JP7236157B2 - AUTOMOBILE SALES SUPPORT SYSTEM, AUTOMOBILE SALES SUPPORT METHOD AND PROGRAM - Google Patents

Description

The present invention relates to an automobile sales support system, an automobile sales support method, and a program.

Sales support systems have been proposed and are beginning to be used to support sales activities and increase the likelihood of successful sales activities. For example, Patent Literature 1 discloses a customer management system that notifies a user of information such as the expiration date of vehicle inspections, dates of various inspections, and the like.

This customer management system stores customer information, determines the vehicle inspection expiry date of each customer, and prints or transmits various inspection dates such as the vehicle inspection expiry date.

JP 2019-46218 A

The notification of the vehicle inspection expiry date by this customer management system is intended only for existing customers. Therefore, although it can contribute to operational efficiency to some extent, it cannot contribute to increasing the number of customers. Also, this customer management system can contribute to sales of vehicle inspections, consumables, etc., but cannot contribute to sales of various products and services other than these. As a result, it cannot contribute to the expansion of business.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an automobile sales support system and an automobile sales support method that can contribute to the expansion of business.

In order to achieve the above object, the automobile sales support system according to the present invention includes:
attribute information acquisition means for acquiring a plurality of attribute information of a vehicle;
a rank value database that associates and stores a plurality of pieces of attribute information of automobiles with rank values that indicate the likelihood of success in sales activities related to automobiles;
Transmission means for searching the rank value database using the plurality of attribute information acquired by the attribute information acquisition means, acquiring a plurality of rank values, and transmitting advice information corresponding to a combination of the acquired plurality of rank values. and,
feedback means for receiving information indicative of the results of actual sales activities;
rank value updating means for updating the rank value registered in the rank value database based on the received information indicating the result of the sales activity;
Prepare.
Further, the automobile sales support system according to the present invention is
attribute information acquisition means for acquiring a plurality of attribute information of a vehicle;
a rank value database that associates and stores a plurality of pieces of attribute information of automobiles with rank values that indicate the likelihood of success in sales activities related to automobiles;
Transmission means for searching the rank value database using the plurality of attribute information acquired by the attribute information acquisition means, acquiring a plurality of rank values, and transmitting advice information corresponding to a combination of the acquired plurality of rank values. and,
rank value data generating means for generating rank value data to be stored in the rank value database;
with
The plurality of attribute information of the automobile includes at least model year and mileage,
The rank value data generation means processes the collected attribute information,
a means for obtaining the percentage of vehicles managed by the accessor by model year and the percentage by mileage;
Means for obtaining percentages by model year and percentages by mileage of vehicles in the society to which one belongs;
The ratio of the percentage of vehicles managed by the accessor by model year to the percentage of vehicles by model year in the society to which the accessor manages, and the ratio by mileage of the vehicles managed by the accessor and the mileage of the vehicle in the society to which the accessor manages a means for respectively determining a value of a ratio with another ratio;
Means for obtaining a rank value by model year and by mileage based on the obtained ratio value;
Prepare.
Further, the automobile sales support system according to the present invention is
attribute information acquisition means for acquiring a plurality of attribute information of a vehicle;
a rank value database that associates and stores a plurality of pieces of attribute information of automobiles with rank values that indicate the likelihood of success in sales activities related to automobiles;
Transmission means for searching the rank value database using the plurality of attribute information acquired by the attribute information acquisition means, acquiring a plurality of rank values, and transmitting advice information corresponding to a combination of the acquired plurality of rank values. and,
rank value data generating means for generating rank value data to be stored in the rank value database;
with
The plurality of attribute information of the automobile includes at least model year and mileage,
The rank value data generation means processes the collected attribute information,
a means for obtaining the percentage of vehicles managed by the accessor by model year and the percentage by mileage;
Means for obtaining percentages by model year and percentages by mileage of vehicles in the society to which one belongs;
The rate by model year, which is equivalent to the ratio of the ratio by model year of vehicles managed by the accessor and the ratio by model year of vehicles in the society to which the accessor belongs, and the ratio by mileage of the vehicles managed by the accessor A means for obtaining a mileage-specific ratio corresponding to a ratio of the ratio of vehicles by mileage in the society to which the vehicle belongs, and calculating the product of the calculated year-specific ratio and the mileage-specific ratio;
a means for converting the obtained product into a rank value and obtaining a matrix having the rank value as an element;
Prepare.

The attribute information obtaining means may obtain the attribute information of the automobile from the registration number of the automobile.

For example, the attribute information acquiring means may include license plate reading means for reading the registration number of the vehicle written on the license plate attached to the vehicle, and the registration number and the attribute information by using the read registration number. and means for acquiring attribute information from an attribute information database stored with the attribute information.

For example, the attribute information acquisition means reads coded attribute information from a document describing attribute information of an automobile.

The transmitting means, for example, transmits provisional advice information based on the attribute information acquired by the attribute information acquiring means, and the automobile sales support system is means for receiving attribute complement information that complements the missing attribute information. and wherein the transmission means transmits advice information based on the attribute information acquired by the attribute information acquisition means and the received attribute complementary information.

The car sales support system includes feedback means for receiving information indicating the results of sales activities actually performed, and rank values registered in the rank value database based on the received information indicating the results of the sales activities. and rank value updating means for updating the.

The sales activities include, for example, two or more of sales of new cars, sales of used cars, parts replacement, sales of consumables, sales of car inspections, and sales of inspections.

The plurality of pieces of attribute information of the automobile include, for example, two or more of an engine displacement value, model year, mileage, and remaining period until vehicle inspection expiration date.

The rank value data stored in the rank value database is generated, for example, by processing attribute information of vehicles managed by a person who has shown an interest in changing cars.

The car sales support system includes distribution means for distributing information on changing cars via a communication network, and vehicle attributes managed by a person who has accessed the distribution means via a terminal device that has accessed the distribution means. attribute information collecting means for collecting information , wherein the rank value data generating means processes the attribute information collected by the attribute information collecting means to generate rank value data to be stored in the rank value database. may

The distribution means provides, for example, as information on transfer, information including any of automobile sales information, automobile lease information, and transfer reference information via a network, and the attribute information collection means acquires the attribute information by receiving a response, for example.

In addition, the automobile sales support system according to the present invention includes distribution means for distributing information on changing cars via a communication network, Attribute information collecting means for collecting attribute information of vehicles to be managed, and rank value data for processing the attribute information collected by the attribute information collecting means to generate rank value data indicating the possibility of success in sales activities related to automobiles. generating means, wherein the attribute information includes at least model year and mileage, and the rank value data generating means processes the collected attribute information to generate the model year of the vehicle managed by the accessor. A means to obtain a different percentage and a percentage by mileage, a means to acquire the percentage by model year and the percentage by mileage of the vehicle in the society to which the accessor belongs, and the percentage by model year and the affiliation of the vehicle managed by the accessor a means for calculating the ratio of the proportion of vehicles by year and model in society, and the ratio of the proportion of vehicles managed by the accessor by mileage and the proportion of vehicles by mileage in the society to which the accessor belongs; and means for determining rank values by model year and by mileage based on the determined ratio values .

Further, the automobile sales support method according to the present invention is a method executed by a computer, in which a plurality of pieces of attribute information of automobiles and rank values indicating the possibility of success of sales activities are stored in association with each other, Obtain multiple attribute information of a vehicle, display advice information on sales activities based on a combination of multiple rank values corresponding to the obtained attribute information, support sales activities , and obtain results of actual sales activities and updates the rank value stored in association with the plurality of attribute information of the automobile based on the received information indicating the result of the sales activity.

Further, an automobile sales support method according to the present invention is a computer-executed method in which attribute information of a vehicle managed by a person who has made an access to receive information on changing automobiles is collected, and the collected attribute information is collected. is processed to generate rank value data indicating a rank of the probability of success in sales activities related to automobiles, wherein the attribute information includes the model year and driving In the rank value data generation step, the collected attribute information is processed to obtain the percentage of vehicles managed by the accessor by model year and by mileage, and the number of vehicles in the society to which the accessor belongs. Acquire the ratio by model year and the ratio by mileage, and the value of the ratio of the ratio by model year of the vehicles managed by the accessor and the ratio by model year of the vehicles in the society to which the accessor manages Calculate the ratio of the ratio of vehicles by mileage and the ratio of the ratio of vehicles by mileage in the society to which you belong, and calculate the rank value by model year and mileage based on the calculated ratio. .

Further, the program according to the present invention comprises the step of: storing in a computer, a plurality of attribute information of a vehicle and a plurality of rank values indicating the possibility of success of sales activities relating to the vehicle in association with each other; By obtaining a combination of rank values corresponding to a plurality of attribute information and displaying advice information corresponding to the obtained combination of rank values, the step of supporting sales activities and the results of sales activities actually performed are displayed. and updating a rank value stored in association with a plurality of attribute information of the automobile based on the received information indicating the result of the sales activity.

Further, the program according to the present invention includes a step of collecting attribute information of a vehicle managed by a person who has accessed the computer to receive information about changing vehicles, processing the collected attribute information, a rank value data generating step of generating rank value data indicating a rank of the probability of success of the sales activity , wherein the attribute information includes at least model year and mileage, and the rank value data generating step In the step, the collected attribute information is processed to obtain the percentage of vehicles managed by the accessor by model year and mileage, and the percentage of vehicles by model year and mileage in the society to which the visitor belongs. Acquired, the ratio of the percentage of vehicles managed by the accessor by model year to the percentage of vehicles by model year in the society to which the accessor manages, the ratio of the vehicles managed by the accessor by mileage and the vehicles in the society to which the accessor manages Then, based on the obtained ratio values, rank values for each model year and mileage are obtained.

According to the car sales support system and method configured as described above, attribute information of a car is acquired, a rank value database is searched using this attribute information, a plurality of rank values are acquired, and a plurality of acquired rank values are obtained. Send advice information corresponding to the combination. By referring to this advice information, it is possible to increase the possibility of success in sales activities and contribute to the expansion of the scope of business.

1 is a configuration diagram of an automobile sales support system according to an embodiment of the present invention; FIG. 2 is a functional configuration diagram of the sales support device shown in FIG. 1; FIG. 2 is a hardware configuration diagram of a computer that constitutes the sales support device shown in FIG. 1; FIG. 3 is a diagram illustrating a schematic configuration of a rank value table stored in a rank value DB shown in FIG. 2; FIG. 5 is a diagram illustrating a detailed configuration of information stored in each entry of the rank value table shown in FIG. 4; FIG. FIG. 10 is a diagram exemplifying a correspondence between a combination of three rank values in the advice information DB of the sales support device and advice on sales activity policy from the sales person to the owner; 2 is a diagram illustrating attribute information stored in an attribute information DB shown in FIG. 1; FIG. 2 is a flowchart of number reading processing executed by the license plate reading device shown in FIG. 1; 3 is a flowchart of attribute information acquisition processing executed by an attribute information search unit shown in FIG. 2; 2 is a flowchart of attribute information search processing executed by an attribute information DB shown in FIG. 1; FIG. 3 is a flowchart of travel distance estimation processing executed by a travel distance estimation unit shown in FIG. 2; FIG. 3 is a flowchart of rank value search processing executed by a rank value search unit shown in FIG. 2; 3 is a flowchart of advice information search processing executed by an advice information selection unit shown in FIG. 2; 3 is a flowchart of rank value DB update processing executed by a rank value update unit shown in FIG. 2; It is a figure which shows the example of the table which matches a license plate reader and a salesperson. 3A and 3B are diagrams each showing a modification of the rank value DB shown in FIG. 2; FIG. (A) In Embodiment 2, it is a figure which shows an example of the information stored in attribute information DB, and (B) the example of the information stored in attribute information DB supplemented with attribute complement information. (A) A diagram showing an example of advice transmitted to a sales terminal device in Embodiment 2, (B) A diagram showing an example of an attribute information input screen for inputting attribute information to be complemented. FIG. 11 is a hardware configuration diagram showing a configuration example of a maintenance terminal device according to Embodiment 4; FIG. 12 is a configuration diagram of an automobile sales support system according to Embodiment 5; 21 is a configuration diagram of the lease contract device shown in FIG. 20; FIG. 4 is a flowchart of rank value data generation processing executed by the lease contract device; 23 is a diagram showing a model year-mileage table T1, a model year ratio table T2, and a mileage ratio table T3 used in the rank value data generation process shown in FIG. 22; FIG. FIG. 23 is a table exemplifying nationwide data used in the rank value data generation process shown in FIG. 22, (A) is a table of registration numbers by model year T4, and (B) is a diagram showing a table of registration numbers by mileage T5. . FIG. 23 is a diagram showing a model-year rank value table T6 used in the rank value data generation process shown in FIG. 22; FIG. 23 is a diagram showing a mileage-specific rank value table T7 used in the rank value data generation process shown in FIG. 22; FIG. 16 is a flowchart of rank value data generation processing according to a modification of the fifth embodiment; FIG. 28A is a diagram exemplifying a magnification matrix generated in the rank value data generation process shown in FIG. 27, and FIG. 28B is a diagram in which rank values are substituted for magnifications; FIG. It is a figure which shows the editing example of a rank value table, (A) shows an original, (B) shows after editing.

DETAILED DESCRIPTION OF THE INVENTION A vehicle sales support system and a vehicle sales support method according to embodiments of the present invention will be described in detail below with reference to the drawings. In the embodiments, the same reference numerals are given to the same components.

(Embodiment 1)
The automobile sales support system 1 according to the present embodiment automatically reads the license plate of the vehicle at a business location such as a gas station where an unspecified number of vehicles enter, and based on the read number, the exhaust gas of the vehicle Identify attribute information such as quantity, mileage, remaining period of vehicle inspection, model year, etc. Based on the identified attribute information, identify the sales content with a high probability of success for the owner of the vehicle, and wait at the sales location. It is a system that notifies sales personnel who are

As shown in FIG. 1, an automobile sales support system 1 comprises a license plate reading device 2, a sales support device 3, and a sales terminal device 4, which are interconnected via a communication network 100. FIG. Also, an attribute information database (database; DB) 110 is connected to the communication network 100 as an external device. The maintenance terminal device 5 has a configuration used in the fourth embodiment.

The license plate reader 2 is installed in a facility such as a gas station, a parking lot of a shopping center, an automobile maintenance shop, etc., where an unspecified number of automobiles 50 enter, in a place suitable for photographing the license plate 52 of the entering automobile 50. be. The license plate reader 2 includes a camera 20 that captures an image of the license plate 52 of an approaching automobile 50, and character recognition that recognizes the registration number by character recognition of the captured image, as schematically shown by an arrow 24. A device 21 and a transmission device 22 for transmitting the identified registration number to the sales support device 3 . The license plate reader 2 reads the registration number written on the license plate attached to the automobile, and is an example of the license plate reader in the claims.

The license plate 52 of the automobile 50 displays the registration number of the automobile 50 . The registration number of the automobile 50 includes character information such as "Shinagawa" indicating the transportation branch office that has jurisdiction over the automobile 50, character information such as "sa" indicating whether it is a private car or a rental car, and whether it is an ordinary car or a small car. It includes numerical information such as "500" indicating whether it is an automobile and serial number information such as "23-45", and uniquely identifies the automobile 50. FIG. The license plate reader 2 reads this serial number information and uniquely identifies the automobile 50 .

The sales terminal device 4 is composed of, for example, a smart phone and a tablet terminal. The sales terminal device 4 receives advice on sales activities for the owner 54 of the automobile 50 sent from the sales support device 3 and presents it to the sales person 40 to support the sales activities. In addition, the sales terminal device 4 receives an input operation for inputting the result of the sales activity performed by the sales person 40, that is, the content of the purchase action taken by the owner 54 of the automobile 50, and the content of this purchase action. is fed back to the sales support device 3.

The sales activities conducted by the sales person 40 to the owner 54 include a proposal for replacement to a new car, a proposal for replacement to a used car, guidance on vehicle inspection, replacement of parts for the vehicle 50, sale of consumables for the vehicle 50, and car washing. proposals, proposals for inspection of each portion of the automobile 50, and the like. Priority is set for sales activities, and in the present embodiment, the highest priority is set for a proposal to purchase a new car.

The sales support device 3 identifies attribute information of a plurality of attributes such as displacement, mileage, model year, vehicle inspection remaining period, etc. of the automobile 50, generates advice based on the combination of attribute information, and sells the sales terminal device 4. It is a device that transmits to As shown in FIG. 2, the sales support device 3 includes an attribute information search unit 300, a rank value search unit 302, a travel distance estimation unit 304, a rank value DB 306, an advice information selection unit 320, an advice information DB 322, and an advice information transmission unit 324. , a feedback unit 340 and a rank value updating unit 342 .

The attribute information search unit 300 uses the registration number of the vehicle 50 transmitted from the license plate reader 2 to request the attribute information DB 110 to retrieve the attribute information of the vehicle specified by the registration number. The attribute information search unit 300 receives the attribute information of the automobile 50 returned from the attribute information DB 110 in response to the request, specifically, the information indicating the engine displacement, model year, mileage, and remaining period of vehicle inspection. Output to the search unit 302 . In addition, the attribute information search unit 300 notifies the travel distance estimation unit 304 of the timing of the past vehicle inspection of the automobile 50 and the travel distance at that time, which are transmitted from the attribute information DB 110 .

The rank value DB 306 is a DB that stores an index (hereinafter referred to as rank value) indicating the probability that a new car can be sold through sales activities for each combination of attribute information, and is an example of a rank value database in the claims.

Specifically, as shown in FIG. 4, in the rank value DB 306, among the attribute information, the engine displacement of automobiles is classified into three stages: less than 1000cc, 1000cc or more and less than 2000cc, and 2000cc or more.

Among the attribute information, the years before 1999, 2000-2005, 2006-2009, 2010-2012, 2013-2015, 2016-2017, 2018, and 8 divided into stages.

In addition, the mileage is divided into six stages: less than 10,000 km, 10,000 km to less than 20,000 km, 20,000 km to less than 40,000 km, 40,000 km to less than 60,000 km, 60,000 km to less than 80,000 km, and 80,000 km or more. are divided.

In addition, the remaining period for vehicle inspection among the attribute information is less than 1 month, 1 month to less than 3 months, 3 months to less than 6 months, 6 months to less than 12 months, 12 months to less than 24 months. , 24 months or more and less than 36 months, and 36 months or more.

The rank value DB 306 conducts sales of replacement purchases of new or used cars to owners of automobiles having attribute information for each combination of engine displacement and model year, engine displacement and mileage, engine displacement and vehicle inspection remaining period. A performance value, that is, the probability that a new car or a used car can be sold is indicated by one of ranks A, B, or C. Note that A indicates a high rank with a high probability of sales success, and C indicates a low rank with a low probability of sales success. B indicates middle rank between high rank and low rank.

FIG. 5 shows the details of the rank value R stored in each entry in the table of the rank value DB 306 of the sales support device 3. As shown in FIG. As shown in FIG. 5, in each entry storing the rank value R, in addition to the index values A, B, and C indicating the rank value R, the sales volume of the vehicle corresponding to the entry due to replacement purchase is also stored as reference information. n and the total number of sales N.

The rank value R is determined, for example, by comparing sales success rate=sales volume n/sales total number N with the first threshold TH1 and the second threshold TH2. The first threshold TH1 and the second threshold TH2 have a relationship of first threshold TH1>second threshold TH2. Rank value A when sales success rate n/N≧first threshold TH1, rank value B when first threshold TH1>sales success rate n/N≧second threshold TH2, second threshold TH2>sales success A rank value of C is set when the rate is n/N.

The reasons why the rank value R differs according to the combination of attributes are as follows, for example.

In general, when the model year is new, problems such as failures are less likely to occur, the possibility of replacement is low, and the rank value R is low. and the rank value R becomes higher.

In general, when the mileage of the automobile is short, problems such as breakdowns are unlikely to occur, the possibility of replacement is low, and the rank value R is low. On the other hand, when the mileage reaches a certain distance, problems begin to occur, and if the owner of the car at this time is promoted to buy a replacement, the probability of sales success will increase slightly, and the rank value R will rise. As the mileage increases, the number of cases of failures such as breakdowns increases.

Also, in general, for example, when the remaining period until the next vehicle inspection is sufficiently long, the demand for replacement is low, and the rank value R is low. On the other hand, the shorter the remaining period, the higher the demand for replacement purchases. Therefore, as the remaining period becomes shorter, the probability of sales success slightly increases and the rank value R becomes higher.

However, due to various conditions and backgrounds, scenes different from the above tendencies occur. Note that FIG. 4 is for explaining the invention, and there are portions that differ from actual trends.

As described above, the initial data of the rank value table registered in the rank value DB 306 is, for example, a collection of questionnaires to users who express their intentions, interests, concerns, etc. for purchasing a new vehicle, buying a new vehicle, or changing a vehicle. It is formed by analyzing this. For example, the questionnaire is administered to car dealers, used car dealers, gas station visitors, used auction participants, car lease users, car sharing users, drive club members, and the like. The intention or interest may be limited to those who show a strong intention to purchase or change trains, but in order to expand, it is desirable to broadly target those who have shown some degree of interest. Details of the method for creating the initial data of the rank value DB 306 will be described later in the fifth embodiment.

Also, the rank value DB 306 is sequentially updated according to the results of sales activities using the automobile sales support system 1 . The update method will be described later.

The advice information DB 322 of the sales support device 3 shown in FIG. 2, as illustrated in FIG. 6, includes 27 types of combinations of rank values, that is, (rank values for combinations of engine displacement and model year, engine displacement and mileage Rank value for combination, rank value for combination of engine displacement and vehicle inspection remaining period), (A, A, A), (A, A, B) ~ (C, C, C) from sales representative 40 Twenty-seven kinds of advice information ADI ₁ to ADI ₂₇ regarding the policy of sales activities to be carried out to the vehicle owner 54 are associated and stored.

The creation of the advice information ADI ₁ to ADI ₂₇ , the combination of the 27 types of rank information, and the association of the advice information ADI ₁ to ADI ₂₇ with the advice information ADI 1 to ADI 27 are performed, for example, under the guidance of an experienced expert, or in the rank value DB 306. , the sales activity performance information, and the information registered in the advice information DB 322 are statistically processed. Note that when any one of the advice information ADI ₁ to ADI ₂₇ is indicated without specifying it, the numerals are omitted and it is described as advice information ADI.

Each piece of advice is, for example, based on the guidance of an expert, what kind of response should be taken and what kind of steps should be taken to proceed. As a result, it is desirable to create a stable sales that does not depend on the experience and skill of the salesperson 40 and eliminates the dependence on individual skills to some extent.

A specific example will be given for explanation. The engine displacement is categorized as 1,000cc or more and less than 2,000cc, the model year is categorized as 2010 or more and less than 2012, the mileage is categorized as 60,000km or more and less than 80,000km, and the vehicle inspection period is 3. Assume that it is classified as more than 6 months and less than 6 months. The combination of the three rank values for this car is (A, B, A).

A model year rank value of A indicates that there is a high possibility of success in replacement sales activities. On the other hand, a rank value of B for the mileage indicates that the possibility of success in replacement sales activities is medium. Also, a rank value of A for the remaining period of vehicle inspection indicates that there is a high possibility of success in sales activities for replacement purchases.

Based on these facts, we will create a message that includes advice to the effect that it is more efficient to actively engage in sales activities at the present timing, centering on sales of new car sales related to year and model, with sales related to mileage as subordinates.

Other combinations (A, A, A), (A, B, B) to (C, C, C) of other rank values are associated with advice information ADI, for example, based on the same concept.

The rank value search unit 302, the advice information selection unit 320, and the advice information DB 322 cooperate to search the rank value DB 306 using a plurality of pieces of attribute information, acquire a plurality of rank values, and obtain a plurality of acquired rank values. Advice information for sales activities is selected based on a combination of rank values, and is an example of advice information selection means in the claims.

The mileage estimation unit 304 of the sales support device 3 shown in FIG. 2 estimates the estimated value of the current mileage of the automobile 50 by an interpolation method or the like. More specifically, the travel distance estimation unit 304 is provided with the date and time of the past vehicle inspection of the automobile 50 and the travel distance at that time from the attribute information search unit 300 . The mileage estimation unit 304 estimates the current mileage L′ of the vehicle 50 based on the mileage of the vehicle 50 at the time of the last vehicle inspection and the elapsed time since the last vehicle inspection, and calculates the rank value The search unit 302 is notified. For example, the travel distance estimating unit 304 calculates the current travel distance estimate L′ as the travel distance L at the time of the last vehicle inspection, the travel distance l between the last vehicle inspection and the previous vehicle inspection, From the period T between the last vehicle inspection and the previous vehicle inspection and the period t from the last vehicle inspection date to the calculation date, for example, the formula (1) is used to calculate.
L′=L+t×(l/T) (1)

The license plate reading device 2, the attribute information search unit 300, and the travel distance estimation unit 304 work together to acquire attribute information for searching the rank value, which is an example of attribute information acquisition means in the claims. is.

The rank value search unit 302 receives the attribute information of the automobile 50 supplied from the attribute information search unit 300, such as the engine displacement, the remaining period of vehicle inspection, and the model year, and the estimated value L′ of the travel distance input from the travel distance estimation unit 304. and to search the rank value DB 306 .

As a result of this search, the rank value search unit 302 obtains a combination of three rank values R of the automobile 50 whose license plate 52 is photographed by the license plate reader 2 . The rank value search section 302 outputs the obtained combination of the three rank values R to the advice information selection section 320 .

The advice information selection section 320 searches the advice information DB 322 using a combination of the three rank values R input from the rank value search section 302 . The advice information selection unit 320 acquires any one of the advice information ADI ₁ to ADI ₂₇ corresponding to the combination of the three rank values R obtained as a search result.

The advice information transmission unit 324 transmits the advice information ADI thus acquired to the sales terminal device 4 via the communication network 100 . The advice information transmission unit 324 is an example of advice information transmission means in the claims.

On the other hand, the feedback unit 340 receives from the sales terminal device 4 the result of the sales activity conducted by the salesperson 40 to the owner 54, that is, the data indicating whether or not the owner 54 has purchased a replacement. Feedback section 340 outputs the received information to rank value updating section 342 . The feedback section 340 receives information indicating the results of sales activities actually performed, and is an example of feedback means in the claims.

The rank value updating unit 342 updates the rank value DB 306 according to the details of the purchase behavior input from the feedback unit 340 . The rank value update unit 342 updates rank values registered in the rank value DB 306 based on information indicating the results of sales activities, and is an example of rank value update means in the claims.

A specific example will be given for explanation. Engine displacement is categorized as 1000cc or more and less than 2000cc, model year is categorized as 2010 or more and less than 2012, mileage is categorized as 20000km or more and less than 4000km, remaining vehicle inspection period is categorized as 24 months or more and less than 36 months. Suppose that the owner 54 of the car 50 in the car 50 is sold for replacement and the sale is successful.

In this case, the rank value updating unit 342 increments the number of units sold n and the total sales number N of the entry identified by the engine displacement of 1000 cc or more and less than 2000 cc and the model year of 2010 or more and less than 2012 by +1. Next, the rank value R is obtained by comparing n/N with the first threshold TH1 and the second threshold TH2, and if different from the previous rank value R, the rank value R is updated.

In addition, the rank value updating unit 342 increments the number of vehicles sold n and the total number of sales N by +1 for each of the entries specified by the engine displacement of 1000 cc or more and less than 2000 cc and the mileage of 20000 km or more and less than 40000 km. Next, the rank value R is obtained by comparing n/N with the first threshold TH1 and the second threshold TH2, and if different from the previous rank value R, the rank value R is updated.

In addition, the rank value updating unit 342 increments the number of units sold n and the total sales number N by +1 for each of the entries specified by the engine displacement of 1000 cc or more and less than 2000 cc and the remaining vehicle inspection period of 24 months or more and less than 36 months. Next, the rank value R is obtained by comparing n/N with the first threshold TH1 and the second threshold TH2, and if different from the previous rank value R, the rank value R is updated.

In a similar case, let us assume that the sale was not successful.
In this case, the rank value updating unit 342 increments the total sales number N of the entry identified by the displacement of 1000 cc or more and less than 2000 cc and the model year 2010 to 2012 by +1. Next, the rank value R is obtained by comparing n/N with the first threshold TH1 and the second threshold TH2, and if different from the previous rank value R, the rank value R is updated.

In addition, the rank value updating unit 342 maintains the sales volume n of the entry specified by the engine displacement of 1000 cc or more and less than 2000 cc and the mileage of 20000 km or more and less than 40000 km, and increments the sales total number N by +1. Next, the rank value R is obtained by comparing n/N with the first threshold TH1 and the second threshold TH2, and if different from the previous rank value R, the rank value R is updated.

In addition, the rank value updating unit 342 increments the total sales number N of entries identified by a displacement of 1000 cc or more and less than 2000 cc and a vehicle inspection remaining period of 24 months or more and less than 36 months by +1. Next, the rank value R is obtained by comparing n/N with the first threshold TH1 and the second threshold TH2, and if different from the previous rank value R, the rank value R is updated.

The attribute information DB 110 shown in FIG. 1, as exemplified in FIG. 7, has a chassis number, owner's name, owner's address, . . . , vehicle engine displacement, vehicle year, vehicle inspection history (vehicle inspection due date, vehicle inspection date, mileage at vehicle inspection, vehicle inspection cost, etc.). The attribute information DB 110 retrieves and reads corresponding attribute information in response to a search request with a registration number from the attribute information search unit 300 , and transmits it to the attribute information search unit 300 . The attribute information DB 110 is installed, for example, by companies, industry groups, and the like. Basic data is registered in the attribute information DB 110 when a vehicle is registered, and information regarding the distance between vehicles and the due date of the next vehicle inspection are set when a vehicle inspection is performed.

The sales support device 3 shown in FIG. 2 is composed of a computer. In terms of hardware, for example, as shown in FIG. Access Memory) 353 , an auxiliary storage device 354 , and a communication I/F (interface) 355 . These units are electrically connected to each other via a bus BL.

The CPU 351 controls the sales support apparatus 3 as a whole by deploying programs stored in the ROM 352 and the auxiliary storage device 354 in the RAM 353 and executing the programs.

The ROM 352 is a non-volatile memory that stores basic programs executed by the CPU 351, fixed data, and the like. A RAM 353 is used as a work area for the CPU 351 .

The auxiliary storage device 354 is composed of a large-capacity, non-volatile storage device whose storage contents are rewritable. Auxiliary storage device 354 stores a program for CPU 351 to execute each process described later.

Communication I/F 355 communicates with license plate reader 2 , sales terminal device 4 , and attribute information DB 110 via communication network 100 .

The communication network 100 shown in FIG. 1 is, for example, the Internet, a mobile phone communication line, a LAN (Local Area Network), a VPN (Virtual Private Network), or a communication cable, or a combination of two or more of these. The components of the sales support system 1 are connected for data communication.

Next, the operation of the automobile sales support system 1 having the above configuration will be described with reference to the flow charts of FIGS. 8 to 14. FIG.

First, it is assumed that the automobile 50 enters a gas station where the license plate reader 2 is installed for refueling.

The license plate reading device 2 detects the entrance of the automobile 50 and starts the number reading process shown in FIG. The captured image is subjected to character recognition processing to identify the registration number (step S12). The transmitting device 22 transmits the ID of the license plate reading device 2 and the identified registration number to the sales support device 3 via the communication network 100 (step S13).

The attribute information search unit 300 of the sales support device 3 receives the ID and registration number transmitted from the license plate reader 2 . In response to this reception, the attribute information search unit 300 starts the attribute information acquisition process shown in FIG. 9, attaches the received registration number, and requests the attribute information DB 110 to search (step S21).

The attribute information DB 110 responds to the search request from the attribute information search unit 30, starts the attribute information search process shown in FIG. 10, and reads the attribute information stored in association with the received registration number (step S31), and transmits to the attribute information search unit 300 (step S32).

The attribute information search unit 300 receives attribute information from the attribute information DB 110 in step S22 of FIG.
Among the attribute information received from the attribute information DB 110, the attribute information search unit 300 transmits the date of the vehicle inspection in the past and information on the mileage at that time to the mileage estimation unit 304 (step S23).

Also, the attribute information search unit 300 provides the rank value search unit 302 with the engine displacement, model year information, and vehicle inspection information of the automobile 50 among the attribute information received from the attribute information DB 110 (step S24).

On the other hand, when the traveled distance estimation unit 304 receives the information of the traveled distance at the time of the past vehicle inspection from the attribute information search unit 300, the traveled distance estimation unit 304 starts the traveled distance estimation process shown in FIG.
When the mileage estimation unit 304 starts the mileage estimation process, the current mileage is calculated using the past vehicle inspection date, the information on the mileage at that time, and the date of the current day. , is estimated by using the above-mentioned (1), etc., by an interpolation method (step S41). For example, the period T from the previous vehicle inspection to the previous vehicle inspection is one year, l = 10,000 km during that time, the mileage L at the time of the previous vehicle inspection was 25,000 km, and t = Assume that 6 months (0.5 years) have passed. In this case, the current mileage is estimated as L′=L+t×(l/T)=25,000+0.5*(10,000/1)=30,000 km. The travel distance estimation unit 304 transmits the estimated travel distance to the rank value search unit 302 (step S42).

When the rank value searching unit 302 receives the current mileage from the mileage estimating unit 304 and receives the engine displacement, model year information, and vehicle inspection information from the attribute information searching unit 300, the rank value searching unit 302 performs the rank searching process shown in FIG. Start.

When starting the rank search process, the rank value search unit 302 searches the rank value DB 306 illustrated in FIG. 4, and first identifies the rank value R corresponding to the combination of engine displacement and model year (step S51).

Next, the rank value search unit 302 searches the rank value DB 306 to identify the rank value R corresponding to the combination of the engine displacement and the current mileage (step S52).

Next, the rank value search unit 302 searches the rank value DB 306, and calculates the remaining period of vehicle inspection based on the difference between the current date and the vehicle inspection expiration date (step S53).

The rank value search unit 302 searches the rank value DB 306 to specify the rank value R corresponding to the combination of the engine displacement and the vehicle inspection remaining period (step S54).

The rank value search unit 302 finds a combination of the three rank values obtained by the search, that is, one of (AAA) to (CCC), and transmits it to the advice information selection unit 320 (step S55).

When the advice information selection unit 320 receives a combination of rank values from the rank value search unit 302, the advice information selection unit 320 starts the advice information search process shown in FIG.

When starting the advice information search process, the advice information selection unit 320 first searches the advice information DB 322 using a combination of rank values as a key, selects any one of the advice information ADI ₁ to ADI ₂₇ (step S61), It is transmitted to the advice information transmitting section 324 (step S62).

The advice information selection section 320 may further create additional advice based on the attribute information and transmit it to the advice information transmission section 324 . For example, it determines whether or not the cost of the previous vehicle inspection is higher than the standard, and since the vehicle inspection cost will be higher, from the perspective of the total cost, advice to recommend replacement purchases, and the agency that performed the previous vehicle inspection It is also possible to determine whether it is your own company or another company, and in the case of another company, create an additional message including your company's advantages. You may also include your company's advertisements and campaigns in the advice.

Also, the attribute information search unit 300 transmits a set of information received from the attribute information DB 110 to the advice information transmission unit 324 .

The advice information transmission unit 324 transmits a message including the received attribute information, the selected advice information ADI, and additional advice (if any) to the sales terminal device 4 .

If there are a plurality of license plate reading devices 2 and sales terminal devices 4, the number is transmitted to the sales terminal device 4 of the sales person standing by near the license plate reading device 2 that read the number. For this purpose, for example, as exemplified in FIG. It is better to correspond. The advice information transmission unit 324 identifies an address corresponding to the received license plate reader ID, and transmits a message including advice information to that address.

The sales terminal device 4 displays the message including the attribute information and the advice information ADI from the sales support device 3 and shows it to the salesperson 40 . The message may be converted into voice by text/speech conversion, and may be delivered to the salesperson by voice through speakers, earphones, or the like.

The salesperson 40 conducts sales activities to the owner 54 of the automobile 50 with reference to the displayed message. The message is designed so that the salesperson 40's individuality can be eliminated. Therefore, by referring to the message, it is possible to suppress variations in the sales skills of the salesperson 40, and to conduct sales activities that eliminate individuality to some extent.

The salesperson 40, for example, is on standby near a gas station where the license plate reader 2 is installed, and obtains the above-mentioned advice information almost at the same time as the car 50 enters the gas station, so that the owner of the car 50 can Precise sales activities can be started at 54.

The salesperson 40 refers to the advice and conducts sales activities centered on replacement purchases, and various products and services such as sales of new or used cars, vehicle inspections, parts, consumables, accessories, car washes, and insurance. Conduct sales activities such as sales of A business target owner 54 purchases a new car or a used car, or purchases vehicle inspection, parts, consumables, accessories, car wash, insurance, etc. according to business activities. In some cases, owner 54 does not purchase some or all goods or services. The salesperson 40 inputs information indicating such sales results (hereinafter referred to as report information) to the sales terminal device 4 at an appropriate timing.

Report information is not limited to information indicating goods or services that could be sold through sales activities, objective information indicating goods or services that were not It may include objective information and subjective information, such as information indicating products or services that show interest, information on owner 54's reaction, hobbies, personality, family/relative composition, etc. obtained through sales activities. .

The sales terminal device 4 transmits the report information input by the sales person 40 to the sales support device 3 . The feedback unit 340 of the sales support device 3 receives the report information from the sales terminal device 4 and outputs it to the rank value updating unit 342 . The rank value update unit 342 receives the report information and starts the rank value DB update process shown in FIG. (Step S71). Next, the rank value updating unit 342 recalculates the corresponding rank value R based on the actual sales information included in the report information (step S72). For example, based on the information on the actual sales of new or used cars, the number n of new or used cars sold is incremented by 1 if the sale is successful, and incremented by 0 if the sale is unsuccessful. Also, +1 is added to the total sales number N. Next, a new rank value R is calculated by obtaining the sales success ratio n/N and comparing it with the first threshold TH1 and the second threshold TH2. The rank value updating unit 342 determines whether or not the rank value R has been changed (step S73), and if there is a change, updates the rank value DB 306 with the changed rank value R (step S74). .

The advice information selection section 320 may extract information corresponding to the registration number from among the report information accumulated in the report accumulation area of the auxiliary storage device 354 and include it in the message. As a result, the salesperson 40 can obtain word-of-mouth information based on the past sales results for the vehicle with the registration number or its owner 54, and use the information as a reference for the current sales activities.

Thus, according to the automobile sales support system 1 and the automobile sales support method, it is possible to advise the sales person 40 what kind of sales activities are effective as sales activities for the owner 54 . The sales person 40 can carry out efficient sales to an unspecified number of owners 54 by referring to the advice information. Therefore, it can contribute to the expansion of business. An object of the present invention is to provide a car sales support system and a car sales support method that are possible. Furthermore, parameters for selecting advice information are objective parameters such as engine displacement, model year, mileage, and vehicle inspection remaining period, so that a system and method that are less dependent on individual skills can be realized.

In addition, this invention is not limited to the said embodiment.
For example, FIG. 1 shows an example in which the license plate reader 2 is fixed at a predetermined location. However, instead of this, the license plate reading device 2 may be of a portable type and carried by the salesperson 40 . Also, the sales terminal device 4 may be of an installation type and fixed at a predetermined position.

Also, in order to obtain the rank value R, four pieces of attribute information are used, and the displacement is divided into three stages, the model year is divided into eight stages, the mileage is divided into six stages, and the vehicle inspection remaining period is divided into seven stages. However, the method of dividing each attribute information of the automobile 50 is arbitrary, and even if the attribute information of the automobile 50 is divided into more stages than these stages, it is divided into less stages good too.

For example, in FIG. 4, the rank value may be set for the model year and mileage regardless of displacement.
Also, for example, the attribute information for obtaining the rank value R may be of two or more types. For example, FIG. 16A shows an example of obtaining a combination of two rank values from two attributes of model year and mileage. Similarly, for example, the rank value may be determined based on only two attributes, model year and vehicle inspection remaining period.

Also, other arbitrary attributes may be added in addition to the four attributes described above.
For example, FIG. 16(B) shows an example of obtaining a combination of four rank values from six attribute information: model year, mileage, engine displacement, remaining vehicle inspection period, distinction between private car and commercial vehicle, and cost of previous vehicle inspection. . In addition, arbitrary attributes such as vehicle type, owner's age group, and owner's income can be used. Also, FIGS. 16A and 16B show an example in which the rank value R is set to six levels A to F, which are more than three levels.

FIG. 6 shows an example of association between a combination of three rank values and advice information ADI. You may correspond with the combination of R.
In addition, although the owner of the vehicle has been exemplified, the same applies to persons who manage and operate the vehicle, such as vehicle users, operators, and managers. These are sometimes collectively referred to simply as administrators. It may also be called a vehicle to be managed. The same applies to the following description.

(Embodiment 2)
In Embodiment 1, the attribute information DB 110 shows an example of storing all necessary attribute information. However, some information may be missing, for example, as illustrated in FIG. 17(A). In FIG. 17A, information such as the owner's name, address, mileage at the time of vehicle inspection, vehicle inspection cost, etc. is missing.

In such a case, the rank value search unit 302 may estimate the missing attribute information and select advice information based on the estimated attribute information. An example of processing when such partial attribute information is missing will be described below.

To facilitate understanding, for example, as shown in FIG. 17A, the attribute information DB 110 does not store the name and address of the vehicle owner, the mileage at the time of vehicle inspection, and the vehicle inspection cost. In this case, the attribute information search unit 300 transmits to the mileage estimation unit 304 the model year information acquired from the attribute information DB 110 and a message indicating that the mileage information could not be acquired. The mileage estimating unit 404 substitutes the model year I obtained by searching into the relational expression L=f(I) between the mileage L and the model year I, which is preset based on empirical rules, to estimate the mileage. A value L′ is predicted and notified to the rank value search unit 302 .

The rank value search unit 302 searches the rank value DB 306 based on the model year obtained from the attribute information DB 110, the estimated mileage, and the vehicle inspection remaining period obtained by calculation from the vehicle inspection expiration date obtained from the attribute information DB 110. Search and obtain the rank value R. The advice information selection section 320 searches the advice information DB 322 based on the obtained rank value R, selects advice information, and transmits the advice information from the advice information transmission section 324 to the sales terminal device 4 . At this time, as exemplified in FIG. 18A, a message is included to the effect that accurate information on the owner's name/address, mileage, and vehicle inspection cost has not been obtained.

The salesperson 40 determines from the advice information whether or not the person in question should be targeted for business, and contacts the owner 54 if the person is targeted for business. At this time, the salesperson 40 acquires information pointed out by the message as lacking, such as the name and address of the owner 54, accurate mileage, vehicle inspection cost, etc., in the course of sales activities. . When the salesperson 40 acquires these information, he/she operates the sales terminal device 4, opens the attribute information input screen shown in FIG. . The sales terminal device 4 transmits the input attribute information together with the registration number to the sales support device 3 as attribute complementary information. It should be noted that it is not necessary to transmit all the missing attribute information at once, and it may be transmitted as appropriate each time information is obtained.

The rank value search unit 302 of the sales support device 3 receives attribute complement information.
The attribute information search unit 300 searches the attribute information DB 110 using the registration number included in the supplementary attribute information as a key to acquire attribute information. The attribute information search unit 300 provides the rank value search unit 302 with the attribute information and attribute complementary information acquired from the attribute information DB 110 . The rank value search unit 302 searches the rank value DB 306 using the collected information and obtains the rank value R. FIG. The advice information selection section 320 searches the advice information DB 322 based on the rank value R, selects advice information, and transmits it from the advice information transmission section 324 . At this time, the message may include that the attribute complement information is used. Also, if there is missing attribute information, the message may include that fact.

Moreover, the attribute information search part 300 adds and updates the missing information to attribute information DB110 based on attribute complement information, so that it may illustrate in FIG.17(B). In the example of FIG. 17(B), the name and address of the owner, the mileage at the time of confirmation, and the cost of the second vehicle inspection are added.

After that, the attribute information DB 110 searches for attribute information based on the updated information. In addition to the vehicle inspection information, information such as travel distance is provided to the attribute information search unit 300 .

According to such a configuration, the advice information can be provided to the salesperson 40 even at the stage where some information is lacking, and the advice information makes the salesperson interested and obtains additional supplementary attribute information. In this case, more accurate advice information can be obtained, and the probability of obtaining sales results increases. Also, by writing additional attribute information into the attribute information DB 110, it becomes possible to use it in the next sales activity.

(Embodiment 3)
In the second embodiment, when a part of the required attribute information is missing, the rank value R obtained from the missing attribute information is predicted, the advice information ADI is searched, and the sales terminal device 4, the invention is not limited to this.

For example, if the model year is unknown, the rank value based on the mileage is A, and the rank value based on the remaining period of vehicle inspection is B, the combination of the rank values is (X, A, B), and all relevant advice information is displayed. It may be picked up and transmitted to the sales terminal device 4 . Note that X means "undefined". Therefore, in this example, all messages corresponding to (A, A, B) (B, A, B) (C, A, B) are sent along with explanations of the search conditions used to extract them. can be

The salesperson 40 determines from the advice information whether or not the person in question should be targeted for business, and contacts the owner 54 if the person is targeted for business. The salesperson 40 suitably transmits the information pointed out by the message as lacking to the sales support device 3 as attribute complement information.

(Embodiment 4)
Various information is recorded in the vehicle inspection certificate. It is also possible to use this information for sales activities. An automobile sales support system according to Embodiment 4, which utilizes information registered in vehicle inspections for sales activities of automobile sales, will be described below.

The basic configuration of this automobile sales support system is the same as the automobile sales support system 1 shown in FIG. However, similarly to the sales terminal device 4, a maintenance terminal device 5 composed of a smartphone tablet or the like is provided. The maintenance terminal device 5 is placed at a place where there is a possibility of checking the vehicle inspection certificate, such as a maintenance shop or a gas station.

As illustrated in FIG. 19, the maintenance terminal device 5 has substantially the same hardware configuration as the sales support device 3 shown in FIG. However, it has a function of reading code information such as a QR code (registered trademark) or a bar code of the camera 506 or the like. The maintenance terminal device 5 is held by a maintenance person or the like who can properly read the vehicle inspection certificate.

When servicing the vehicle, the person in charge of maintenance reads the QR code printed on the vehicle inspection certificate using the maintenance terminal device 5 with the consent of the vehicle owner. This QR code contains vehicle attribute information such as engine displacement, model year, vehicle inspection expiration date, and the like. The maintenance staff transmits attribute information read from the QR code together with additional attribute information such as the actual mileage read from the meter of the vehicle to the sales support device 3 via the communication network 100 . Since all the attribute information is included in the received data, the attribute information search unit 300 provides the acquired attribute information to the rank value search unit 302 .
Subsequent operations are the same as those of the first and second embodiments.

According to such a configuration, even in situations where the attribute information DB 110 does not exist, accurate advice information can be sent to the person in charge, leading to sales activities.

(Modification)
In the above description, the case where the sales support device 3 displays the advice information ADI on the sales terminal device 4 as soon as the registration number of the vehicle 50 is identified by the license plate reader 2 has been exemplified. Other combinations of the three rank values may not be associated with effective advice information ADI at that time. In such a case, the sales support device 3 monitors other combinations of the three rank values regarding the automobile 50 that change over time, and associates effective advice information ADI with the combination of the three rank values. The advice information ADI may be configured to be displayed on the sales terminal device 4 when the situation arises.

Also, in the above description, the example in which the sales support device 3 displays the advice information ADI including personal information on the sales terminal device 4 is shown, but the personal information may not be included in the advice information. The personal information may be collected by the sales person 40 as part of their sales activities.

For ease of understanding, the rank value R has only three stages of A to C, but these can be changed arbitrarily. By increasing the number of rank values, various pieces of advice information corresponding to individual attribute information may be transmitted/displayed.

For example, taking the remaining period of vehicle inspection as an attribute. If the remaining period for vehicle inspection is one month, there is a risk that registration may not be completed in time for new vehicles. Vehicle sales are centered on used vehicles that meet the delivery date. If it is possible, new car sales are also possible.Or we will operate to ensure that the car inspection is obtained.If the remaining period for car inspection is less than 1 month, we will mainly sell used cars that meet the delivery date. It is also possible to provide detailed advice information such as "Sales to ensure that vehicle inspections are obtained."

The form of the advice information is arbitrary, and in the above embodiment, it is a message, but it may be in the form of a checklist in which focus items, attention items, and the like are listed.

In the above-described embodiment, an example in which the rank value of vehicle sales is set in the rank value DB has been shown. , a rank value DB for vehicle inspection, and a combination of rank values corresponding to each attribute is obtained. may be selected, combined, and transmitted. Furthermore, the advice information may be selected by prioritizing sales targets according to their attributes.

(Embodiment 5)
Next, an example of a method for generating a rank value table registered in the rank value DB 306 will be described.

As described above, the initial data of the rank value table registered in the rank value DB 306 is owned by a user who has expressed an interest in, for example, purchasing a new vehicle, changing a vehicle, or replacing a vehicle (as described above, " It is formed by accumulating and analyzing vehicle attribute information. Target users are, for example, car dealers, used car dealers, used auction participants, car leasing shops or website visitors, car sharing shop or website visitors, and providing reference information for changing cars. is a person who accesses a store or site that Interest may be limited to those who show a strong desire to transfer, but in order to expand business opportunities, it is desirable to target a wide range of people who have shown interest to some extent.

An example will be described below in which a questionnaire is given to users who are interested in using a car lease to switch vehicles, and the questionnaire is analyzed to create initial data for the rank value table. In order to facilitate understanding, an example in which classification by engine displacement and remaining period for vehicle inspection are not provided will be described below. Here, the information on the car lease contract is an example of the distributed information on the transfer of cars, and the questionnaire is an example of the information on the attribute of the accessor's vehicle. Also, assume that the region to which the automobile sales support system 1 belongs, that is, the region where sales are supported, is the entire country of Japan.

In the present embodiment, as shown in FIG. 20, lease contract device 6 is connected to communication network 100 . Other configurations are the same as those of the first to fourth embodiments.

The lease contract device 6 is operated by a car lease business and is composed of a computer.

As shown in FIG. 21, the lease contract device 6 has the same configuration as the sales support device 3 shown in FIG. A communication I/F 605 is provided. These units are electrically connected to each other via a bus BL.

The CPU 601 expands the programs stored in the ROM 602 and the auxiliary storage device 604 into the RAM 603 and executes them, thereby controlling the overall lease contract device 6 and executing the process of concluding a lease contract for the vehicle. The CPU 601 includes distribution means for distributing lease information relating to automobile lease contracts via the communication network 100, and attribute information collection for collecting attribute information of vehicles managed by persons (including related parties) who have accessed the distribution means. means, and rank value data generating means for processing the collected attribute information and generating a rank value table.

The lease of the vehicle in this example is not limited, but mainly assumes a long-term contract of about 5 years and corresponds to a change of vehicle.

The lease contract device 6 inputs the attribute information of the vehicle currently owned by the user in the form of, for example, "Please cooperate with the questionnaire" to the user terminal that has accessed the long-term contract home page or site. provides a web page of In addition, it is not limited to the home page, and may be any SNS (Social Networking Service).

According to the display of the questionnaire, the user inputs attribute information such as the current vehicle model, engine displacement, model year, mileage, etc. in the input fields and returns it. The CPU 601 receives the transmitted information and stores it in the auxiliary storage device 604 .

As a result of repeating such operations, auxiliary storage device 604 accumulates information on vehicles owned at that time by users who are interested in switching vehicles under long-term lease contracts.

After receiving the questionnaire, the CPU 601 sends to the user terminal 1) a new car or a used car, 2) if a new car is desired, the model, engine displacement, grade, body color, options, and 3 ) When a used car is desired, a Web page is sequentially provided for the user to designate or select the vehicle type, engine displacement, type, grade, model year, mileage, body color, options, and the like. The user can conclude a lease contract between the car lease company and the user by repeating inputs and selections following the guidance displayed on the screen of the user's terminal device.

Note that the user can also avoid concluding a lease contract by leaving the lease contract screen as appropriate.

The CPU 601 starts rank value data generation processing shown in FIG. 22 at a predetermined timing or according to a user's instruction.

When the CPU 601 starts the rank value data generation process, first, based on the accumulated questionnaire results, as shown in FIG. A model year-mileage table T1 is generated that shows the correspondence between the vehicle and the mileage (step S81). In the model year-mileage table T1 illustrated in FIG. 23, the total number of vehicles owned by the users who responded to the questionnaire is 9688. is ``2001'' vehicles, the total number of vehicles with a mileage of ``50,000 to 60,000 km'' is ``48'', and the total number of vehicles with a model year of ``2001'' is ``249'' indicates that there is

Next, the CPU 601 obtains a model year ratio table T2 that indicates the ratio (%) of the number of vehicles of each model year to the total number of vehicles based on the model year-mileage table T1 (step S82). For example, in the model year-mileage table T1 shown in FIG. 23, the total number of vehicles owned by the survey respondents is "9688", of which the number of vehicles of the 2001 model is "249". Therefore, the percentage of 2001 vehicles is 249/9688=2.57%.

Next, the CPU 601 obtains a mileage ratio table T3 that indicates the ratio (%) of the number of vehicles by mileage to the total number of vehicles based on the model year-mileage table T1 (step S83). For example, in the model year-mileage table T1 shown in FIG. 23, the total number of vehicles is "9688", and the number of vehicles with a mileage of 50,000 to 60,000 km is "48". Therefore, the ratio (%) of vehicles with a mileage of 50,000 to 60,000 km is 48/9688=0.50%.

The ratios registered in the ratio table T2 by model year and the ratios registered in the ratio table T3 by mileage are based on the number of people who answered the questionnaire, in other words, those who are interested in changing their owned vehicles. This corresponds to data indicating the distribution (proportion) of car attributes

Next, the CPU 601 acquires registration data indicating the number of vehicles registered in Japan by model year and mileage from the attribute information DB 110 via the communication I/F 605 (step S84).

Based on the acquired registration data, the CPU 601 obtains the ratio of registered vehicles by model year to all registered vehicles (=number of registered vehicles in each model year/total number of registered vehicles: %), and creates a table T4 of registered vehicles by model year. and the ratio of registered vehicles by mileage to all registered vehicles (=number of registered vehicles at each mileage/% of all registered vehicles) to create a table T5 of registered vehicles by mileage (step S85). ).

FIG. 24A exemplifies a registration number table T4 by model year showing the number of vehicle registrations by model year in Japan, and FIG. A distance-based registration number table T5 is illustrated. The number of vehicle registrations by model year is obtained from vehicle registration information. Also, the number of registered vehicles by mileage is obtained by aggregating the mileage of each registered vehicle obtained at the time of vehicle inspection or the like. For example, according to the registration number table T4 by model year in FIG. 24A, the total number of vehicles registered in Japan is 65 million, of which 3 million are 2001 models It can be seen that it occupies 4.62%. Similarly, according to the registration number table T5 by mileage in FIG. 24(B), the total number of vehicles registered in Japan is 65 million. , 4,979,000, accounting for 7.66%. Note that the number of vehicle registrations by model year and the number of vehicle registrations by mileage held by the attribute information DB 110 need not be accurate, and may be accurate enough to grasp trends. Statistical information or the like announced by a public institution may also be used. These data show the distribution of attributes of vehicles used in the general public.

Next, the CPU 601 obtains the ownership ratio (%) of questionnaire respondents/nationwide performance ratio by model year=multiplying ratio by model year, and generates the rank value table T6 by model year shown in FIG. 25 (step S86). . The nationwide actual ratio is the holding ratio in the nationwide registration. For example, considering the 2003 model year, according to the model year ratio table T2, the ownership ratio of the questionnaire respondents is 5.19%. On the other hand, according to the registration number table T4 by model year, the nationwide registration rate is 3.08%. Therefore, the ratio by model year is 1.69 (=5.19/3.08). In addition, considering the 2001 model year, the ownership rate of the survey respondents was 2.57%, the nationwide registration rate was 4.62%, and the ratio by model year was 0.56 (= 2.57/4.62 ).

Here, the respondents of the questionnaire were those who visited the long-term lease contract site because they were interested in changing vehicles, and it is thought that their intention to change vehicles is higher than that of ordinary people. Therefore, when the year-specific ratio is greater than 1.00, it is considered that the model year has a higher ratio of users' intention to switch to a new model than other model years. This possibility increases as the ratio by model year increases. On the other hand, it is considered that a model year-specific ratio of less than 1.00 means that the possibility of changing cars is lower than average.

Similarly, the CPU 601 obtains the ownership ratio (%) of the respondents to the questionnaire/ratio of national results=multiplier by mileage for each mileage, and generates a rank value table by mileage T7 illustrated in FIG. 26 (step S87). . For example, considering the mileage of 140,000 km or more, the ownership ratio of the questionnaire respondents is 17.87% according to the mileage ratio table T3. On the other hand, according to the travel distance-based registration number table T5, the ownership ratio nationwide is 2.23%. Therefore, the magnification by distance traveled is 8.01 (=17.87/2.23). In addition, considering the mileage of 50,000 to 60,000 km, the ownership ratio of the questionnaire respondents is 0.50%, the nationwide registration ratio is 7.66%, and the ratio by mileage is 0.06 (=0. 50/1.00).

Here, the respondents of the questionnaire were those who visited the long-term lease contract site because they were interested in changing vehicles, and it is thought that their intention to change vehicles is higher than that of ordinary people. Therefore, when the mileage-specific magnification is greater than 1.00, it can be considered that the mileage has a higher percentage of the user's intention to change trains than other mileages. This possibility increases as the mileage-specific multiplier increases. On the other hand, if the mileage-specific multiplier is less than 1.00, it is considered that the possibility of changing trains is lower than average.

Next, the CPU 601 sets rank values as shown in FIGS. 25 and 26 by dividing each magnification by an appropriate threshold value and classifying them into ranks. The value table T7 is completed (step S88). For example, if the thresholds are set to 2 and 1 for the model year, if the ratio by model year is 2 or more is ranked A, if the ratio by model year is 1 or more is ranked B, and if the ratio by model year is less than 1, it is ranked C, as shown in Figure 25. gives the rank value shown. Similarly, with respect to the distance traveled, the thresholds are set to 3 and 1, and the magnification by distance of 3 or more is ranked A, the magnification by distance of 1 or more is ranked B, and the magnification by distance of less than 1 is ranked C, as shown in FIG. gives the rank value shown in

The rank values thus obtained can be used as the initial values of the rank values A to C in the rank value table shown in FIG.

Rank values A to C can also be obtained for the remaining vehicle inspection period by similar processing. Furthermore, the initial values of the rank value table shown in FIG. 4 can be obtained by performing the above-described processing for each engine displacement of the vehicle.

In the above description, an example of creating a table for each step is shown for easy understanding, but it is sufficient to create data that can be expressed as a table, and it is not necessary to create a visible table one by one. The same applies to the following description.

(Modification)
In the above description, the rank value by model year and the rank value by mileage are individually obtained from the magnification by model year and the mileage ratio. However, it is not limited to this, and it is also possible to obtain a synergistic expected value by multiplying the multiplier by model year and the multiplier by mileage. Therefore, a modified example for obtaining a rank value for each combination of model year and mileage will be described below with reference to FIGS. 27 to 28(B).

In this modification, the CPU 601 performs the rank value data generation process shown in FIG. 27 without obtaining the rank value by model year and the rank value by mileage after obtaining the ratio by model year and the ratio by mileage. Start. First, the CPU 601 generates a matrix with mileage as rows and model year as columns. As shown in the magnification matrix in FIG. A product is set (step S91).

For example, for an entry with a mileage of 50,000 to 60,000 km and a model year of 2001, set the product of 0.06 by mileage and 0.56 by model year to 0.03. For entries with 140,000 km or more and a model year of 2004, the product 27.23 of the mileage-specific multiplier of 8.01 and the year-specific multiplier of 3.40 is set.
Next, the CPU 601 sets a rank value based on the magnification set for each entry, and generates a rank value table (step S92). For example, rank S: magnification of 10 or more, rank value A: magnification of 6 or more, rank value B: magnification of 3 or more, rank value C: magnification of 1 or more, and rank value D: magnification of less than 1 are shown in FIG. A rank value table shown in FIG. 28B is obtained from the matrix.

A similar process may be performed for the remaining vehicle inspection period, and a rank value table for each engine displacement, vehicle type, and the like may be obtained.

Also, when the magnification is simply replaced with the rank value, as illustrated by circles in FIG. It is possible. In such a case, in order to facilitate subsequent processing, the rank values may be edited so that the same rank values are concentrated in a certain range, as shown in FIG. 29B, for example.

In the fifth embodiment, the example in which the lease contract device 6 generates the rank value data has been described, but any device may be used to generate the rank value. The lease contract device 6 may collect questionnaires, and the sales support device 3 may obtain the rank value data, or another terminal device (not shown) may obtain the rank value data.

In the above description, a method of obtaining rank value data based on a questionnaire to those who are interested in changing vehicles under a long-term lease contract has been described. However, the invention is not limited to this. As described above, the initial data of the rank value table is, for example, if attribute information of a vehicle owned by a user who has expressed an intention to purchase a new vehicle, transfer, or replace a vehicle, or an interest in such vehicle attribute information can be acquired. Such a method may be used.

For example, a tablet terminal or the like is placed at a dealer such as a car dealer or a second-hand car dealer, presenting the above-mentioned questionnaire to customers who visit the store, collecting the input data of the questionnaire, and performing the same processing as described above. , may generate a rank value table. In this case, for example, the tablet terminal and the questionnaire collection device are connected to the communication network 100 of FIG. The questionnaire collection device receives and accumulates questionnaire input data transmitted from the tablet terminal via the communication network 100 . The questionnaire collection device can process the collected data to obtain the rank value table described above. A person who visits each store is considered to be someone who has some sort of interest in transfer, regardless of whether or not they will conclude a contract, and appropriate rank value data can be obtained.

Alternatively, for example, instead of the lease contract device 6 of FIG. A questionnaire may be presented to the visitor and the input collected and analyzed. Here, the information on vehicle sales is an example of distribution information on changing cars, and the questionnaire is an example of information inquiring about the attribute of the accessor's vehicle.

In addition, questionnaires are presented to the viewers of transfer information sites such as price comparison sites, discount comparison sites, performance comparison sites, manufacturer comparison sites, store comparison sites, etc. for changing vehicles, and the input is collected and analyzed. You may make it

In the above description, a method of obtaining rank value data based on an online questionnaire has been described. However, the invention is not limited to this. For example, it is possible to ask the respondents to answer a printed questionnaire, input the answers into a terminal device, and perform statistical processing. In addition, the collection method is not limited to the example of using the questionnaire, as long as the attribute information of the vehicle managed by the user who is interested in changing trains can be collected. For example, attribute information may be input for user registration, membership registration, and the like. In addition, the necessary information may be acquired at the necessary time according to the provision status of the information instead of the form in which the necessary information is input all at once. In addition, sales representatives enter information obtained from customers when serving customers (information such as engine displacement, mileage, next vehicle inspection deadline, etc.) into the sales terminal, and collect and process the entered data to obtain rank value data. You may get

Also, an example was shown in which the entire country of Japan is considered to be the region to which the automobile sales support system 1 belongs, a rank value table common to the whole country is obtained, and sales are supported using the rank value table. ) may be narrowed down to obtain a rank value table or the like dedicated to the society to which one belongs. For example, assuming a case of obtaining a rank value table exclusively for Tokyo, based on attribute information obtained from a questionnaire from users living in Tokyo and registered information in Tokyo, You should be able to find the magnification etc. The scope of the target society is arbitrary. Also, a rank value table dedicated to public officials in A prefecture, a rank value table dedicated to company B, and the like may be designed.

Alternatively, a rank value table may be obtained for each vehicle grade, and an expected value for sales activities may be obtained according to the vehicle grade managed by the sales target user. For example, a rank value table for domestic car managers (owners) and a rank value table for foreign car managers can be obtained separately for use in sales activities, or luxury cars and general public can be distinguished based on preset criteria. , and a rank value table for luxury car managers (owners) and a rank value table for general public managers may be obtained separately for use in sales activities.

While embodiments of the invention have been described, the embodiments have been presented by way of example and are not intended to limit the scope of the invention. These new embodiments can be embodied in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and their modifications are included in the scope and gist of the present invention, and are included in the scope of the invention described in the claims and equivalents thereof.

1 Automobile sales support system 100 Communication network 110 Attribute information DB
2 license plate reader 20 camera 21 character recognition device 22 transmission device 3 sales support device 300 attribute information search unit 302 rank value search unit 304 mileage estimation unit 306 rank value DB
320 Advice information selection unit 322 Advice information DB
324 Advice information transmission unit 340 Feedback unit 4 Sales terminal device 40 Sales person 5 Maintenance terminal device 50 Automobile 52 License plate 54 Owner 6 Lease contract device

Claims (18)

attribute information acquisition means for acquiring a plurality of attribute information of a vehicle;
a rank value database that associates and stores a plurality of pieces of attribute information of automobiles with rank values that indicate the likelihood of success in sales activities related to automobiles;
Transmission means for searching the rank value database using the plurality of attribute information acquired by the attribute information acquisition means, acquiring a plurality of rank values, and transmitting advice information corresponding to a combination of the acquired plurality of rank values. and,
feedback means for receiving information indicative of the results of actual sales activities;
rank value updating means for updating the rank value registered in the rank value database based on the received information indicating the result of the sales activity;
automobile sales support system. attribute information acquisition means for acquiring a plurality of attribute information of a vehicle;
a rank value database that associates and stores a plurality of pieces of attribute information of automobiles with rank values that indicate the likelihood of success in sales activities related to automobiles;
Transmission means for searching the rank value database using the plurality of attribute information acquired by the attribute information acquisition means, acquiring a plurality of rank values, and transmitting advice information corresponding to a combination of the acquired plurality of rank values. and,
rank value data generating means for generating rank value data to be stored in the rank value database;
with
The plurality of attribute information of the automobile includes at least model year and mileage,
The rank value data generation means processes the collected attribute information,
a means for obtaining the percentage of vehicles managed by the accessor by model year and the percentage by mileage;
Means for obtaining percentages by model year and percentages by mileage of vehicles in the society to which one belongs;
The ratio of the percentage of vehicles managed by the accessor by model year to the percentage of vehicles by model year in the society to which the accessor manages, and the ratio by mileage of the vehicles managed by the accessor and the mileage of the vehicle in the society to which the accessor manages a means for respectively determining a value of a ratio with another ratio;
Means for obtaining a rank value by model year and by mileage based on the obtained ratio value;
comprising
Automobile sales support system. attribute information acquisition means for acquiring a plurality of attribute information of a vehicle;
a rank value database that associates and stores a plurality of pieces of attribute information of automobiles with rank values that indicate the likelihood of success in sales activities related to automobiles;
Transmission means for searching the rank value database using the plurality of attribute information acquired by the attribute information acquisition means, acquiring a plurality of rank values, and transmitting advice information corresponding to a combination of the acquired plurality of rank values. and,
rank value data generating means for generating rank value data to be stored in the rank value database;
with
The plurality of attribute information of the automobile includes at least model year and mileage,
The rank value data generation means processes the collected attribute information,
a means for obtaining the percentage of vehicles managed by the accessor by model year and the percentage by mileage;
Means for obtaining percentages by model year and percentages by mileage of vehicles in the society to which one belongs;
The rate by model year, which is equivalent to the ratio of the ratio by model year of vehicles managed by the accessor and the ratio by model year of vehicles in the society to which the accessor belongs, and the ratio by mileage of the vehicles managed by the accessor A means for obtaining a mileage-specific ratio corresponding to a ratio value of the ratio of the mileage-specific ratio of vehicles in the society to which the vehicle belongs, and calculating the product of the calculated year-specific ratio and the mileage-specific ratio;
a means for converting the obtained product into a rank value and obtaining a matrix having the rank value as an element;
comprising
Automobile sales support system. The attribute information obtaining means obtains the attribute information of the automobile from the registration number of the automobile.
The automobile sales support system according to any one of claims 1 to 3 . The attribute information acquisition means is
license plate reading means for reading the registration number of the automobile written on the license plate attached to the automobile;
means for acquiring attribute information from an attribute information database that associates and stores the registration number and attribute information using the read registration number;
The automobile sales support system according to any one of claims 1 to 4, comprising: The attribute information acquisition means reads coded attribute information from a description of the attribute information of the automobile.
The automobile sales support system according to any one of claims 1 to 4 . The transmission means transmits provisional advice information based on the attribute information acquired by the attribute information acquisition means,
Further comprising means for receiving attribute complement information that complements the missing attribute information,
The transmission means transmits advice information based on the attribute information acquired by the attribute information acquisition means and the received attribute complementary information.
The automobile sales support system according to any one of claims 1 to 6 . feedback means for receiving information indicative of the results of actual sales activities;
rank value updating means for updating the rank value registered in the rank value database based on the received information indicating the result of the sales activity;
The automobile sales support system according to claim 2 or 3, further comprising: The sales activities include two or more of sales of new cars, sales of used cars, parts replacement, sales of consumables, sales of vehicle inspections, and sales of inspections,
The automobile sales support system according to claim 1 or 8 . The plurality of attribute information of the automobile includes two or more of engine displacement value, model year, mileage, and remaining period until vehicle inspection expiration date,
The automobile sales support system according to any one of claims 1 to 9 . The rank value data stored in the rank value database is generated by processing attribute information of vehicles managed by a person who has shown an interest in changing cars.
The automobile sales support system according to claim 2, 3 or 8 . a distribution means for distributing information about changing cars via a communication network;
attribute information collecting means for collecting attribute information of a vehicle managed by a person who has accessed the distribution means via a terminal device that has accessed the distribution means;
with
The rank value data generation means processes the attribute information collected by the attribute information collection means to generate rank value data to be stored in the rank value database .
The automobile sales support system according to claim 2, 3, 8 or 11 . The distribution means provides, as information relating to transfer, information including any one of automobile sales information, automobile lease information, and transfer reference information via the network, and furthermore, the attribute of the vehicle of the person accessing the vehicle. send information to inquire about
the attribute information collecting means acquires attribute information by receiving a response;
The automobile sales support system according to claim 12 . a distribution means for distributing information about changing cars via a communication network;
attribute information collecting means for collecting attribute information of a vehicle managed by a person who has accessed the distribution means via a terminal device that has accessed the distribution means;
Rank value data generation means for processing the attribute information collected by the attribute information collection means to generate rank value data indicating the possibility of success in sales activities related to automobiles;
with
The attribute information includes at least model year and mileage,
The rank value data generation means processes the collected attribute information,
a means for obtaining the percentage of vehicles managed by the accessor by model year and the percentage by mileage;
Means for obtaining percentages by model year and percentages by mileage of vehicles in the society to which one belongs;
The ratio of the percentage of vehicles managed by the accessor by model year to the percentage of vehicles by model year in the society to which the accessor manages, and the ratio by mileage of the vehicles managed by the accessor and the mileage of the vehicle in the society to which the accessor manages a means for respectively determining a value of a ratio with another ratio;
Means for obtaining a rank value by model year and by mileage based on the obtained ratio value;
comprising
Automobile sales support system. A computer implemented method comprising:
storing a plurality of pieces of attribute information of a vehicle in association with a rank value indicating the possibility of successful sales activity;
obtaining a plurality of attribute information of a vehicle to be sold, and displaying advice information on sales activities based on a combination of a plurality of rank values corresponding to the obtained attribute information to support sales activities;
receive information indicating the results of actual sales activities;
Updating the rank value stored in association with the plurality of attribute information of the automobile based on the received information indicating the result of the sales activity;
Automobile sales support method. A computer implemented method comprising:
Collect attribute information of vehicles managed by people who have accessed to receive information on changing cars,
a rank value data generation step of processing the collected attribute information to generate rank value data indicative of a rank of likelihood of success in marketing the vehicle;
An automobile sales support method ,
The attribute information includes at least model year and mileage,
In the rank value data generation step, the collected attribute information is processed,
Calculate the percentage of vehicles managed by the accessor by model year and mileage,
Acquire the percentage of vehicles by model year and the percentage by mileage in the society to which they belong,
The ratio of the percentage of vehicles managed by the accessor by model year to the percentage of vehicles by model year in the society to which the accessor manages, and the ratio by mileage of the vehicles managed by the accessor and the mileage of the vehicle in the society to which the accessor manages and the value of the ratio with another ratio, respectively,
Based on the obtained ratio value, determine the rank value by model year and mileage,
Automobile sales support method. to the computer,
a step of associating and storing a plurality of pieces of attribute information of a vehicle with a plurality of rank values indicating the likelihood of success in sales activities related to the vehicle;
a step of obtaining a combination of rank values corresponding to a plurality of attribute information of a vehicle to be sold, and displaying advice information corresponding to the obtained combination of rank values to support sales activities;
receiving information indicative of the results of the actual sales activity;
updating a rank value stored in association with a plurality of attribute information of the automobile based on the received information indicating the result of the sales activity;
program to run. to the computer,
a step of collecting attribute information of a vehicle managed by a person accessing the vehicle to receive information on changing vehicles;
a rank value data generation step of processing the collected attribute information to generate rank value data indicative of a rank of likelihood of success in marketing the vehicle;
and
The attribute information includes at least model year and mileage,
In the rank value data generation step, the collected attribute information is processed,
Calculate the percentage of vehicles managed by the accessor by model year and mileage,
Acquire the percentage of vehicles by model year and the percentage by mileage in the society to which they belong,
The ratio of the percentage of vehicles managed by the accessor by model year to the percentage of vehicles by model year in the society to which the accessor manages, and the ratio by mileage of the vehicles managed by the accessor and the mileage of the vehicle in the society to which the accessor manages and the value of the ratio with another ratio, respectively,
Based on the obtained ratio value, determine the rank value by model year and mileage,
program.

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