JP4721942B2 - Product shipping system - Google Patents

Description

  The present invention relates to a system for shipping products in the distribution process of foods and the like, and more particularly to a product shipping system that performs demand prediction of products introduced in mass media and determines the shipping amount of products.

In recent years, in the mass media, many programs on life information on the theme of health, beauty, comfortable daily life, etc. have been broadcast. Part of the content includes providing information on products and services to maximize the effects of the problems and problems of each theme. In many cases, viewers are motivated to purchase by such information and desire to purchase products introduced after viewing. However, after the introduction of products, etc. in programs that are particularly socially influential and the transmission of information on products that are of high interest to the general public, consumers rushed into retail stores and There is a situation where the product supply is not in time and the product runs out. In order to solve such a problem, a method is considered in which a wholesaler secures a certain amount of products introduced in the mass media, determines the shipping amount by itself, and sends it to a retail store.
As a system which is a background art of the present invention, there is a system disclosed in Japanese Patent Laid-Open No. 2003-316872, which will be described below.

In a product automatic ordering processing system for ordering products expected to be sold, a database file in which program data indicating broadcast program contents before broadcasting and audience rating data indicating previous audience ratings of the broadcast program are registered; The database file is searched before the program broadcast, and the content of the broadcast program having a high audience rating is extracted, and a product expected to increase in sales by the program broadcast is extracted from the extracted broadcast program content, and an order is placed. An automatic merchandise order processing system comprising a data processing device for processing. Further, the data processing device calculates an order quantity of the ordered product with reference to an inventory amount of the product in a product master file. Further, the database file is registered with the contents of the broadcast program, the broadcast area, and the audience rating data, and the data processing device has the audience rating of the broadcast area corresponding to an installation area of a store that sells the product. It is characterized by extracting high broadcast program contents.
According to these inventions, products introduced in a broadcast program are extracted by analyzing the program data before the program is broadcast, and are processed for ordering before the broadcast. Can be provided. For this reason, it is possible to prevent out of stock and to prevent loss of sales opportunities. In addition, since products that are expected to increase in sales are automatically ordered, it is possible to carry out ordering work without taking extra time for the person in charge of ordering.
Moreover, as a sales prediction method used as the background art of the present invention, there is one disclosed in Japanese Patent Publication No. 2004-334388, which will be described below.

  A sales prediction method for predicting sales of a product, the media information storing step for storing the degree of influence of the media on the consumer's willingness to purchase with respect to the media providing the product information to the consumer, and the media information storage A sales prediction method characterized by including a sales prediction step of predicting sales of a product after providing information by the media based on the influence degree of the media stored in the step. Further, a sales prediction method for predicting sales of a product, the media information storing step for storing the audience rating of the media related to the media providing the product information to consumers, and the media information storing step And a sales prediction step of predicting sales of products after providing information by the media based on the audience rating of the media. The sales forecasting step predicts and calculates the number of orders or delivery of products after providing information by the media. In the sales forecasting step, based on the period required for ordering and / or delivery of the product, the number of orders or delivery of the product is set so that the product is delivered by the time information is provided by the media. It is characterized by predictive calculation.

  As described above, according to the present invention, it is possible to accurately predict sales of products handled on media. Further, by placing an order for or delivering a product based on the forecast of sales, it is possible to make the product lineup after the media introduction appropriate, and to avoid loss of sales opportunities and overdelivery of products. In addition, according to the present invention, for example, instead of presenting an abstract prediction such as “increased product sales”, by presenting a specific prediction of the number of items ordered or delivered, the user is wasted. It is also possible to execute a commercial transaction smoothly and promptly without making any predictions.

Furthermore, as an inventory management system as a background art of the present invention, there is one disclosed in Japanese Patent Laid-Open No. 5-216905, which will be described below.
A first inventory management file having history information of increase / decrease in the amount of goods in the wholesaler, a current quantity information file recording the current quantity of at least one retail store managed by the wholesaler, and use of the retail store A second inventory management file comprising a computer having a program for predicting the ordering quantity and the order quantity from the actual results, the current quantity, and having history information of increase / decrease of the inventory quantity of the products managed by the retail shop. And a personal computer that is connected online with the computer of the wholesaler and has a function of transmitting the current quantity information of the own store stored in the second inventory management file to the computer. Based on the current quantity information of the retail store sent from the personal computer of the retail store and the inventory quantity information of the first inventory management file of the wholesaler, the computer of the wholesaler The order timing and quantity ordered from the retailers predicted by the program, a stock management scheme based on the demand forecast and adjusts its own inventory in accordance with the prediction.

The inventory management method based on the demand forecast of the present invention obtains information on the inventory quantity of each product from a retail store on a daily basis, and stores each inventory store for a certain period of time together with the inventory quantity obtained and accumulated in the past. Inventory quantity, possibility of ordering, and if there is a possibility of ordering, the order quantity is also predicted and compared with the inventory quantity held by itself. If it is predicted that an out-of-stock will occur, place an order with the upper wholesaler in advance and secure the necessary inventory in advance to reduce the occurrence of out-of-stock as much as possible from each retail store. And can respond quickly to the demands of retail stores.
JP 2003-316872 A JP 2004-334388 A JP-A-5-216905

However, the invention concerning the automatic ordering method (Japanese Patent Laid-Open No. 2003-316872) requires pre-broadcast program data as a solving means and acquires broadcast program data in advance. There is a point that a contract between the two is necessary, a point that it cannot be changed to a sudden broadcast time due to the circumstances of the broadcasting company, and it is difficult to obtain detailed information over a wide range of broadcasting areas. Furthermore, although the invention regarding the automatic ordering processing system has been ordered, there is a situation in which it cannot be received due to a shortage of stocks of manufacturers and wholesalers.
Further, the invention regarding the automatic order processing system (Japanese Patent Laid-Open No. 2004-334388) uses program audience rating data as a means for solving sales forecast, but it does not lead to actual sales even when the audience rating is good. There is a case.

In addition, the invention concerning the inventory management system (Japanese Patent Laid-Open No. 5-216905), as a solution, places a shortage order after grasping the inventory quantity of the target department. It is essential to receive the current warehouse data by online connection between “high-rank wholesalers”.
As a result, due to the characteristics of retail stores and trade areas, the products introduced in the mass media are not always sold in the same way as other stores, and there is a problem that the products may be left over. .
Accordingly, the present invention has been made to solve the above-described problems, and an object of the present invention is to provide an automatic shipping system that utilizes newly proposed media information.

A product shipping system according to the present invention is a product shipping system for obtaining a shipping amount to be shipped from a contractor to an orderer of a product whose demand is predicted from media information, and receives media information from a media information receiver that receives media information. Media information acquisition means for acquiring, keyword extraction means for extracting a keyword included in the acquired media information, and shipping product determination means for determining a product related to the keyword extracted using information associated with the keyword and the product And according to the preset priority for each item based on the evaluation information of the person in charge of the contractor for the media stored in association with each media and the transaction performance information on the broadcast date of the media , the entire contribution creating hand to create the contribution of the media for the transaction track record as a whole contribution When the proportion of the shipping amount for the suppliers and the customer-specific contribution database that stores the contribution of the media for each of the suppliers with related inventory amount set in advance with relation to the overall contribution based on the information, the total ship amount determining means for determining a rate associated with the overall contribution of the created against the inventory amount of the product as a whole ship weight, the suppliers of the shop scale and suppliers deal size using Shipping destination index determining means for determining a shipping destination rank as an index for determining a ratio of the shipping amount for each of the suppliers in the total shipping amount, and the total shipping amount as the shipping destination index. before the contribution of the media for each of the suppliers for each of the shipping amount suppliers each shipment quantity determining means for determining said customer-specific contributions stored in the database suppliers allocate according to A contribution difference calculation means for obtaining a difference between the total contribution, in response to said suppliers deal size, corresponding to the difference between the contribution of the media for each of the customer and the total contribution, the total contribution When the degree is larger, the shipping amount is decreased, and when the degree of contribution of the media for each customer is larger, the percentage information is increased, and the contribution rate difference is set. Shipment amount increase / decrease means for each supplier that extracts the ratio information corresponding to the difference in contribution calculated by the calculation means and the transaction scale of the supplier, and increases or decreases the shipment amount for each supplier based on the extracted ratio information. And . Note that the product shipping system according to the present invention can also be regarded as an automatic product ordering system.

As a result, it is possible to automatically determine products for which demand is generated from the media information. Moreover, the contribution degree by the media with respect to the transaction performance of goods can be reflected in the dispatch amount in the stock of object goods. That is, it is possible to determine the total shipping amount in consideration of the influence on the product sales of the media. In addition, because it is possible to preferentially determine the shipping amount for each business partner that has a high possibility of selling the target product from the business partner's shipping destination index, sufficient products are available at the time of sales. The quantity can be shipped to each customer.
Further, since the degree of media contribution for each business partner can be obtained and the shipping amount for each business partner of the target product can be determined accordingly, a sufficient product amount can be shipped to each business partner without being left over.

  In the embodiment, each means is described as a function of the server. However, it can be realized by linking a plurality of servers, and can be constructed using a plurality of computers as well as a single computer. In addition, although it is explained that the server has a function, it can also be implemented by a model other than the server client system model. For example, each means is implemented in the computer on the orderer side, and necessary information is obtained by each means. A configuration can be adopted in which transmission is performed from the computer on the contractor side.

Media information includes television program information, radio program information, information obtainable from the Internet, and the like. The media are TV programs and radio programs. Media on the Internet is a media information program distributed from computers having the same domain name. For example, media information distributed from a WWW server of a certain newspaper company and media information distributed from a WWW server of another newspaper company are information on different media. However, even media information distributed from a newspaper company's WWW server may be different media information, and the media can be defined by categories such as economic information, political information, and sports information.
The contribution level and the index are specifically rank, score, deviation value, and the like.
The storage means corresponds to a magnetic storage device, an optical storage device, a semiconductor storage device, or the like.

The product shipping system of the present invention, as necessary, from the client used by the orderer , transaction results on the broadcast date of the media, evaluation information of the person in charge of the contractor for the media, the overall contribution, and the media A weight setting information receiving means for receiving weighting information for the evaluation information of the person in charge of the orderer with respect to the transaction information on the broadcast date of the media using the weighting information received by the weight setting information receiving means, the media the evaluation information of the contractor of the person in charge for, from the evaluation information of the purchaser of the person in charge for the entire contribution and before Symbol media, is intended to determine the contribution of the media for each of the customer. Thus, the Purchase Order shall, as regards information that has been provided by the contractor, it can be flexible to reflect the evaluation with respect to the target items of ordering party, the subject goods while line with the sales situation was also based also the intention of the purchaser The degree of media contribution for each business partner can be calculated.

(6) The product shipping system according to the present invention is a product shipping system for obtaining a shipping amount to be shipped from the contractor of the product whose demand is predicted from the media information to the orderer as necessary. It further includes target media determining means for determining whether or not the target medium is set, the keyword extracting means 3 extracts a keyword included in the media information that was the target medium, and the shipping product determining means determines whether the keyword and the product are It is to determine a product that has triggered demand related to the keyword recorded using the associated information.

As a result, in addition to (1), even if an unexpected situation such as a program change due to program organization occurs from the media information provider side, it is possible to reliably and accurately determine the product for which demand is generated from the media information. It becomes possible.
These outlines of the invention do not enumerate the features essential to the present invention, and a sub-combination of these features can also be an invention.

The present invention can be implemented in many different forms. Therefore, it should not be interpreted only by the description of the following embodiments. In addition, the same reference numerals are given to the same elements throughout the embodiments.
In each embodiment, the system will be mainly described. However, as will be apparent to those skilled in the art, the present invention can also be implemented as a program and method usable in a computer. In addition, the present invention can be implemented in hardware, software, or software and hardware embodiments. The program can be recorded on any computer-readable medium such as a hard disk, CD-ROM, DVD-ROM, optical storage device, or magnetic storage device. Furthermore, the program can be recorded on another computer via a network.

  The database can be constructed on one computer that constructs the server, but it is constructed separately on another computer so that the server can connect to the other computer and acquire desired data as necessary. You can also. It is also possible to construct a plurality of databases on one computer.

(First embodiment of the present invention)
A first embodiment of the present invention will be described with reference to FIGS.
The product shipping system according to the present embodiment includes a server 44 (server computer) installed at a food wholesale company and a client 86 (client computer) installed at a customer. The television receiver 42, which is a media information receiver, and the server 44 are electrically connected. As an example of a specific configuration, a device of the television receiver 42 is connected to a PCI slot in the computer of the server 44. Of course, a configuration in which a television receiver is installed outside the computer housing of the server 44 and connected via USB may be employed. In addition, a server for a television receiver can be constructed separately from the server 44, and this dedicated server can be configured to transmit broadcast information as media information to the server 44 of the product shipping system. In the relationship between the food wholesaler and the customer, the food wholesaler is the contractor and the customer is the orderer. In the present embodiment, the present invention will be described with respect to a relationship between a food wholesaler and a customer. However, it is obvious that the present invention can also be applied to a relationship in which a food wholesaler is an orderer and a manufacturer is a contractor. Further, the customer is a business partner having a high priority in the business transaction.

FIG. 1 is a conceptual diagram of a product shipping system according to the present embodiment. The server 44 of the food wholesale company acquires information (programs) related to products etc. from mass media such as television and the Internet, and extracts, analyzes and judges such information. For example, the product name information is XX company soy sauce, XX company honey, and the food type information is agar or bittern. Information on the extraction result, analysis result, and determination result is transmitted to the client 86 of the customer, and the client 86 confirms the quantity, type, amount, etc., and approves the order. Further, the server 44 determines the quantity, type, amount, etc., and confirms the inventory and places an order with the manufacturer based on the confirmed inventory. The product ordered by the manufacturer is notified again to the client 86 of the customer, and if the order is notified and the approval is obtained, the product is shipped to the retail store of the retail company.
FIG. 2 is a block diagram of the commodity shipping system according to the first embodiment.

  The server 44 includes media information acquisition means 1 for acquiring broadcast information from the television receiver 42, target media determination means 2 for determining whether the acquired program information is a preset target program, and the acquired Keyword extracting means 3 for extracting a keyword included in program information, shipping product determining means 4 for determining a product related to the keyword extracted using information associated with the keyword and the product, and transaction of the target TV program The total contribution creation means 5 for creating the total contribution of the TV program using the actual value and the contractor setting index for each TV program set by the contractor, and the shipping amount in the inventory quantity of the target product is determined from the total contribution. Ship destination index deciding unit for determining a ship destination index for each business partner using the total shipping amount determination means 6 and the store scale of the business partner and the business scale of the business partner 7, it consists of suppliers each shipment quantity determining means 8 which determines the shipping amount for each partner from ships weight and the shipping destination indicator in stock amount of the obtained Shipping.

The server 44 also includes useful information providing means 9 for transmitting at least one of a transaction record, a contractor setting index, and an overall contribution level to the client 86, and an orderer setting index set by the orderer from the client 86 for the target TV program. Orderer setting index receiving means 14 for receiving the information, and the media contribution degree for each supplier that creates the media contribution degree for each supplier (program contribution degree for each supplier) from the transaction results, the orderer setting index and the orderer setting index Creation means 11, contribution difference calculation means 12 for obtaining a difference between the created program contribution for each supplier and the overall contribution, and a transaction for increasing / decreasing the shipping amount for each supplier based on the obtained difference in contribution It further has a destination-by-destination amount increase / decrease means 13.
[Delivery product decision]
The determination of the shipping amount will be described below with reference to FIGS.

  FIG. 3 is a flow sheet for creating shipping merchandise information according to the present embodiment. First, the television receiver 42 as a media receiver receives program information as media information (S301). Here, the received program information can be received from media other than the television, and includes radio, the Internet, and the like. The received program information is transferred to the server (S302). The media information acquisition unit 1 of the server 44 receives program information transmitted from the television receiver 43 in each region (S303). The program information to be received is preferably received in units of programs. There are already known techniques for receiving in units of programs, but for example, it is possible to receive in units of programs by program schedules and CMs. In addition, there is a mechanism using EPG (electronic program guide). Even in the same program, the broadcast time may vary depending on each region, and the local special product may be handled depending on the program.

  The target media determination means 2 determines whether the target program is included in the target media (S304). For example, it is a program or a life information program that is generally popular with the public. Here, commercial broadcasting is excluded. However, TV program advertisements can also be regarded as TV programs in distinction from general commercials, and it is possible to quickly catch up the program advertisements before the actual TV program broadcasts and perform a quick product shipping process. The program date and time set in step 304 is confirmed, and it is determined whether or not the program is the target program. If it is not a target program, the program ends. Programs that are not target programs include programs that are broadcast when the program organization is changed for the convenience of the broadcasting station.

  If it is a target program, broadcast information such as broadcast time and broadcast area is acquired and stored in the storage means (S305). The keyword extraction means 3 extracts keywords and stores the extracted keywords in the storage means (S306). Further, the shipping merchandise determination means 4 refers to the keyword type classification and the overall contribution (S307), determines the merchandise to be shipped from the keyword, and creates the shipping merchandise information (S308).

  In the present invention, since broadcasted information is processed after reception, a contract between the data using company and the broadcasting company for acquiring program information in advance is not necessary. Even if the broadcasting time suddenly changes due to the circumstances of the broadcasting company or when it is difficult to obtain detailed information in a wide broadcasting area, detailed information is determined by the number of receivers installed and the range and processing time settings. Acquisition and response processing are also possible.

  FIG. 4 is a block diagram of determining shipping merchandise information according to the first embodiment. First, a program is broadcast from the television broadcasting station 41 through radio waves. In area A, the television receiver 42 receives broadcast radio waves and transmits a program obtained by the television receiver 42 to the server 44. Programs obtained by the television receivers 43 in the regions B, C, and D are also transmitted to the server 44. In the server 44, program information is stored in an audio DB (Date Base) 45. The target media determination means 2 determines whether or not the stored program information is a target program. Here, it may be determined whether or not the program information is a target program after voice recognition of the program information. Here, when the broadcast area and broadcast time of the target program are not acquired, they are acquired. Note that not only the voice but also characters in the motion frame image can be used, and the same applies to the keyword extracting means 3.

  The keyword extraction means 3 extracts keywords from the program information and stores them in the KW (keyword) information DB 46. Regarding keyword extraction, there are a plurality of well-known techniques, and those skilled in the art can apply the well-known techniques to the present embodiment, and the details are omitted. Based on the information associated with the product and the keyword stored in the KW type DB 47, the shipping product determination means 4 inquires the keyword stored earlier and determines the product (see FIG. 5). The server 44 reads the overall contribution rank of the target program from the program contribution achievement DB 48 after processing for obtaining the overall contribution described later, combines it with other information, creates the shipping product information, and stores it in the shipping product information DB 48. Store.

  FIG. 5 is an example of information extraction from a broadcast such as a television set according to the first embodiment. First, keyword extraction / storage by the keyword extraction means 3 will be described. The attribute information is included in the media information, and includes a program name, a broadcasting area, a broadcasting time, and a keyword. Examples of keywords are Yamada sign, honey, bittern, etc. The program name “A1”, the broadcast area “P2”, the broadcast time “T1”, and the keyword “A3-1” are the keyword “A3” in the program name “A1” in the broadcast time “T1” of the broadcast area “P2”. -1 "is issued.

  Next, keyword type classification will be described. The keyword type category attribute information shown in FIG. 5 includes a product name, a product category, a product form, and a related keyword. Related keywords are preset in the server 44. The shipping product determination means 4 determines the product by matching the keyword extracted from the program information with the related keyword. In FIG. 5, “A3-1” and “A3-2” are keywords for determining the product name “B1”, and “A4-1” is a keyword for determining the product classification “D2”. In the keyword type classification, related keywords related to product names can be artificially added using MBR (Memory Based Reasoning), which is one method of data mining.

  FIG. 6 is an example of the shipping merchandise information according to the first embodiment. The information attribute is roughly divided into two items, product information and broadcast information. The attribute information of the product information includes a product name, product classification, product form, and order classification. Attribute information of broadcast information that is program information is a broadcast area, a broadcast time, a program name, and a contribution rank that is the overall contribution of the media. The overall contribution rank will be described below.

[Create media contribution rank]
The media contribution rank creation will be described below with reference to FIGS.
FIG. 7 is a flowchart for creating a program contribution rank according to the first embodiment. First, in the server 44, the transaction record storage means accumulates program contribution information that is a transaction record with a past customer (S701). The program contribution level information is not limited to the past transaction record with the business partner, but may be the past contractor setting index and the past overall contribution level. The overall contribution creation means 5 creates an overall contribution rank for each program, which is the overall contribution of the media, based on the contractor setting index included in the program contribution information and the past transaction record (S702). Program contribution information is divided and created for each customer from the program contribution information (S703). The customer who is the orderer can use the client 86 to refer to useful information including transaction results, contractor setting index, and overall contribution as program contribution information for each customer and each program (S704). Here, the server 44 includes useful information providing means 9 for providing useful information to the client 86. The customer, who is a business partner, designates the program contribution degree, which is the orderer setting index, from the client 86 as necessary using a computer (S705). Here, the server 44 can include an orderer index receiving means for receiving information on the orderer index performed by the client 86. Based on the information, the supplier media contribution creation means 11 creates a contribution rank for ordering, which is the media contribution for each supplier (S706). In this embodiment, the program contribution information is once created in S703, but the orderer setting index from the client 86 is received without processing S703, and the transaction result, the orderer setting index, and the orderer setting index are received. Program contributions can be created for each business partner.

  FIG. 8 is a block diagram of creating a program contribution rank according to the first embodiment. The server 44 uses the program contribution information stored in the program contribution record DB 48 serving as a transaction record storage means to create a customer contribution in the customer contribution information DB 82. Using the client 86, the customer can refer 81 to useful information for contribution information. The useful information is, for example, transaction results, contractor setting index, overall contribution, and contribution by customer. Information provided by each DB and server 44 is provided to the customer appropriately through the useful information providing means 9. can do. Further, the customer can use the client 86 to make a contribution designation 83 that is an orderer setting index. The orderer setting index receiving means 14 receives the contribution degree designation information that is the orderer setting index and stores it in the contribution rank DB (customer designation) 84 of the program of the server 44. From the contribution rank DB (customer designation) 84 information and the customer-specific contribution information DB 82, the server creates a program contribution rank for each customer, which is a media contribution for each customer. Note that information on the overall program contribution rank, which is the overall contribution, can also be stored in the contribution rank DB (for ordering process) 85.

  FIG. 9 is an explanatory diagram of a program contribution rank according to the first embodiment. First, the creation of the overall program contribution rank will be described. The information attributes are the program name that is program information, the contribution rank that is the overall contribution degree, the person-in-charge recommendation rank that is the contractor setting index, the contribution record (1) that is the transaction record, its broadcast date, and the contribution record ( 2) and its broadcast date. The person-in-charge recommended rank is an evaluation of a person in charge at a wholesale company for a program. In FIG. 9 (1), the program name is “A1”, the contribution rank is “A”, the person-in-charge recommendation rank is “A”, and the contribution record (1) when the broadcast date is January 3, 1994 is “A”. “The contribution record (2) for the broadcast date of December 2, 1993 is“ B ”. Here, all ranks are calculated by converting “AA” to rank “n” into numbers. The contribution rank is determined by the overall contribution creation means 5 from the person-in-charge recommended rank, the contribution record (1), and the contribution record (2). Each decision factor can also be weighted at the time of determination. For example, if the person in charge recommended rank is “70%”, the latest record is “20%”, and the old record is “10%”, the person in charge The recommended rank is prioritized at the time of decision, and if the person in charge recommended rank is “10%”, the latest result is “50%”, the old 1 is “30%”, the old 2 is “10%”, the actual rank is decided The overall contribution is created with priority. Here, in this example, there is only a contribution record (2), but there may naturally be a subsequent contribution record (n).

  Next, description will be made regarding the creation of the program contribution rank by customer (reflecting the specification of customer contribution). The attribute information includes a program name, a contribution rank, a customer designation rank as an orderer setting index, a person-in-charge recommendation rank, a contribution record (1), and a contribution record (2). Here, the customer designation rank is an evaluation of the program of the person in charge of the customer. The media contribution creation means 11 for each supplier obtains a contribution rank based on a customer designated rank, a person-in-charge recommendation rank, a contribution record (1), and a contribution record (2). Similarly to the overall contribution, weighting can be performed to determine a contribution rank that is a program contribution for each business partner.

  FIG. 10 is an explanatory diagram of a customer-designated contribution rank according to the first embodiment. Examples 1 to 3 show specific examples of a method for obtaining a final contribution rank, which is a media contribution for each business partner. Here, the final contribution rank is obtained from the client 86 by reflecting the respective weights from the transaction results, the contractor setting index, the overall contribution, and the orderer index. The server 44 includes weight setting information receiving means 10 that receives weight setting information for a transaction result, a contractor setting index, an overall contribution, and an orderer setting index from the client 86. By using the weight setting information received by the media contribution creation means 11 for each supplier, the media contribution for each supplier is obtained from the transaction results, the contractor setting index, the overall contribution, and the orderer index. First, in Example 1, a score is set for each rank as a rank score table. “AA” is “40 points”, “A” is “25 points”, “B” is “20 points”, “C” is “10 points”, “D” is “3 points”, “E” is “ “2 points” means a total of 100 points. As attribute information, there are customer designation, person-in-charge recommendation rank, latest contribution degree, contribution record (1), contribution record (2). For each attribute information, a product of the quantity obtained by replacing the rank with a score and a ratio (%) according to the contribution is obtained, and divided by 100 to obtain a score. The final contribution rank is obtained by comparing the value obtained by the weighted average with a score table of ranks prepared in advance. In example 1, the customer specified rank is “AA”, “50%”, the person-in-charge recommendation rank is “A”, “20%”, the latest contribution level is “A”, “15%”, and the contribution record (1 ) Is “A” and “10%”, and the contribution record (2) is “B” and “5%”. Specifically, assuming that the customer designation rank “AA” is “40 points”, the product of “50%” is 2000, and the score divided by 100 is “20.00 points”. Similarly, the score of the person in charge recommended rank is “5.00 points”, the latest contribution degree is “3.75 points”, the contribution record (1) is “2.50 points”, and the contribution record (2) is “1.00 points”. Then, when these points are added up, it becomes “32.25 points”, and when one's place is rounded off, it becomes “30 points”. In comparison with the rank score table, the score of the closest rank is “25 points”, and the final contribution rank is “A”. Of course, the final contribution rank may be obtained using a table in which the score is specified for each rank. Examples 2 and 3 are specific examples similar to Example 1.

FIG. 11 is an example of screen information according to the first embodiment.
The contribution information reference 81 screen includes (1) a difference in the total number of deliveries before and after the broadcast, (2) a difference in the number of deliveries by store type before and after the broadcast, and (3) a day after the broadcast. The number of deliveries is displayed. Thus, the customer can determine the degree of program contribution for each program.
In addition, on the screen of contribution designation 83, selection of (1) rank designation or (2) weighted average designation with performance rank is displayed for each program. Thereby, the customer can set the customer designated rank and the weight.

[Determine shipping amount]
The determination of the shipping amount will be described below based on FIGS.
FIG. 12 is a flowchart for determining the shipping amount to the store according to the first embodiment. The server 44 reads the shipping product information (S1201). The server 44 extracts the store of the supplier of the wholesaler who is the contractor (S1202). That is, the contractor who receives the service by this system from all contractors is specified. The total shipping amount determination means 6 determines the total order quantity in the inventory of the target product from the program total contribution rank which is the total contribution (S1203). The shipping destination index determination means 7 ranks the shipping destination of the product that is the shipping destination index for the target product by determining the shipping destination index for each business partner using the store scale of the business partner and the business scale of the business partner. (S1204). The server 44 ranks the shipping order of the products (S1205). The server 44 determines whether there is inventory (S1206). If there is no stock, the server 44 performs an ordering process to the manufacturer (S1207). If there is a stock, the shipping amount determination means 8 for each business partner that determines the shipping amount for each business partner from the shipping amount in the stock quantity of the target product and the shipping destination index determines the shipping amount to each store to the customer. (S1208). Then, the client 86 approves the shipment of the product of the shipping amount determined by the customer (S1209).

  Thereby, regardless of the inventory quantity of the customer (retail store), it is possible to increase the sales of the customer by strategically delivering “sellable products” “when it can be sold”. With regard to the wholesaler's inventory, the main objective is to replenish in anticipation of the shipment volume of “sellable products” on the assumption that the current inventory quantity changes every moment. In addition, by calculating the shipping amount in consideration of the “current” inventory amount and differentiating the shipping destination based on the overall transaction rank, a more detailed response can be made. For this reason, it is possible to predict the amount that the product broadcast on the media can be sold, and a sufficient amount can be shipped from the wholesaler to the store without leaving the product.

  FIG. 13 is an example of data for determining the shipping amount by destination according to the first embodiment. First, a store of a wholesaler's business partner will be described. The attribute information includes a broadcasting area, a supplier name, and a type. The type attribute information includes the store size (large, medium, small) and the number of stores. For example, the broadcasting area is “P2”, the supplier name is “Company A”, the type is “Super”, and the size of the supermarket is 3 for large, medium, and small. In this example, “10 stores” and “20 stores” are small. An example in which the broadcast area is “P2”, the customer name is “Company C”, the type is a convenience store, the store size is “10 stores”, the inside is “50 stores”, and the small is “10 stores”. Show. As a specific example, the number of large-scale supermarkets of Company A in the broadcasting area of Kamakura City is five.

  As for the transaction scale rank of the business partner, the business scale rank is determined according to the record of sales of the business partner name A company. For example, in FIG. 13, when the business partner is “Company A”, the transaction scale rank is “2”, when “Business B” is “transaction scale rank” is “5”, and when “C company” is “Transaction scale rank” is “ 3 ”.

  The total shipping amount from the program contribution level is determined by the total shipping amount determination means 6 based on the overall program contribution rank which is the contribution level shown in FIG. For example, when the overall program contribution rank is “AA”, the total shipment amount is “95%”, and when the overall program contribution rank is “A”, the shipment amount is “90%” (FIG. 13 ( 3) See (5)).

  The shipping destination index, which is the shipping destination index, is determined by the shipping destination index determination means 7 based on the store scale and the transaction scale rank. The shipping destination rank is higher as the store size is larger for the same transaction scale rank, and when the store size is different, the shipping destination rank is higher as the transaction scale rank is higher. For example, when the supplier name is “Company A”, the type is “Super”, the store size is “Large”, and the transaction size rank is “2”, the supplier name “Company A”, the type is “Super”, and the store size is Compared to the case of “medium” and the transaction scale rank “2”, the store rank is higher when the store scale is larger. In addition, when the supplier name is “Company A”, the type is “Super”, the store size is “Medium”, and the transaction size rank is “2”, the supplier name “C Company”, the type is “Super”, the store size Compared to the case of “Large” and transaction scale rank “3”, the store scale is smaller for “Company A”, but the number of transaction scale rank is smaller for “Company A”. Is a higher rank than the shipping destination rank of “Company C”.

The shipping amount for each shipping destination, which is the shipping amount for each business partner, is determined by the shipping destination rank in the total shipping amount from the overall program contribution degree rank by the shipping amount determination means 8 for each business partner. For example, the total shipment amount from the overall contribution rank “A” is “90%”, and the remaining inventory is “10%”. Here, “90%” of the total shipping amount with respect to the stock is allocated according to the shipping destination rank. For example, among “90%”, supermarket of company A is “30%”, supermarket of company A is “25%”, supermarket of company B is “3%”, company B The server 44 automatically determines that the supermarket (medium) is “2%”, the convenience store (large) of the company C is “20%”, and the convenience store (medium) of the company C is “10%”. It should be noted that in order to replenish inventory, it is possible to recalculate the ordering allowance as “100% or more (eg, 120%)” as a whole and to process the shortage to the manufacturer. Further, it is possible to calculate the entire order quantity for each store and perform ordering processing for the quantity for securing the current number of warehouses to the manufacturer.
FIG. 14 is an example of customer shipment amount determination data (customer is rank designation process) according to the embodiment of the present invention. Of course, a configuration without the processing according to FIG.

  The contribution difference calculation means 12 for obtaining the difference between the created media contribution for each business partner and the overall contribution compares the overall contribution contribution designation rank with the program. The shipping amount increase / decrease means 13 for each business partner that increases or decreases the shipping amount for each business partner based on the calculated difference in the degree of contribution reflects the difference from the overall program contribution degree designation rank based on the transaction scale rank in the shipping amount. For example, the supermarket (large) of company A has a program contribution rank of “AA” for each business partner. Since the overall program contribution rank is A, the difference is +1. Here, the additional shipping amount% or the reduced shipping amount% with respect to the difference between the transaction scale ranks 1 to 5 and the overall program contribution rank (from +2 to -2) is determined (the lower table in the center of FIG. 14). . Based on this table, since the transaction scale rank is “2” and the difference from the overall program contribution rank is +1, the additional dispatch amount is determined to be “3%”. In addition to the additional shipping amount “3%” based on the shipping destination rank “a”, the supermarket (Large) of Company A sets the shipping amount to “33%”. Further, the supermarket (medium) of company A has a shipping amount of “25%” based on the transaction scale rank “b”, and the customer designated rank is “AA”. Since the overall program contribution rank is “A”, the difference is “+1”. Since the additional shipping amount is “3%”, the shipping amount is “28%” obtained by adding “3%” to “25%”. Here, B supermarket (large) and (medium) and C company's convenience store (large) and (medium) have no difference in contributions, and there is no additional shipping or deletion shipping, so there is no change in the shipping amount. . Therefore, the supermarket (large) of company B is “3%”, the supermarket (medium) of company B is “2%”, the convenience store (large) of company C is “20%”, and the convenience store (medium) of company C is “ 10% ". The total amount of each shipment is “96%”.

  As a result, since a change occurs in the total ratio as the total shipping amount, the shipping amount increasing / decreasing means 13 for each business partner adjusts the shipping amount again. Specifically, the total shipment amount was “90%” due to the overall program contribution rank, but when the total shipment amount became “96%” due to the addition of the shipment amount due to the customer specified rank, The server 44 automatically recalculates “96%” so that the whole becomes “90%”. Then, the supermarket of Company A is “30.9%”, the supermarket of Company A is “26.3%”, the supermarket of Company B is “2.8%”, The supermarket (medium) is “1.9%”, the convenience store (large) of company C is “18.8%”, and the convenience store (medium) of company C is “9.4%”. The total of these shipment amounts is “90%”. As a result, the total amount of shipment including the inventory becomes “100%”.

[Determine shipping order]
FIG. 15 is an example of shipping order rank data according to the first embodiment.
First, the product name and broadcast time of the product shipping information are extracted. For example, the product name is “B1” and the broadcast time is “T1”. Next, the target use time zone with respect to the broadcast time is extracted. For example, in the case of “broadcast time 20: 00-”, the supermarket is “11:00” and the convenience store is “21:00”. When the broadcast time is “24: 00-00”, the convenience store is “21:00” and the supermarket is “16:00”. Further, when the broadcast time is “7: 00-00”, the supermarket is “16:00” and the convenience store is “21:00”. Then, as the store opening time / main usage time zone, the business name, type, opening time (T01) and main usage time zone (first time T02, second time T03) in the transaction scale are extracted. For example, the business partner name is “Company A”, the type is “Super”, the opening time of the large scale is “10:00”, and the main usage time zone is “Twelve 12:00” for T02 and “16:00” for T03. " This case is referred to as Case1.

In addition, the opening time of the customer name “Company A”, the type “Super”, and the scale “Medium” is “10:00”, and the main usage time zone is “Twelve hours” “T02” and “T03” 16:00 ". This case is referred to as Case2.
Further, the opening time of the customer name “Company C”, the type “Convenience Store”, and the scale “Large” is “7:00”, and the main usage time zone is “T02” is “17:00”, T03 is “21:00”. This case is referred to as Case3.

  Next, the dispatch amount allocation setting to the target time zone is performed. The allocation is “100%” for Case 1, “50%” for Case 2, and “50%” for Case 3. In addition, when there are three patterns of “10:00 arrival”, “15:00 arrival”, and “20:00 arrival” as distribution of the shipping amount, “10:00 arrival” is “100%” in Case 1 To do. In Case 2, “10:00 arrival” is set to “50%”, and “15:00 arrival” is set to “50%” of the remaining allocation. In Case 3, “50%” is allocated to “20:00 arrival”, and “50%” of the remaining portion is allocated “25%”, and distributed to “10:00 arrival” and “15:00 arrival”. Finally, the shipping amount to the store is determined by dividing the shipping amount for each shipping destination determined by the contribution rank from the supplier name, type, and scale information by the number of stores. For example, in Case 1, the quantity obtained by dividing the total “30%” shipping amount of rank “a” by the number of stores 5 is the shipping amount to each store. The arrival time at each store is “100%” for “10:00 arrival”. Further, in Case 2, the quantity obtained by dividing the total “25%” shipping amount of rank “b” by the number of stores “2” is the shipping amount to each store. The arrival time at each store is “50%” for “10:00 arrival” and “50%” for “15:00 arrival”. In Case 3, the quantity obtained by dividing the total “3%” shipping amount of rank “c” by the number of stores “5” is the shipping amount to each store. In Case 3, “10:00 arrival” is “25%”, “15:00 arrival” is “25%”, and “20:00 arrival” is “50%”.

  As a result, it is possible to grasp the characteristics of the customers who visit the store based on the products broadcast on the television and the like, the broadcast time zone of the television, and the opening time of the store, and accurately predict the amount that the product can be sold. In addition, by making it possible to set the arrival time of a product in accordance with the target usage time zone, it is possible to perform shipping in consideration of the space on the store side.

(Other embodiments)
[Product delivery decision system]
The shipping order determining means has shipping destination rank information, shipping volume information to each store, merchandise arrival time information, and the like. Based on these pieces of information, it is possible to determine a delivery priority rank and a delivery route for preferentially delivering a product to a business partner having a high delivery destination rank. Therefore, the product delivery determination system can include delivery order determination means and delivery route determination means based on the shipping rank information, the shipping amount information to each store, the product arrival time, the store location information, and the like. Thereby, efficient product delivery can be performed preferentially from a customer with a large amount of product shipment.

[Inventory adjustment system]
In the shipment amount determination means, the inventory amount decreases every time the inventory is shipped, and therefore, it is necessary to always replenish the inventory. Therefore, the inventory adjustment system includes an inventory adjustment unit that is linked to normal inventory management or a product ordering system, so that it is possible to always hold a certain amount of inventory. In addition, the inventory adjusting means can recalculate the already calculated shipping amount together with the inventory if the merchandise shipping approval is not obtained from the retail company. As a result, it is possible to stably supply the product to the sales company without ordering the product more than necessary from the manufacturer.

  Although the present invention has been described with the above embodiments, the technical scope of the present invention is not limited to the scope described in the embodiments, and various modifications or improvements can be added to these embodiments. . And embodiment which added such a change or improvement is also contained in the technical scope of the present invention. This is apparent from the claims and the means for solving the problems.

[Appendix] The following appendices are further disclosed with respect to the embodiment.
(Appendix 1)
A product delivery system for obtaining a delivery amount to be sent from a contractor of a product whose demand is predicted from media information to an orderer, media information obtaining means for obtaining media information from a media information receiver for receiving media information; A keyword extracting means for extracting a keyword included in the acquired media information, a shipping product determining means for determining a product related to the keyword extracted using information associated with the keyword and the product, and a past business partner An overall contribution creation means for creating the overall contribution of the target media using the transaction results, an overall shipment quantity determination means for determining the shipment quantity in the inventory quantity of the target product from the overall contribution, Ship destination index determining means for determining a ship destination index for each business partner using the store scale and the business scale of the business partner, and the presence of the obtained target product. Shipment system comprising a sending amount and suppliers for each shipment quantity determining means for determining a dispatch of each partner from the shipping address indicator in the amount.

(Appendix 2)
A product shipping system for obtaining a shipping amount to be shipped from a contractor to an orderer of a product whose demand is predicted from media information,
Media information acquisition means for acquiring media information from a media information receiver for receiving media information, keyword extraction means for extracting keyword information included in the acquired media information, and information associated with a keyword and a product Shipment product determination means for determining a product related to the extracted keyword information, and shipping amount determination means for each supplier that determines the shipping amount for each supplier in the inventory quantity using the store scale of the supplier and the transaction scale of the customer Product shipping system including

(Appendix 3)
Transaction result storage means for recording past transaction results with the business partner, and the transaction results of the target media are read from the transaction result storage means, and the transaction results of the target media and the contractor for each media set by the contractor Including an overall contribution creation means for creating the overall contribution of the media using the set index, and an overall shipment quantity determination means for determining the overall shipment quantity in the inventory quantity of the target product from the overall contribution degree. The commodity shipping system described in the above supplementary note 2, wherein the shipping amount determining means determines the shipping amount for each business partner with respect to the entire shipping amount determined.

(Appendix 4)
Useful information providing means for transmitting at least one of a transaction result, a contractor setting index, and an overall contribution to the client; an orderer setting index receiving means for receiving an orderer setting index set by the orderer for the target medium from the client; , The media contribution creation means for each supplier that creates the media contribution for each supplier from the transaction results, the contractor setting index and the orderer set index, and the difference between the created media contribution and the overall contribution for each supplier The additional amount difference calculating means for calculating the distribution amount and the additional amount increasing / decreasing means for each supplier based on the determined difference in contribution degree. Product shipping system.

(Appendix 5)
It further includes weight setting information receiving means for receiving weight setting information for a transaction result, a contractor setting index, an overall contribution level, and an orderer setting index from a client, and weight setting information received by the media contribution level creation means for each supplier. The product shipping system described in the above supplementary note 4, which uses the transaction results, the contractor setting index, the overall contribution level, and the orderer setting index to determine the media contribution level for each business partner.

(Appendix 6)
Target product for determining whether or not the acquired media information is a preset target media, which is a product delivery system for obtaining a delivery amount to be sent from a contractor to an orderer of a product whose demand is predicted from media information It further includes a judgment means, the keyword extraction means extracts keywords included in the media information that was the target media, and the shipping product determination means stimulates demand related to the keywords recorded using the information related to the keywords and products. The commodity shipping system according to Supplementary Note 1, wherein the commodity is determined.

It is a key map of the goods dispatch system concerning a 1st embodiment. It is a block diagram of the goods dispatch system concerning a 1st embodiment. It is a flow sheet of dispatch merchandise information decision creation concerning a 1st embodiment. It is a block diagram of dispatch merchandise information determination concerning a 1st embodiment. It is an example of the information extraction from broadcasts, such as a television, which concerns on 1st Embodiment. It is an example of the shipping merchandise information data according to the first embodiment. It is a flow sheet of program contribution rank creation concerning a 1st embodiment. It is a block diagram of the program contribution rank creation according to the first embodiment. It is explanatory drawing of the program contribution rank based on 1st Embodiment. It is explanatory drawing of the contribution rank of customer designation | designated which concerns on 1st Embodiment. It is an example of the screen information which concerns on 1st Embodiment. It is a flowchart of the dispatch amount determination to the store which concerns on 1st Embodiment. It is an example of the data of the determination of the shipping amount classified by shipping destination which concerns on 1st Embodiment. It is an example of customer dispatch amount determination data (customer is rank designation process) according to the first embodiment. It is an example of the data of the shipping order rank which concerns on 1st Embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Media information acquisition means 2 Target media judgment means 3 Keyword extraction means 4 Shipment goods determination means 5 Total contribution creation means 6 Total dispatch quantity determination means 7 Shipment destination index determination means 8 Shipment amount determination means for each supplier 9 Useful information provision means DESCRIPTION OF SYMBOLS 10 Weight setting information reception means 11 Partner contribution creation means 12 for each supplier 12 Contribution difference calculation means 13 Shipping amount increase / decrease means for each supplier 41 Television broadcasting station 42 Television receiver 43 Television receivers 44 in regions B, C, and D 44 Server 45 Voice DB
46 KW information DB
47 KW type DB
48 Program Contribution Achievement DB
49 Shipping Product Information DB
81 Refer to contribution information 82 Contribution information DB by customer
83 Contribution level designation 84 Contribution rank DB (customer designation)
85 Contribution rank DB (for order processing)
86 clients

Claims (2)

A product shipping system for obtaining a shipping amount to be shipped from a contractor to an orderer of a product whose demand is predicted from media information,
Media information acquisition means for acquiring media information from a media information receiver for receiving media information;
Keyword extracting means for extracting keywords included in the acquired media information;
A shipping product determination means for determining a product related to the keyword extracted using information associated with the keyword and the product;
Based on the evaluation information of the person in charge of the contractor for the media stored in association with each media and the transaction performance information on the broadcast date of the media, the transaction is performed according to the preset priority for each item. An overall contribution creation means for creating the contribution of the media to the achievement as an overall contribution;
A customer-specific contribution database that stores the contribution of the media for each of the suppliers in association with the supplier;
Based on the shipping amount ratio information for inventory that is set in advance with relation to the overall contribution to determine the percentage that is associated with the entire contribution of the created against the inventory amount of the product as a whole ship weight A total shipping amount determination means;
With suppliers of the shop scale and suppliers deal size, shipping address indicator to determine the ship ranks as an index for determining the rate of sending the amount of each of the suppliers in the whole ship amount as ship index A determination means;
A shipping amount determination means for each supplier for allocating the total shipping amount according to the shipping destination index and determining the shipping amount for each of the suppliers;
A contribution difference calculation means for obtaining a difference between the contribution and the overall contribution of the media for each of the stored in the customer-specific contributions database suppliers,
According to the transaction scale of the business partner, corresponding to the difference between the overall contribution and the media contribution for each customer, if the overall contribution is greater, reduce the shipping amount, When the contribution degree of the media for each customer is larger, the preset ratio information for increasing the dispatch amount is used, and the contribution difference obtained by the contribution difference calculation means and the transaction scale of the supplier And a means for increasing or decreasing the shipping amount for each supplier based on the extracted ratio information, and for increasing or decreasing the shipping amount for each supplier ,
Product shipping system including In the commodity shipping system according to claim 1,
Weighting of transaction results on the broadcast date of the media from the client used by the orderer, evaluation information of the person in charge of the contractor with respect to the media, the overall contribution, and evaluation information of the person in charge of the orderer with respect to the media A weight setting information receiving means for receiving information ;
Using the weighting information that has been received by the weighting setting information acceptance means, trading performance in the broadcast date of the media, the evaluation information of contractor personnel with respect to the media, of the purchaser with respect to the overall contribution and before SL media from the evaluation information of the person in charge, shipping products system to determine the contribution of the media for each of the customer.