Vehicle source vehicle searching method and device, computer equipment and storage medium

Abstract

The embodiment of the invention provides a vehicle searching method and device for a vehicle source, computer equipment and a storage medium, and belongs to the technical field of financial data processing, and the method comprises the steps: obtaining the original demand data of the vehicle source, the original demand data of the vehicle source comprises the demand number of a demand vehicle demander for a target vehicle model; based on the vehicle source original demand data, determining a demand index of the target vehicle type, the demand index being used for representing a vehicle searching demand of a vehicle demander for the target vehicle type; based on the demand index of the target vehicle model, performing vehicle searching processing on the target vehicle model to obtain a vehicle source of the target vehicle model through matching; and updating the demand index of the target vehicle model based on the vehicle source to obtain a new demand index of the target vehicle model, and carrying out vehicle searching processing on the target vehicle model based on the demand index of the target vehicle model again until the searched vehicle source meets the vehicle searching demand of the demander for the target vehicle model. According to the technical scheme, the transaction efficiency of the second-hand car market and the second-hand car source circulation efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, device, computer equipment and storage medium for finding a vehicle source. Background Art

[0002] In the second-hand car transaction, the demand car dealers responsible for the sale of second-hand car sources can only find a part of the second-hand car sources provided by the supply car dealers that match the needs of downstream car buyers for sale. In this way, under the situation that the car purchasing needs of downstream car buyers are constantly changing, the demand car dealers often find it difficult to match the sources of cars that meet their needs, which makes the transaction efficiency of the second-hand car market low, thus affecting the efficiency of the flow of second-hand car sources between the demand car dealers and the supply car dealers, resulting in losses or operational difficulties for both parties.

[0003] Therefore, how to improve the transaction efficiency of the used car market, thereby improving the efficiency of the flow of used car sources between demand dealers and supply dealers, has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to propose a method, device, computer equipment and computer-readable storage medium for finding a vehicle source, aiming to improve the transaction efficiency of the used car market, thereby improving the efficiency of the flow of used car sources between demand car dealers and supply car dealers.

[0005] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application provides a method for finding a vehicle source, the method comprising:

[0006] Acquire original vehicle source demand data, where the original vehicle source demand data includes the demand quantity of at least one vehicle model by at least one demanding vehicle dealer;

[0007] Determining a demand index of a target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demand vehicle dealer for the target vehicle model;

[0008] Based on the demand index of the target vehicle model, performing vehicle search processing for the target vehicle model to match and obtain at least one vehicle source of the target vehicle model;

[0009] Based on at least one vehicle source of the target vehicle model, the demand index of the target vehicle model is updated to obtain a new demand index of the target vehicle model, and the vehicle search process based on the demand index of the target vehicle model is re-executed for the target vehicle model until the vehicle source found satisfies the vehicle search demand of at least one demanding vehicle dealer for the target vehicle model.

[0010] In some embodiments, the updating of the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model includes:

[0011] Obtaining the allocation quantity and transaction quantity of the at least one vehicle source respectively by the at least one demanding vehicle dealer;

[0012] Calculating the allocated quantity and the transaction quantity to obtain the virtual shortage number of the target vehicle model of the at least one demanding vehicle dealer;

[0013] The demand index of the target vehicle model is updated in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model.

[0014] In some embodiments, the real-time updating of the demand index of the target vehicle model based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model includes:

[0015] Calculating a ratio of the number of virtual vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer;

[0016] Multiplying the total of the ratios by a first weight value to obtain a first product;

[0017] Superimposing the first product and the second product to obtain a new demand index for the target vehicle model;

[0018] The second product is a product obtained by multiplying the total number of the at least one demanding vehicle dealer by the second weight value.

[0019] In some embodiments, the method further comprises:

[0020] Obtaining the transaction status of the target vehicle type;

[0021] The step of updating the demand index of the target vehicle model in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model includes:

[0022] Based on the transaction status of the target vehicle model, the virtual number of vehicles missing of the target vehicle model is updated to obtain a new virtual number of vehicles missing of the target vehicle model;

[0023] The demand index of the target vehicle model is updated in real time based on the new virtual vehicle shortage number of the target vehicle model to obtain a new demand index of the target vehicle model.

[0024] In some embodiments, the new demand index of the target vehicle model includes: when the transaction status of the target vehicle model is to release a vehicle source, the new demand index of the target vehicle model is obtained by updating the demand index of the target vehicle model in real time;

[0025] After updating the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model, the method further includes:

[0026] When the transaction status of the target vehicle model by the at least one demanding vehicle dealer is vehicle source release, obtaining a new demand index of the target vehicle model;

[0027] The obtained new demand index of the target vehicle model is superimposed and calculated to obtain a vehicle source demand matching score of the target vehicle model;

[0028] Determining a vehicle source demand matching situation of the target vehicle model based on the vehicle source demand matching score of the target vehicle model;

[0029] Among them, the vehicle source demand matching score of the target vehicle model is positively correlated with the vehicle source demand matching situation of the target vehicle model.

[0030] In some embodiments, determining the demand index of the target vehicle model based on the original vehicle source demand data includes:

[0031] Determining at least one vehicle type in the vehicle source original demand data as a target vehicle type;

[0032] The number of at least one demanding vehicle dealer in the original vehicle source demand data and the demand quantity of the target vehicle model by the at least one demanding vehicle dealer are calculated to obtain a demand index of the target vehicle model.

[0033] In some embodiments, the calculating the number of at least one demanding vehicle dealer in the original vehicle source demand data and the number of demands of the target vehicle model by the at least one demanding vehicle dealer to obtain the demand index of the target vehicle model includes:

[0034] Calculating a first ratio of the number of vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer;

[0035] Multiplying the total of the first ratios by a first weight value to obtain a first product;

[0036] Multiplying the total number of the at least one demanding car dealer by the second weight value to obtain a second product;

[0037] The first product and the second product are superimposed to obtain a demand index for the target vehicle model.

[0038] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present application provides a vehicle source finding device, the device comprising:

[0039] An acquisition module is used to acquire original vehicle source demand data, wherein the original vehicle source demand data includes the demand quantity of at least one vehicle model by at least one demanding vehicle dealer;

[0040] A demand index calculation module, used to determine a demand index of a target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demand vehicle dealer for the target vehicle model;

[0041] A vehicle search module, configured to perform vehicle search processing for the target vehicle model based on the demand index of the target vehicle model, so as to match and obtain at least one vehicle source of the target vehicle model;

[0042] The vehicle source search module is also used to update the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model, and to re-execute the vehicle search process for the target vehicle model based on the demand index of the target vehicle model until the found vehicle source meets the vehicle search demand of at least one demand vehicle dealer for the target vehicle model.

[0043] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes a computer device, which includes a memory and a processor, the memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.

[0044] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present application proposes 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, the method described in the first aspect is implemented.

[0045] To achieve the above-mentioned purpose, the fifth aspect of the embodiments of the present application proposes a computer program product, which stores a computer program. When the computer program is executed by a processor, the method described in the first aspect is implemented.

[0046] The vehicle source search method, device, computer equipment, computer-readable storage medium and computer program product proposed in the present application obtain original vehicle source demand data, wherein the original vehicle source demand data includes the demand quantity of at least one vehicle model by at least one demanding vehicle dealer; determine the demand index of a target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demanding vehicle dealer for the target vehicle model; perform vehicle search processing on the target vehicle model based on the demand index of the target vehicle model to match and obtain at least one vehicle source of the target vehicle model; update the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model, and re-execute the vehicle search processing on the target vehicle model based on the demand index of the target vehicle model until the found vehicle source meets the vehicle search demand of the at least one demanding vehicle dealer for the target vehicle model.

[0047] Thus, compared with the traditional second-hand car transaction in which the demand car dealer can only match the car model for the downstream car buyer based on the car source provided by the supply car dealer, the technical solution of the present application first obtains the original demand data of the car source including the number of car models required by the demand car dealer, and then determines the demand index representing the demand car dealer's car search demand for the target car model based on the original demand data of the car source, and then performs the car search process based on the demand index of the target car model to match the car source of the target car model. Moreover, after finding the car source of the target car model based on the demand index of the target car model, the demand index of the target car model is further updated to obtain a new demand index, and then the car search process is continued for the target car model according to the new demand index, and the cycle is repeated until the car source found meets the demand car dealer's car search demand for the target car model. In other words, the technical solution of the present application can meet the needs of car buyers to the greatest extent by conducting targeted car searches based on the demand of the demand car dealer for one or more car models, thereby improving the transaction efficiency of the second-hand car market, and then improving the efficiency of the second-hand car source circulation between the demand car dealer and the supply car dealer. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic flow chart of the steps of the vehicle source search method provided in some embodiments of the present application;

[0049] Figure 2 for Figure 1 Schematic diagram of detailed process flow of step S102;

[0050] Figure 3 for Figure 1 A detailed step flow diagram of step S104;

[0051] Figure 4 for Figure 1 Another detailed flow chart of step S104;

[0052] Figure 5 A flow chart of updating the demand index of the vehicle source search method provided in the embodiment of the present application in the transaction state;

[0053] Figure 6 A schematic diagram of a flow chart of updating a demand index in a vehicle source search method provided in an embodiment of the present application when a demand is modified;

[0054] Figure 7 A schematic diagram of a flow chart of updating a demand index for a vehicle source search method provided in an embodiment of the present application;

[0055] Figure 8 A schematic diagram of the steps of the vehicle source search method provided in the embodiment of the present application in other embodiments;

[0056] Fig. 9 A schematic diagram of a scenario for awarding matching points in a method for finding a vehicle source provided in an embodiment of the present application;

[0057] Fig.10 A schematic diagram of the structure of a vehicle source finding device provided in an embodiment of the present application;

[0058] Fig.11 A schematic diagram of the hardware structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0060] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0062] First, some nouns involved in this application are analyzed:

[0063] Natural language processing (NLP): NLP uses computers to process, understand and apply human languages ​​(such as Chinese, English, etc.). NLP is a branch of artificial intelligence and an interdisciplinary subject between computer science and linguistics. It is often referred to as computational linguistics. Natural language processing includes grammatical analysis, semantic analysis, and text understanding. Natural language processing is often used in technical fields such as machine translation, handwritten and printed character recognition, speech recognition and text-to-speech conversion, information intent recognition, information extraction and filtering, text classification and clustering, public opinion analysis and opinion mining. It involves data mining related to language processing, machine learning, knowledge acquisition, knowledge engineering, artificial intelligence research, and linguistic research related to language computing.

[0064] Information Extraction: A text processing technology that extracts specified types of entity, relationship, event and other factual information from natural language text and forms structured data output. Information extraction is a technology that extracts specific information from text data. Text data is composed of some specific units, such as sentences, paragraphs, and chapters. Text information is composed of some small specific units, such as characters, words, phrases, sentences, paragraphs, or a combination of these specific units. Extracting noun phrases, names, place names, etc. from text data are all text information extraction. Of course, the information extracted by text information extraction technology can be various types of information.

[0065] Next, the overall concept of this application is explained:

[0066] In the process of used car transactions, there are suppliers and demanders. Among them, suppliers are responsible for the supply of vehicles and have a stable channel for purchasing vehicles, while demanders are responsible for the sales of vehicles, have demand for vehicles and have downstream customers to purchase vehicles. However, in the long-term transaction process between suppliers and demanders, due to the lack of understanding of the actual number of vehicles and brand series of vehicles demanded by demanders, demanders responsible for the sales of used car sources can only find a part of the used car sources provided by suppliers to match the needs of downstream car buyers for sale. In this way, when the car purchasing needs of downstream car buyers are constantly changing, demanders often find it difficult to match the sources of vehicles that meet their needs, which makes the transaction efficiency of the used car market low, thereby affecting the efficiency of the circulation of used car sources between demanders and suppliers, resulting in losses or operational difficulties for both parties.

[0067] In the related technologies, only when the used car suppliers accurately understand the downstream demand dealers' requirements for brands, car series, and demand quantity and then conduct targeted car searches, can they improve the demand matching degree in the transaction process and ensure that the supply dealers will not have the risk of unsalable products due to over-collection, thereby achieving a basic supply and demand balance between the supply dealers and the demand dealers. However, since the demand dealers' demand for car models will change in real time due to the influence of downstream car buyers, and the demand dealers cannot guarantee the accurate number of cars of a certain brand in order to maximize their profits, it is difficult to effectively guide the supply dealers to search for cars.

[0068] Therefore, how to guide supply dealers to search for cars based on the demand dealers' demand for car models, so that demand dealers can meet the car purchasing needs of car buyers to improve the transaction efficiency of the used car market, and then improve the efficiency of the flow of used car sources between demand dealers and supply dealers, has become a technical problem that needs to be solved urgently.

[0069] In view of this problem, the embodiment of the present application provides a method, device, computer equipment and computer-readable storage medium for finding a vehicle source, aiming to improve the transaction efficiency of the used car market, thereby improving the efficiency of the flow of used car sources between demand car dealers and supply car dealers. In order to achieve this purpose, the present application obtains original demand data of the vehicle source, wherein the original demand data of the vehicle source includes the demand quantity of at least one vehicle model of at least one demand car dealer; based on the original demand data of the vehicle source, determines the demand index of the target vehicle model, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demand car dealer for the target vehicle model; based on the demand index of the target vehicle model, performs vehicle search processing for the target vehicle model to match and obtain at least one vehicle source of the target vehicle model; based on at least one vehicle source of the target vehicle model, updates the demand index of the target vehicle model to obtain a new demand index of the target vehicle model, and re-executes the vehicle search processing for the target vehicle model based on the demand index of the target vehicle model, until the vehicle source found meets the vehicle search demand of the at least one demand car dealer for the target vehicle model.

[0070] Thus, compared with the traditional second-hand car transaction in which the demand car dealer can only match the car model for the downstream car buyer based on the car source provided by the supply car dealer, the technical solution of the present application first obtains the original demand data of the car source including the number of car models required by the demand car dealer, and then determines the demand index representing the demand car dealer's car search demand for the target car model based on the original demand data of the car source, and then performs the car search process based on the demand index of the target car model to match the car source of the target car model. Moreover, after finding the car source of the target car model based on the demand index of the target car model, the demand index of the target car model is further updated to obtain a new demand index, and then the car search process is continued for the target car model according to the new demand index, and the cycle is repeated until the car source found meets the demand car dealer's car search demand for the target car model. In other words, the technical solution of the present application can meet the needs of car buyers to the greatest extent by conducting targeted car searches based on the demand of the demand car dealer for one or more car models, thereby improving the transaction efficiency of the second-hand car market, and then improving the efficiency of the second-hand car source circulation between the demand car dealer and the supply car dealer.

[0071] Based on the overall concept of the present application described above, various specific embodiments of the vehicle source finding method, device, computer equipment and computer-readable storage medium provided in the embodiments of the present application are proposed. First, the vehicle source finding method provided in the embodiments of the present application is described in detail.

[0072] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0073] The vehicle source search method provided in the embodiment of the present application relates to the field of data processing technology. The vehicle source search method provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server side, and can also be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides 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 and other basic cloud computing services; the software can be an application that implements the vehicle source search method, etc., but is not limited to the above forms.

[0074] For ease of understanding and explanation, the following text will take the method for finding a vehicle source provided by the embodiment of the present application as an example of a terminal device applying the method for finding a vehicle source as an example to explain the present application in detail. It should be understood that, in combination with the supply and demand relationship between the car source supplier and the demander in the aforementioned second-hand car transaction, the terminal device in the embodiment of the present application can be a terminal device used by the supplier to find a vehicle, or, in some feasible embodiments, the terminal device can also be a terminal device used by the demander or other object to guide the supplier to find a vehicle, and the embodiment of the present application does not impose specific restrictions on this. In addition, any form of subject matter other than the terminal device mentioned above, the implementation of the method for finding a vehicle source provided by the embodiment of the present application can refer to the process of the terminal device applying the method for finding a vehicle source as explained later.

[0075] Please refer to Figure 1 , Figure 1 The following is a flow chart of the steps of the method for finding a vehicle source in some embodiments of the present application. It should be understood that although Figure 1 The execution order of some method steps is shown in the figure, but based on different design requirements of actual applications, the vehicle source search method provided in the embodiment of the present application can certainly adopt an execution order different from the method steps shown in the figure. That is, Figure 1 The order of the steps of the method shown does not constitute a limitation on the execution logic order of the method for finding a vehicle source provided in the embodiment of the present application. Figure 1 Reasonable changes in the order of the steps of the method shown should be included in the protection scope of the vehicle source search method provided in the embodiment of the present application.

[0076] like Figure 1 As shown, in some embodiments, the vehicle source search method provided in the embodiments of the present application may include but is not limited to steps S101 to S104.

[0077] Step S101, obtaining original vehicle source demand data, wherein the original vehicle source demand data includes the demand quantity of at least one vehicle model from at least one demanding vehicle dealer.

[0078] The terminal device calculates the demand index of each demanding car dealer for one or more car models in real time as a guide for car dealers to find cars. That is, the terminal device first obtains the demand quantity of at least one demanding car dealer for at least one car model, and uses the obtained data as the original demand data of the car source.

[0079] It should be noted that the car-finding guide can be a prompt message provided by the terminal device to the car supplier. Through this prompt message, the car supplier can accurately understand the downstream car demand dealers' information on brands, car series, models, demand quantities, etc., so as to find the models that the car demand dealers need to provide to downstream car buyers for transactions.

[0080] For example, the terminal device can collect data from three demand car dealers A, B and C to obtain the vehicle source requirements that different demand car dealers need to provide to meet the transaction requirements of downstream car buyers. Then, the terminal device performs natural language processing on the vehicle source requirements of different demand car dealers to generate the original vehicle source demand data shown in the following table.

[0081] Demand car dealer A B C Required model (M) Volkswagen CC, BYD Han Volkswagen CC, Audi A4 BMW 3 Series, BYD Han Number of missing vehicles (N) 5 2 4

[0082] Among them, the number of shortfalls refers to the number of cars that are lacking to meet the demand of car models by car dealers.

[0083] Step S102, determining a demand index of a target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demanding vehicle dealer for the target vehicle model.

[0084] After obtaining the original vehicle demand data, the terminal device extracts information from the original vehicle demand data to obtain the demand quantity of at least one vehicle model from at least one demanding vehicle dealer in the original vehicle demand data. Then, the terminal device calculates a demand index that can characterize the demand of at least one vehicle dealer for the target vehicle model according to the demand of each vehicle dealer for any one of the at least one target vehicle model.

[0085] In some embodiments, the terminal device can extract information from the original vehicle source demand data to extract at least the number of at least one demanding vehicle dealer and the number of demands of at least one demanding vehicle dealer for the target vehicle model from the original vehicle source demand data. Then, the terminal device can calculate the demand index of the target vehicle model by using the extracted number of demanding vehicle dealers and the number of demands of the target vehicle dealers for the target vehicle model.

[0086] Please refer to Figure 2 , Figure 2 for Figure 1 Schematic diagram of the detailed step flow of step S102.

[0087] like Figure 2 As shown, in some embodiments, the above-mentioned step S102, based on the original demand data of the vehicle source, determines the demand index of the target vehicle model, and may include steps S201 to S202 as shown below.

[0088] Step S201, determining at least one vehicle model in the vehicle source original demand data as a target vehicle model.

[0089] When the terminal device extracts information from the original demand data of the vehicle source to calculate the demand index of the target vehicle model through the extracted data, each demand vehicle model in the original demand data of the vehicle source is determined in turn as the target vehicle model for which the demand index needs to be calculated.

[0090] Step S202, calculating the number of at least one demanding vehicle dealer in the original vehicle source demand data and the demand quantity of the at least one demanding vehicle dealer for the target vehicle model, to obtain a demand index for the target vehicle model.

[0091] After determining that at least one vehicle model in the original vehicle demand data is the target vehicle model, the terminal device further extracts the number of all demanding vehicle dealers in the original vehicle demand data, and extracts the demand quantity of the target vehicle model for each demanding vehicle dealer among all demanding vehicle dealers. Then, the terminal device performs a weighted calculation on the number of demanding vehicle dealers extracted and the demand quantity of the target vehicle model for the demanding vehicle dealers, and thus obtains the demand index of the target vehicle model.

[0092] Since the vehicle source demands of different demand vehicle dealers overlap, in some embodiments, the terminal device can calculate the total demand for a target vehicle model as the demand index of the target vehicle model according to the vehicle source demand of each demand vehicle dealer. Based on this, the above step S202, calculating the number of at least one demand vehicle dealer in the vehicle source original demand data and the number of demands of the at least one demand vehicle dealer for the target vehicle model to obtain the demand index of the target vehicle model, can include the following steps.

[0093] Calculating a first ratio of the number of vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer;

[0094] Multiplying the total of the first ratios by a first weight value to obtain a first product;

[0095] Multiplying the total number of the at least one demanding car dealer by the second weight value to obtain a second product;

[0096] The first product and the second product are superimposed to obtain a demand index for the target vehicle model.

[0097] When the terminal device performs weighted calculation on the number of extracted demand dealers and the number of demand dealers for the target model to obtain the demand index of the target model, it first calculates the first ratio of the number of short-supply vehicles to the number of demand for the target model of at least one demand dealer, and then the terminal device superimposes the first ratios of the number of short-supply vehicles to the number of demand for the target model of different demand dealers to obtain the total number of first ratios, and multiplies the total number of first ratios by the first weight value to obtain a first product. In addition, the terminal device also multiplies the total number of at least one demand dealer in the original demand data of the vehicle source by the second weight value to obtain a second product. Finally, the terminal device can obtain the demand index of the target model by superimposing the first product and the second product.

[0098] Exemplarily, the terminal device can use the formula: demand index W of the target vehicle model = Σ(number of out-of-stock vehicles / number of demand) x α + Σ number of demanded vehicle dealers x β to calculate the demand index W of the target vehicle model. Wherein, α is the first weight value, and β is the second weight value. For example, the terminal device calculates the first ratio of the number of out-of-stock vehicles to the number of demanded vehicles for the target vehicle model of at least one demanded vehicle dealer, and superimposes the first ratios of the number of out-of-stock vehicles to the number of demanded vehicles for the target vehicle model of different demanded vehicle dealers to obtain the total number of the first ratios, and then multiplies the total number of the first ratios by the first weight value α to obtain the first product. In addition, the terminal device also obtains the second product by multiplying the total number of demanded vehicle dealers in the original demand data of the vehicle source by the second weight value β. Finally, the terminal device can obtain the demand index W of the target vehicle model by superimposing the first product and the second product.

[0099] It should be noted that the first weight value α and the second weight value β can be adjusted in real time according to data performance, and the vehicle source search method provided in the embodiment of the present application does not limit the specific sizes of the first weight value α and the second weight value β.

[0100] Step S103: Based on the demand index of the target vehicle model, a vehicle search process is performed for the target vehicle model to match and obtain at least one vehicle source of the target vehicle model.

[0101] After calculating the demand index of the target vehicle model, the terminal device uses the demand index as a vehicle search guide for vehicle suppliers, so that the vehicle suppliers can search for the target vehicle model based on the demand index, thereby matching at least one vehicle source for the target vehicle model.

[0102] It should be noted that the terminal device can display the demand index of the target model to the car supplier in the form of real-time updated data reports, so that the demand index of the target model can be used as a guide for the car supplier to find the car, and guide the car supplier to conduct targeted car search for the target model.

[0103] Step S104, based on at least one vehicle source of the target vehicle model, updating the demand index of the target vehicle model to obtain a new demand index of the target vehicle model, and re-executing the vehicle search process for the target vehicle model based on the demand index of the target vehicle model until the found vehicle source meets the vehicle search demand of at least one demanding vehicle dealer for the target vehicle model.

[0104] After the terminal device uses the demand index of the target model as a vehicle search guide to guide the vehicle supplier to search for the vehicle, if the vehicle supplier finds at least one vehicle source of the target model according to the vehicle search guide, the terminal device will further update the demand index of the target model in real time based on the at least one vehicle source of the target model, thereby obtaining a new demand index of the target model, and after that, the terminal device further re-executes the above step S103, and searches for the target model based on the demand index of the target model. This cycle is repeated until the vehicle source found by the vehicle supplier according to the vehicle search guide can meet the vehicle search demand of at least one demand vehicle supplier for the target model.

[0105] For example, when the terminal device calculates that the demand index W of a certain target model is 20, the terminal device uses the demand index W=20 as a guide for finding the target model to guide the car supplier to search for the car. If the car supplier finds 15 sources of the target model according to the guide, and reports the found car source data 15 to the terminal device, the terminal device updates the demand index W=20 of the target model in real time (demand index W=20-found car source data 15) to obtain a new demand index W=5 for the target model. Then, the terminal device continues to use the demand index W=5 as a guide for finding the target model to guide the car supplier to continue searching for the car. Finally, when the supplier further finds 5 sources of the target model according to the guide, and reports the found car source data 5 to the terminal device, the terminal device updates the demand index W=5 of the target model in real time again to obtain a new demand index W=0 for the target model. Since the demand index W=0 indicates that the source of vehicles found by the car supplier according to the car search guide is able to meet the car supplier's car search demand for the target model, the terminal device stops using the demand index W=0 as the car search guide to guide the car supplier to search for the target model.

[0106] In this embodiment, the terminal device first obtains the demand quantity of at least one demand vehicle dealer for at least one vehicle model, and uses the obtained data as the original vehicle source demand data. Then, the terminal device extracts information from the original vehicle source demand data to obtain the demand quantity of at least one demand vehicle dealer for at least one vehicle model in the original vehicle source demand data. Then, according to the vehicle search demand of each demand vehicle dealer for any one of the at least one vehicle model, the terminal device calculates a demand index that can characterize the vehicle search demand of at least one demand vehicle dealer for the target vehicle model. After calculating the demand index of the target vehicle model, the terminal device uses the demand index as a vehicle search guide for the supply vehicle dealer, so that the supply vehicle dealer performs vehicle search processing for the target vehicle model based on the demand index, thereby matching at least one vehicle source for the target vehicle model. Furthermore, after the terminal device uses the demand index of the target vehicle model as a vehicle search guide to instruct the vehicle supplier to perform vehicle search processing, if the vehicle supplier finds at least one vehicle source of the target vehicle model according to the vehicle search guide, the terminal device will further update the demand index of the target vehicle model in real time based on the at least one vehicle source of the target vehicle model, thereby obtaining a new demand index for the target vehicle model. Moreover, thereafter, the terminal device will further re-perform vehicle search processing for the target vehicle model based on the demand index of the target vehicle model, and repeat this cycle until the vehicle source found by the vehicle supplier according to the vehicle search guide can meet the vehicle search demand of at least one demand vehicle supplier for the target vehicle model.

[0107] Thus, compared with the traditional second-hand car transaction in which the demand car dealer can only match the car model for the downstream car buyer based on the car source provided by the supply car dealer, the technical solution of the present application first obtains the original demand data of the car source including the number of car models required by the demand car dealer, and then determines the demand index representing the demand car dealer's car search demand for the target car model based on the original demand data of the car source, and then performs the car search process based on the demand index of the target car model to match the car source of the target car model. Moreover, after finding the car source of the target car model based on the demand index of the target car model, the demand index of the target car model is further updated to obtain a new demand index, and then the car search process is continued for the target car model according to the new demand index, and the cycle is repeated until the car source found meets the demand car dealer's car search demand for the target car model. In other words, the technical solution of the present application can meet the needs of car buyers to the greatest extent by conducting targeted car searches based on the demand of the demand car dealer for one or more car models, thereby improving the transaction efficiency of the second-hand car market, and then improving the efficiency of the second-hand car source circulation between the demand car dealer and the supply car dealer.

[0108] Please refer to Figure 3 , Figure 3 for Figure 1 A schematic diagram of a detailed step flow chart of step S104.

[0109] like Figure 3 As shown, in some embodiments, in the above-mentioned step S104, based on at least one vehicle source of the target vehicle model, the demand index of the target vehicle model is updated to obtain a new demand index of the target vehicle model, which may include steps S301 to S303 as shown below.

[0110] Step S301, obtaining the allocation quantity and transaction quantity of the at least one vehicle source respectively by the at least one demanding vehicle dealer.

[0111] It should be noted that in used car transactions, after finding a source of cars, the car supplier usually directly allocates the car source according to the car source demand of the car demand dealer, so as to transfer the found car source to the car demand dealer, and the car demand dealer sells the car source to the downstream car buyers. In this way, when the car supplier allocates the found car source to the car demand dealer, it can report the allocation quantity of different car demand dealers to the terminal device, and after the car demand dealer sells the car source to the downstream car buyer, it can also report the transaction quantity to the terminal device directly or indirectly through the car supplier.

[0112] After the terminal device uses the demand index of the target vehicle model as a guide for searching for a vehicle, thereby instructing the car supplier to search for a vehicle and find at least one source of the target vehicle model, the terminal device further obtains the allocation quantity and transaction quantity of at least one source of the target vehicle model from the demand car supplier.

[0113] Step S302, calculating the allocated quantity and the transaction quantity to obtain the virtual shortage number of the target vehicle model of the at least one demanding vehicle dealer.

[0114] After obtaining the allocation quantity and transaction quantity of at least one source of the target model from the demanding car dealer, the terminal device calculates the allocation quantity and transaction quantity to obtain the virtual shortage number of the target model from at least one demanding car dealer.

[0115] In some embodiments, the terminal device can allocate the vehicle sources found and successfully matched by the supply dealer according to the demand index (number of missing vehicles / number of demand) of each demand dealer for the target model from high to low, so as to obtain the virtual number of missing vehicles N' of the target model of the demand dealer. For example, the terminal device can use the formula: virtual number of missing vehicles N'=NCO to calculate the allocation number C and the transaction number O of at least one vehicle source of the target model, so as to obtain the virtual number of missing vehicles N' of the target model of the demand dealer.

[0116] It should be noted that in the above formula, "N" can be the number of shortfalls of the target model in the original demand data of the vehicle source. In addition, in the process of updating the demand index of the target model in a new round based on the virtual shortfall number, "N" can be the virtual shortfall number N' calculated in the previous round.

[0117] Step S303: updating the demand index of the target vehicle model in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model.

[0118] After the terminal device calculates the minimum allocated quantity and transaction quantity of the target model to the source through the demand car dealers, thereby obtaining the virtual vehicle shortage number of the target model, the terminal device can use the virtual vehicle shortage number to calculate the demand index after matching the vehicle source demand of the target model with the demand car dealers, thereby updating the demand index of the target model in real time to obtain a new demand index for the target model.

[0119] In some embodiments, the terminal device can also perform weighted calculation on the virtual shortage number of the target model by the demanding car dealers to update the demand index of the target model in real time to obtain a new demand index of the target model. Based on this, the above step S303 can include the following steps:

[0120] Calculating a ratio of the number of virtual vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer;

[0121] Multiplying the total of the ratios by a first weight value to obtain a first product;

[0122] Superimposing the first product and the second product to obtain a new demand index for the target vehicle model;

[0123] The second product is a product obtained by multiplying the total number of the at least one demanding vehicle dealer by the second weight value.

[0124] When the terminal device updates the demand index of the target vehicle model in real time, it first calculates the ratio of the number of virtual shortages of at least one demanding vehicle dealer for the target vehicle model to the number of demanded vehicles, and then multiplies the total of the ratios by the first weight value to obtain a first product. In addition, the terminal device also multiplies the total number of at least one demanding vehicle dealer by the second weight value to obtain a second product. In this way, the terminal device can obtain a new demand index for the target vehicle model by superimposing the first product and the second product.

[0125] It should be noted that the first weight value may be the same as the aforementioned first weight value α, and the second weight value may be the same as the aforementioned second weight value β.

[0126] In this embodiment, after the supply dealer finds at least one source of the target model, the terminal device further obtains the allocation quantity and transaction quantity of at least one source of the target model from the demand dealer, and calculates the allocation quantity and transaction quantity to obtain the virtual shortage number of the target model from at least one demand dealer. In addition, the terminal device calculates the demand index after matching the vehicle source demand of the demand dealer for the target model through the virtual shortage number, thereby updating the demand index of the target model in real time and obtaining a new demand index of the target model.

[0127] In this way, after the car suppliers find the car sources to match the car source demand for the target car model, the demand index of the target car model is reduced in real time, and then the car suppliers are guided to find cars according to the new demand index. In this way, the car suppliers can adjust the car search strategy in time and find the target car model more efficiently and accurately for transaction flow.

[0128] In some embodiments, the terminal device may also update the virtual number of cars out of stock for the target model of at least one demanding car dealer based on the transaction status of the target model, and then update the demand index of the target model based on the updated virtual number of cars out of stock. Based on this, the vehicle source search method provided in the embodiment of the present application may also include:

[0129] Get the transaction status of the target vehicle type.

[0130] It should be noted that the transaction status includes but is not limited to: transaction, release of vehicle sources, re-listing, delisting, modification of vehicle source requirements, etc. It should be understood that based on different design requirements of actual applications, in different feasible implementations, the transaction status of a certain vehicle model may of course include other states not listed here, and the vehicle source search method provided in the embodiment of the present application does not limit the specific types of transaction status of vehicle models.

[0131] At any time when the terminal device is searching for a vehicle or guiding a car dealer to search for a vehicle, the terminal device can collect data from the second-hand car trading platform to obtain the transaction status of any target vehicle model among at least one vehicle model.

[0132] Please refer to Figure 4 , Figure 4 for Figure 1 Another detailed flowchart of step S104 is shown in FIG.

[0133] like Figure 4 As shown, in some embodiments, the above-mentioned step S104, based on the virtual number of short-cars, updates the demand index of the target vehicle model in real time to obtain a new demand index of the target vehicle model, and may also include steps S401 to S402 as shown below.

[0134] Step S401: updating the virtual number of vehicles missing of the target vehicle model based on the transaction status of the target vehicle model to obtain a new virtual number of vehicles missing of the target vehicle model.

[0135] After acquiring the transaction status of the target vehicle model, the terminal device first updates the virtual vehicle shortage number of the target vehicle model according to the transaction status, thereby obtaining a new virtual vehicle shortage number of the target vehicle model.

[0136] Step S402 updates the demand index of the target vehicle model in real time based on the new virtual vehicle shortage number of the target vehicle model to obtain a new demand index of the target vehicle model.

[0137] After determining the new virtual shortage number of the target model, the terminal device calculates the ratio of the new virtual shortage number of the target model to the demand number of at least one demanding vehicle dealer, and then multiplies the total of the ratios by the first weight value to obtain a first product. In addition, the terminal device also multiplies the total number of at least one demanding vehicle dealer by the second weight value to obtain a second product. In this way, the terminal device can obtain a new demand index for the target model by superimposing the first product and the second product.

[0138] It should be noted that the first weight value may be the same as the aforementioned first weight value α, and the second weight value may be the same as the aforementioned second weight value β.

[0139] For example, please refer to Figure 5 , Figure 5 A flow chart of updating the demand index of the vehicle source search method provided in the embodiment of the present application under the transaction status. Figure 5 As shown, after the terminal device obtains the transaction status of the target vehicle model to confirm that the vehicle model of the demand dealer A has successfully traded, it detects whether the actual number of vehicles missing for the vehicle model of the demand dealer A that has successfully traded is greater than 0, and if it is determined to be yes, it further determines whether the vehicle model of the demand dealer A that has successfully traded is the target vehicle model that is being searched for, otherwise it ends directly. If the terminal device determines that the vehicle model of the demand dealer A that has successfully traded is not the target vehicle model, the terminal device detects whether the demand dealer A has a virtual allocated vehicle. If the terminal device determines that the vehicle model of the demand dealer A that has successfully traded is the target vehicle model, the terminal device will decrement the virtual number of vehicles missing for the target vehicle model of the demand dealer A by 1, and then recalculate the demand index of the target vehicle model based on the new virtual number of vehicles missing for the target vehicle model of the demand dealer A. In the case where the terminal device detects that the demand dealer A has a virtual allocated vehicle, it further determines whether the virtual number of vehicles missing for the target vehicle model of the demand dealer A is greater than 0. If the virtual number of shortfalls of the target model by the demand dealer A is greater than 0, the terminal device will decrement the virtual number of shortfalls of the target model by 1, and decrement the number of shortfalls of the target model by 1, and then recalculate the demand index of the target model based on the new virtual number of shortfalls of the target model by the demand dealer A. In addition, if the virtual number of shortfalls of the target model by the demand dealer A is less than 0, the terminal device will roll back to the farthest virtual number of shortfalls of the target model by the demand dealer A, and then decrement the virtual number of shortfalls of the target model by 1, and then recalculate the demand index of the target model based on the new virtual number of shortfalls of the target model by the demand dealer A. Alternatively, after rolling back to the farthest virtual number of shortfalls of the target model by the demand dealer A, the terminal device further determines whether the rolled back model has a matching demand dealer. If it is determined that the rolled back model has a matching demand dealer, the terminal device will re-allocate the model virtually, and then use the rolled back model as the target model to recalculate the demand index of the target model, otherwise it will end directly.

[0140] For example, please refer to Figure 6 , Figure 6 A flow chart of updating the demand index in the vehicle source search method provided in the embodiment of the present application under the modified demand state. Figure 6As shown, after detecting that the demand dealer A has modified the vehicle source demand, the terminal device detects whether the demand dealer A has a virtually allocated vehicle. When it is detected that the demand dealer A has no virtually allocated vehicle, the terminal device directly updates the demand index of the vehicle model. When it is detected that the demand dealer A has a virtually allocated vehicle, the terminal device rolls back all virtual allocation numbers, and then detects whether the rolled back vehicle model has a matching demand dealer, and when the rolled back vehicle model has a matching demand dealer, directly updates the demand index of the vehicle model, and when the rolled back vehicle model does not match the demand dealer, re-allocates virtually, and then uses the rolled back vehicle model as the target vehicle model to recalculate the demand index of the target vehicle model. After recalculating the demand index of the target vehicle model, the terminal device performs a full matching process on the vehicle model being released, and detects whether the vehicle model being released matches the vehicle source demand of the demand dealer A for the target vehicle model. When it is detected that the vehicle source demand of the target vehicle model does not match the demand dealer A, it ends directly, and when it is detected that the vehicle source demand of the target vehicle model matches the demand dealer A, the terminal device records the vehicle source demand matching in a table, but marks that the vehicle source demand matching has no effort value.

[0141] For example, please refer to Figure 7 , Figure 7 A flow chart of updating the demand index of the vehicle source search method provided in the embodiment of the present application. Figure 7 As shown, when the vehicle model transaction status obtained by the terminal device is to release the vehicle source, the terminal device detects whether the vehicle model matches the vehicle source demand of the demand dealer for the target vehicle model, and if it is detected, records the effort value and the virtual assigned dealer. After that, the terminal device calculates the demand index of the target vehicle model by subtracting 1 from the virtual vehicle shortage number of the assigned demand dealer. In addition, when the vehicle model transaction status obtained by the terminal device is to release the vehicle source, the terminal device also continuously monitors whether the vehicle source is off the shelf. If the vehicle source is off the shelf and the off-shelf time is within 2 days after the vehicle source is released, the terminal device deducts the effort value and then rolls back the virtual vehicle shortage number. If the vehicle source is not off the shelf within 2 days after the vehicle source is released, the terminal device determines whether the vehicle source is forcibly off the shelf, and rolls back the virtual vehicle shortage number if it is. After the terminal device monitors that the vehicle source is off the shelf, it can continue to monitor whether the vehicle source is put back on the shelf. If the vehicle source is put back on the shelf, the terminal device recalculates the demand index of the target vehicle model according to the process of the transaction status of releasing the vehicle source.

[0142] In this embodiment, after the car supply dealer finds a car source to match the car source demand of the target car model, the demand index of the target car model is reduced in real time, and then the car supply dealer is guided to search for cars according to the new demand index. In this way, the car supply dealer can adjust the car search strategy in time and find the target car model more efficiently and accurately for transaction flow.

[0143] In some embodiments, after the terminal device updates the demand index of the target vehicle model by adopting the above steps S401 and S402 to obtain a new demand index, the new demand index of the target vehicle model includes: when the transaction status of the target vehicle model is to release the vehicle source, the new demand index of the target vehicle model is obtained by updating the demand index of the target vehicle model in real time. In this case, the terminal device can also calculate the score (vehicle source demand matching score) for matching the vehicle search demand of the demand vehicle dealer, thereby observing the quality of the vehicle search processing performed by the supply vehicle dealer based on the vehicle source demand matching score.

[0144] Please refer to Figure 8 , Figure 8 A schematic flowchart of the steps of the vehicle source search method provided in the embodiment of the present application in other embodiments.

[0145] like Figure 8 As shown, in some embodiments, in the above-mentioned step S104, based on at least one vehicle source of the target vehicle model, the demand index of the target vehicle model is updated to obtain a new demand index of the target vehicle model. The vehicle source search method provided in the embodiment of the present application may also include steps S801 to S803 as shown below.

[0146] Step S801, when the transaction status of the at least one demanding vehicle dealer for the target vehicle model is releasing vehicle sources, a new demand index of the target vehicle model is obtained.

[0147] When the terminal device detects that the transaction status of at least one demanding car dealer for the target car model is releasing the car source, the virtual car shortage number of the target car model is first updated based on the transaction status of the target car model to obtain a new virtual car shortage number of the target car model, and then the demand index of the target car model is updated in real time based on the new virtual car shortage number of the target car model to obtain a new demand index of the target car model.

[0148] Step S802, superimposing and calculating the acquired new demand index of the target vehicle model to obtain a vehicle source demand matching score of the target vehicle model.

[0149] The terminal device calculates and superimposes the new demand index of the acquired target vehicle model, and uses the superimposed result as the vehicle source demand matching score after matching the vehicle source demand with the target vehicle model.

[0150] Step S803: determining the vehicle source demand matching status of the target vehicle model based on the vehicle source demand matching score of the target vehicle model.

[0151] After the terminal device calculates the vehicle source demand matching score of the target vehicle model, since the vehicle source demand matching score of the target vehicle model is positively correlated with the vehicle source demand matching situation of the target vehicle model, the terminal device can determine the vehicle source demand matching situation of the target vehicle model based on the vehicle source demand matching score of the target vehicle model.

[0152] For example, as the terminal device searches for a car or guides the car supplier to search for a car, the demand index of the target car model will continue to decrease as more and more cars meet the demand. Therefore, the demand index of a target car model can form a matching score pool T = Σdemand index W when the target car model is released. In this way, the terminal device obtains the new demand index of the target car model when the transaction status of the target car model is to release the car source, and then superimposes the new demand index to obtain the car source demand matching score after matching the car source demand for the target car model.

[0153] Then, in the case where the terminal device rewards matching points, the terminal device searches for a car or performs a car search by a car supplier and obtains matching points. Fig. 9 The positive cycle shown. Thus, the terminal device can determine the vehicle source demand matching situation of the target vehicle model based on the vehicle source demand matching score of the target vehicle model.

[0154] In this embodiment, the matching point reward through the terminal device can further promote the matching of the vehicle sources with the greatest demand, thereby improving the matching quality and promoting the transaction conversion efficiency of used vehicle sources.

[0155] The embodiment of the present application also provides a vehicle source finding device, which can implement the above-mentioned vehicle source finding method.

[0156] See also Fig.10 , Fig.10 This is a schematic diagram of the structure of the vehicle source finding device provided in the embodiment of the present application. Fig.10 As shown, the vehicle source finding device provided in the embodiment of the present application includes: an acquisition module 1001, a demand index calculation module 1002 and a vehicle finding module 1003. Among them:

[0157] An acquisition module 1001 is used to acquire original vehicle demand data, where the original vehicle demand data includes the demand quantity of at least one vehicle model from at least one demanding vehicle dealer;

[0158] The demand index calculation module 1002 is used to determine the demand index of the target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demand vehicle dealer for the target vehicle model;

[0159] The vehicle search module 1003 is used to perform vehicle search processing for the target vehicle model based on the demand index of the target vehicle model, so as to match and obtain at least one vehicle source of the target vehicle model;

[0160] The vehicle search module 1003 is further used to update the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model, and to re-execute the vehicle search process for the target vehicle model based on the demand index of the target vehicle model until the found vehicle source meets the vehicle search demand of at least one demanding vehicle dealer for the target vehicle model.

[0161] In some embodiments, the vehicle search module 1003 is further used to obtain the allocation quantity and transaction quantity of the at least one vehicle source respectively by the at least one demanding vehicle dealer; calculate the allocation quantity and the transaction quantity to obtain the virtual vehicle shortage number of the at least one demanding vehicle dealer for the target vehicle model; and update the demand index of the target vehicle model in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model.

[0162] In some embodiments, the vehicle search module 1003 is further used to calculate the ratio of the number of virtual vehicle shortages and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer; multiply the total number of the ratios by the first weight value to obtain a first product; and superimpose the first product and the second product to obtain a new demand index for the target vehicle model; wherein the second product is the product obtained by multiplying the total number of the at least one demanding vehicle dealer by the second weight value.

[0163] In some embodiments, the acquisition module 1001 is also used to acquire the transaction status of the target vehicle model; the vehicle search module 1003 is also used to update the virtual vehicle shortage number of the target vehicle model based on the transaction status of the target vehicle model to obtain a new virtual vehicle shortage number of the target vehicle model; and, based on the new virtual vehicle shortage number of the target vehicle model, update the demand index of the target vehicle model in real time to obtain a new demand index of the target vehicle model.

[0164] In some embodiments, the new demand index of the target vehicle model includes: when the transaction status of the target vehicle model is to release the vehicle source, the new demand index of the target vehicle model is obtained by updating the demand index of the target vehicle model in real time. The vehicle source finding device provided in the embodiment of the present application also includes:

[0165] A matching scoring module is used to obtain a new demand index for the target vehicle model when the transaction status of at least one demand vehicle dealer for the target vehicle model is to release a vehicle source; to perform superposition calculation on the obtained new demand index of the target vehicle model to obtain a vehicle source demand matching score for the target vehicle model; and to determine a vehicle source demand matching situation for the target vehicle model based on the vehicle source demand matching score for the target vehicle model; wherein the vehicle source demand matching score for the target vehicle model is positively correlated with the vehicle source demand matching situation for the target vehicle model.

[0166] In some embodiments, the demand index calculation module 1002 is also used to determine that at least one vehicle model in the original vehicle source demand data is a target vehicle model; and to calculate the number of at least one demand vehicle dealer in the original vehicle source demand data and the demand quantity of the at least one demand vehicle dealer for the target vehicle model to obtain the demand index of the target vehicle model.

[0167] In some embodiments, the demand index calculation module 1002 is further used to calculate a first ratio of the number of vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demand vehicle dealer; multiply the total number of the first ratios by a first weight value to obtain a first product; multiply the total number of the at least one demand vehicle dealer by a second weight value to obtain a second product; and superimpose the first product and the second product to obtain the demand index of the target vehicle model.

[0168] It should be noted that the specific implementation of the vehicle source finding device provided in the embodiment of the present application is basically the same as the specific implementation of the vehicle source finding method described above, and will not be repeated here.

[0169] The embodiment of the present application also provides a computer device, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned vehicle source search method when executing the computer program. The computer device can be any intelligent terminal including a tablet computer, a vehicle-mounted computer, etc.

[0170] See also Fig.11 , Fig.11 The hardware structure of a computer device according to another embodiment is shown, and the computer device includes:

[0171] The processor 1101 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0172] The memory 1102 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1102 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1102, and the processor 1101 calls and executes the vehicle source search method of the embodiment of this application;

[0173] Input / output interface 1103, used to implement information input and output;

[0174] The communication interface 1104 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);

[0175] A bus 1105 that transmits information between various components of the device (e.g., the processor 1101, the memory 1102, the input / output interface 1103, and the communication interface 1104);

[0176] The processor 1101 , the memory 1102 , the input / output interface 1103 and the communication interface 1104 are connected to each other in communication within the device via the bus 1105 .

[0177] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned vehicle source search method is implemented.

[0178] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0179] An embodiment of the present application also provides a computer program product, which stores a computer program, and when the computer program is executed by a processor, the above-mentioned vehicle source search method is implemented.

[0180] The vehicle source search method, vehicle source search device, computer equipment, computer readable storage medium and computer program product provided in the embodiment of the present application first obtain the original vehicle source demand data including the number of vehicle models required by the demanding vehicle dealer, then determine the demand index representing the vehicle search demand of the demanding vehicle dealer for the target vehicle model based on the original vehicle source demand data, and then perform vehicle search processing based on the demand index of the target vehicle model to match the vehicle source of the target vehicle model. Moreover, after finding the vehicle source of the target vehicle model based on the demand index of the target vehicle model, the demand index of the target vehicle model is further updated to obtain a new demand index, so as to continue to search for the target vehicle model according to the new demand index, and so on until the vehicle source found meets the vehicle search demand of the demanding vehicle dealer for the target vehicle model. In other words, the technical solution of the present application can meet the needs of car buyers to the greatest extent by conducting targeted vehicle search based on the demand of the demanding vehicle dealer for one or more vehicle models, thereby improving the transaction efficiency of the used car market, and then improving the efficiency of the flow of used car sources between the demanding vehicle dealer and the supplying vehicle dealer.

[0181] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0182] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0183] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0184] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0185] The units described above as separate components may or may not be physically separated, and the components shown as units 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0186] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or 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 software functional units.

[0187] If the integrated unit 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. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0188] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for finding a vehicle source, characterized in that: The method comprises: Acquire original vehicle source demand data, where the original vehicle source demand data includes the demand quantity of at least one vehicle model by at least one demanding vehicle dealer; Determining a demand index of a target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demand vehicle dealer for the target vehicle model; Based on the demand index of the target vehicle model, performing vehicle search processing for the target vehicle model to match and obtain at least one vehicle source of the target vehicle model; Based on at least one vehicle source of the target vehicle model, the demand index of the target vehicle model is updated to obtain a new demand index of the target vehicle model, and the vehicle search process based on the demand index of the target vehicle model is re-executed for the target vehicle model until the vehicle source found satisfies the vehicle search demand of at least one demanding vehicle dealer for the target vehicle model.

2. The method according to claim 1, characterized in that: The updating of the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model includes: Obtaining the allocation quantity and transaction quantity of the at least one vehicle source respectively by the at least one vehicle demanding dealer; Calculating the allocated quantity and the transaction quantity to obtain the virtual shortage number of the target vehicle model of the at least one demanding vehicle dealer; The demand index of the target vehicle model is updated in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model.

3. The method according to claim 2, characterized in that: The step of updating the demand index of the target vehicle model in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model includes: Calculating a ratio of the number of virtual vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer; Multiplying the total of the ratios by a first weight value to obtain a first product; Superimposing the first product and the second product to obtain a new demand index for the target vehicle model; The second product is a product obtained by multiplying the total number of the at least one demanding vehicle dealer by the second weight value.

4. The method according to claim 2, characterized in that: The method further comprises: Obtaining the transaction status of the target vehicle type; The step of updating the demand index of the target vehicle model in real time based on the virtual vehicle shortage number to obtain a new demand index of the target vehicle model includes: Based on the transaction status of the target vehicle model, the virtual number of vehicles missing of the target vehicle model is updated to obtain a new virtual number of vehicles missing of the target vehicle model; The demand index of the target vehicle model is updated in real time based on the new virtual vehicle shortage number of the target vehicle model to obtain a new demand index of the target vehicle model.

5. The method according to claim 1, characterized in that The new demand index of the target vehicle model includes: when the transaction status of the target vehicle model is to release a vehicle source, the new demand index of the target vehicle model is obtained by updating the demand index of the target vehicle model in real time; After updating the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model, the method further includes: When the transaction status of the target vehicle model by the at least one demanding vehicle dealer is vehicle source release, obtaining a new demand index of the target vehicle model; The obtained new demand index of the target vehicle model is superimposed and calculated to obtain a vehicle source demand matching score of the target vehicle model; Determining a vehicle source demand matching situation of the target vehicle model based on the vehicle source demand matching score of the target vehicle model; Among them, the vehicle source demand matching score of the target vehicle model is positively correlated with the vehicle source demand matching situation of the target vehicle model.

6. The method according to any one of claims 1 to 5, characterized in that: The step of determining the demand index of the target vehicle model based on the original vehicle source demand data includes: Determining at least one vehicle type in the vehicle source original demand data as a target vehicle type; The number of at least one demanding vehicle dealer in the original vehicle source demand data and the demand quantity of the target vehicle model by the at least one demanding vehicle dealer are calculated to obtain a demand index of the target vehicle model.

7. The method according to claim 6, characterized in that: The step of calculating the number of at least one demanding vehicle dealer in the original vehicle source demand data and the number of demands of the target vehicle model by the at least one demanding vehicle dealer to obtain the demand index of the target vehicle model includes: Calculating a first ratio of the number of vehicles out of stock and the number of vehicles required for the target vehicle model by the at least one demanding vehicle dealer; Multiplying the total of the first ratios by a first weight value to obtain a first product; Multiplying the total number of the at least one demanding car dealer by the second weight value to obtain a second product; The first product and the second product are superimposed to obtain a demand index for the target vehicle model.

8. A vehicle source finding device, characterized in that: The device comprises: An acquisition module is used to acquire original vehicle source demand data, wherein the original vehicle source demand data includes the demand quantity of at least one vehicle model by at least one demanding vehicle dealer; A demand index calculation module, used to determine a demand index of a target vehicle model based on the original vehicle source demand data, wherein the target vehicle model is any one of the at least one vehicle model, and the demand index is used to characterize the vehicle search demand of the at least one demand vehicle dealer for the target vehicle model; A vehicle search module, configured to perform vehicle search processing for the target vehicle model based on the demand index of the target vehicle model, so as to match and obtain at least one vehicle source of the target vehicle model; The vehicle search module is also used to update the demand index of the target vehicle model based on at least one vehicle source of the target vehicle model to obtain a new demand index of the target vehicle model, and to re-execute the vehicle search process for the target vehicle model based on the demand index of the target vehicle model until the found vehicle source meets the vehicle search demand of at least one demanding vehicle dealer for the target vehicle model.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the vehicle source search method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the vehicle source search method according to any one of claims 1 to 7 is implemented.

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