electronic device is a combination of multiple instructions. When running in the processor 10, the following can be achieved:

[0149] Establish a lead order grabbing task pool based on the reserved information of potential users;

[0150] Screening the car purchase leads in the lead order grabbing task pool for brand leads;

[0151] Performing outbound call processing on the intended user according to the screening result of the brand lead screening;

[0152] Marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user;

[0153] The potential user is connected with the car purchase business according to the intention value, a car purchase lead return mechanism is established according to the connection result of the car purchase business connection, and the car purchase lead of the potential user is reprocessed according to the car purchase lead return mechanism.

[0154] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0155] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0156] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0157] Establish a lead order grabbing task pool based on the reserved information of potential users;

[0158] Screening the car purchase leads in the lead order grabbing task pool for brand leads;

[0159] Performing outbound call processing on the intended user according to the screening result of the brand lead screening;

[0160] Marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user;

[0161] The potential user is connected with the car purchase business according to the intention value, a car purchase lead return mechanism is established according to the connection result of the car purchase business connection, and the car purchase lead of the potential user is reprocessed according to the car purchase lead return mechanism.

[0162] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0163] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0164] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0165] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0166] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0167] The blockchain referred to in this invention is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.

[0168] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0169] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0170] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for transferring orders based on car purchase clues, characterized in that: The method comprises: Establish a lead order grabbing task pool based on the reserved information of potential users; Screening the car purchase leads in the lead order grabbing task pool for brand leads; Performing outbound call processing on the intended user according to the screening result of the brand lead screening; Marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user; The potential user is connected with a car purchase business according to the intention value, a car purchase lead return mechanism is established according to the connection result of the car purchase business connection, and the car purchase lead of the potential user is reprocessed according to the car purchase lead return mechanism.

2. The method for transferring and grabbing orders based on car purchase clues according to claim 1, characterized in that: The step of establishing a lead order grabbing task pool according to the reserved information of the intended user includes: Using the preset CLEW platform to collect the reservation information of the intended user, wherein the reservation information includes: contact information, preferred brand and budget range; A task pool of leads and orders for the potential users is established based on the reserved information.

3. The method for transferring orders based on car purchase clues according to claim 1, characterized in that: The screening of brand leads for the car purchase leads in the lead order grabbing task pool includes: Classifying the car purchase leads in the lead order grabbing task pool by brand; The car purchase leads are selected according to the classification results of the brand classification and the preset brand allocation rules.

4. The method for transferring orders based on car purchase clues according to claim 1, characterized in that: The step of marking the intended user according to the processing result of the outbound call processing to obtain the intended value of the intended user includes: Performing intention analysis on the car purchasing intention of the potential user according to the processing result of the outbound call processing; Marking the intended user according to the analysis result of the intention analysis to obtain the marking result of the intended user; An intention value of the intended user is generated according to the marking result.

5. The method for transferring orders based on car purchase clues according to claim 1, characterized in that: The connecting the intended user with a car purchase business according to the intention value includes: Generating a priority docking value for the intended user according to the intention value; Generating a service docking sequence for the intended user according to the priority docking value; Car purchase business docking is performed for the potential users in sequence according to the business docking sequence.

6. The method for transferring orders based on car purchase clues according to claim 1, characterized in that: The vehicle purchase lead return mechanism is established according to the docking result of the vehicle purchase business docking, including: When the result of the car purchase business docking is that the account manager fails to follow up in time, the car purchase lead selected by the account manager is returned to the lead order grabbing task pool; When the docking result of the car purchase business docking is that the potential user refuses to follow up, the car purchase lead corresponding to the potential user is returned to the lead order grabbing task pool.

7. The method for transferring orders based on car purchase clues according to any one of claims 1 to 6, characterized in that: The reprocessing of the car purchase leads of the intended user according to the car purchase lead return mechanism includes: Determining the returned car purchase leads according to the car purchase lead return mechanism; Conduct lead evaluation on the returned car purchase leads, and reprocess the business of the intended user according to the evaluation value of the lead evaluation.

8. A device for transferring and grabbing orders based on car purchase clues, characterized in that: The device comprises: The task pool establishment module is used to establish a lead order grabbing task pool based on the reserved information of potential users; A lead screening module is used to screen the car purchase leads in the lead order grabbing task pool for brand leads; An outbound call processing module, used for performing outbound call processing on the intended user according to the screening result of the brand clue screening; An intention marking module, used to mark the intended user according to the processing result of the outbound call processing, and obtain the intention value of the intended user; The lead return module is used to connect the intended user with the car purchase business according to the intention value, establish a car purchase lead return mechanism according to the connection result of the car purchase business connection, and re-process the car purchase lead of the intended user according to the car purchase lead return mechanism.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for converting and grabbing orders based on car purchase leads as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for transferring and grabbing orders based on car purchase leads as described in any one of claims 1 to 7 is implemented.

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