JP2013045264A - Cloud marketplace system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make purchase and sale of merchandise in a marketplace for selling and purchasing cloud products more efficient than in a conventional case.SOLUTION: A system of the present invention has: a marketplace page (2) for providing a customer with merchandise information; a sale management system (4) for managing merchandise information to be registered from the side of a merchandise seller and managing information of purchase and a contract of the merchandise by the customer; a compatibility diagnostic tool for performing processing of compatibility diagnosis between the merchandise and the customer; a DB for storing data information including diagnostic information for the compatibility diagnosis; registration means for registering the diagnostic information from a merchandise manager to the DB; and means for performing processing for presenting result information of the compatibility diagnosis to the customer as a result of the compatibility diagnosis.

Description

  The present invention relates to information processing systems such as marketplaces and electronic commerce (EC) for selling / purchasing products on a communication network, and particularly handles products (products) such as SaaS (Software as a Service) related to cloud computing. Regarding technology.

  Information processing systems such as marketplaces and ECs for buying and selling products on websites on communication networks have become common. In addition, a conventional merchandise EC site such as Amazon. com has a function of recommending related products based on the user's product purchase history information and behavior history information in the site.

  As a prior art example, there is JP-A-2003-36396 (Patent Document 1). Patent Document 1 (“Commodity Trading System Utilizing the Internet”, etc.) describes a technique for improving the efficiency of overall transactions in a marketplace where software is traded. For example, it is described that a purchaser can compare desired purchase items based on neutral information (third-party evaluation report, comparison report of each item, purchaser evaluation report).

JP 2003-36396 A

  As for products such as SaaS related to cloud computing, there are many forms in which the seller side sells to customers (users) and sells and contracts, and a system such as a marketplace or EC that sells the SaaS products on a website or the like. Is not enough. For example, there are various circumstances related to the introduction of SaaS and system construction for each client company, and what kind of products and systems are effective for the company and high cost performance for the customer In places and EC systems, it is a little difficult to understand, and the burden of consideration is large.

  Products and services (cloud products) such as SaaS, PaaS, and IaaS are a mechanism that provides service processing, resources, etc. to a large number of users on a network using cloud computing technology. Can be used by customers (users) to reduce costs and improve service quality. Conventionally, however, it has been difficult for the merchandise seller side to reduce the cost because management costs and the like are required to sell the merchandise to the customer as described above.

  In view of the above, as a main object of the present invention, the present invention relates to a system such as a marketplace or EC for buying and selling products (cloud products) such as SaaS on a website, etc., and making the buying and selling of products such as SaaS more efficient than before. , Providing technology that makes it easy for customers (users) to select when purchasing (introducing) products, etc., and enables sellers to provide products to many customers at low cost It is.

  A typical embodiment of the present invention is a marketplace or EC system (cloud marketplace system) for buying and selling products (cloud products) such as SaaS on a website or the like on a communication network. It has the structure.

  The system according to this embodiment includes a first processing unit that manages a marketplace page that provides product information to a customer who is a product purchaser, and product information registered by a product manager who is a product seller. A second processing unit for managing product purchase / contract information by a customer, a conformity diagnosis unit for performing conformity diagnosis processing between the product and the customer, and diagnostic information for the conformity diagnosis A database for storing data information; a third processing unit for registering the diagnostic information from the product manager to the database; and presenting the result information of the conformity diagnosis to the customer as a result of the conformance diagnosis And a fourth processing unit for performing the processing. The diagnosis information includes Q & A information for the conformity diagnosis and diagnosis rule information corresponding to the Q & A information. The diagnosis rule information includes information for calculating or associating the degree of matching between the target product and the customer based on the question answer information for the Q & A information by the customer. The result information of the conformity diagnosis includes information on the degree of conformity between the target product and the customer.

  According to a typical embodiment of the present invention, the present invention relates to a marketplace or EC system that buys and sells products (cloud products) such as SaaS on a website or the like, and makes the buying and selling of products such as SaaS more efficient than before. The customer (user) can easily understand selection when purchasing (introducing) the product, and the seller can provide the product to many customers at a low cost.

It is a figure which shows the structure of the whole system (cloud marketplace system) of Embodiment 1 of this invention. It is a figure which shows the structural example of the main system part (MPS) among FIG. It is a figure which shows the structure 1 of the system (cloud marketplace system) of Embodiment 2 of this invention. It is a figure which shows the structure 2 of the system of FIG. It is a figure which shows the structure 1 regarding the conformity diagnostic tool and process in the system (cloud marketplace system) of Embodiment 3 of this invention. It is a figure which shows the structure 2 concerning the adaptive diagnostic tool of FIG. 5, and a process. FIG. 10 is a diagram illustrating a processing example of a fitness diagnosis tool (a fitness diagnosis processing unit) in the system according to the third embodiment. It is a figure which shows an example of a structure of the conformity diagnostic page (especially Q & A) in the system of one embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiment, and the repetitive description thereof will be omitted. For the sake of explanation, symbols such as U: customer, V: merchandise manager, S: merchandise, Q: question, A: answer are used as appropriate.

<Summary>
The marketplace site of this system enables a procedure for selling and purchasing products (cloud products) such as SaaS. In this site, a customer (user) answers (fills in) a questionnaire (Q & A) attached to information on SaaS products that the customer (users) is considering purchasing (use contracts, etc.), so that the product can satisfy the customer's needs. It provides a diagnostic diagnosis that automatically knows how well it meets the requirements. The conformity diagnosis tool of this system diagnoses the degree of conformity between the product and the customer based on the information of the questionnaire (Q & A), and recommends the product or other products according to the result. Do. For example, as a result of diagnosis, result information is presented to the customer so as to recommend a product corresponding to the level of fitness to the customer. For example, a link (guidance) to a detailed information page of a recommended product, a purchase / contract page, or the like is performed. The fitness level may be calculated at a plurality of levels or numerical values (%, etc.), or the recommended product may be directly determined / presented without calculating / presenting the fitness level itself.

  Customers (users) considering products can move from the top page of this site, product information pages, dedicated pages, etc. to the page for conformity diagnosis (questionnaire, etc.) You can move to the recommended product information page, system consultation page, etc. Not limited to this, customers who visit this site can refer to the product information of a specific product and receive a diagnosis regarding compatibility with the specific product, or about an unspecified product group (multiple products). A diagnosis can be received, or a diagnosis regarding a system construction (SI) product can be received.

  The target products are not limited to various SaaS products and software products, but may be products (services) in a form (SI) in which a system (customer system) is constructed by individual development according to customer demands. In the case of SI, there are cases where development starts from scratch depending on the convenience of the customer, and cases where it is possible to cope with customization of existing products and development of some new modules.

  In the above questionnaire (Q & A), the customer can enter requirements, requests, troubles, etc. related to the purchase of SaaS products and system construction. Information input to the questionnaire (Q & A) and conformity diagnosis result information are stored and managed in this system (DB), and the product provider refers to the questionnaire (Q & A) input information, etc., and reflects / feeds back to product provision Can do.

  Further, the merchandise seller (provider) side can register (set) information on the target merchandise and information for conformity diagnosis on the site of this system. In particular, product managers such as product sellers and designers use a questionnaire (Q & A) configuration according to the characteristics of the target product and diagnostic rules corresponding to the characteristics of the target product (conformity and recommended product (Including description for calculation) etc. can be flexibly set (input / editable). Therefore, matching between customers and products can be made effective.

<Embodiment 1>
The system (cloud marketplace system) of Embodiment 1 of this invention is demonstrated using FIGS. 1-2.

[System (1)]
FIG. 1 shows the overall configuration of the system of the first embodiment. The entire system consists of a marketplace system / site (abbreviated as MPS) 1 which is a main system part, a customer system 5 which is a product purchaser side, and a product seller (product provider, product manager) side. It has a system of its own company and other companies (6, 7) and related systems such as an automatic transfer system 8 (batch processing system) and a settlement agency system 9 etc., each of which is a communication on a communication network (N1-N5) Connected with.

  (1) The MPS 1 is configured to include a marketplace page 2, a my page 3, and a sales management system 4 as a system site configuration. Each page (2, 3, 4) is generated and managed by program processing on a server device (for example, a Web application server).

  (2) The marketplace page 2 includes product introduction information and conformity diagnosis (simple) 101 as Web pages / information. The product introduction information is information for introducing a product such as SaaS to the user. The conformity diagnosis (simple) 101 is a characteristic element (described later).

  (3) My page 3 includes customer information and conformity diagnosis (details) 102 as Web pages / information. My page 3 is a page in which only a corresponding customer is permitted to browse through the login process. The customer information is information for each corresponding customer (for example, U1). The matching diagnosis (details) 102 is a characteristic element (described later).

  (4) The sales management system 4 is a component (function, page, processing, etc.) (details are shown in FIG. 2), product / diagnosis information registration, member registration, trial management, contract management, contract renewal, billing calculation, billing Includes management, automatic transfers, card billing, etc. For example, in the trial management, when a customer (5) applies for a product trial, an automatic reply of the product trial application is sent to the customer (5) by e-mail (a4). When the customer (5) purchases / contracts goods (contract etc.), the contract renewal guidance and the automatic renewal notification are sent to the customer (5) by e-mail by the contract renewal process of the contract management (a5). .

  (5) The customer system 5 includes an information processing system / terminal used by a customer (user) who purchases (contracts) a product. A customer (eg, U1) accesses and browses the marketplace page 2, my page 3, etc. from the terminal (including a Web browser). For example, the customer U1 refers to the product introduction information on the marketplace page 2 and can make various applications regarding the SaaS product etc. (a1). Further, the customer U1 can refer to the conformity diagnosis (simple) 101 and answer (fill in) the questionnaire (Q & A) (a2). Then, it is possible to refer to the result information (for example, the degree of matching and recommended product information) of the matching diagnosis (simple) 101 (a3). Further, for example, the customer U1 can confirm by referring to the contract / billing information in the customer information of My Page 3 (a6).

  (6) The in-house system 6 is an information processing system / terminal or the like of a business operator that manages and provides the MPS 1 and sells and provides products such as SaaS. As a merchandise manager (V1) who manages the target merchandise, for example, there are a sales person and a designer. The merchandise manager V1 accesses the sales management system 4 from the company system 6 and performs the overall sales management system of the target merchandise (b2). For example, V1 performs product / diagnosis information registration (b1). In b1, product information and conformity diagnosis information of the target product are registered in this system (updating / updating product introduction information on the marketplace page 2, registration of Q & A information and rule information of conformity diagnosis (simple) 101, etc.).

  (7) The other company's system 7 is an information processing system / terminal or the like of a business that sells and provides products such as SaaS using the MPS 1. As a merchandise manager (V2) who manages the target merchandise, for example, there are a sales person and a designer. The merchandise manager V2 accesses the sales management system 4 from the other company's system 7, and performs the overall sales management system of the target merchandise (b4). For example, V2 performs product / diagnosis information registration (b3). Also, the license usage fee payment (b5) is made to the other company's system 7 (V2) in cooperation with the accounting calculation of the sales management system 4.

  (8) The automatic transfer system 8 (batch processing system) performs automatic transfer processing for the product purchaser (5) in cooperation with billing management (automatic transfer) of the sales management system 4 (known technology).

  (9) The settlement agent system 9 performs a settlement agent process for the product purchaser (5) in cooperation with the billing management (card billing) of the sales management system 4 (known technology).

  Next, FIG. 2 shows a configuration example of the main system portion (MPS1) in FIG. MPS1 is comprised including the adaptive diagnosis tool 10 and DB50.

  (2) As detailed configuration examples of marketplace page 2, each page / information includes (a) category product list, (b) application for use (product purchase / contract), (c) conformity diagnosis (simple), (d) Product introduction information (product details), (e) trial application / demo, (f) e-mail magazine application, (g) member registration, (h) general questionnaire, etc. a is list information according to category of the product group dealt with on this page (2). b is a page at the time of product purchase / contract (use application). d is detailed information for each product. e is a page for referring to a trial application or demonstration of a product. f is a page in the case of applying for an e-mail magazine that provides information on this site (products, etc.). g is a page when registering as a member on this site. h is a page for performing a general questionnaire (conventional technology) different from the questionnaire for conformity diagnosis of c.

  The compliance diagnosis (simple) of c (101) of marketplace page 2 and the compatibility diagnosis (details) of e (102) of my page 3 are provided by the processing of the fitness diagnosis tool 10. As types, there are simple conformity diagnosis and detailed conformance diagnosis. In another type classification, there are diagnosis for each product and diagnosis for a product group. In this example, the simple matching diagnosis (c) is provided on the marketplace page 2 and the detailed matching diagnosis (e) is provided on the My Page 3, but the provision location and type can be changed as appropriate.

  (3) As a detailed configuration example of My Page 3, each page / information includes (a) application list, (b) contract management, (c) billing management, (d) SI product consultation (system consultation room), (e ) Conformity diagnosis (details), etc. a is a list of contract products and trial products of the customer. Reference numeral b denotes a function / page for managing product contracts, which enables reference to product contract information, update or cancellation of product contracts, and the like. “c” is a function / page for managing billing based on a product contract, and billing information can be referred to. As will be described later, d is a function / page of the system consultation room that enables detailed consultation on the system construction (SI) product and the like with the product provider side. In My Page 3, it is possible to collectively check past matching diagnosis result information of the customer himself / herself.

  (4) Assume that there are a salesperson (V1-1) and a designer (V1-2) of a certain SaaS product (example: SA) as a product manager of the company system 6 that uses the sales management system 4. . As a detailed configuration example of the sales management system 4, the sales management system 4 includes the above-described processes and functions (201 to 207). Then, as shown in the figure, the functions / information are accessed for each merchandise manager (V1-1, V1-2). For example, in the function / process of the product information / diagnosis information registration 201, the product information of the target product can be registered (uploaded) with respect to the product introduction information (d) on the marketplace page 2. Also, from 201, along with the registration of the product information, it is possible to register the relevant diagnostic information (described later) of the target product in the DB 50.

  In 202, it is possible to refer to and register the information of the member (customer). In 203, it is possible to refer to product trial application information and to examine and approve applications. In 204, it is possible to examine, register, and approve a product purchase (use contract). In 205, billing information can be referred to, corrected, confirmed, and the like.

  (10) The conformity diagnosis tool 10 is realized by program processing on a server device as an implementation example. The adaptive diagnosis tool 10 refers to (reads / writes) information in the DB 50 for processing. The DB 50 is a database that stores product suitability diagnosis information (described later). The DB 50 is held in a storage or the like.

  Needless to say, the site / page configuration is an example, and can be appropriately divided and integrated.

  In the first embodiment, the customer (for example, U1) moves from the product introduction information (d) page of the product (for example, SA) of interest on the marketplace page 2 to the page for conformity diagnosis (c), for example, Answer (fill in) the (Q & A). In response, the conformity diagnosis tool 10 performs conformity diagnosis processing between the customer (U1) and the product (SA), and presents conformity diagnosis result information (including recommended product information and the like) to the customer. The customer (U1) knows from the result information whether the product (SA) meets the needs. When purchasing the product (SA), the customer (U1) immediately moves to the purchase / contract (b) page and performs the procedure. can do. If the information does not match, the recommended product information can be referred to.

<Embodiment 2>
A system (cloud marketplace system) according to the second embodiment of the present invention will be described with reference to FIGS. The second embodiment shows another configuration example of the MPS 1 of the first embodiment. Elements (5 to 9) other than MPS1 are the same as those in the first embodiment.

[System (2)]
3 and 4 show the system configuration of the second embodiment. The MPS 1 includes a product portal processing unit 20 in FIG. 3, a product management unit 40, a contract management unit 60, and a billing management unit 70 in FIG. 4 as processing units. 3, the product master 51, the conformity diagnosis master 52, the price master 53, the application information 54, the contract information 55, and the billing information 56 of FIG.

  (20) The product portal processing unit 20 includes a product search processing unit 21, a conformance diagnosis processing unit 22, and a use application processing unit 23.

  (40) The product management unit 40 includes a product registration processing unit 41, a matching diagnosis registration processing unit 42, and a price registration processing unit 43.

  (51) The product master 51 stores product information for each product.

  (52) The fitness diagnosis master 52 stores fitness diagnosis information for each product / product group. Note that the matching diagnosis master 52 and the DB 50 shown in FIGS. 2 and 5 and the like have a corresponding relationship, and both include matching diagnosis information.

  (53) The price master 53 stores price information at the time of purchase (use contract) of a product.

  (54) The application information 54 stores application information at the time of applying for purchase of a product by a customer.

  (55) The contract information 55 stores contract information when a customer purchases a product (use contract).

  (56) The billing information 56 stores billing information for purchase (use) of a product by a customer.

  (60) The contract management unit has an application examination processing unit 61.

  (70) The billing management unit 70 includes a billing information creation processing unit 71, a sales accounting processing unit 72, a deposit result processing unit 73, and a billing search processing unit 74.

  An example of operation in the second embodiment is as follows. First, a merchandise manager (example: V1) on the merchandise provider (6, 7) side sends information (such as merchandise introduction information) of merchandise to be sold (eg, SaaS merchandise SA, SB, etc.) to the merchandise management section 40. (B1). The merchandise registration processing unit 41 receives the information of B1 and registers (stores) the merchandise information in the merchandise master 51.

  Further, the merchandise manager (V1) registers information for conformity diagnosis of the target product (SA, SB, etc.) (for example, simple conformance diagnosis information for each product) in the merchandise management unit 40 (B2). The matching diagnosis registration processing unit 42 receives the information of B2 and registers (stores) the matching diagnosis information in the matching diagnosis master 52.

  Further, the merchandise manager (V1) registers price information of the target merchandise (SA, SB, etc.) in the merchandise management section 40 (B3). The price registration processing unit 43 receives the information of B3 and registers (stores) the price information in the price master 53.

  On the other hand, the customer (example: U1) accesses the portal processing unit 20 (portal page, etc.) of the MPS1 from the terminal (5), and transmits a product introduction request regarding the product (example: SA) of interest (A1). . The merchandise search processing unit 21 receives the request of A1, and transmits a merchandise introduction information page of the merchandise SA in response to the terminal (5) of the customer U1 while referring to the information of the merchandise master 51 (A2).

  When the customer U1 refers to the product introduction information page of the product SA and is concerned about how much the product SA is suitable for the company, the customer U1 is diagnosed with the product SA associated with the page by a link or the like. (Page) is requested (A3). The conformity diagnosis processing unit 22 receives the request of A3 and transmits a conformity diagnosis page of the product SA in response to the terminal (5) of the customer U1 while referring to the conformity diagnosis master 52 (A4).

  The customer U1 refers to the conformity diagnosis page of the product SA and answers (fills in) the accompanying questionnaire (Q & A) (A5). The conformity diagnosis processing unit 22 receives and stores the answer information of A5, performs conformity diagnosis processing between the customer U1 and the product SA while referring to the conformity diagnosis master 52, and obtains result information (degree of conformity and recommendation). (Including product information) is transmitted to the terminal (5) of the customer U1 and stored (A6).

  The customer U1 refers to the result information of the conformity diagnosis. For example, when the customer U1 wishes to purchase the product SA (use contract), the customer U1 transmits a request for the application from the corresponding page (A7). The use application processing unit 23 receives the request of A7, performs the application process of the target product SA while referring to the product master 51 and the price master 53, stores the result in the application information 54, and sends an application notification to the product. Transmit to the administrator (C1).

  The merchandise manager (V1) requests application information from the contract manager 60 as appropriate (D1). In response to the request of D1, the application examination processing unit 61 refers to the application information 54, extracts the corresponding application information, and responds to the merchandise manager (V1) (D2). The merchandise manager (V1) refers to the application information of D2, conducts examination, and transmits examination result information for registration (D3). The application examination processing unit 61 receives the examination result information of D3, registers it in the contract information 55, responds to the merchandise manager (V1) (D4), and notifies the customer (U1) (C2).

  Subsequently, in FIG. 4, in the billing management unit 70, for example, the automatic transfer system 8 transmits a billing information creation request to the billing management unit 70 at a predetermined date and time (E1). The billing information creation processing unit 71 receives the request for E1, refers to the contract information 55, creates billing information for the contract, and stores it in the billing information 56.

  Further, the automatic transfer system 8 transmits a sales recording request to the billing management unit 70 at a predetermined date and time (E2). The sales accounting processing unit 72 receives the E2 request, refers to the billing information 56, performs sales accounting processing based on the billing information of the corresponding contract, and transmits the sales information as a result to the settlement agent system 9 ( E3). The payment agent system 9 receives the sales information of E3, performs payment processing, and transmits the payment result information to the billing management unit 70 (E4). The deposit result processing unit 73 receives E4 deposit result information and stores it in the billing information 56.

  Further, the merchandise provider side (6, 7) appropriately transmits a billing search request to the billing management unit 70 (E5). The billing search processing unit 74 receives the request of E5, performs a search process from the billing information 56, and transmits a result as a response (E6). Similarly, the customer (5) side appropriately transmits a billing search request to the billing management unit 70 (E7). The billing search processing unit 74 receives the request of E7, searches for the billing information 56, and transmits a result as a response (E8).

  In the second embodiment, as in the first embodiment, the customer knows from the conformity diagnosis result information (A6) whether or not the product is suitable for the needs. Application / examination). The merchandise provider can flexibly set the relevant diagnostic information (B1 to B3).

<Embodiment 3>
A system (cloud marketplace system) according to the third embodiment of the present invention will be described with reference to FIGS. The basic configuration of the third embodiment is the same as that of the first embodiment, and particularly shows a detailed configuration example of the conformity diagnostic tool 10. 5 and 6 show a configuration relating to the MPS 1, the adaptive diagnosis tool 10, and the processing thereof in the third embodiment.

[Conformity diagnosis processing (1)]
In FIG. 5, as a flow (example) of product purchase examination on the customer (example: U1) side, (1) self-examination (simple conformity diagnosis etc.) on the marketplace page 2, (2) login to my page 3 Detailed examination (detailed conformity diagnosis, etc.), (3) Examination in the system consultation room of My Page 3 (SI product examination, etc.), (4) Consultation / negotiation with SI staff.

  The merchandise manager (example: V1) side registers merchandise information, conformity diagnosis information, etc. with respect to the commodity diagnosis information DB 50 (or the aforementioned conformity diagnosis master 52, etc.) (A0). In order to perform the conformity diagnosis processing (11, 12), the conformity diagnosis tool 10 refers to the information in the DB 50 as appropriate (A1) and registers (stores) the information in the DB 50 (A2).

  (1) First, the customer U1 conducts self-examination. For example, it is assumed that the product SA or the like should be purchased. The marketplace page 2 has product-specific pages, and includes, for example, a SaaS product SA page 501 and a SaaS product SB page 502. For example, from the product SA information page 501, a simple fit diagnosis (503) for each product (that is, product SA) can be performed. For example, the customer U1 answers (fills in) the Q & A information (provided from the DBs 50 and 11) of the simple conformity diagnosis of the product SA from the customer system 5 at 503 (a1).

  The conformity diagnosis tool 10 performs a simple conformance diagnosis process 11 based on the Q & A information (referred from D50) of the simple conformance diagnosis of the product SA and the reply information of the customer U1 of a1. 510 indicates the Q & A information and the reply information of the customer U1. It has a plurality of question items, each question item has an answer item, and a customer fills in the answer item (for example, item selection or item value input). A specific example of Q & A will be described later (FIG. 8).

  In the simple adaptation diagnosis process 11, the Q & A input (510) is analyzed and the diagnosis result information is output. For example, in the diagnosis result information of 511 (Example 1), the fitness is A (for example, A is high level, B is medium level, and C is low level), and the optimal product (recommended product) is SA, and the recommendation The link information to the product SA is included. The customer U1 refers to the result (511) and can move to the page (504) of the details of the product SA (for example, data download is possible) by, for example, a link to the recommended product SA (a2).

  Further, for example, the diagnosis result information of 512 (example 2) includes information on a recommended product SB (a product having a higher fitness than SA) different from SA. The customer U1 refers to the result (512), and can move to the page (502) of the product SB by, for example, a link to the recommended product SB (a3).

  Further, for example, the diagnosis result information of 513 (example 3) includes information on a plurality of candidate recommended products SA, SB, SC, etc. instead of one, and a link to the detailed matching diagnosis. The customer U1 refers to the result (513), and can move to the page of each candidate product as described above, or can move to the detailed conformity diagnosis page (a4).

  (2) When the customer U1 cannot select one product in the self-examination of (1) above, the customer U1 proceeds to detailed examination. For example, the customer U1 (5) can log in to My Page 3 and receive a detailed matching diagnosis (505) (a5). The detailed matching diagnosis (505) can also be performed from a4 described above.

  My page 3 has pages such as a detailed conformity diagnosis (505), a trial / questionnaire (506), and a system consultation room (507). For example, the customer U1 answers (fills in) the Q & A information (provided from the DBs 50 and 12) for detailed conformity diagnosis at 505 (a5).

  The conformity diagnosis tool 10 performs a detail conformance diagnosis process 12 based on Q & A information (referred from D50) of the detail conformance diagnosis and the answer information of the customer U1 of a5. 520 shows the Q & A information and the reply information of the customer U1 (contents are different from 510). The detailed conformity diagnosis includes, for example, conformity diagnosis on a system construction (SI) product (referred to as SC) according to the customer, which cannot be dealt with only by providing or customizing existing products (eg, SA, SA, etc.) It is.

  In the case of the detailed conformity diagnosis process 12, the conformity diagnosis tool 10 refers to the customer information of the customer (U1) stored in the DB 50 or the like and the result information of the simple conformance diagnosis process 11 that has been executed in the past. Detailed conformity diagnosis processing based on those contents is performed.

  In the detailed conformity diagnosis processing 12, the Q & A input (520) is analyzed, and diagnosis result information is output. For example, in the diagnostic result information of 521, the conformity is B (medium level) for the SI product (SC), information on necessary options and information on requirements that cannot be handled, link to trial, system consultation Includes links to rooms, links to contracts and purchases, etc.

  The customer can refer to the result (521) and confirm information such as necessary options in the case of introduction / contract of the SI product (SC). Further, for example, a link to a trial can move to a trial / questionnaire page (506) (a6). In this page (506), the product can be used for trial use or demo viewing in cooperation with the trial use / demo system 500.

  (3) Further, the customer U1 (5) can move to the page (507) of the system consultation room from My Page 3 or by linking the result of detailed matching diagnosis (521) to the system consultation room ( a7). On the system consultation room page (507), consult on detailed examinations (such as comparative study of similar products) on various SaaS products (SA, SB, etc.), consultation on introduction / contract of SI products (SC), SI products Estimating the charge for the contract of (SC) is possible by providing information from the product provider (V1). As a result of the consultation, the customer U1 can select a SaaS product (SA, SB, etc.) to purchase, or can determine the introduction / contract of the SI product (SC). When contracting an SI product (SC), it is possible to move to the contract page of the product SC and proceed with the procedure as described above.

  (4) Furthermore, if the customer U1 (5) cannot select a product in the system consultation room of (3) above, the customer U1 (5) can move to a consultation / business negotiation with a person in charge (V1). For example, the customer U1 consults in detail about the introduction / contract of the SI product (SC) with the SI person in charge (V1). In the case of a contract, the SI person in charge (V1) registers information in the sales management system 4, and additionally adds interview information from the customer U1 to the DB 50 (A3), and reflects / utilizes it in the sales and design of the product.

[Conformity diagnosis process (2)]
Next, with reference to FIG. 6, an example of conformity diagnosis processing and a configuration example on the product manager (6, 7) side will be described. In advance, the merchandise manager (e.g., the manager of the SaaS merchandise SA) passes the above-described sales management system 4 through the merchandise management section 40 to the DB 50 (or the matching diagnosis master 52) to check the matching of the merchandise (SA). For example, information such as a Q & A sentence (question answer information, questionnaire information), a diagnosis rule, a corresponding process definition, a recommended URL, etc. is registered (b1). In this case, for example, the product information and the conformity diagnosis information are registered using a registration function 601 provided in the company system 6 (V1 terminal or the like).

  Q & A sentences and diagnosis rules can register a plurality of types of Q & A sentences according to simple diagnosis, detailed diagnosis, diagnosis for individual products, diagnosis of multiple products, and the like. The diagnosis rule is rule information that defines the contents of the conformity diagnosis associated with the Q & A sentence. The corresponding process definition is process definition information corresponding to the Q & A answer value. The recommended URL is link information to recommended products. Note that the configuration file itself of the Q & A sentence can be in a form in which diagnosis rules and the like are described.

  The customer (U1) inputs an answer for each Q & A item of the Q & A sentence (example: 611). For example, the user selects (checks) an answer option item (eg, yes / no) or inputs a numerical value or a character in the item. The Q & A answer information is stored in the DB 50.

  Further, customer information such as customer attributes and customer requirements is registered in the DB 50 in response to the Q & A input. The customer information may be managed by the sales management system 4, or may be separately managed by using the customer information management function 603 on the product provider side, for example, and may be linked with the conformity diagnosis tool 10 and the DB 50. For example, in 603, customer information for each customer (U1, U2, etc.) is managed.

  The conformity diagnosis tool 10 performs conformity diagnosis processing (corresponding to the above-mentioned 11, 12) between the product SA and the customer U1 using the Q & A sentence, the diagnosis rule, the Q & A answer information, the customer information, and the like as input information. Then, the matching diagnosis result information (example: 630) is stored in the DB 50 and presented to the customer U1. Further, information such as customer operation logs related to the conformity diagnosis processing is also stored in the DB 50.

  Examples of conformity diagnosis processing (examples of Q & A and diagnosis rules) by the conformity diagnosis tool 10 are as follows.

  (Example 1) 621 shows the 1st example of Q & A and a rule structure. This is the case of the diagnostic information of the product SA. The fitness weight value for calculating the fitness of the product SA is represented by a. A fitness weight value a is set for each answer item (answer value) of the Q & A item. For example, for the two answer items (A1-1: Yes, A1-2: No) in the first question item (Q1), if the customer selects A1-1 (Yes), a = 1, A1-2 ( When “No” is selected, a = 0 is calculated. Similarly, for the three answer items of Q2, if the customer answer corresponds to A2-1, a = 0.8, A2-2 is a = 0.5, and A2-3 is a = 0. Similarly, for all Q & A items, the a value corresponding to the customer response value is added, and the total value X is calculated.

  Then, the adaptability (the adaptability between SA and U1) is determined by the value of the total value X. For example, when X ≧ 1, fitness = A (high level), when 1> X ≧ 0.5, fitness = B (medium level), and when 0.5> X, fitness = C (low) Level).

  Then, a response process is defined according to the result of the fitness. For example, a recommended product is associated with each matching degree. For example, in the case of fitness A, the recommended product SA, in the case of fitness B, the recommended product SB, in the case of fitness C, the recommended product SC (SI product), and so on.

  In the above example, the determination is made based on the total value X of all the answer values. However, the determination is not limited to this, and the determination may be made only with a specific answer value. In addition, the suitability weight value (a) may be another value such as a score, and the suitability may be calculated by another calculation method.

  (Example 2) 622 shows the 2nd example of Q & A and a rule structure. This is the case of the diagnostic information of the product SA. This configuration example is simpler than the first example, and the recommended product is directly associated with the answer value of the Q & A item. For example, for three answer items (Ax-1, Ax-2, Ax-3) in a certain question item (Qx), if the customer selects Ax-1, it is set as the recommended product SA, and in the case of Ax-2, the recommended product In the case of Ax-3, the recommended product SC is determined. In addition, similarly, it may be configured such that an input value of a certain answer item is compared with a threshold value and associated with a recommended product in each category. In the case of the second example, it is not necessary to calculate the fitness value, and it is not necessary to present the fitness value to the customer.

  (Example 3) 623 shows the 3rd example of Q & A and a rule structure. This is a case of conformity diagnosis information corresponding to the conformity diagnosis of the commodities SA and SB. A fitness weight value (a and b) is provided for each product (SA, SB), and is set in each Q & A item.

  For example, for the three answer items in Q1 (A1-1, A1-2, A1-3), if the customer selects A1-1, a = 1 and b = 0, and if A1-2, a = 0.5, b = 0.5, and in the case of A1-3, the calculation is made such that a = 0, b = 1. Similarly, calculate for each Q & A item, and calculate the total value of each of a and b as in the first example, and the fitness for each product (the fitness of SA and U1, and the fitness of SB and U1) To decide. If the fitness is high, the product is recommended. As with the above example, it is possible to realize a batch conformity diagnosis for three or more products.

  In the example of the conformity diagnosis result information 630, for example, the conformity degree regarding the product SA is A (high level), and the first recommended product (optimum product) is SA. In addition, if there is a second or later recommended product as a result of the diagnosis, information is similarly presented. For example, the second recommended product (next recommended product) is SB, and information is presented as related products related to SA. If there are a plurality of recommended products depending on the degree of fitness, etc., they may be presented in the form of a list or the like with a recommendation order or a reason for recommendation.

[Conformity diagnosis processing (3)]
In FIG. 6, the product manager V1, for example, a designer such as the SaaS product SA, uses, for example, the registration function 601 provided in the company system 6 to select Q & A item choices and diagnosis rules in the Q & A information (questionnaire information). Information can be registered in the DB 50 and the contents can be updated as necessary. Further, the merchandise manager V1 can use the analysis support function 602 to refer to the information in the DB 50 and perform analysis processing related to conformity diagnosis. For example, using the analysis support function 602, customer response information in Q & A can be downloaded together (for example, in CSV format) and analyzed. Examples of this analysis include attribute analysis, requirement analysis, and attribute cross-sell analysis. As a result, the product manager V1 feeds back the analysis results to product planning / development, sales strategy, etc., and updates the contents such as Q & A sentences and diagnosis rules to more suitable contents. It can be adjusted.

  The cross-sell is an approach for recommending another product (eg, SB) or combination product related to the product (SA) to a purchaser or a desire to purchase a product (eg: SA). The analysis support function 602 includes a function that supports the analysis of the cross cell.

[Processing flow]
FIG. 7 shows a processing flow example of the conformity diagnosis tool 10 (or the conformity diagnosis processing unit 22 and the like) (s1 and the like represent processing steps). The basic concept and specific examples are as described above, but will be generalized and described.

  (S1) The conformity diagnosis tool 10 receives a request (for example, A3 in FIG. 3) of conformity diagnosis (for example, simple conformance diagnosis) of the target product (for example, individual product SA) from the system 5 of the customer (eg, U1), and receives the DB 50 ( In addition, based on the information (FIGS. 5 and 6) read from the conformity diagnosis master 52 or the like), a process of responding to the conformity diagnosis information (Q & A information) of the product (A4 in FIG. 3) is performed.

  (S2) The conformity diagnosis tool 10 acquires the reply information (A5 in FIG. 3) input to the Q & A information by the customer (U1) from the system 5 of the customer (U1).

  (S3) Further, the conformity diagnosis tool 10 acquires customer information of the customer (U1) from the DB 50 or the like as necessary, and acquires / references information such as a diagnosis rule of the target product (SA). In addition, s3 is unnecessary when acquired by s1 and s2.

  (S4) The conformity diagnosis tool 10 uses the Q & A response information of s2 and the customer information and diagnosis rules of s3 to determine the conformity (α) between the customer (U1) and the product (SA). Performs analysis and judgment processing. For example, as described above (FIG. 6, Example 1), the suitability weight value (a) is set for each answer value of the Q & A item (described in the suitability diagnosis information), and the weight of the customer answer value of all Q & A items The degree of fitness (α) is calculated by adding the value a and dividing the total value (X) by a threshold value.

  (S5) The conformity diagnosis tool 10 determines a recommended product or a corresponding process for the customer (U1) according to the conformity (α) obtained in s4. For example, as described above (FIG. 6, Example 1), the fitness (α) and the recommended product are set in association with each other (described in the fitness diagnosis information). As an example of association, when α = A (high level), the product (SA) is recommended. When α = B (medium level), the product (SA) or another product is recommended. If α = C (low level), another product or SI (system construction) product is recommended. Here, the above-mentioned another product is another product (for example, SB) determined to have a sufficiently high degree of matching with the customer (U1). As described above (FIG. 6, Example 3), this determination / recommendation uses the result of the conformity diagnosis regarding the product group (multiple products) or the customer (U1) stored as a history in the DB 50. It can also be performed by referring to past conformity diagnosis results.

  As another example, as described above (FIG. 6, Example 2), the answer value of the Q & A item and the recommended product are directly associated with each other without using the fitness (α) (in the diagnostic information for compliance). If it is described, the recommended product is determined.

  (S6) The conformity diagnosis tool 10 creates conformance diagnosis information (for example, information on conformity α, recommended products, links, etc.) (for example, a web page) reflecting the result of the conformity diagnosis processing up to s5, and The response is presented to the customer (U1) (A6 in FIG. 3) and stored in the DB 50.

[Q & A composition]
FIG. 8 shows a Web page display example as an example of the configuration of the conformity diagnosis page (particularly Q & A information). It has a plurality of Q & A items (for example, Q1 to Q12). Customers can receive conformity diagnosis by answering (filling in) the Q & A items and pressing the diagnosis button. This example is a case of conformity diagnosis of SaaS product SA. The SaaS product SA is, for example, a case of a production management package (a low-priced software product / service specialized in production management of an individual order production type (multi-product / small-volume production)). This product SA can be used without the need for customization for each customer (customer system 5), and the usage form can be selected from the SaaS type, the introduction type (installed in the customer system 5), and the like.

The contents of the Q & A item in FIG. 8 are as follows:
(Q1) Production ratios are: (A1) ・ Individual build-to-order production (%) ・ Repeated production (%) ・ Fabless production (%)
(Q2) Please select the work to be considered for introduction: (A2) ・ Sales, ・ Purchase, ・ Inventory, ・ Cost, ・ Others (Q3) Is MRP (material requirements planning) an essential requirement: (A3) ) Yes / No (Q4) Number of clients planned to be installed (number of simultaneous connections): (A4) Number of simultaneous connections (Q5) Do you have experience in introducing production management systems: (A5) Yes / No (Q6) Is installation required: (A6) Yes / No (Q7) Please select the main machining mode: (A7) ・ Assembly processing ・ Metal processing, molding processing ・ Process processing (Q8) Necessary for product manufacturing Number of parts to be: (A8) Number of parts (Q9) Maximum number of hierarchies in the bill of materials: (A9) Number of hierarchies (Q10) Please select inventory valuation method: (A10) Total average method / Standard cost method / First-in first-out method / Value reduction method / moving average method (Q11) Please select the current BOM management method: (A11) Excel, etc./existing system (excluding CAD) / CAD system / drawing form only (Q12) Do you have: (A12) Yes / No.

  As in the above example, the Q & A items include items for inputting customer usage conditions (requirements) related to products, customer attributes, and the like. The merchandise manager (V1) can set diagnostic rules for determining the fitness level and recommended merchandise according to the Q & A configuration. For example, if the rule is “Yes” in A3, the degree of conformity with the product corresponding to the MRP requirement and the product function is high, and if it is “No”, the degree of conformance is low.

[Effect / deformation]
As described above, according to each embodiment, the buying and selling of products such as SaaS is made more efficient than before, and it is easy for the customer to make selections when purchasing the product. The product can be provided at low cost.

  As mentioned above, the invention made by the present inventor has been specifically described based on the embodiment. However, the present invention is not limited to the embodiment, and various modifications can be made without departing from the scope of the invention. Needless to say. The following is given as a modification of the embodiment.

  (1) The target of diagnosis or recommendation may be a unit of various functions (options, etc.) provided in a product as well as a product unit. For example, the fitness is determined for each function, and the recommended function is presented. In this case, the customer can easily understand which function should be used (purchased).

  (2) An incentive mechanism such as a discount service may be provided in order for the customer to actively answer the questionnaire (Q & A). For example, information indicating that a privilege such as a discount can be obtained according to a questionnaire response is displayed on a conformity diagnosis page or the like. The sales management system 4 performs information processing so as to give a price discount during contract processing according to the record of the customer's questionnaire response.

  The present invention can be used for marketplaces, EC sites, cloud product sales management systems, and the like.

  1 ... MPS (marketplace system / site), 2 ... marketplace page, 3 ... my page (customer information page), 4 ... sales management system, 5 ... customer (product purchaser) system / terminal, 6 ... (in-house) Product provider system, 7 ... (other company) product provider system, 8 ... Batch processing system (automatic transfer system), 9 ... Payment agency system, 10 ... Conformance diagnosis tool (conformance diagnosis software, conformity diagnosis page, etc.), 11 ... Simple conformity diagnosis processing, 12 ... Detailed conformance diagnosis processing, 20 ... Product portal processing unit, 21 ... Product search processing unit, 22 ... Conformity diagnosis processing unit, 23 ... Usage application processing unit, 40 ... Product management unit, 41 ... Product registration Processing unit 42... Compliance diagnosis registration processing unit 43... Price registration processing unit 50... DB (product diagnostic information DB) 51. 53 ... Price master, 54 ... Application information, 55 ... Contract information, 56 ... Billing information, 60 ... Contract management unit, 61 ... Application examination processing unit, 70 ... Billing management unit, 71 ... Billing information creation processing unit, 72 ... Sales Counting processing unit, 73... Depositing result processing unit, 74... Billing search processing unit, 101.

Claims (11)

A cloud marketplace system for buying and selling products including SaaS at a site on a communication network,
A first processing unit that manages a marketplace page that provides product information to a customer who is a product purchaser;
A second processing unit for managing product information registered by a product manager on the product seller side, and managing information on product purchases and contracts by customers;
A conformity diagnosis unit that performs conformity diagnosis processing between the product and the customer;
A database for storing data information including diagnostic information for the conformity diagnosis;
A third processing unit for performing processing for registering the diagnostic information from the product manager to the database;
A fourth processing unit that performs a process of presenting the result information of the conformity diagnosis to the customer as a result of the conformity diagnosis;
The diagnostic information includes Q & A information for the conformity diagnosis, and diagnostic rule information corresponding to the Q & A information,
The diagnosis rule information includes information for calculating or associating the degree of fitness between the target product and the customer based on the question answer information for the Q & A information by the customer,
The cloud marketplace system characterized in that the result information of the conformity diagnosis includes information on the degree of conformity between the target product and the customer. The cloud marketplace system according to claim 1,
The diagnosis rule information includes information for calculating or associating a product recommended for the customer based on question answer information for the Q & A information by the customer, omitting calculation or association of the fitness level,
The cloud marketplace system, wherein the result information of the conformity diagnosis includes information on a product recommended for the customer. The cloud marketplace system according to claim 1,
A cloud marketplace system characterized in that the product information page of the marketplace page is linked to a compliance diagnosis page to display Q & A information and result information of the compliance diagnosis. The cloud marketplace system according to claim 1,
A processing unit that manages a My Page that provides customer information for each customer;
A cloud marketplace system, wherein the customer information page of the My Page is linked to a page for matching diagnosis, and Q & A information and result information of the matching diagnosis are displayed. The cloud marketplace system according to claim 1,
The cloud marketplace system, wherein the diagnosis information and the result information of the conformity diagnosis include link information to recommended product information. The cloud marketplace system according to claim 1,
The cloud marketplace system, wherein the diagnosis information and the result information of the conformity diagnosis include link information to purchase / contract information of recommended products. The cloud marketplace system according to claim 1,
The cloud marketplace system, wherein the diagnosis information and the result information of the conformity diagnosis include link information to consultation information related to purchase / contract of a system construction product. The cloud marketplace system according to claim 1,
The diagnosis information includes Q & A information for detailed conformity diagnosis regarding the system construction product, and diagnosis rule information corresponding to the Q & A information,
The cloud marketplace system, wherein the fitness diagnosis unit performs a detailed fitness diagnosis process on the system-constructed product. The cloud marketplace system according to claim 1,
The diagnostic information includes Q & A information for conformity diagnosis regarding a plurality of products, and diagnostic rule information corresponding to the Q & A information,
The diagnosis rule information includes information for calculating or associating each degree of conformity between each of the plurality of products and the customer based on question answer information for the Q & A information by the customer;
The result information of the conformity diagnosis includes information on the degree of conformity between each of the plurality of products and the customer, or information on recommended products having a high degree of conformity, and a cloud marketplace system. The cloud marketplace system according to claim 1,
The conformity diagnosis unit
Receiving the request from the customer, obtaining the Q & A information from the database and responding to the customer;
Processing for obtaining answer information input to the Q & A information by the customer;
Processing for obtaining information including customer information of the customer and the diagnostic rule information from the database;
Using the answer information, the customer information, and the diagnosis rule information, a process for determining the degree of conformity between the customer and the product;
A process of determining recommended products according to the degree of fitness;
The cloud marketplace system characterized by performing the process of creating the result information of the conformity diagnosis, responding to the customer and storing it in the database. The cloud marketplace system according to claim 1,
A cloud marketplace system characterized in that the system used by the merchandise manager has a function of registering information including the diagnostic information in the database and referring / editing as necessary.

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