WO2020217433A1

WO2020217433A1 - Data processing method for matching customer with commodity or service and data processing device for matching customer with commodity or service

Info

Publication number: WO2020217433A1
Application number: PCT/JP2019/017809
Authority: WO
Inventors: 宏克小川; 康生中山; 中尾　浩; 拓己金本
Original assignee: ヤマハ発動機株式会社
Priority date: 2019-04-25
Filing date: 2019-04-25
Publication date: 2020-10-29
Also published as: JPWO2020218406A1; JP6913832B2; WO2020218406A1

Abstract

The present invention provides a data processing method and a data processing device for matching a customer with a commodity or a service, which make it possible to acquire data on which a potential customer's preference with high versatility is reflected while securing a degree of freedom of design of a hardware resource. A data processing method according to an embodiment of the present invention is used to perform data processing for matching a customer with a commodity or a service. The data processing method is provided with: a step for acquiring a plurality of pieces of care history data; a step for acquiring a plurality of pieces of servicer ID associated care direct relation data; a step for generating a customer ID and the servicer ID associated care direct relation data; a step for generating the customer ID and servicer ID associated output care direct relation data; and a step for outputting the generated customer ID and servicer ID associated output care direct relation data.

Description

A data processing method for matching a customer with a product or service, and a data processing device for matching a customer with a product or service.

The present invention relates to a data processing method for matching a customer with a product or service, and a data processing device for matching a customer with a product or service.

A data processing system for matching a customer with a product or service using the customer's taste is known. As a configuration for performing data processing for matching a customer with a product or service using a customer's preference, for example, the configurations disclosed in Patent Documents 1 to 6 are known.

Patent Document 1 discloses a system that presents supplementary information related to an advertisement that the user feels interested in to the user.

Patent Document 2 discloses a system in which a set of drivers is presented to a user so that the user can select a driver.

Patent Document 3 discloses an electronic commerce system that introduces a seller who can sell a product by utilizing a user's preference and sends a purchase request to the seller.

Patent Document 4 discloses a system that proposes a recipe based on a user's taste and available materials stored in a storage such as a refrigerator.

Patent Document 5 discloses a system that analyzes hotel services based on user preferences.

Patent Document 6 discloses a system that analyzes a customer's preference based on the customer's product purchase history.

U.S. Patent Application Publication No. 2019/0005549 U.S. Patent Application Publication No. 2015/0206267 U.S. Pat. No. 10134078 U.S. Pat. No. 9821344 U.S. Patent Application Publication No. 2019/026793 U.S. Patent Application Publication No. 2017/010403

If there is data that reflects potential customer preferences with high versatility, it is possible to improve the accuracy of matching between customers and products or services by using it for data processing.

Therefore, in order to obtain data that reflects the tastes of potential customers with high versatility, it is conceivable to use deeper and more detailed data on the products purchased by the customers. However, when using deeper and more detailed data about the products purchased by the customer, it is necessary to further increase the types of data by the number of product types. Therefore, the types of data processed by the system are very large.

If the number of types of data processed by the system becomes very large, the load on the hardware of the system will increase. Therefore, the hardware resources required by the system increase, which limits the design of the hardware resources of the system. Therefore, the degree of freedom in designing the hardware resources of the system is reduced.

An object of the present invention is data for matching a customer with a product or service, which can acquire data reflecting a highly versatile potential customer's preference while ensuring a degree of design freedom of hardware resources. It is to provide a processing method and a data processing apparatus.

The present inventors have considered acquiring data that reflects the tastes of potential customers with high versatility while increasing the degree of freedom in designing hardware resources. As a result, we came up with the following configuration.

The data processing method according to the embodiment of the present invention is used to perform data processing for matching a customer with a product or service. The data processing method includes a step of acquiring a plurality of care history data, a step of acquiring a plurality of servicer ID association care directly related data, a step of generating a customer ID and a servicer ID association care directly related data, a customer ID, and the data processing method. It includes a step of generating the care directly related data for the servicer ID association output and a step of outputting the generated customer ID and the care direct related data for the servicer ID association output.

The plurality of care history data are maintenance performed on a small vehicle, which is a one-seater or two-seater vehicle, excluding repair of a failure of the small vehicle and repair of damage. Data related to care history. Each of the plurality of care history data includes customer ID data, servicer ID data, vehicle ID data, and maintenance record data, and the customer ID data, servicer ID data, vehicle ID data, and maintenance record data are associated with each other. This is the data obtained.

Customer ID data is data for identifying a customer. The customer ID data includes at least one of requester ID data, owner ID data, or user ID data. The requester ID data is data for identifying the requester who requested care. The owner ID data is data for identifying the owner of a small vehicle. The user ID data is data for identifying a user of a small vehicle.

Servicer ID data is data for identifying the servicer who provides care. The servicer ID data includes at least one of mechanic ID data, owner ID data, or store ID data. The mechanic ID data is data for identifying the mechanic who performed the care. The owner ID data is data for identifying the owner of the store to which the mechanic who performed the care belongs. The store ID data is data for identifying the store to which the mechanic who performed the care belongs.

Vehicle ID data is data for identifying a small vehicle.

Maintenance performance data is data related to maintenance performance. Maintenance performance data includes data related to care implementation dates. Care date-related data is data related to the care date. Care date-related data includes more data with a care implementation date interval of 4 months or less than data with a care implementation date interval greater than 4 months.

The plurality of servicer ID-related care direct-related data are data in which the care direct-related data and the servicer ID data are associated with each other. Care-related data is data that is directly related to the care of small vehicles.

The customer ID and servicer ID association care directly related data is based on the acquired plurality of servicer ID association care direct association data and the acquired plurality of care history data, and the customer ID data, the servicer ID data, and the care. It is generated by associating at least a part of the directly related data.

Customer ID and servicer ID association output care Directly related data is data for output. The customer ID and servicer ID association output care direct association data is generated using the customer ID and servicer ID association care direct association data.

According to the above data processing method, it is possible to acquire data that reflects the tastes of potential customers with high versatility while ensuring the degree of freedom in designing hardware resources. The reason is as follows.

The above data processing method uses a plurality of care history data to generate data for output. Here, each of the plurality of care history data includes maintenance record data. Maintenance performance data includes data related to care implementation dates. Care date-related data includes more data with a care implementation date interval of 4 months or less than data with a care implementation date interval greater than 4 months. In other words, the data related to the care implementation date shows that care for small vehicles is frequently implemented.

Customers who frequently request care for small vehicles like this consider small vehicles not only as a means of transportation but also as a property. Therefore, in order to maintain the function as a means of transportation and the value as a property, we are enthusiastic about the care to keep the small vehicle in the best possible condition. Specifically, it is as follows.

As mentioned above, care for small vehicles is carried out frequently. Therefore, customers want to keep the cost of caring for small vehicles as low as possible. However, the cost of caring for a small vehicle is not always low. The quality of care for small vehicles is also important in order to maintain its function as a means of transportation and its value as a property. Therefore, customers who frequently request the care of small vehicles will sincerely evaluate the servicers who provide the care of small vehicles.

Here, care for small vehicles is carried out frequently, so it is a relatively simple task. Therefore, it is unlikely that there will be a difference in the skills of the mechanics who carry out care. Therefore, when evaluating things that are unlikely to make such a difference, the reliability of the servicer who provides care is likely to be reflected. Such reliability has a great influence on the taste of potential customers. The potential customer preference, which is greatly affected by the reliability, is based on the sincere evaluation of the customer's servicer, and thus is highly versatile.

Therefore, care history data, including care date-related data indicating that small vehicle care is performed frequently, is data that reflects the versatility of potential customer preferences. .. That is, according to the above data processing method, it is possible to acquire data that reflects such highly versatile potential customer preferences.

In addition, the care history data, which is data that reflects the highly versatile potential customer preferences, may be any data that is associated with customer ID data, servicer ID data, vehicle ID data, and maintenance record data. , It is possible to suppress an increase in the types of data that need to be processed. Therefore, according to the above data processing method, it is possible to suppress an increase in the hardware resources required for data processing and secure a degree of freedom in designing the hardware resources.

In one embodiment of the present invention, the customer is not particularly limited as long as it has some relationship with a small vehicle which is a one-seater or two-seater vehicle. The customer may be, for example, a client who has requested care for a small vehicle, or may be an owner or a user (user) of the small vehicle. The customer may be an individual or an organization composed of a plurality of personnel. The organization may include a legal entity (company). The client may or may not be the owner. The client may or may not be the user.

In one embodiment of the present invention, the product is not particularly limited as long as it belongs to the servicer's business. Goods are, for example, related to small vehicles. A product is, for example, a part used in a small vehicle.

In one embodiment of the present invention, the service is not particularly limited as long as it belongs to the servicer's business. Services relate, for example, to the care of small vehicles.

In one embodiment of the present invention, the data processing for matching a customer with a product or service is not particularly limited as long as it generates data used for matching the customer with the product or service. The data used to match a customer with a product or service may be, for example, directly used to match a customer with a product or service, or to match a customer with a product or service. It may be used indirectly.

In one embodiment of the present invention, the small vehicle is not particularly limited as long as it has a passenger capacity of one or two. In other words, the small vehicle is not particularly limited as long as it is provided with one or two seats for occupants to sit on. For example, the two seats may be arranged side by side in the front-rear direction of the vehicle, or may be arranged side by side in the left-right direction of the vehicle. The small vehicle includes, for example, at least one front wheel and at least one rear wheel. The small vehicle may, for example, be provided with a drive source that generates power transmitted to the wheels, or may not be provided with a drive source that generates power transmitted to the wheels. The drive source may be, for example, an engine, an electric motor, or an engine and an electric motor. If the small vehicle does not have a drive source, the small vehicle is provided, for example, with means for manually rotating the wheels. The means is, for example, a pedal.

In one embodiment of the present invention, a failure is a state in which a device or component loses a specified function, that is, a device or component does not operate normally. Therefore, a failure of a small vehicle is a state in which it becomes difficult for the small vehicle to travel because parts and the like constituting the small vehicle lose their prescribed functions. The state in which the small vehicle becomes difficult to run includes, for example, a state in which the small vehicle cannot run and a state in which the small vehicle cannot run straight.

In one embodiment of the present invention, damage is a state in which a device, a part, or the like is physically damaged. Therefore, damage to a small vehicle is a state in which parts and the like constituting the small vehicle are physically damaged.

In one embodiment of the present invention, maintenance is an act of maintaining a device or part in good condition. Therefore, the maintenance performed on the small vehicle is an act for maintaining the small vehicle in good condition.

In one embodiment of the present invention, care is an act of maintaining equipment or parts in good condition, except for repair of failure and repair of damage. Care includes inspection of equipment and parts. Therefore, the care provided for small vehicles refers to the parts used for small vehicles, except for repairs that are repairs for breakdowns and damages of small vehicles, among the maintenance performed for small vehicles. It is an act to keep the condition in good condition. Care for small vehicles includes inspection of parts used in small vehicles. Care is preferably performed on a daily basis, for example. Care includes, for example, tire pressure inspection / replenishment, brake operator play inspection / adjustment, battery inspection / replacement, coolant inspection / replenishment / replacement, oil and oil filter inspection / replacement, and lighting equipment (lighting equipment). Inspection / replacement of headlights, taillights, turn signals, etc., inspection / cleaning / replacement of air filters, etc. Since such care is performed on a daily basis, it is inexpensive but frequent.

In one embodiment of the present invention, the data includes not only pure data but also calculation formulas, maps, comparators, reference devices and the like.

In one embodiment of the present invention, the care history data is not particularly limited as long as it is data related to the history of care performed on a small vehicle. The care history data may directly indicate the history of care or may indirectly indicate the history of care. The care history includes a history of purchasing parts used in performing care. The care history may be, for example, a time-series arrangement of all the maintenance performed regardless of the type of maintenance, or a time-series arrangement for each type of maintenance performed. You may. That is, the care history data may include data related to the history of repairs performed on the small vehicle, in addition to data related to the history of care performed on the small vehicle.

In one embodiment of the present invention, the care history data is not particularly limited as long as it is associated with customer ID data, servicer ID data, vehicle ID data, and maintenance record data. The mode in which the customer ID data, the servicer ID data, the vehicle ID data, and the maintenance record data are associated includes, for example, a mode in which the customer ID data, the servicer ID data, the vehicle ID data, and the maintenance record data are input from the same terminal, or a customer. The mode in which the ID data, the servicer ID data, the vehicle ID data, and the maintenance record data are input by the same person is included. Whether or not the data is input from the same terminal may be checked, for example, by checking the identification code or the like assigned to the terminal. Whether or not the data was input by the same person may be confirmed, for example, by checking the identification code or the like given to the person. The care history data may be input by a single input operation or may be input by a plurality of input operations. The second and subsequent input operations may be an operation of inputting additional information or an operation of rewriting the already input information.

In one embodiment of the present invention, the mode of acquiring data is not particularly limited. The mode of acquiring data includes, for example, not only a mode of storing data in a non-volatile memory but also a mode of temporarily storing data in a volatile memory. Here, the non-volatile memory is a memory that can hold the memory even if power is not supplied. Further, the volatile memory is a memory that cannot hold the memory when power is not supplied. The data stored in the volatile memory is stored in the non-volatile memory at an appropriate timing.

In one embodiment of the present invention, the customer ID data is not particularly limited as long as it is data for identifying a customer. The customer ID data may directly identify the customer or may indirectly identify the customer. The customer ID data is not particularly limited as long as it includes at least one of the requester ID data, the owner ID data, and the user ID data. The requester ID data is not particularly limited as long as it is data for identifying the requester who requested care. The requester ID data may directly identify the requester or indirectly identify the requester. The owner ID data is not particularly limited as long as it is data for identifying the owner of a small vehicle. The owner ID data may directly identify the owner or indirectly identify the owner. The user ID data is not particularly limited as long as it is data for identifying a user of a small vehicle. The user ID data may directly identify the user or indirectly identify the user. The customer ID data may be acquired, for example, based on the information input by the customer, may be acquired based on the information input by the mechanic who performed the care, or may be acquired by the owner of the store where the care was performed. It may be acquired based on the information to be entered. The information for identifying the customer may be input by, for example, all by the customer, all by the mechanic or the owner, or may be input by the mechanic or the owner in addition to the input of the customer. When inputting the information for identifying the customer, for example, a mobile terminal owned by the customer may be used, or a terminal owned by a mechanic or the owner may be used. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed. The information for identifying the customer is, for example, the personal information of the customer. The customer's personal information includes, for example, the information contained in an identification card owned by the customer or a certificate issued by a public institution. The personal information of the customer may be a single piece of information or a plurality of pieces of information. The customer's personal information may be, for example, the customer's name, the customer's address or whereabouts, the customer's telephone number, or the customer's email address. .. The customer's telephone number may be a landline telephone number or a mobile phone telephone number. When the customer ID data includes information for identifying the requester, the information for identifying the requester may include, for example, information indicating a relationship with the owner or user of the small vehicle. When the customer ID data includes information for identifying the owner, the information for identifying the owner may include, for example, information indicating the relationship with the user of the small vehicle. When the customer ID data includes information for identifying the user, the information for identifying the user may include, for example, information indicating the relationship with the owner of the small vehicle.

In one embodiment of the present invention, the servicer ID data is not particularly limited as long as it is data for identifying the servicer. The servicer ID data may be one that directly identifies the servicer, or may be one that indirectly identifies the servicer.

In one embodiment of the present invention, the servicer is not particularly limited as long as it provides care. The servicer includes not only the mechanic who performs the care, but also the store to which the mechanic belongs and the owner of the store (that is, the person who employs the mechanic). The store, which is the place where care is provided, may be owned by the owner or may be owned by a third party. The tools and equipment for performing care may be owned by the mechanic, owned by the owner, or leased by a third party. The servicer is not a dealer who sells small vehicles delivered by the manufacturer, that is, new vehicles. The servicer may be in charge of other than the care of the small vehicle as long as the main business is the care of the small vehicle. The business may be, for example, repair of a small vehicle, or purchase or sale of a used vehicle. For example, the number of mechanics belonging to a store as a servicer is three or less. There are more such stores than dealers.

In one embodiment of the present invention, the servicer ID data is not particularly limited as long as it includes at least one of mechanic ID data, owner ID data, or store ID data. The mechanic ID data is not particularly limited as long as it is data for identifying the mechanic who has performed the care of the small vehicle. The mechanic ID data may directly identify the mechanic or indirectly identify the mechanic. The owner ID data is not particularly limited as long as it is data for identifying the owner of the store that has taken care of the small vehicle. The owner ID data may directly identify the owner or indirectly identify the owner. The store ID data is not particularly limited as long as it is data for identifying a store that has performed care for a small vehicle. The store ID data may directly identify the store or indirectly identify the store. The servicer ID data is acquired based on, for example, the information input by the servicer. Specifically, the servicer ID data may be acquired based on the information input by the mechanic who performed the care, or the servicer ID data may be acquired based on the information input by the owner of the store where the care was performed. May be good. When inputting information for identifying the servicer, for example, a terminal owned by the servicer is used. The terminal owned by the servicer may be, for example, a terminal owned by the mechanic who provided the care, or a terminal owned by the owner of the store that provided the care. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed. The information for identifying the servicer is, for example, the personal information of the servicer. The personal information of the servicer includes, for example, the information contained in the identification card owned by the servicer or the certificate issued by a public institution. The personal information of the servicer may be a single piece of information or a plurality of pieces of information. The personal information of the servicer may be, for example, the name or name of the servicer, the address, whereabouts, or location of the servicer, the telephone number of the servicer, or the email address of the servicer. There may be. The servicer's telephone number may be a landline telephone number or a mobile phone telephone number.

In one embodiment of the present invention, the vehicle ID data is not particularly limited as long as it is data for identifying a small vehicle based on information other than the owner or user of the small vehicle. The vehicle ID data may directly identify a small vehicle or may indirectly identify a small vehicle. The information that directly identifies the small vehicle is, for example, information given by the manufacturer of the small vehicle or information given by a public institution. Information that indirectly identifies a small vehicle is, for example, the model and model year of the small vehicle. The vehicle ID data may be acquired, for example, based on the information input by the customer, may be acquired based on the information input by the mechanic who performed the care, or may be acquired by the owner of the store where the care was performed. It may be acquired based on the information to be entered. When inputting the information for identifying the small vehicle, for example, a mobile terminal owned by the customer may be used, or a terminal owned by the mechanic or the owner may be used. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed. The information for identifying the small vehicle is, for example, information unique to the small vehicle. The information specific to the small vehicle may be, for example, information given by the manufacturer of the small vehicle, or information given by a public institution.

In one embodiment of the present invention, the maintenance record data is not particularly limited as long as it shows a record of maintenance already performed. Maintenance includes repair and care. The maintenance performance data is not particularly limited as long as it includes data related to the care implementation date. The maintenance performance data may include, for example, information related to the content of care performed. The contents of the care provided include, for example, the type of care provided, the price of the care provided, the parts purchased in connection with the implementation of the care, the price of the purchased parts, and the like. The maintenance performance data may be acquired, for example, based on the information input by the mechanic who performed the care, or may be acquired based on the information input by the owner of the store where the care was performed. When inputting information related to the maintenance results, for example, a terminal owned by the mechanic may be used, or a terminal owned by the owner may be used. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

In one embodiment of the present invention, the care implementation date-related data is not particularly limited as long as it is data related to the care implementation date of a small vehicle. The care implementation date-related data may directly identify the care implementation date or indirectly identify the care implementation date. The data for indirectly specifying the care implementation date is, for example, data indicating the number of days elapsed from the previous care implementation date.

In one embodiment of the present invention, the care implementation date-related data may include more data in which the care implementation date interval is 4 months or less than data in which the care implementation date interval is greater than 4 months. .. The care date-related data may not include any data in which the care implementation date interval is greater than 4 months, or may include data in which the care implementation date interval is greater than 4 months.

In one embodiment of the present invention, the servicer ID-related care direct-related data is not particularly limited as long as the care direct-related data and the servicer ID data are associated with each other. The servicer ID-related care direct-related data indicates, for example, products or services that can be provided by the servicer specified by the servicer ID data and related to the care of a small vehicle. The mode in which the care directly related data and the servicer ID data are associated includes, for example, a mode in which these data are input from the same terminal and a mode in which these data are input by the same person. Whether or not the data is input from the same terminal may be checked, for example, by checking the identification code or the like assigned to the terminal. Whether or not the data was input by the same person may be confirmed, for example, by checking the identification code or the like given to the person. The care direct association data and the servicer ID data are associated, for example, by inputting the servicer. Servicer ID association care Directly related data may be input by one input operation or may be input by a plurality of input operations. The second and subsequent input operations may be an operation of inputting additional information or an operation of rewriting the already input information. The servicer ID data associated with the care directly related data need not be included in the care history data.

In one embodiment of the present invention, the care directly related data is not particularly limited as long as it is data directly related to the care of a small vehicle. "Directly related to the care of a small vehicle" is a concept that includes not only the care of the small vehicle itself but also the parts used for the small vehicle and the small vehicle to which the care is performed. Parts used in small vehicles include oil and consumables. The parts used in the small vehicle may be, for example, genuine parts or compatible parts. The care direct related data may be input using, for example, a terminal owned by the mechanic, or may be input using a terminal owned by the owner. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

In one embodiment of the present invention, the customer ID and the servicer ID association care direct related data is based on the acquired plurality of servicer ID association care direct related data and the acquired plurality of care history data. The data is not particularly limited as long as it is generated by associating the servicer ID data with at least a part of the data directly related to care. "Based on the acquired multiple servicer ID association care directly related data and the acquired multiple care history data" means that the multiple servicer ID association care directly related data acquired and the multiple care acquired. It means to use historical data as input data. The output data is customer ID and servicer ID association care directly related data. For example, a machine learning algorithm is used to associate the customer ID data, the servicer ID data, and at least a part of the data directly related to care.

Multiple servicer ID associations acquired The customer ID data, the servicer ID data, and at least a part of the care direct-related data are associated with each other based on the acquired care direct-related data and the acquired multiple care history data. In this case, for example, a recommender system, which is a kind of information filtering technique, may be used. For example, a machine learning algorithm is used as a recommender system. An algorithm used in a recommender system is, for example, a nearest neighbor search.

Multiple servicer ID associations acquired The customer ID data, the servicer ID data, and at least a part of the care direct-related data are associated with each other based on the acquired care direct-related data and the acquired multiple care history data. In that case, for example, data mining may be used. Data mining is a technology for extracting knowledge by comprehensively applying data analysis techniques such as statistics, pattern recognition, and artificial intelligence to a large amount of data. For data mining, for example, a machine learning algorithm is used.

Multiple servicer ID associations acquired The customer ID data, the servicer ID data, and at least a part of the care direct-related data are associated with each other based on the acquired care direct-related data and the acquired multiple care history data. The timing is not particularly limited. For example, the input from the customer may be the trigger, the input from the servicer may be the trigger, or the elapse of a predetermined period may be the trigger. The predetermined period is, for example, the number of days elapsed from the previous care implementation date.

In one embodiment of the present invention, the customer ID and servicer ID association care direct-related data for output is data generated using the customer ID and servicer ID association care direct-related data, and may be data for output. For example, there is no particular limitation. The customer ID and servicer ID association output care direct-related data may be, for example, the customer ID and servicer ID association care direct-related data itself, or some processing is performed on the customer ID and servicer ID association care direct-related data. It may be given. A mode in which some processing is performed on the customer ID and the servicer ID association care directly related data includes, for example, a mode in which a plurality of customer IDs and a servicer ID association care direct related data are combined to generate data.

Care for customer ID and servicer ID association output The timing to output directly related data is not particularly limited. For example, the customer ID and servicer ID association output care direct related data may be output as a response to the input from the customer, or the customer ID and servicer ID association output care direct related data may be output as a response to the input from the servicer. Alternatively, the customer ID and servicer ID association output care directly related data may be output when a predetermined period has elapsed. The predetermined period is, for example, the number of days elapsed from the date of the previous care.

Customer ID and servicer ID association output care The output destination of directly related data is not particularly limited. For example, when there is an input from a customer, it may be output to the customer or the servicer. For example, when there is an input from the servicer, it may be output to the servicer or may be output to the customer.

In the data processing method according to the embodiment of the present invention, a step of acquiring a plurality of care history data, a step of acquiring a plurality of servicer ID association care directly related data, and generating a customer ID and a servicer ID association care directly related data. The step, the step of generating the care direct-related data for the customer ID and the servicer ID association output, and the step of outputting the generated care direct-related data for the customer ID and the servicer ID association output are, for example, a CPU (Program Processing Unit). Is realized by reading a program stored in a non-volatile memory and executing a predetermined process according to the program.

In the data processing method according to the embodiment of the present invention, the vehicle ID data in each of the plurality of care history data may include data related to the manufacturer of the small vehicle. The plurality of care history data may include the first care history data and the second care history data. The manufacturer of the small vehicle indicated by the vehicle ID data in the first care history data may be different from the manufacturer of the small vehicle indicated by the vehicle ID data in the second care history data.

In the data processing method according to the embodiment of the present invention, the maintenance record data in each of the plurality of care history data may indicate that the number of cares performed is larger than the number of repairs performed.

In the data processing method according to the embodiment of the present invention, the plurality of care history data are further evaluated data which are data related to the evaluation of care by at least one of the client, the owner, or the user, respectively. It may be included.

In such an embodiment, it is possible to acquire an evaluation of the care of a customer who is enthusiastic about the care performed on a small vehicle based on the care history data. Therefore, it is possible to more accurately grasp the reliability of the mechanic who performed the care.

In the data processing method according to the embodiment of the present invention, the maintenance record data in each of the plurality of care history data may further include the care type data related to the care type.

In such an embodiment, information related to the type of care provided by the customer to the small vehicle can be acquired based on the care history data. Therefore, it is possible to more accurately grasp the customer's way of thinking about care.

In the data processing method according to the embodiment of the present invention, the maintenance record data in each of the plurality of care history data may further include the care consideration data which is the data related to the care consideration.

In such an aspect, information related to the consideration for each care of the small vehicle can be acquired based on the care history data. Therefore, it is possible to more accurately grasp the customer's way of thinking about care.

In the data processing method according to the embodiment of the present invention, each of the plurality of care history data further includes customer ID association care indirect related data. The customer ID association care indirect related data is data in which the care indirect related data and the customer ID data are associated with each other by input of the customer. The care indirect related data includes at least one of the mechanic indirect related data, the owner indirect related data, or the store indirect related data. The mechanic indirect related data is data related to the mechanic's actions other than maintenance or the mechanic's appearance (appearance). Owner indirect related data is data related to the owner's actions or the owner's appearance. Store indirect related data is data related to the location, business hours, equipment or appearance of a store.

In such an embodiment, the care history data further includes the customer ID association care indirect related data in which the customer ID data and the care indirect related data are associated with each other by the customer input, so that the influence of the customer's reliability on the servicer is further increased. Care history data reflects a large amount of potential customer preferences.

The data processing method according to the embodiment of the present invention further includes a step of generating customer ID association product service data, a step of generating customer ID association output product service data, and a generated customer ID association output product. It may include a step of outputting service data.

Customer ID association product service data is generated by associating customer ID data with at least a part of product service data based on the product service data and a plurality of acquired care history data. Commodity and service data is data on goods and / or services that are directly related to small vehicles, parts and care used in small vehicles. The customer ID association product service data for output is data for output, and is generated by using the customer ID association product service data.

The data processing method according to the embodiment of the present invention further includes a step of generating servicer ID association product service data, a step of generating servicer ID association output product service data, and a generated servicer ID association output product. It includes a step to output service data.

Servicer ID association product service data is generated by associating the servicer ID data with at least a part of the product service data based on the product service data and a plurality of acquired care history data. Commodity and service data is data on goods and / or services that are directly related to small vehicles, parts and care used in small vehicles. The servicer ID association product service data for output is data for output, and is generated by using the servicer ID association product service data.

The data processing device according to the embodiment of the present invention performs data processing for matching a customer with a product or service. The data processing device includes a care history data acquisition unit, a servicer ID association care direct-related data acquisition unit, a customer ID and servicer ID association care direct-related data generation unit, and a customer ID and servicer ID association output care direct-related data generation unit. It is provided with a unit and a care direct-related data output unit for customer ID and servicer ID association output.

The care history data acquisition department acquires a plurality of care history data. The plurality of care history data are maintenance performed on a small vehicle, which is a one-seater or two-seater vehicle, excluding repair of a failure of the small vehicle and repair of damage. Data related to care history. Each of the plurality of care history data includes customer ID data, servicer ID data, vehicle ID data, and maintenance record data, and the customer ID data, servicer ID data, vehicle ID data, and maintenance record data are associated with each other. This is the data obtained.

Vehicle ID data is data for identifying a small vehicle.

The servicer ID association care direct related data acquisition department acquires a plurality of servicer ID association care direct related data. The plurality of servicer ID association care direct related data is data in which the care direct related data and the servicer ID data are associated with each other. Care direct related data is data directly related to small vehicles, parts used in small vehicles and care.

The customer ID and servicer ID association care direct-related data generation unit is based on the acquired plurality of servicer ID association care direct-related data and the acquired plurality of care history data, and the customer ID data and the servicer ID data. , Customer ID and servicer ID association The care direct association data is generated by associating with at least a part of the care direct association data.

The customer ID and servicer ID association output care direct-related data generation unit uses the generated customer ID and servicer ID association care direct-related data to output the customer ID and servicer ID association output care direct-related data. Generate relevant data.

The customer ID and servicer ID association output care direct related data output unit outputs the generated customer ID and servicer ID association output care direct related data.

According to the above data processing device, it is possible to acquire data that reflects the tastes of potential customers with high versatility while ensuring the degree of freedom in designing hardware resources. The reason is as follows.

The above data processing device uses a plurality of care history data to generate data for output. Here, each of the plurality of care history data includes maintenance record data. Maintenance performance data includes data related to care implementation dates. Care date-related data includes more data with a care date interval of 4 months or less than data with a care date interval greater than 4 months. In other words, the data related to the care implementation date shows that care for small vehicles is frequently implemented.

As mentioned above, care for small vehicles is carried out frequently. Therefore, customers want to keep the cost of caring for small vehicles as low as possible. However, the cost of caring for a small vehicle is not always low. The quality of care for small vehicles is also important in order to maintain its function as a means of transportation and its value as a property. Therefore, customers who frequently request care for small vehicles will sincerely evaluate the servicers who provide care for small vehicles.

Therefore, care history data, including care date-related data indicating that small vehicle care is performed frequently, is data that reflects the versatility of potential customer preferences. .. That is, according to the above-mentioned data processing apparatus, it is possible to acquire data reflecting such highly versatile potential customer preferences.

In addition, the care history data, which is data that reflects the highly versatile potential customer preferences, may be any data that is associated with customer ID data, servicer ID data, vehicle ID data, and maintenance record data. , It is possible to suppress an increase in the types of data that need to be processed. Therefore, according to the above-mentioned data processing apparatus, it is possible to suppress an increase in the hardware resources required for data processing and secure a degree of freedom in designing the hardware resources.

In the data processing apparatus according to the embodiment of the present invention, for care history data acquisition unit, servicer ID association care direct related data acquisition unit, customer ID and servicer ID association care direct related data generation unit, customer ID and servicer ID association output The care direct-related data generation unit and the care direct-related data output unit for customer ID and servicer ID association output, for example, read a program stored in a non-volatile memory by a CPU (Central Processing Unit), and determine according to the program. It is realized by executing the processing of.

In the data processing device according to the embodiment of the present invention, the vehicle ID data in each of the plurality of care history data may include data related to the manufacturer of the small vehicle. The plurality of care history data may include the first care history data and the second care history data. The manufacturer of the small vehicle indicated by the vehicle ID data in the first care history data may be different from the manufacturer of the small vehicle indicated by the vehicle ID data in the second care history data.

In the data processing device according to the embodiment of the present invention, the maintenance record data in each of the plurality of care history data may indicate that the number of cares performed is larger than the number of repairs performed.

In the data processing apparatus according to the embodiment of the present invention, the plurality of care history data are further evaluated data which are data related to the evaluation of care by at least one of the client, the owner, or the user, respectively. It may be included.

In the data processing device according to the embodiment of the present invention, the maintenance record data in each of the plurality of care history data may further include the care type data related to the care type.

In the data processing device according to the embodiment of the present invention, the maintenance record data in each of the plurality of care history data may further include the care consideration data which is the data related to the care consideration.

In the data processing device according to the embodiment of the present invention, each of the plurality of care history data further includes customer ID association care indirect related data. The customer ID association care indirect related data is data in which the care indirect related data and the customer ID data are associated with each other by input of the customer. The care indirect related data includes at least one of the mechanic indirect related data, the owner indirect related data, or the store indirect related data. The mechanic indirect related data is data related to the mechanic's actions other than maintenance or the mechanic's appearance (appearance). Owner indirect related data is data related to the owner's actions or the owner's appearance. Store indirect related data is data related to the location, business hours, equipment or appearance of a store.

The data processing device according to the embodiment of the present invention further includes a customer ID association product service data generation unit that generates customer ID association product service data, and a customer ID association output that generates customer ID association output product service data. A product service data generation unit and a product service data output unit for customer ID association output that outputs the generated product service data for customer ID association output may be provided.

The data processing device according to the embodiment of the present invention further includes a servicer ID association product service data generation unit that generates servicer ID association product service data, and a servicer ID association output unit that generates servicer ID association output product service data. It includes a product service data generation unit and a servicer ID association output product service data output unit that outputs the generated servicer ID association output product service data.

The above-mentioned purpose and other purposes, features, aspects and advantages of the present invention will be further clarified from the following detailed description of the embodiments of the present invention made in connection with the accompanying drawings.

As used herein, the term "and / or (and / or)" includes any or all combinations of one or more related listed items (items).

As used herein, the use of the terms "include, include", "include, comprising" or "having" and variations thereof are described features, steps, operations. , Elements, components and / or their equivalents, but may include one or more of steps, actions, elements, components, and / or groups thereof.

Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

Terms such as those defined in commonly used dictionaries should be construed to have meaning consistent with the relevant technology and in the context of the present disclosure and are expressly defined herein. Unless it is, it will not be interpreted in an ideal or overly formal sense.

It is understood that the description of the present invention discloses the technique and the number of steps. Each of these has its own interests, and each may be used in conjunction with one or more of the other disclosed techniques, or in some cases all. Therefore, for clarity, this description refrains from unnecessarily repeating all possible combinations of individual steps. Nevertheless, the specification and claims should be read with the understanding that all such combinations are within the scope of the present invention and claims.

In the following description, for the purposes of explanation, a number of specific details will be given to provide a complete understanding of the present invention. However, it will be apparent to those skilled in the art that the present invention can be practiced without these particular details. The present disclosure should be considered as an example of the invention and is not intended to limit the invention to the particular embodiments set forth in the drawings or description below.

According to the present invention, it is possible to acquire data that reflects the tastes of potential customers with high versatility while ensuring the degree of freedom in designing hardware resources.

It is a block diagram which shows the data processing apparatus by embodiment of this invention. It is a conceptual diagram which shows the data processing system which includes the data processing server as the data processing apparatus by embodiment of this invention. It is a flowchart which shows the data processing in the data processing system including the data processing server as the data processing apparatus by embodiment of this invention. It is a block diagram which shows the data processing apparatus according to the modification 1 of the Embodiment of this invention. It is a part of the block diagram of the data processing apparatus according to the second modification of the Embodiment of this invention, and is the block diagram concerning the structure added to the data processing apparatus shown in FIG. It is a part of the block diagram of the data processing apparatus according to the third modification of the embodiment of the present invention, and is the block diagram relating to the configuration added to the data processing apparatus shown in FIG.

The present inventors have considered acquiring data that reflects the tastes of potential customers with high versatility while increasing the degree of freedom in designing hardware resources. As a result, we have obtained the following findings.

In analyzing data related to the maintenance of small vehicles, which are one-seater or two-seater vehicles, we find that data that meets certain conditions is a versatile potential customer. I noticed that the taste was reflected.

A small vehicle that is a one-seater or two-seater vehicle is smaller than a vehicle that can accommodate three or more people. Further, a small vehicle, which is a one-seater or two-seater vehicle, is easy to ride and highly convenient, unlike a vehicle capable of occupying three or more people. Therefore, a small vehicle, which is a one-seater or two-seater vehicle, tends to be used more frequently than a vehicle capable of occupying three or more people. As a result, small vehicles, which are one-seater or two-seater vehicles, require high-frequency care, unlike vehicles that can accommodate three or more people.

Here, care is to maintain a small vehicle in good condition, except for repair of a failure of the small vehicle and repair of damage in the maintenance of a small vehicle which is a one-seater or two-seater vehicle. It is an act of. Care should be given frequently on a daily basis. For care, for example, check / replenish tire pressure, adjust brake operator play, check battery status and replenish / replace water, check / replace oil and oil filters, and lights (headlights, tails). Inspection / replacement of lights, direction indicators, etc., inspection / cleaning / replacement of air filters, etc.

Among those who use small vehicles, which are one-seater or two-seater vehicles, as their usual means of transportation, there are those who consider small vehicles not only as a means of transportation but also as a property. Such persons are enthusiastic about care, which is maintenance to keep small vehicles in the best possible condition in order to maintain their function as a means of transportation and their value as property.

As mentioned above, it is preferable to perform care frequently on a daily basis, so it is preferable that the cost required for care is low. Therefore, those who consider a small vehicle, which is a one-seater or two-seater vehicle, not only as a means of transportation but also as a property, should take care of the small vehicle not as a dealer but as a store that mainly provides the above-mentioned care. I often ask.

Here, for those who consider a small vehicle, which is a one-seater or two-seater vehicle, not only as a means of transportation but also as a property, not only the cost required for care but also the quality of care is important. Therefore, the mechanic who cares for the small vehicle and the store to which the mechanic belongs, that is, the servicer who provides the care for the small vehicle, are evaluated more sincerely.

Here, with regard to the above-mentioned care, it is unlikely that there will be a difference in the skills of the mechanics who carry out the care. Therefore, when evaluating things that are unlikely to make such a difference, the reliability of the servicer who provides care is likely to be reflected. The reliability has a great influence on the potential preference of a person who considers a small vehicle, which is a one-seater or two-seater vehicle, not only as a means of transportation but also as a property. In other words, the data related to the sincere evaluation by a person who considers a small vehicle not only as a means of transportation but also as a property is data that reflects the person's potential preference. In other words, the data related to cognition, judgment, and behavior made by a person who considers a small vehicle not only as a means of transportation but also as a property is data that reflects the person's potential taste.

In addition, the potential preference of those who consider a small vehicle, which is a one-seater or two-seater vehicle, not only as a means of transportation but also as a property is greatly influenced by the reliability of the servicer who provides care. Because of this, it is highly versatile. In other words, the data related to the sincere evaluation by a person who considers a small vehicle not only as a means of transportation but also as a property is data that reflects the person's potential taste and is highly versatile. is there. In other words, the data related to cognition, judgment, and behavior made by a person who considers a small vehicle not only as a means of transportation but also as a property is data that reflects the person's potential taste. Moreover, it is highly versatile data.

Such findings were first obtained by the inventors of the present application. The present invention has been completed based on such findings.

Hereinafter, the details of the data processing method and the data processing apparatus according to the embodiment of the present invention will be described with reference to the drawings. The embodiments described below are merely examples. The present invention is not to be construed in any limitation by the embodiments described below.

The data processing device 10 according to the embodiment of the present invention will be described with reference to FIG. FIG. 1 is a block diagram of the data processing device 10.

The data processing device 10 performs data processing for matching a customer with a product or service. The data processing device 10 is, for example, a server.

The customer is not particularly limited as long as it has some relationship with a small vehicle which is a one-seater or two-seater vehicle. The customer may be, for example, a client who has requested care for a small vehicle, or may be an owner or a user (user) of the small vehicle. The customer may be an individual or an organization composed of a plurality of personnel. The organization may include a legal entity (company). The client may or may not be the owner. The client may or may not be the user.

The small vehicle is not particularly limited as long as it has a passenger capacity of 1 or 2 people. In other words, the small vehicle is not particularly limited as long as it is provided with one or two seats for occupants to sit on. For example, the two seats may be arranged side by side in the front-rear direction of the vehicle, or may be arranged side by side in the left-right direction of the vehicle. The small vehicle includes, for example, at least one front wheel and at least one rear wheel. The small vehicle may, for example, be provided with a drive source that generates power transmitted to the wheels, or may not be provided with a drive source that generates power transmitted to the wheels. The drive source may be, for example, an engine, an electric motor, or an engine and an electric motor. If the small vehicle does not have a drive source, the small vehicle is provided, for example, with means for manually rotating the wheels. The means is, for example, a pedal.

The product is not particularly limited as long as it belongs to the servicer's business. Goods are, for example, related to small vehicles. A product is, for example, a part used in a small vehicle.

The service is not particularly limited as long as it belongs to the servicer's business. Services relate, for example, to the care of small vehicles.

The servicer is not particularly limited as long as it provides care. The servicer includes not only the mechanic who performs the care, but also the store to which the mechanic belongs and the owner of the store (that is, the person who employs the mechanic). The store, which is the place where care is provided, may be owned by the owner or may be owned by a third party. The tools and equipment for performing care may be owned by the mechanic, owned by the owner, or leased by a third party. The servicer is not a dealer who sells small vehicles delivered by the manufacturer, that is, new vehicles. The servicer may be in charge of other than the care of the small vehicle as long as the main business is the care of the small vehicle. The business may be, for example, repair of a small vehicle, or purchase or sale of a used vehicle. For example, the number of mechanics belonging to a store as a servicer is three or less. There are more such stores than dealers.

Care is the act of maintaining equipment and parts in good condition, except for repairs that are repairs of failures and damages. Care includes inspection of equipment and parts. Therefore, the care provided for small vehicles refers to the parts used for small vehicles, except for repairs that are repairs for breakdowns and damages of small vehicles, among the maintenance performed for small vehicles. It is an act to keep the condition in good condition. Care for small vehicles includes inspection of parts used in small vehicles. Care is preferably performed on a daily basis, for example. Care includes, for example, tire pressure inspection / replenishment, brake operator play inspection / adjustment, battery inspection / replacement, coolant inspection / replenishment / replacement, oil and oil filter inspection / replacement, and lighting equipment (lighting equipment). Inspection / replacement of headlights, taillights, turn signals, etc., inspection / cleaning / replacement of air filters, etc. Since such care is performed on a daily basis, it is inexpensive but frequent.

A failure is a state in which a device or part loses its specified function, that is, a device or part does not work normally. Therefore, a failure of a small vehicle is a state in which it becomes difficult for the small vehicle to travel because parts and the like constituting the small vehicle lose their prescribed functions. The state in which the small vehicle becomes difficult to run includes, for example, a state in which the small vehicle cannot run and a state in which the small vehicle cannot run straight.

Damage is a state in which equipment or parts are physically damaged. Therefore, damage to a small vehicle is a state in which parts and the like constituting the small vehicle are physically damaged.

The data processing for matching the customer with the product or service is not particularly limited as long as it generates the data used for matching the customer with the product or service. The data used to match a customer with a product or service may be, for example, directly used to match a customer with a product or service, or to match a customer with a product or service. It may be used indirectly.

Data includes not only pure data but also formulas, maps, comparators, standards, etc.

The data processing device 10 includes a care history data acquisition unit 11, a servicer ID association care direct-related data acquisition unit 12, a customer ID and servicer ID association care direct-related data generation unit 13, and a customer ID and servicer ID association output care. A direct-related data generation unit 14 and a care direct-related data output unit 15 for customer ID and servicer ID association output are provided. Care history data acquisition unit 11, servicer ID association care direct-related data acquisition unit 12, customer ID and servicer ID association care direct-related data generation unit 13, customer ID and servicer ID association output care direct-related data generation unit 14, and The care direct-related data output unit 15 for customer ID and servicer ID association output reads, for example, a program stored in a non-volatile memory by a CPU (Central Processing Unit) and executes a predetermined process according to the program. It will be realized.

The care history data acquisition unit 11 acquires a plurality of care history data D1s. That is, the care history data acquisition unit 11 implements a step of acquiring a plurality of care history data D1s.

The plurality of care history data D1 is the maintenance performed on the small vehicle, which is a one-seater or two-seater vehicle, except for the repair of the failure of the small vehicle and the repair of the damage. Data related to a certain care history. The plurality of care history data D1 includes customer ID data D2, servicer ID data D3, vehicle ID data D4, and maintenance record data D5, respectively, and also includes customer ID data D2, servicer ID data D3, and vehicle ID. The data D4 and the maintenance record data D5 are associated with each other.

The care history data D1 is not particularly limited as long as it is data related to the history of care performed on a small vehicle. The care history data D1 may directly indicate the care history or may indirectly indicate the care history. The care history includes a history of purchasing parts used in performing care. The care history may be, for example, a time-series arrangement of all the maintenance performed regardless of the type of maintenance, or a time-series arrangement for each type of maintenance performed. You may. That is, the care history data D1 may include data related to the history of repairs performed on the small vehicle in addition to data related to the history of care performed on the small vehicle.

The care history data D1 is not particularly limited as long as the customer ID data D2, the servicer ID data D3, the vehicle ID data D4, and the maintenance record data D5 are associated with each other. In the mode in which the customer ID data D2, the servicer ID data D3, the vehicle ID data D4, and the maintenance record data D5 are associated, for example, the customer ID data D2, the servicer ID data D3, the vehicle ID data D4, and the maintenance record data D5 are the same terminals. The mode in which the customer ID data D2, the servicer ID data D3, the vehicle ID data D4, and the maintenance record data D5 are input by the same person is included. Whether or not the data is input from the same terminal may be checked, for example, by checking the identification code or the like assigned to the terminal. Whether or not the data was input by the same person may be confirmed, for example, by checking the identification code or the like given to the person. The care history data D1 may be input by one input operation or may be input by a plurality of input operations. The second and subsequent input operations may be an operation of inputting additional information or an operation of rewriting the already input information.

The care history data D1 may further include evaluation data which is data related to the evaluation of care by at least one of the client, the owner, or the user.

The mode in which the care history data acquisition unit 11 acquires the care history data D1 is not particularly limited. For example, the data processing device 10 acquires the care history data D1 by storing the care history data D1 transmitted from the outside of the data processing device 10 in a non-volatile memory (for example, HDD) included in the data processing device 10. Alternatively, the care history data D1 may be acquired by storing the care history data D1 transmitted from the outside of the data processing device 10 in the volatile memory (for example, RAM) included in the data processing device 10. May be good. Here, the non-volatile memory is a memory that can hold the memory even if power is not supplied. Further, the volatile memory is a memory that cannot hold the memory when power is not supplied. The care history data D1 stored in the volatile memory is stored in the non-volatile memory included in the data processing device 10 at an appropriate timing.

Customer ID data D2 is data for identifying a customer. The customer ID data D2 may directly identify the customer or indirectly identify the customer. The customer ID data D2 may include at least one of the requester ID data D21, the owner ID data D22, or the user ID data D23.

Requester ID data D21 is data for identifying the requester who requested care. The requester ID data D21 may directly identify the requester or indirectly specify the requester.

Owner ID data D22 is data for identifying the owner of a small vehicle. The owner ID data D22 may directly identify the owner or indirectly identify the owner.

User ID data D23 is data for identifying a user of a small vehicle. The user ID data D23 may directly identify the user or indirectly identify the user.

The customer ID data D2 may be acquired, for example, based on the information input by the customer, may be acquired based on the information input by the mechanic who performed the care, or the owner of the store where the care was performed. It may be acquired based on the information entered by.

For example, the customer may input all the information for identifying the customer, the mechanic or the owner may input all the information, or the mechanic or the owner may input the information in addition to the customer input. When inputting the information for identifying the customer, for example, a mobile terminal owned by the customer may be used, or a terminal owned by a mechanic or the owner may be used. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

The information for identifying the customer is, for example, the personal information of the customer. The customer's personal information includes, for example, the information contained in an identification card owned by the customer or a certificate issued by a public institution. The personal information of the customer may be a single piece of information or a plurality of pieces of information. The customer's personal information may be, for example, the customer's name, the customer's address or whereabouts, the customer's telephone number, or the customer's email address. .. The customer's telephone number may be a landline telephone number or a mobile phone telephone number.

When the customer ID data D2 includes information for identifying the requester, the information for identifying the requester may include, for example, information indicating the relationship with the owner or user of the small vehicle. When the customer ID data D2 includes information for identifying the owner, the information for identifying the owner may include, for example, information indicating a relationship with the user of the small vehicle. When the customer ID data D2 includes information for identifying the user, the information for identifying the user may include, for example, information indicating a relationship with the owner of the small vehicle.

Servicer ID data D3 is data for identifying a servicer who provides care. The servicer ID data D3 may directly identify the servicer or indirectly identify the servicer.

The servicer ID data D3 may include at least one of the mechanic ID data D31, the owner ID data D32, or the store ID data D33.

The mechanic ID data D31 is data for identifying the mechanic who has performed care for a small vehicle. The mechanic ID data D31 may directly identify the mechanic or indirectly identify the mechanic.

Owner ID data D32 is data for identifying the owner of a store that has taken care of a small vehicle. The owner ID data D32 may directly identify the owner or indirectly identify the owner.

The store ID data D33 is data for identifying the store that provided care for the small vehicle. The store ID data D33 may directly identify the store or indirectly identify the store.

The servicer ID data D3 is acquired based on, for example, the information input by the servicer. Specifically, the servicer ID data D3 may be acquired based on the information input by the mechanic who performed the care, or the servicer ID data D3 may be acquired based on the information input by the owner of the store where the care was performed. You may.

When inputting information for identifying a servicer, for example, a terminal owned by the servicer is used. The terminal owned by the servicer may be, for example, a terminal owned by the mechanic who provided the care, or a terminal owned by the owner of the store that provided the care. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

The information for identifying the servicer is, for example, the personal information of the servicer. The personal information of the servicer includes, for example, the information contained in the identification card owned by the servicer or the certificate issued by a public institution. The personal information of the servicer may be a single piece of information or a plurality of pieces of information. The personal information of the servicer may be, for example, the name or name of the servicer, the address, whereabouts, or location of the servicer, the telephone number of the servicer, or the email address of the servicer. There may be. The servicer's telephone number may be a landline telephone number or a mobile phone telephone number.

Vehicle ID data D4 is data for identifying a small vehicle based on information other than the owner or user of the small vehicle. The vehicle ID data D4 may directly identify a small vehicle or may indirectly identify a small vehicle. The information that directly identifies the small vehicle is, for example, information given by the manufacturer of the small vehicle or information given by a public institution. Information that indirectly identifies a small vehicle is, for example, the model and model year of the small vehicle.

The vehicle ID data D4 may be acquired, for example, based on the information input by the customer, may be acquired based on the information input by the mechanic who performed the care, or the owner of the store where the care was performed. It may be acquired based on the information entered by.

When inputting information for identifying a small vehicle, for example, a mobile terminal owned by a customer may be used, or a terminal owned by a mechanic or an owner may be used. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

The information for identifying a small vehicle is, for example, information unique to a small vehicle. The information specific to the small vehicle may be, for example, information given by the manufacturer of the small vehicle, or information given by a public institution.

The vehicle ID data D4 may include the manufacturer data D41, which is data related to the manufacturer of the small vehicle. The manufacturer indicated by the vehicle ID data D4 (specifically, the manufacturer data D41) in any two care history data D1 (first care history data and second care history data) among the plurality of care history data D1 is , May be different from each other.

Maintenance record data D5 is data related to maintenance record. The maintenance record data D5 is not particularly limited as long as it shows a record of maintenance that has already been performed. The maintenance performance data may include, for example, information related to the content of care performed. The contents of the care provided include, for example, the type of care provided, the price of the care provided, the parts purchased in connection with the implementation of the care, the price of the purchased parts, and the like.

The maintenance record data D5 may be acquired, for example, based on the information input by the mechanic who performed the care, or may be acquired based on the information input by the owner of the store where the care was performed. When inputting information related to the maintenance results, for example, a terminal owned by the mechanic may be used, or a terminal owned by the owner may be used. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

Maintenance record data D5 includes care implementation date related data D51. The care implementation date-related data D51 is data related to the care implementation date of the small vehicle. The care implementation date-related data D51 may directly specify the care implementation date, or may indirectly specify the care implementation date. The information that indirectly identifies the care implementation date is, for example, the number of days elapsed since the previous care implementation date.

Care implementation date-related data D51 includes more data in which the interval between care implementation dates is 4 months or less than data in which the interval between care implementation dates is greater than 4 months. The care implementation date-related data D51 may not include data having a care implementation date interval greater than 4 months at all, or may include data having a care implementation date interval greater than 4 months.

The maintenance record data D5 may indicate that the number of times care is performed is greater than the number of times repairs are performed. The maintenance performance data D5 may further include care type data D52 related to the type of care. The maintenance performance data D5 may further include the care consideration data D53, which is data related to the care consideration.

The servicer ID association care direct related data acquisition unit 12 acquires a plurality of servicer ID association care direct related data D6. That is, the servicer ID association care direct-related data acquisition unit 11 carries out the step of acquiring a plurality of servicer ID association care direct-related data D6.

The plurality of servicer ID-related data D6 is data in which the care-direct-related data D7 and the servicer ID data D3 are associated with each other. The servicer ID association care direct association data D6 indicates, for example, products or services that can be provided by the servicer specified by the servicer ID data D3 and related to the care of a small vehicle.

Examples of the mode in which the care direct-related data D7 and the servicer ID data D3 are associated include, for example, a mode in which the care direct-related data D7 and the servicer ID data D3 are input from the same terminal, or the care direct-related data D7 and the servicer ID data. There is a mode in which D3 is input by the same person. Whether or not the data is input from the same terminal may be checked, for example, by checking the identification code or the like assigned to the terminal. Whether or not the data was input by the same person may be confirmed, for example, by checking the identification code or the like given to the person. The care direct association data D7 and the servicer ID data D3 are associated, for example, by inputting the servicer.

The servicer ID association care direct-related data D6 may be input by one input operation or may be input by a plurality of input operations. The second and subsequent input operations may be an operation of inputting additional information or an operation of rewriting the already input information.

The servicer ID data D3 associated with the care direct related data D7 does not have to be included in the care history data D1.

Care direct related data D7 is data directly related to the care of small vehicles. "Directly related to the care of a small vehicle" is a concept that includes not only the care of the small vehicle itself but also the parts used for the small vehicle and the small vehicle to which the care is performed. Parts used in small vehicles include oil and consumables. The parts used in the small vehicle may be genuine parts or compatible parts. The care direct-related data D7 may be input using, for example, a terminal owned by the mechanic, or may be input using a terminal owned by the owner. The terminal owned by the mechanic or the owner may be, for example, a mobile terminal or a terminal in which a store is installed.

The mode in which the servicer ID association care direct-related data acquisition unit 12 acquires the servicer ID-association care direct-related data D6 is not particularly limited. For example, the data processing device 10 stores the servicer ID association care directly related data D6 transmitted from the outside of the data processing device 10 in the non-volatile memory (for example, HDD) included in the data processing device 10 to store the servicer ID. The association care direct related data D6 may be acquired, or the servicer ID association care direct related data D6 transmitted from the outside of the data processing device 10 may be stored in the volatile memory (for example, RAM) included in the data processing device 10. By doing so, care history data D1 may be acquired. Here, the non-volatile memory is a memory that can hold the memory even if power is not supplied. Further, the volatile memory is a memory that cannot hold the memory when power is not supplied. The servicer ID association care direct-related data D6 stored in the volatile memory is stored in the non-volatile memory included in the data processing device 10 at an appropriate timing.

The customer ID and servicer ID association care direct-related data generation unit 13 receives the customer ID data D2 and the customer ID data D2 based on the acquired plurality of servicer ID association care direct-related data D6 and the acquired plurality of care history data D1. By associating the servicer ID data D3 with at least a part of the care direct related data D7, the customer ID and the servicer ID associated care direct related data are generated. That is, the customer ID data D21 is based on the plurality of servicer ID association care direct related data D6 acquired by the customer ID and servicer ID association care direct related data generation unit 13 and the acquired plurality of care history data D1. And, by associating the servicer ID data D3 with at least a part of the data directly related to the care D7, a step of generating the customer ID and the directly related care to the servicer ID is carried out. The servicer ID data D3 is data included in the servicer ID association care direct-related data D6.

The mode in which the customer ID and servicer ID association care direct-related data generation unit 13 generates the customer ID and servicer ID association care direct-related data D8 is, for example, as follows. The embodiments described below are merely examples. Therefore, the mode in which the customer ID and servicer ID association care direct-related data generation unit 13 generates the customer ID and servicer ID-association care direct-related data D8 is not limited to the mode described below.

When the customer ID and servicer ID association care direct association data generation unit 13 generates the customer ID and servicer ID association care direct association data D8, the acquired plurality of servicer ID association care direct association data D6 and the acquired data D6 are acquired. A plurality of care history data D1s are used as input data. The output data is customer ID and servicer ID association care direct association data D8. For example, a machine learning algorithm is used when associating the customer ID data D21, the servicer ID data D3, and at least a part of the data directly related to care D7.

The customer ID and servicer ID association care direct related data generation unit 13 receives the customer ID data D21 and the customer ID data D21 based on the acquired plurality of servicer ID association care direct related data D6 and the acquired plurality of care history data D1. When associating the servicer ID data D3 with at least a part of the data directly related to care D7, for example, a recommender system, which is a kind of information filtering technique, may be used. For example, a machine learning algorithm is used as a recommender system. An algorithm used in a recommender system is, for example, a nearest neighbor search.

The customer ID and servicer ID association care direct-related data generation unit 13 receives the customer ID data D21 and the customer ID data D21 based on the acquired plurality of servicer ID association care direct-related data D6 and the acquired plurality of care history data D1. Data mining may be used, for example, when associating the servicer ID data D3 with at least a portion of the care direct related data D7. Data mining is a technology for extracting knowledge by comprehensively applying data analysis techniques such as statistics, pattern recognition, and artificial intelligence to a large amount of data. For data mining, for example, a machine learning algorithm is used.

The customer ID and servicer ID association care direct-related data generation unit 13 receives the customer ID data D21 and the customer ID data D21 based on the acquired plurality of servicer ID association care direct-related data D6 and the acquired plurality of care history data D1. The timing of associating the servicer ID data D3 with at least a part of the data directly related to care D7 is not particularly limited. For example, the input from the customer may be the trigger, the input from the servicer may be the trigger, or the elapse of a predetermined period may be the trigger. The predetermined period is, for example, the number of days elapsed from the date of the previous care.

The care direct-related data generation unit 14 for customer ID and servicer ID association output output uses the generated customer ID and servicer ID association care direct-related data D8 to output the customer ID and servicer ID association data. Generate care direct related data D9. That is, the customer ID and servicer ID association data D8 generated by the customer ID and servicer ID association output care direct association data generation unit 14 is used to output the customer ID and servicer ID association. A step is performed to generate output care directly related data D9.

The care direct-related data D9 for customer ID and servicer ID association output may be, for example, the customer ID and servicer ID association care direct-related data D8 itself, or the customer ID and servicer ID association care direct-related data D8. It may be processed in some way. The mode of applying some processing to the customer ID and the servicer ID association care direct related data D8 includes, for example, a mode of generating data in which a plurality of customer IDs and the servicer ID association care direct related data D8 are put together.

The customer ID and servicer ID association output care direct related data output unit 15 outputs the generated customer ID and servicer ID association output care direct related data D9. That is, the step of outputting the generated customer ID and servicer ID association output care direct related data D9 is performed by the customer ID and servicer ID association output care direct related data output unit 15.

The timing at which the customer ID and servicer ID association output care direct-related data output unit 15 outputs the customer ID and servicer ID association output care direct-related data D9 is not particularly limited. For example, the customer ID and servicer ID association output care direct related data D9 may be output as a response to the input from the customer, or the customer ID and servicer ID association output care direct related data D9 may be output as a response to the input from the servicer. May be output, or the customer ID and servicer ID association output care direct-related data D9 may be output when a predetermined period has elapsed. The predetermined period is, for example, the number of days elapsed from the date of the previous care.

The output destination of the care directly related data D9 for customer ID and servicer ID association output is not particularly limited. For example, when there is an input from a customer, it may be output to the customer or the servicer. For example, when there is an input from the servicer, it may be output to the servicer or may be output to the customer.

According to the data processing device 10, it is possible to acquire data that reflects the tastes of potential customers with high versatility while ensuring the degree of freedom in designing hardware resources. The reason is as follows.

The data processing device 10 uses a plurality of care history data D1s to generate data for output. Here, each of the plurality of care history data D1 includes maintenance record data D5. The maintenance record data D5 includes the care implementation date related data D51. Care date-related data D51 includes more data with a care date interval of 4 months or less than data with a care date interval greater than 4 months. That is, the care implementation date-related data D51 indicates that care for small vehicles is frequently implemented.

Therefore, the care history data D1 including the care date-related data D51 indicating that the care of the small vehicle is frequently performed is the data reflecting the highly versatile potential customer preference. Is. That is, according to the data processing device 10, it is possible to acquire data that reflects such highly versatile potential customer preferences.

Further, the care history data D1, which is data reflecting the highly versatile potential customer preference, is data in which the customer ID data D2, the servicer ID data D3, the vehicle ID data D4, and the maintenance record data D5 are associated with each other. Therefore, it is possible to suppress an increase in the types of data that need to be processed. Therefore, according to the data processing device 10, it is possible to suppress an increase in the hardware resources required for data processing and secure a degree of freedom in designing the hardware resources.

(Specific example of the embodiment)
A specific example of the embodiment of the present invention will be described with reference to FIG. FIG. 2 is a conceptual diagram showing a data processing system 100 including a data processing server 10A as a data processing apparatus according to an embodiment of the present invention. Since the data processing server 10A has the same configuration as the data processing device 10 shown in FIG. 1, detailed description thereof will be omitted.

The data processing system 100 includes a terminal 20A used by the customer and a terminal 20B used by the servicer, in addition to the data processing server 10A. The terminal 20A and the terminal 20B are each connected to the data processing server 10A via the Internet. A dedicated application is installed on each of the terminal 20A and the terminal 20B. By using the application, the care history data D1 and the servicer ID association care direct related data D6 are input to the data processing server 10A. As a result, the data processing server 10A can acquire the care history data D1 and the servicer ID association care direct related data D6. Note that FIG. 2 shows only one terminal 20A used by the customer and one terminal 20B used by the servicer for convenience.

The data processing in the data processing system 100 will be described with reference to FIG. FIG. 3 is a flowchart showing data processing in the data processing system 100.

In the data processing system 100, the data processing server 10A always carries out a step of acquiring the care history data D1 and a step of acquiring the servicer ID association care direct related data D6.

The terminal 20A used by the customer accepts the customer's operation in step S11. The customer operation is the input of the search condition in the example shown in FIG. The search condition is input using the application installed on the terminal 20A used by the customer. In the example shown in FIG. 3, the search condition is "clean servicer".

The search conditions are, for example, "servicer name (for example, store name)", "small vehicle manufacturer", "coupon availability", "type of care provided by the servicer", and "servicer". Location (Region) ”,“ Servicer Equipment ”,“ Reservable Servicer ”,“ Servicer Business Hours ”,“ Servicer Rating ”,“ Servicer Peripheral Information ”,“ Servicer Around Your Current Location ”,“ Servicer It may be "parts (stock) owned by the servicer", "price of care provided by the servicer", "favorite servicer", "presence or absence of campaign", "servicer atmosphere", "servicer performance", and the like.

The terminal 20A used by the customer transmits the search condition input in step S11 to the data processing server 10A in step S12.

The data processing server 10A receives the search condition from the terminal 20A used by the customer in step S21.

The data processing server 10A generates data related to the input data by using the received search condition as the input data in step S22. In the example shown in FIG. 3, the generated data is related to a "clean servicer". The generated data corresponds to the customer ID and the servicer ID association care direct-related data D8.

In step S23, the data processing server 10A uses the data generated in step S22 to generate data for output. The generated data corresponds to the customer ID and servicer ID association output care direct association data D9.

In step S24, the data processing server 10A transmits the data generated in step 23 to the terminal 20A used by the customer.

The terminal 20A used by the customer receives the data from the data processing server 10A in step S13. The received data is displayed using the application installed on the terminal 20A used by the customer. In the example shown in FIG. 3, the content displayed on the terminal 20A used by the customer is a list of "clean servicers". The determination of whether a servicer is clean is made, for example, based on a comparison with a servicer who has provided care so far.

The terminal 20A used by the customer makes a care reservation to the servicer in step S14. The servicer who reserves care is determined by the customer based on the data received in step S13. The customer decides the appointment time for care.

The terminal 20B used by the servicer accepts a reservation from a customer in step S31.

When the servicer accepts a reservation from a customer, for example, the terminal 20A used by the customer displays that the care reservation has been accepted and the care reservation time.

In the above specific example, an example of inputting "clean servicer" as a search condition was explained. For example, when the waiting time until the servicer performs care is input as a search condition, the waiting time may be displayed on the terminal 20A used by the customer.

(Modification 1 of the embodiment)
A modified example 1 of the embodiment will be described with reference to FIG. FIG. 4 is a block diagram of the data processing device 101 according to the first modification of the embodiment.

The data processing device 101 is different from the data processing device 10 in the care history data D1 to be acquired. The care history data acquired by the data processing device 101 further includes customer ID association care indirect association data D10. The customer ID association care indirect related data D10 is data in which the care indirect related data D11 and the customer ID data D2 are associated with each other by input of the customer. The care indirect related data D11 includes at least one of the mechanic indirect related data D111, the owner indirect related data D112, or the store indirect related data D113. The mechanic indirect related data D111 is data related to the mechanic's actions other than maintenance or the mechanic's appearance (appearance). The owner indirect related data D112 is data related to the behavior of the owner or the appearance of the owner (appearance). The store indirect related data D113 is data related to the location, business hours, equipment or appearance of the store.

The mode in which the customer ID data D2 and the care indirect related data D11 are associated with each other by the customer's input includes, for example, a mode in which the customer ID data D2 and the care indirect related data D11 are input from the same terminal, or a customer. The mode in which the ID data D2 and the care indirect related data D11 are input by the same person is included. Whether or not the data is input from the same terminal may be checked, for example, by checking the identification code or the like assigned to the terminal. Whether or not the data was input by the same person may be confirmed, for example, by checking the identification code or the like given to the person.

The customer ID data D2 and the care indirect related data D11 are acquired based on, for example, the information input by the customer. When the customer inputs information, for example, a mobile terminal owned by the customer is used. The actions of the mechanic and the owner include, for example, the customer service attitude of the mechanic and the owner. The appearance of the mechanic or owner includes, for example, the clothing of the mechanic or owner.

In such a modification 1, since the care history data D1 further includes the customer ID association care indirect related data D10 in which the customer ID data D2 and the care indirect related data D11 are associated with each other by the customer's input, the customer with respect to the servicer Care history data D1 reflects potential customer preferences that are more affected by reliability.

(Modification 2 of the embodiment)
A modified example 2 of the embodiment will be described with reference to FIG. FIG. 5 is a part of the block diagram of the data processing apparatus according to the second modification of the embodiment, and is a block diagram relating to the configuration added to the data processing apparatus 10 shown in FIG.

The data processing device according to the second modification further includes a customer ID association product service data generation unit 31 that generates customer ID association product service data D12, and a customer ID association output product that generates customer ID association output product service data D13. It includes a service data generation unit 32 and a customer ID association output product service data output unit 33 that outputs the generated customer ID association output product service data D13.

The customer ID association product service data D12 is generated by associating the customer ID data D2 with at least a part of the data of the product service data D14 based on the product service data D14 and the acquired plurality of care history data D1. Will be done. The goods and services data D14 is data on goods and / or services that are directly related to the small vehicle, parts and care used in the small vehicle. The customer ID association product service data D13 is data for output, and is generated by using the customer ID association product service data D12.

In the second modification, for example, when a customer orders a part (included in the product service data D14) used for a small vehicle using a terminal application, data corresponding to the customer-associated product service data D12 is generated. Will be done. The data shows information about the parts ordered by the customer. Data related to the parts ordered by the customer (corresponding to the customer ID association output product service data D13) is transmitted to the customer.

In the second modification, for example, when a customer requests an assessment of a small vehicle (included in the product service data D14) using a terminal application, data corresponding to the customer ID-associated product service data D12 is generated. .. The data provides information about small vehicles that customers want to assess. The data related to the small vehicle (corresponding to the customer ID association output product service data D13) that the customer wants to be assessed is transmitted to the person who assesses the small vehicle.

(Modification 3 of the embodiment)
A modified example 3 of the embodiment will be described with reference to FIG. FIG. 6 is a part of the block diagram of the data processing apparatus according to the third modification of the embodiment, and is a block diagram relating to the configuration added to the data processing apparatus 10 shown in FIG.

The data processing device according to the third modification further includes a servicer ID association product service data generation unit 41 that generates the servicer ID association product service data D15, and a servicer ID association output product that generates the servicer ID association output product service data D16. It includes a service data generation unit 42 and a servicer ID association output product service data output unit 43 that outputs the generated servicer ID association output product service data D16.

The servicer ID association product service data D15 is generated by associating the servicer ID data D3 with at least a part of the data of the product service data D14 based on the product service data D14 and the acquired plurality of care history data D1. Will be done. The goods and services data D14 is data on goods and / or services that are directly related to the small vehicle, parts and care used in the small vehicle. The servicer ID association product service data D16 is data for output, and is generated by using the servicer ID association product service data D15.

In the third modification, for example, when the servicer orders a part (included in the product service data D14) used for a small vehicle using the terminal application, the data corresponding to the servicer ID-associated product service data D15 is obtained. Will be generated. The data shows information about the parts ordered by the servicer. The data related to the parts ordered by the servicer (corresponding to the product service data D16 for the servicer ID association output) is transmitted to the servicer.

In the third modification, for example, when the servicer searches for a customer using the terminal application, data corresponding to the servicer ID-related product service data D15 is generated. The data shows information about customers who plan to care for small vehicles (included in product service data D14). The information includes information about the customer's small vehicle (included in the product service data D14). The data about the customer that the servicer is looking for (corresponding to the product service data D16 for the servicer ID association output) is transmitted to the servicer.

In the third modification, for example, when the servicer requests the assessment of a small vehicle (included in the product service data D14) using the terminal application, the data corresponding to the servicer ID-associated product service data D15 is generated. .. The data provides information about small vehicles that the servicer wants to assess. The data related to the small vehicle (corresponding to the servicer ID association output product service data D16) that the servicer wants to assess is transmitted to the person who assesses the small vehicle.

In the third modification, for example, when the servicer searches for a customer using the terminal application, data corresponding to the servicer ID-related product service data D15 is generated. The data shows information about employees of a company planning to care for small vehicles (included in product service data D14). The data about the customer that the servicer is looking for (corresponding to the product service data D16 for the servicer ID association output) is transmitted to the servicer. The servicer provides care for employees' small vehicles, for example, in a bicycle parking lot of a company.

In the third modification, for example, when a mechanic who is a servicer acquires a skill of caring for a small vehicle (included in the product service data D14) using a terminal application, it corresponds to the servicer ID-related product service data D15. Data is generated. The data provide information for acquiring small vehicle care skills. Data related to skill acquisition of care for small vehicles (corresponding to product service data D16 for output of servicer ID association) is transmitted to a mechanic who is a servicer.

In the third modification, for example, when the servicer orders a part used for a small vehicle (for example, oil included in the product service data D14) using the terminal application, it corresponds to the servicer ID-related product service data D15. Data is generated. The data shows information about the parts ordered by the servicer (eg, the oil contained in the goods service data D14). The data related to the parts ordered by the servicer (corresponding to the product service data D16 for the servicer ID association output) is transmitted to the servicer.

In the third modification, for example, when the servicer orders parts used for a small vehicle (for example, generic parts and universal parts included in the product service data D14) using the terminal application, the servicer ID-related product service Data corresponding to data D15 is generated. The data indicates information about parts ordered by the servicer (for example, generic parts and universal parts included in the product service data D14). The data related to the parts ordered by the servicer (corresponding to the product service data D16 for the servicer ID association output) is transmitted to the servicer. In addition, generic parts have the same quality as genuine parts and are cheaper than genuine parts. Universal parts are general-purpose products that can be commonly used in a plurality of small vehicles.

(Other embodiments)
The embodiments and variations in which at least one of the description and the illustration is made in the present specification are for facilitating the understanding of the present disclosure and do not limit the idea of the present disclosure. The above embodiments and modifications can be changed or improved without departing from the spirit of the present invention.

Such gist is an equal element, modification, deletion, combination (eg, combination of features across embodiments and variants), improvement, modification that can be recognized by those skilled in the art based on the embodiments disclosed herein. Including. The limitations of the claims should be broadly construed based on the terminology used in the claims and are limited to the embodiments and variations described herein or in the process of the present application. Should not be done. Such embodiments and variations should be construed as non-exclusive. For example, in the present specification, the terms "preferably" and "good" are non-exclusive and are "preferable but not limited to" and "good but not limited thereto". It means "no".

10 Data processing device 101 Data processing device 10A Data processing server 11 Care history data acquisition unit 12 Servicer ID association care Directly related data acquisition unit 13 Customer ID and servicer ID association care Directly related data generation unit 14 Customer ID and servicer ID association output Care direct-related data generation unit 15 Customer ID and servicer ID association output care direct-related data output unit 20A Terminal used by customer 20B Terminal used by servicer 31 Customer ID association product Service data generation unit 32 Customer ID association output product service Data generation unit 33 Customer ID association output product service data output unit 41 Servicer ID association product service data generation unit 42 Servicer ID association output product service data generation unit 43 Servicer ID association output product service data output unit 100 Data processing system

Claims

In a data processing method for matching a customer with a product or service
It is a step to acquire multiple care history data,
The plurality of care history data are the maintenance performed on the small vehicle which is a one-seater or two-seater vehicle, except for the repair which is the repair of the failure and the repair of the damage of the small vehicle. Requester ID data, which is data related to the history of care, which is data for identifying the requester who requested the care, and owner ID, which is data for identifying the owner of the small vehicle. The customer ID data, which includes at least one of the data or the user ID data which is the data for identifying the user of the small vehicle and is the data for identifying the customer, and the mechanic who performed the care. Identify the mechanic ID data that is the data for identification, the owner ID data that is the data for identifying the owner of the store to which the mechanic who performed the care belongs, or the store to which the mechanic who performed the care belongs. Servicer ID data, which includes at least one of store ID data, which is data for specifying the care, and vehicle ID data, which is data for identifying the small vehicle, and vehicle ID data, which is data for identifying the small vehicle. The care implementation date-related data, which is data related to the maintenance performance and is data related to the care implementation date, includes the care implementation date-related data in which the interval between the care implementation dates is 4 months or less. The maintenance record data including the data in which the interval between the care implementation dates is larger than 4 months is included, and the customer ID data, the servicer ID data, the vehicle ID data, and the maintenance record are included. The step of acquiring the plurality of care history data, which is the data to which the data is associated, and
It is a step of acquiring a plurality of servicer ID association care direct related data, and the plurality of servicer ID association care direct related data are the care direct related data which is the data directly related to the care and the said said, respectively. The step of acquiring the plurality of servicer ID association care directly related data, which is the data associated with the servicer ID data, and
The customer ID data, the servicer ID data, and at least a part of the care direct-related data based on the acquired plurality of servicer ID-related care direct-related data and the acquired plurality of care history data. To generate customer ID and servicer ID association care directly related data by associating with the data of
Using the generated customer ID and servicer ID association care direct related data, a step of generating customer ID and servicer ID association output care direct related data which is data for output, and
The step of outputting the care directly related data for the generated customer ID and servicer ID association output, and
A data processing method comprising.
The data processing method according to claim 1.
The vehicle ID data in each of the plurality of care history data includes data related to the manufacturer of the small vehicle.
The plurality of care history data includes a first care history data and a second care history data.
A data processing method in which the manufacturer of the small vehicle indicated by the vehicle ID data in the first care history data is different from the manufacturer of the small vehicle indicated by the vehicle ID data in the second care history data.
The data processing method according to claim 1 or 2.
The maintenance record data in each of the plurality of care history data indicates that the number of times the care is performed is larger than the number of times the repair is performed, a data processing method.
The data processing method according to any one of claims 1 to 3.
A data processing method, wherein each of the plurality of care history data further includes evaluation data which is data related to evaluation of the care by at least one of the client, the owner, or the user.
The data processing method according to any one of claims 1 to 4.
A data processing method in which the maintenance record data in each of the plurality of care history data further includes care type data related to the care type.
The data processing method according to any one of claims 1 to 5.
A data processing method in which the maintenance record data in each of the plurality of care history data further includes care consideration data which is data related to the care consideration.
The data processing method according to any one of claims 1 to 6.
The plurality of care history data can be used for mechanic indirect related data, which is data related to the mechanic's actions other than the maintenance or the mechanic's appearance (appearance), the owner's actions, or the owner's appearance (appearance), respectively. It includes at least one of the owner indirect related data which is related data or the store indirect related data which is data related to the location, business hours, equipment or appearance of the store and is indirectly related to the care. A data processing method in which the care indirect related data which is the data to be performed and the customer ID data further include the customer ID association care indirect related data which is the data associated with the input of the customer.
The data processing method according to any one of claims 1 to 7, further
The small vehicle, the parts used in the small vehicle, the product service data which is the data of the product and / or the service directly related to the care, and the acquired plurality of care history data. Based on the step of generating the customer ID-associated product / service data by associating the customer ID data with at least a part of the product / service data.
Using the generated customer ID association product service data, a step of generating customer ID association output product service data, which is data for output, and
The step of outputting the generated product / service data for customer ID association output and
A data processing method comprising.
The data processing method according to any one of claims 1 to 8.
The small vehicle, the parts used in the small vehicle, the product service data which is the data of the product and / or the service directly related to the care, and the acquired plurality of care history data. Based on the step of generating the servicer ID-associated product service data by associating the servicer ID data with at least a part of the data of the product service data.
Using the generated servicer ID association product service data, a step of generating servicer ID association output product service data, which is data for output, and
The step of outputting the generated product / service data for servicer ID association output and
A data processing method comprising.
In a data processing device that processes data to match customers with products or services
It is a care history data acquisition unit that acquires a plurality of care history data, and the plurality of care history data are among the maintenance performed on a small vehicle which is a one-seater or two-seater vehicle, respectively. Requester ID data, which is data related to the history of care, which is maintenance excluding repair of failure and repair of damage of the small vehicle, and is data for identifying the requester who requested the care. The customer is identified by including at least one of the owner ID data which is the data for identifying the owner of the small vehicle or the user ID data which is the data for identifying the user of the small vehicle. Customer ID data, which is data for identifying the mechanic who performed the care, mechanic ID data, which is data for identifying the mechanic who performed the care, and owner ID, which is data for identifying the owner of the store to which the mechanic who performed the care belongs. The data or the servicer ID data which includes at least one of the store ID data which is the data for identifying the store to which the mechanic who performed the care belongs and is the data for identifying the servicer who provides the care. The care includes vehicle ID data, which is data for identifying the small vehicle, and care implementation date-related data, which is data related to the maintenance performance and is data related to the care implementation date. The implementation date-related data includes maintenance performance data, which includes data in which the interval between the care implementation dates is 4 months or less, more than data in which the care implementation date interval is greater than 4 months, and the above-mentioned data. A care history data acquisition unit, which is data in which the customer ID data, the servicer ID data, the vehicle ID data, and the maintenance record data are associated with each other.
A servicer ID association care direct-related data acquisition unit that acquires a plurality of servicer ID-association care direct-related data, and the plurality of servicer ID-association care direct-related data are data directly related to the care. The servicer ID-related care direct-related data acquisition unit, which is the data in which the care direct-related data and the servicer ID data are associated with each other.
At least a part of the customer ID data, the servicer ID data, and the care direct-related data based on the acquired plurality of servicer ID-related care direct-related data and the acquired plurality of care history data. Customer ID and servicer ID association care direct related data generation unit that generates customer ID and servicer ID association care directly related data by associating with the data of
Customer ID and servicer ID association output care that is data to be output using the generated customer ID and servicer ID association output care directly. Customer ID and servicer ID association output care that directly generates related data. Related data generator and
The customer ID and servicer ID association output care direct related data output unit that outputs the generated customer ID and servicer ID association output care direct related data,
A data processing device comprising.
The data processing device according to claim 10.
The vehicle ID data in each of the plurality of care history data includes data related to the manufacturer of the small vehicle.
The plurality of care history data includes a first care history data and a second care history data.
A data processing device in which the manufacturer of the small vehicle indicated by the vehicle ID data in the first care history data is different from the manufacturer of the small vehicle indicated by the vehicle ID data in the second care history data.
The data processing device according to claim 10 or 11.
The maintenance record data in each of the plurality of care history data indicates that the number of times the care is performed is larger than the number of times the repair is performed.
The data processing device according to any one of claims 10 to 12.
The data processing device further includes evaluation data, each of which is data related to evaluation of the care by at least one of the client, the owner, or the user.
The data processing device according to any one of claims 10 to 13.
The maintenance record data in each of the plurality of care history data is a data processing device further including care type data related to the care type.
The data processing device according to any one of claims 10 to 14.
The maintenance record data in each of the plurality of care history data is a data processing device further including care consideration data which is data related to the care consideration.
The data processing device according to any one of claims 10 to 15.
The plurality of care history data can be used for mechanic indirect related data, which is data related to the mechanic's actions other than the maintenance or the mechanic's appearance (appearance), the owner's actions, or the owner's appearance (appearance), respectively. It includes at least one of the owner indirect related data which is related data or the store indirect related data which is data related to the location, business hours, equipment or appearance of the store and is indirectly related to the care. A data processing device in which the care indirect related data which is the data to be performed and the customer ID data further include the customer ID association care indirect related data which is the data associated with the input of the customer.
The data processing device according to any one of claims 10 to 16, further comprising:
The small vehicle, the parts used in the small vehicle, the product service data which is the data of the product and / or the service directly related to the care, and the acquired plurality of care history data. Based on the customer ID association product service data generation unit that generates customer ID association product service data by associating the customer ID data with at least a part of the product service data.
Using the generated customer ID association product service data, a customer ID association output product service data generation unit that generates customer ID association output product service data, which is data for output,
The customer ID association output product service data output unit that outputs the generated customer ID association output product service data, and
A data processing device comprising.
The data processing device according to any one of claims 10 to 17.
The small vehicle, the parts used in the small vehicle, the product service data which is the data of the product and / or the service directly related to the care, and the acquired plurality of care history data. Based on this, the servicer ID association product service data generation unit that generates the servicer ID association product service data by associating the servicer ID data with at least a part of the data of the product service data.
Using the generated servicer ID association product service data, a servicer ID association output product service data generation unit that generates servicer ID association output product service data, which is data for output,
The servicer ID association output product service data output unit that outputs the generated servicer ID association output product service data, and the servicer ID association output product service data output unit.
A data processing device comprising.