WO2015159409A1

WO2015159409A1 - Information delivery device and information delivery method

Info

Publication number: WO2015159409A1
Application number: PCT/JP2014/060957
Authority: WO
Inventors: 宇都木　契; 宏視荒
Original assignee: 株式会社日立製作所
Priority date: 2014-04-17
Filing date: 2014-04-17
Publication date: 2015-10-22

Abstract

This information delivery device is characterized by the provision of the following: a memory unit that stores order information that contains, in association with products, stores at which said products are given out or sold, the times at which said products are given out or sold at said stores, and information indicating that said products, stores, and times may be released to the public; and a control unit that extracts, from the order information, products associated with information indicating the possibility of release to the public and transmits the extracted products and product-related information including the stores and times associated with said products to handheld-terminal devices located within prescribed distances of the locations of said stores before said times arrive.

Description

Information distribution apparatus and information distribution method

The present invention relates to an information distribution apparatus and an information distribution method.

There is a technology in which a server managed by a store operator distributes electronic coupons to users of mobile terminal devices over a network in order to increase the number of customers visiting the store. The electronic coupon serves as a cash voucher at the store. The electronic coupon is not an economic value that can be exchanged for any product, but is used only for the purchase of a product sold at the store. Therefore, it becomes a problem how to extract a person who seems to be interested in the product from the users. The information distribution apparatus of cited document 1 selects the type of electronic coupon to be distributed to the user according to the personal information of the user of the mobile terminal device, the search history and browsing history in the network, the location information of the mobile terminal device, and the like.

JP2012-248073 (paragraph 0064 etc.)

Stores often conduct sales promotion events such as the provision of free samples and the sale of products using electronic coupons. And the kind of goods sold in a store is very many, and there may be many manufacturers (manufacturers). It is often the manufacturer that plans when, where, and what promotional event to run for. In other words, many manufacturers take the lead in promotional events. Then, it is important to efficiently use the data created by the manufacturer and connect it to customers at the store.

However, the information distribution apparatus of the cited document 1 does not have a viewpoint of utilizing data of many manufacturers. Although the information distribution apparatus of Cited Document 1 selects the type of electronic coupon to be distributed to the user, it does not quantitatively compare the degree to which it is preferable to distribute to a certain user for each electronic coupon. Therefore, it is not objectively guaranteed that an electronic coupon that is truly suitable for the user is distributed to the user.
Therefore, an object of the present invention is to determine, with high accuracy, a product that a consumer is really interested in using data created by many manufacturers.

The information distribution apparatus according to the present invention relates to a product, a store where the product is distributed or sold, a time when the product is distributed or sold in the store, and information indicating that the product, the store, and the time can be disclosed, And a mobile unit located within a predetermined distance from the location of the store, extracting a product associated with information indicating that it can be released from the order information and a storage unit storing order information And a control unit that transmits the extracted product and product related information including the store and the time point associated with the product before the time point arrives.
Other means will be described in the embodiment for carrying out the invention.

According to the present invention, it is possible to determine with high accuracy a product that a certain consumer is really interested in using data created by many manufacturers.

It is a figure explaining the structure etc. of an information delivery apparatus. It is a figure which shows an example of order information. (A) is a figure showing an example of a store master. (B) is a figure showing an example of a goods master. (C) is a figure showing an example of event information. It is a figure which shows an example of user information. It is a figure which shows an example of browsing information. (A) is a figure showing an example of POS information. (B) is a figure showing an example of inventory information. It is a sequence diagram of the whole processing procedure. It is a flowchart of an event plan processing procedure. It is a flowchart of a store invitation process procedure. It is a flowchart of a re-visit store invitation processing procedure. It is a flowchart of a report preparation process procedure. (A), (b), (c), (d), and (e) are figures which show an example of a registration screen. (A) is a figure showing an example of a search screen. (B) is a figure showing an example of a map screen. (C) is a figure showing an example of a detailed screen. (A) is a figure showing an example of a goods questionnaire screen. (B) is a figure showing an example of a detailed screen. (C) And (d) is a figure explaining a game screen. (A) is a figure showing an example of a preliminary report for stores. (B) is a figure showing an example of a post report for a store. (A) is a figure showing an example of a follow-up report for manufacturers. (B) is a figure showing an example of a total report for manufacturers.

Hereinafter, a mode for carrying out the present invention (referred to as “the present embodiment”) will be described with reference to the drawings and the like.

(Terms etc.)
A “manufacturer” is a person who manufactures a product. The manufacturer aims to raise the name of the product and increase sales. For this reason, there are many plans for events (details below) such as distributing free samples of products to consumers. Even if a sample is distributed to a consumer who is not interested in the product, the sample is simply stored. Therefore, the manufacturer wants consumers to visit the store consciously for the free sample. Furthermore, the manufacturer desires to use analysis results such as consumer preference patterns for sales growth.

A “store” is a person who purchases goods from a manufacturer and sells the purchased goods to consumers at his / her own commercial facility. The store is in a competitive relationship with the “virtual store” on the Internet. Stores also aim to increase the number of consumers coming to the store and increase their sales. Therefore, take a cooperative position for events planned by manufacturers. However, the store does not want the sample to be stored after the accidental consumer has received the sample. The store also wants consumers who know in advance the distribution of free samples to come to the store for free samples. Furthermore, stores also want to use analysis results such as consumer preference patterns and behavior patterns for sales growth.

“Consumer” means a person who purchases a product at a store. This embodiment is an example of inviting a store visit to a user such as a mobile terminal device. Therefore, in this embodiment, “consumer” is synonymous with “user”, and hereinafter, the word “user” is mainly used.

A “distributor” is a person who contracts a manufacturer or a store to transport the product from the manufacturer to the store and temporarily store the product in the process. There may be a capital relationship between the manufacturer (or store) and the distributor. In addition, they may be the same entity.

An “information distributor” is a person who distributes information about an event planned by a manufacturer to a user in advance and invites customers to visit the store. Furthermore, the information distributor analyzes the user's preference pattern, behavior pattern, and the like, and distributes the analysis result to the manufacturer and the store.
An “event” is a sales promotion campaign executed by a manufacturer, a store, or a person commissioned by them. Personnel may be dispatched for events. The event is held mainly to distribute “free samples” (samples for free distribution) of products that manufacturers want to increase sales. However, for example, an event may be held for other purposes, such as selling a new product itself for a fee or reliably selling a product with a limited sales volume.

(Information distribution device)
A configuration and the like of the information distribution apparatus 1 will be described with reference to FIG. The information distribution apparatus 1 is a general computer. The information distribution device 1 includes a central control device 11, an input device 12 such as a keyboard and a mouse, an output device 13 such as a display, a main storage device 14, an auxiliary storage device 15, and a communication device 16. These are connected to each other by a bus. The event planning unit 21, the store visit invitation unit 22, the revisit store invitation unit 23, and the report creation unit 24 in the main storage device 14 are programs. Thereafter, when the subject is described as “XX section”, the central control device 11 reads each program from the auxiliary storage device 15 and loads it into the main storage device 14, and then the function of each program (detailed later). Shall be realized. The auxiliary storage device 15 stores order information 31, a store master 32, a product master 33, event information 34, user information 35, browsing information 36, and POS (Point of Sales) information 37 (all of which will be described later in detail).

The information distribution device 1 can communicate with the manufacturer server 2, the distributor server 3, the mobile terminal device 4, and the store server 5 via the network 6. The manufacturer server 2 stores order information 31 and a product master 33. The store server 5 stores POS information 37 and inventory information 38 (details will be described later). The order information 31 stored in the auxiliary storage device 15 of the information distribution apparatus 1 and the order information 31 stored in the manufacturer server 2 are the same. The POS information 37 stored in the auxiliary storage device 15 of the information distribution apparatus 1 and the POS information 37 stored in the store server 5 are the same.

(Order information)
The order information 31 will be described with reference to FIG. In FIG. 2, the order information 31 is described in two separate upper and lower stages due to space limitations, but it is actually one (the same applies to FIGS. 4, 5, and 6 (a)). In the order information 31, in association with the order ID stored in the order ID column 101, the order time column 102 has an order time, the shipping schedule time column 103 has a shipping schedule time, and the arrival schedule time column 104 has an arrival time. The scheduled time, the product ID field 105 has a product ID, the quantity field 106 has a quantity, the store ID field 107 has a store ID, the disclosure availability field 108 has a disclosure availability flag, and the publication time field 109 has a disclosure time. The time, the information disclosure range in the information disclosure range column 110, the distribution format in the distribution form column 111, the use result vector in the use result vector column 112, and the distribution form evaluation vector in the distribution form evaluation vector column 113 are shown. The product category evaluation vector column 114 has a product category evaluation vector, the preference evaluation vector column 115 has a preference evaluation vector, and the brand evaluation vector column 116 has a brand rating. Vector, profile evaluation vector is stored in the profile evaluation vector field 117.

The order ID in the order ID column 101 is an identifier that uniquely identifies the order of the product from the store to the manufacturer.
The order time in the order time column 102 is the year, month, day and time when the order is placed.
The shipping schedule time in the shipping schedule time column 103 is the year, month, day and time when the product is scheduled to be shipped from the manufacturer (or the distributor's warehouse) to the store.
The estimated arrival time in the estimated arrival time column 104 is the year, month, day and time at the time when the item is scheduled to arrive at the store. Note that the time when a predetermined period (for example, “1 hour” excluding non-business hours such as nights and holidays) has elapsed from the estimated arrival time is referred to as “event start time”. (Details below). An event start time field may be provided in the order information 31, and “event start time” may be stored in the field. Hereinafter, for simplification of explanation, it is assumed that the estimated arrival time is the same as the event start time.
The product ID in the product ID column 105 is an identifier that uniquely identifies the product.
The quantity in the quantity column 106 is the quantity of the ordered product.
The store ID in the store ID column 107 is an identifier that uniquely identifies the store.
The right part of the double line in the order information 31 is one of the features of the present invention.

The disclosure permission flag in the disclosure permission / inhibition column 108 is either “◯” indicating that the event can be disclosed to the user, or “X” indicating that the event is impossible.
The publication time in the publication time field 109 is the year, month, day, and hour at the time when the implementation of the event is disclosed to the user. The release time is before the event start time.
The information disclosure range in the information disclosure range column 110 is an administrative range including a point where a store where an event to be disclosed is performed is located.
Distribution forms in the distribution form column 111 are forms in which products are distributed or sold, and there are the following six forms.
“Free sample” indicates that the product is distributed as a free sample.
“New product” indicates that the product has not been sold in the past.
“Limited production product” indicates that the production amount of the product is limited (no additional production).
“Rare item” indicates that the production amount of the product is extremely limited.
“Popular product” indicates that the shipment result of the product is higher than that of other similar products.
“With bonus” indicates that a free gift is attached to the product.
In the distribution form other than “free sample”, the product is sold for a fee.

The use record vector in the use record vector column 112 is a vector indicating what kind of use record among the use records of the user information distribution apparatus 1 should be attracted to the event. Current usage includes “registration / non-registration to information distribution device”, “presence / absence of purchase using information distribution device”, “purchase using information distribution device within the last 3 months It is assumed that there are four types, “Yes / No” and “Yes / No purchase of own product using information distribution device”. Then, the usage record vector becomes the following four-dimensional vector. The four components of the usage record vector are either “1” indicating “present” or “0” indicating “not present”.
Usage record vector: (registration / non-registration to information distribution device, presence / absence of purchase using information distribution device, presence / absence of purchase using information distribution device within the last three months, information distribution device (With / without purchase of in-house products using) = (1, 0, 0, 0)
As an example, “(1,0,0,0)” indicates that the user has registered in the information distribution apparatus 1 in the past, but has not purchased using the information distribution apparatus. It is shown that there is no purchase using the information distribution device in the company and no purchase of the company's product using the information distribution device.

The distribution form evaluation vector in the distribution form evaluation vector column 113 is a vector indicating a score given by the manufacturer for each of the distribution forms. Since there are six distribution forms, the distribution form evaluation vector is a six-dimensional vector as follows. The sum of the six components of the distribution form evaluation vector is a predetermined value (here, “10”).

Distribution mode evaluation vector: (score for free sample, score for new product, score for limited product, score for rare item, score for popular product, score for bonus) = (10,0,0,0,0,0) )
“(10,0,0,0,0,0)” given as an example gives the manufacturer “10 points” for the user's interest in the free sample, and interests in other distribution forms. In contrast, no points are given. Another example “(5,0,5,0,0,0)” gives the manufacturer a “5 point” for the user's interest in the free sample and the interest in the limited production. “5 points” is given, indicating that no points are given to interest in other distribution forms.

The product category evaluation vector in the product category evaluation vector column 114 is a vector indicating a score given by the manufacturer for each product category. The product category is a product category, including “drinks”, “food”, “amenity goods (bathroom-related products)”, “stationery”, “cosmetics”, “posters”, “toys”, and “others”. There is one. Since there are eight product categories, the product category evaluation vector is an 8-dimensional vector as follows. The sum of the eight components of the product category evaluation vector is a predetermined value (here, “10”).

Product category evaluation vector: (scoring for drinks, scoring for food, scoring for amenity goods, scoring for stationery, scoring for cosmetics, scoring for posters, scoring for toys, etc.) = (10, 0, 0, 0, 0) , 0, 0, 0)
“(10,0,0,0,0,0,0,0)” given as an example gives the manufacturer a “10 point” for the user's interest in drinks and goes to other product categories It shows that no point is given to the interest of. Another example “(5,0,0,0,5,0,0,0)” gives the manufacturer a “five points” for the user's interest in drinks and for the interest in cosmetics. "5 points" is given, indicating that no points are given to interest in other product categories.

The preference evaluation vector in the preference evaluation vector column 115 is a vector indicating a score given by the manufacturer for each of the user's preferences. Preference is a user's preference or behavioral characteristics: “sweet / ordinary / picky”, “likes tea / ordinary / dislikes”, “likes food with a strong taste / ordinary / dislikes”, “likes exercise / ordinary” There are 7 types: “I hate”, “I care about my health / I don't / I don't do it”, “I go to the convenience store every day / I don't go sometimes” and “I like shopping / I like / I don't like”

Since there are seven preferences, the preference evaluation vector is a seven-dimensional vector as follows. The sum of the seven components of the preference evaluation vector is a predetermined value (here, “10”).
Preference rating vector: (Scoring for sweet / ordinary / spicy, scoring for tea / ordinary / dislike, scoring for strong taste / ordinary / dislike, scoring for exercise / ordinary / dislike, health care Scoring for yes / no / no, going to convenience store every day / sometimes going / not going, shopping like / ordinary / hate hats = (10,0,0,0,0,0, 0)

“(10,0,0,0,0,0,0)” given as an example gives the manufacturer “10 points” for the user ’s “sweet / ordinary / spicy” preference, etc. It shows that no point is given to the taste of. Another example “(5,0,0,0,5,0,0)” gives the manufacturer a “five points” for the “sweet / medium / spicy” preference the user has, and “health “5 points” is given to the preference of “worried about / doesn't / both”, and no points are given to other preferences.

The brand evaluation vector in the brand evaluation vector column 116 is a vector indicating a score given by the manufacturer for each brand selected by the user. A brand is a trademark attached to a product. There are many brands such as “beverage brand A”, “beverage brand B”, “confectionery brand C”, “confectionery brand D”, “clothing brand E”, and so on. For simplicity of explanation, it is assumed that there are only five brands, “A”, “B”, “C”, “D”, and “E”. Then, the brand evaluation vector is a five-dimensional vector as follows. The sum of the five components of the brand evaluation vector is a predetermined value (here, “10”).

Brand evaluation vector: (scoring for beverage brand A, scoring for beverage brand B, scoring for confectionery brand C, scoring for confectionery brand D, scoring for clothing brand E) = (10,0,0,0,0)
“(10,0,0,0,0)” given as an example gives the manufacturer “10 points” for the user's interest in the beverage brand A, and for the interest in other brands. Indicates that no points are given. Another example “(5,0,5,0,0)” gives the manufacturer “5 points” for the user's interest in the beverage brand A and “ "5 points" is given, indicating that no points are given to interest in other brands.

The profile evaluation vector in the profile evaluation vector column 117 is a vector indicating a score given by the manufacturer for each of the user's personal information. There are various kinds of personal information. However, here, for the sake of simplicity, it is assumed that the personal information is of two types, gender and age group. The profile evaluation vector is an 8-dimensional vector as follows. The sum of the eight components of the preference evaluation vector is a predetermined value (here, “10”).
Profile evaluation vector: (male, female, under 20 years old, 20 years old and under 30 years old, 30 years old and under 40 years old, 40 years old and under 50 years old, 50 years old and over 60 years old Under age, over 60 years old) = (5,0,0,5,0,0,0,0)

“(5,0,0,5,0,0,0,0)” given as an example gives “5 points” to the personal information of the user “male”, It shows that “5” points are given to personal information “Under age”. Another example “(0,3,7,0,0,0,0,0)” gives “3 points” to the user ’s “female” personal information and is “under 20 years old” "7" points are given to personal information "". As is apparent from these examples, normally, when the first component from the left is other than “0”, the second component is “0”. Similarly, when the second component from the left is other than “0”, the first component is “0”. However, in a unisex product, the first component from the left and the second component from the left are other than “0”. Of the third to eighth components, the number of components having a value other than “0” is not limited to one.
Each component of the profile evaluation vector may be “a purchase at a convenience store is 5000 yen or more per month”, “a purchase of health-related products is 5000 yen or more a month”, or the like.
Among the records of the order information 31, the disclosure time column 109 to the profile evaluation vector column 117 of records in which “x” is stored in the disclosure permission / inhibition column 108 may be blank.

(Store master)
The store master 32 will be described with reference to FIG. In the store master 32, in association with the store ID stored in the store ID column 121, the store name column 122 stores the store name, the group name column 123 stores the group name, the position information column 124 stores the position information, The site URL column 125 stores a site URL, and the image URL column 126 stores an image URL.
The store ID in the store ID column 121 is the same as the store ID in FIG.
The store name in the store name column 122 is the name of the store.
The group name in the group name column 123 is a group to which the store belongs (for example, parent company name, franchise name).
The position information in the position information column 124 is the latitude and longitude of the point where the store is located.
The site URL in the site URL column 125 is link information to a site on the Internet of the store.
The image URL in the image URL column 126 is link information to an image on the Internet of the store.

(Product Master)
The merchandise master 33 will be described with reference to FIG. In the product master 33, in association with the product ID stored in the product ID column 131, the product name column 132 has a product name, the product category column 133 has a product category, and the manufacturer name column 134 has a manufacturer name. However, the internal capacity column 135 has an internal capacity, the explanatory text column 136 has an explanatory text, the target layer vector field 137 has a target layer vector, the site URL field 138 has a site URL, and the image URL field 139 has a An image URL is stored.

The product ID in the product ID column 131 is the same as the product ID in FIG.
The product name in the product name column 132 is the name of the product.
The product category in the product category column 133 is the product category described above.
The manufacturer name in the manufacturer name column 134 is the name of the manufacturer.
The internal capacity in the internal capacity column 135 is the internal capacity (weight, volume, etc.) per sales unit of the product.
The explanatory text in the explanatory text column 136 is a text explaining the product to the user.

The target layer vector in the target layer vector column 137 is a vector indicating the attributes of the main user who purchases the product. The symmetric layer vector has the same type as the profile evaluation vector described above. These differences are that each component of the profile evaluation vector can correspond to the future customer segment in anticipation of future sales strategies, whereas each component of the target segment vector corresponds to the current customer segment. That is. In general, there are cases where the transition of the customer base of a product cannot be ignored. For example, when a product used by a future businessman is attracted to a current student, the current customer segment is “male 20 years or older” and the future customer segment is “male under 20 years”. Therefore, the manufacturer can create a target layer vector based on a product, and separately create a profile evaluation vector based on an event, and examine a user's reaction that seems to be a future customer layer.

The site URL in the site URL column 138 is link information to a site on the Internet for the product.
The image URL in the image URL column 139 is link information to an image of the product on the Internet.

(event information)
The event information 34 will be described with reference to FIG. In the event information 34, in association with the event ID stored in the event ID column 141, the order ID column 142 stores the order ID, the store ID column 143 stores the store ID, and the product ID column 144 stores the product ID. Has been. That is, the event information 34 is obtained by combining the order information 31, the store master 32, and the product master 33 with the order ID, the store ID, and the product ID as a combination main key. And one record is created for every combination of order ID, store ID, and goods ID, and event ID is numbered as an identifier which specifies the record uniquely. One record indicates which order event is executed for which product at which store.

(User information)
The user information 35 will be described with reference to FIG. In the user information 35, in association with the user ID stored in the user ID field 151, the last name is in the last name field 152, the first address is in the first name field 153, the first address is in the first address field 154, and the second address field is in the user information 35. The second address is in 155, the date of birth is in the date of birth column 156, the gender is in the gender column 157, the occupation is in the job column 158, and the SNS (Social Network System) information 1 column 159 is the first address. 1 SNS information, the SNS information 2 column 160 has second SNS information, the distribution mode column 161 has a distribution mode vector, the product category column 162 has a product category vector, and the preference column 163 has a preference vector. The brand column 164 includes a brand vector, the profile column 165 includes a profile vector, the estimated preference column 166 includes an estimated preference vector, the premium degree column 167 includes a premium degree, and the weight column 168 includes a weight. Vector is stored.

The user ID in the user ID column 151 is an identifier that uniquely identifies the user.
The last name in the last name field 152 is the user's last name (Mr.).
The name in the name column 153 is the name of the user.
The first address in the address 1 column 154 is the administrative address (including the zip code) of the point where the user resides.
The second address in the address 2 column 155 is the administrative address of the point where the user works.
The date of birth in the date of birth column 156 is the date of birth of the user.
The gender in the gender column 157 is the gender of the user.
The occupation in the occupation column 158 is the occupation of the user.
The first SNS information in the SNS information 1 column 159 is information necessary for access to the first SNS used by the user. Information such as “Type = twitter, id = Hitach” may be used instead of “power spot” (name of SNS).
The second SNS information in the SNS information 2 column 160 is information necessary for access to the second SNS used by the user.

The distribution form vector in the distribution form column 161 is a vector indicating a value “1” or “0” input by the user for each of the distribution forms. As described above, since there are six distribution forms, the distribution form vector is also a six-dimensional vector as follows.
Distribution form vector: (free sample, new product, limited production, rare item, popular product, with bonus) = (1, 1, 0, 0, 0, 0)
The example “(1,1,0,0,0,0)” indicates that the user is interested in free samples and new products, and interested in other forms of distribution. Indicates no.

The product category vector in the product category field 162 is a vector indicating a value “1” or “0” input by the user for each of the product categories. As described above, since there are eight product categories, the product category vector is also an 8-dimensional vector as follows.
Product category vector: (drink, food, amenity goods, stationery, cosmetics, posters, toys, etc.) = (1, 0, 0, 0, 1, 0, 0, 0)
As an example, “(1,0,0,0,1,0,0,0)” indicates that the user is interested in drinks and cosmetics and is interested in other product categories. Indicates not.

The preference vector in the preference column 163 is a vector indicating a value of “1”, “0”, or “−1” input by the user for each of the user preferences. As described above, since there are seven preferences, the preference vector is also a seven-dimensional vector as follows.
Preference vector: (sweet / medium / spicy, likes tea / ordinary / dislike, likes deep-flavored food / ordinary / dislikes, likes exercise, normal / dislikes, cares about health / neither / does No, go to convenience stores every day / sometimes go / do not like, like shopping / ordinary / dislike) = (1, -1,0, -1,1,1,0)

Here, “1” indicates that the user has selected the left option from the three options divided by two “/”. Similarly, “−1” indicates that the user has selected the right option. “0” indicates that the user has selected the central option, or none has been selected. In other words, “(1, -1,0, -1,1,1,0)” given as an example, even though the user ’s preference is “sweet taste”, “dislikes tea”, “like food with a strong taste” It indicates that they are not disliked (or not selected), “dislike exercise”, “care about health”, “go to a convenience store every day” and “do not like or dislike shopping”.

The brand vector in the brand column 164 is a vector indicating a user's selection result for each of the brands. “1” indicates that the user has selected the brand, and “0” indicates that the user has not selected the brand. As described above, since there are five brands, the brand vector is also a five-dimensional vector as follows.
Brand vector: (beverage brand A, beverage brand B, confectionery brand C, confectionery brand D, clothing brand E) = (1,0,1,0,0)
The example “(1,0,1,0,0)” indicates that the user is interested in the beverage brand A, interested in the confectionery brand C, and other brands. Indicates that you are not interested. The brand vector component may be any one of the values “1”, “0”, and “−1”. In this case, “1” indicates that he / she actively likes, “−1” indicates that he / she actively dislikes, and “0” indicates that none of the above.

The profile vector in the profile column 165 is a vector indicating the value of each item of personal information input by the user as “1” or “0”. Similarly to the above, for the sake of simplicity, it is assumed that the personal information is of two types, gender and age group. The profile vector is also an 8-dimensional vector as follows.
Profile vector: (male, female, under 20 years old, 20 years old and under 30 years old, 30 years old and under 40 years old, 40 years old and under 50 years old, 50 years old and under 60 years old) Less than, over 60 years old) = (1, 0, 0, 1, 0, 0, 0, 0)
“(1,0,0,1,0,0,0,0)” given as an example indicates that the user is a male who is 20 years old or older and younger than 30 years old. As is clear from this example, when the first component from the left is “1”, the second component is always “0”. When the first component from the left is “0”, the second component is always “1”. Furthermore, among the third to eighth components, only “1” is one and all others are “0”.

The above profile vector shows only gender and age group. However, the occupation can be expressed as, for example, “(public servant, company employee, self-employed, student,...) = (1, 0, 0, 0,...)”. In addition, the prefecture in the address is further subordinate to the address (city / city), such as “(Tokyo, Chiba Prefecture, Kanagawa Prefecture,...) = (1, 0, 0,...)”. Ward, town, chome, etc.).

The estimated preference vector in the estimated preference vector column 166 is a preference vector that is automatically estimated by the information distribution apparatus 1 when the user does not input a preference (details will be described later). “#” Indicates an estimated value.
The premium degree in the premium degree column 167 is a preferential degree given to the user by the manufacturer. For example, the greater the contribution to the product questionnaire, the greater the purchase price of the product, the greater the premium degree (details will be described later).
The weight vector in the weight column 168 is a vector having, as components, weights used when calculating the degree to which the product that is the subject of the event matches the user's interest and the like (details will be described later).

(Browsing information)
The browsing information 36 will be described with reference to FIG. In the browsing information 36, in association with the user ID stored in the user ID column 171, the event column 172 has an event ID, the product ID column 173 has a product ID, the phase column 174 has a phase, and a date / time column 175. The date and time are stored, the browsing location is stored in the browsing location column 176, the game result is stored in the game result column 177, the coupon amount is stored in the coupon amount column 178, and the product questionnaire result is stored in the product questionnaire column 179.

The user ID in the user ID column 171 is the same as the user ID in FIG.
The event ID in the event column 172 is the same as the event ID in FIG.
The product ID in the product ID column 173 is the same as the product ID in FIG.
The phases in the phase column 174 are the following events until the user purchases a product with an electronic coupon after the user is informed that an event about the product is scheduled to be performed.

“Browse map screen” indicates that the mobile terminal device 4 has displayed the map screen 227 for event invitation (FIG. 13B).
“View detailed screen” indicates that the mobile terminal device 4 has displayed the event attraction detailed screen 228 (FIG. 13C).
“Browse store site” indicates that the mobile terminal device 4 has displayed a store site.
“View merchandise site” indicates that the mobile terminal device 4 has displayed a merchandise site.
“Schedule registration” indicates that the user has registered event information in “Schedule” (details will be described later).
“Free sample receipt” indicates that the user has received a free sample at the store.

“Receiving product questionnaire” indicates that the mobile terminal device 4 has received the product questionnaire 229 (FIG. 14A) from the information distribution device 1.
“Product questionnaire result transmission” indicates that the mobile terminal device 4 has transmitted a product questionnaire result to the information distribution apparatus 1.
“Game execution” indicates that the user has played a game and the mobile terminal device 4 has transmitted the result (score) of the game to the information distribution device 1.
“Electronic coupon reception” indicates that the mobile terminal device 4 has received an electronic coupon.
“Use electronic coupon” indicates that the user has purchased a product using the electronic coupon at the store.

The date / time in the date / time column 175 is the year / month / day / hour / minute / second when the event occurred.
The browsing location in the browsing location column 176 is position information (latitude, longitude) of the mobile terminal device 4 at the time when the event occurs.
The game result in the game result column 177 is the score of the game played by the user.
The coupon amount in the coupon amount column 178 is the amount of the electronic coupon used by the user at the store.
The product questionnaire result in the product questionnaire column 179 is the content that the user has answered to the product questionnaire 229 (FIG. 14A).

The browsing information 36 as a whole stores in chronological order what the user has done using the mobile terminal device 4 (records 201 to 211). The game result column 177, the coupon amount column 178, and the product questionnaire column 179 have data only in records whose phases are “game execution”, “electronic coupon reception (or use)”, and “product questionnaire result transmission”, respectively.

(POS information)
The POS information 37 will be described with reference to FIG. In the POS information 37, in association with the store ID stored in the store ID column 181, the user ID column 182 has a user ID, the event ID column 183 has an event ID, the product ID column 184 has a product ID, The quantity field 185 stores the quantity, the phase field 186 stores the phase, the date / time field 187 stores the date / time, the product price field 188 stores the product price, and the coupon price field 189 stores the coupon price.

The store ID in the store ID column 181 is the same as the store ID in FIG.
The user ID in the user ID column 182 is the same as the user ID in FIG.
The event ID in the event ID column 183 is the same as the event ID in FIG.
The product ID in the product ID column 184 is the same as the product ID in FIG.
The quantity in the quantity column 185 is the quantity of the product purchased (or received free of charge) by the user.
The phase in the phase column 186 is the same as the phase in FIG. However, the phase here is either “sample receipt” or “use electronic coupon”.
The date / time in the date / time column 187 is the year / month / day / hour / minute / second when the user purchased the product (or received it for free).
The product amount in the product amount column 188 is the amount paid by the user (product of product unit price and quantity).
The coupon amount in the coupon amount column 189 is the amount of the electronic coupon used by the user, and is the number of items in the product amount.

The POS information 37 stores what the user has done at the store as a whole in time series. The POS information 37 stores not only the

records

212 and 213 when the user visits the store upon receiving an event invitation, but also records in other cases. In other cases, “−” indicating that there is no value is stored in the event ID column 183, the phase column 186, and the coupon amount column 189. In the case of visiting the store, “-” is also stored in the item price column 188 of the record 212 whose phase is “sample receipt”.

(Inventory information)
The inventory information 38 will be described with reference to FIG. In the inventory information 38, in association with the store ID stored in the store ID column 191, the product ID column 192 stores the product ID, and the inventory number column 193 stores the inventory number.
The store ID in the store ID column 191 is the same as the store ID in FIG.
The product ID in the product ID column 192 is the same as the product ID in FIG.
The stock quantity in the stock quantity column 193 is the number of goods in the store.
The store server 5 always maintains the value of each record of the inventory information 38 in the latest information.

(Overall procedure)
The overall processing procedure will be described with reference to FIG.
In step S 1, the manufacturer server 2 transmits order information 31 and the like to the distributor server 3. Then, the distributor server 3 narrows down the information to be disclosed to the user out of the enormous order information 31 and transmits the narrowed order information 31 to the information distribution apparatus 1. Thereafter, the product is shipped to the store.
In step S 2, the information distribution device 1 creates event information 34 and displays it on the mobile terminal device 4. Then, the user can browse various screens related to the event on the mobile terminal device 4. Then, the mobile terminal device 4 transmits the user browsing history to the information distribution device 1. Thereafter, the user visits the store to participate in the event and obtain a free sample.

In step S 3, the store server 5 transmits POS information 37 relating to the user visit to the information distribution apparatus 1. Then, after a product questionnaire, a product questionnaire result, a game, and a game result are transmitted and received between the information distribution device 1 and the mobile terminal device 4, the information distribution device 1 transmits an electronic coupon to the mobile terminal device 4. Thereafter, the user revisits the store to purchase the product using the electronic coupon. Then, the store server 5 transmits POS information 37 related to the user's return visit to the information distribution apparatus 1.
In step S 4, the information distribution device 1 transmits a report to the manufacturer server 2 and the store server 5. Although the explanation order is reversed, immediately after step S 2, the information distribution apparatus 1 transmits a preliminary report to the store server 5.
Note that steps S1, S2, S3, and S4 of the overall process procedure are an event plan process procedure (FIG. 8), a store visit invitation process procedure (FIG. 9), a revisit store invitation process procedure (FIG. 10), and a report creation process, respectively. This will be described later in detail as a procedure (FIG. 11).

(Event plan processing procedure)
Details of the event plan processing procedure (S1 in FIG. 7) will be described with reference to FIG.
In step S301, the distributor server 3 receives the order information 31 (FIG. 2) from the manufacturer server 2.
In step S 302, the distributor server 3 entrusts control to the information distribution apparatus 1. Specifically, the distributor server 3 establishes communication with the information distribution apparatus 1 and activates the event planning unit 21 when the operator of the distributor server 3 receives input of a predetermined instruction. Thereafter, the subject that executes the processing of steps S303 to S306 is the event planning unit 21 of the information distribution apparatus 1.
In step S 303, the event planning unit 21 receives the order information 31. Specifically, the event planning unit 21 receives order information 31 (FIG. 2) from the distributor server 3.

In step S304, the event planner 21 narrows down the order information 31 to be disclosed. Specifically, the event planning unit 21 acquires a record of the order information 31 that satisfies all the following conditions.
(1) The disclosure possibility flag is “◯”.
(2) The distribution form matches that specified by the operator of the information distribution apparatus 1 via the input device 13. Hereinafter, an example in which the distribution form “free sample” is specified will be described.
(3) The current time is later than the release time.
(4) The usage record vector has a component of “1”, and the usage record indicated by at least one of them is the same as that specified by the operator of the information distribution apparatus 1 via the input device 13. thing.

In step S305, the event planner 21 instructs label attachment. Specifically, the event planning unit 21 transmits an instruction to the distributor server 3 to attach a “label” to the product specified by the product ID of the record of the order information 31 acquired in step S304. It is assumed that an order ID is stored in “Label”.
In step S306, the event planning unit 21 instructs shipping. Specifically, the event planning unit 21 gives an instruction to ship the product specified by the product ID of the record of the order information 31 acquired in step S304 to the store specified by the store ID of the record. Send to. Thereafter, the event planner 21 ends the event plan processing procedure.
Depending on the contents of the contract between the distributor and the information distributor, the entity executing the processes described in steps S303 to S306 can be the distributor server 3. In this case, the distributor server 3 does not need to transmit the instructions in steps S305 and S306 to the outside.

(Procedure for attracting customers)
The details of the store invitation process procedure (S2 in FIG. 7) will be described with reference to FIG.
In step S 311, the store invitation part 22 of the information distribution apparatus 1 receives the product master 33 from the manufacturer server 2.
In step S312, the store invitation section 22 creates event information 34 (FIG. 3C). Specifically, the store invitation part 22 combines the order information 31 acquired in step S304 (records narrowed down), the product master 33 acquired in step S311 and the store master 32 as described above. Event information 34 is created.

In step S313, the store invitation section 22 determines whether user registration has been completed. Specifically, if the user registration has been completed (step S313 “YES”), the store invitation unit 22 proceeds to step S315. If user registration has not been completed (step S313 “NO”), the process proceeds to step S314.

In step S314, the store invitation section 22 receives and registers the user registration. Specifically, first, the store invitation unit 22 sequentially displays registration screens 221 to 225 (FIGS. 12A to 12E) on the mobile terminal device 4, and sequentially accepts user input. The user inputs his / her last name, first name,... On the registration screen 221, selects a desired distribution form on the registration screen 222, selects a desired product category on the registration screen 223, and enters the registration screen 224. Select the desired brand. At this time, the store invitation section 22 may change the display mode (character font, background color, etc.) between the essential input items and other input items on the registration screen 221. In the registration screens 222 to 224, “◯” may be displayed in a column selected by the user, and “x” may be displayed in a column not selected. Subsequently, the user inputs his / her preference (preference pattern, behavior pattern) on the registration screen 225 by selecting one of three options for answering the question.

Second, the store invitation section 22 creates a new record of the user information 35 (FIG. 4), and fills each column of the new record with the data received in “first” in step S314. The data input to the registration screen 201 corresponds to the new record fields 152 to 160. The data input to the registration screen 222 corresponds to the distribution form column 161 of the new record (“◯” corresponds to “1”, “X” corresponds to “0”, and so on. .) The data input to the registration screen 223 corresponds to the product category field 162 of the new record. Data input to the registration screen 224 corresponds to the brand field 164 of the new record. The data input to the registration screen 225 corresponds to the new record preference field 163. (“Left” corresponds to “1”, “Right” corresponds to “−1”, “Center” or “Non-selection” corresponds to “0”.) The above-described profile vector is created based on the data input on the screen 221 and stored in the profile field 165 of the new record.

Thirdly, the store invitation part 22 assigns a user ID and stores it in the user ID column 151 of the new record. Furthermore, the store invitation section 22 sets “(0, 0, 0, 0, 0, 0, 0) ^# ” and “0” as initial values in the estimated preference field 166, the premium degree field 167, and the weight field 168, respectively. And “(0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1)”.

In step S315, the store invitation section 22 receives the position information. Specifically, the store visit attracting unit 22 acquires the current position information of the mobile terminal devices 4 of all users. It is assumed that the store visit attracting unit 22 can acquire the current location information of all users by using GPS (Global Positioning System) technology regardless of the presence or absence of a record of the browsing information 36 (FIG. 5).

At this time, the store invitation part 22 may display the search screen 226 (FIG. 13A) on the mobile terminal device 4. In principle, the data displayed in the “location information” column of the search screen 226 is the current location information of the mobile terminal device 4, and the data displayed in the “search time” column is the current time point. It is. The data in the “search distribution form” column and the “search product category” column are past data at the time of registration by the user. However, the user can re-enter one or more distribution forms (or product categories) in the search distribution form column (or search product category column). Then, the store invitation part 22 immediately updates the distribution form vector 161 (or the product category vector 162) of the user information 35 with the information just inputted. This process is especially effective for sudden climate changes and conditions (for example, when the temperature suddenly rises and you want a cold drink, you get wet with rain, makeup drops, or you are asked to take your lunch home while you are home) It is.

Furthermore, the user can re-enter the position information of the point where the user will arrive in the near future as the position information. Then, the store invitation part 22 executes the process of step S316 described later with the position information just input. This processing is particularly effective when, for example, a user who is currently on the railroad arrives at a station several minutes later.

In step S316, the store invitation part 22 creates display candidate information (immediately described later). Specifically, the store visit attracting unit 22 acquires records satisfying all the following conditions from the event information 34 for all users.

(1) The event start time associated with the event ID (column 141) is after the current time.
(2) The position of the location information associated with the store ID (column 143) is predetermined from the location of the current location information of the user's mobile terminal device 4 (or location information of the location where the user is scheduled to arrive in the near future). And within the information disclosure range.
(3) The component corresponding to the distribution form associated with the event ID (column 141) is “1” in the distribution form vector in the record of the user information 35 having the user ID identifying the user.

(4) The component corresponding to the product category associated with the product ID (column 144) is “1” in the product category vector in the record of the user information 35 having the user ID that identifies the user.
Note that the user may delete the search distribution form on the search screen 226. In this case (meaning unconditional), the store invitation section 22 ignores (3) above. Similarly, the user may delete the search product category. In this case, the store invitation part 22 ignores (4) above.

The store invitation section 22 repeats the process of step S316 for each user. Then, “display candidate information” in which the event ID of the record of the acquired event information 34 (in many cases, a plurality of event IDs are acquired) is associated with one user ID is created in the main storage device 14. Memorize temporarily.

At the end of the repetitive processing, the store invitation section 22 determines that “(U101: E101, E102, E103,...), (U102: E111, E112,...), (U103: E121, E122, E123, Display candidate information such as E124,...,.

In step S317, the store invitation part 22 rearranges the display candidate information. Specifically, first, the store visit attracting unit 22 uses the following formula for “display priority score” for all users and for all event IDs associated with the user in the display candidate information. "Is calculated.
Display priority score = w ₁ × (V ₁ * v ₁ ) + w ₂ × (V ₂ * v ₂ ) + w ₃ × (V ₃ * v ₃ ) + w ₄ × (V ₄ * v ₄ ) + w ₅ × (V ₅ * V ₅ ) + w ₆ × premium degree + w ₇ × (D ₁ -D ₂ )

Here, V ₁ is the distribution form vector, and v ₁ is the distribution form evaluation vector. V ₂ is the product category vector, and v ₂ is the product category evaluation vector. V ₃ is the preference vector, and v ₃ is the preference evaluation vector. V _4, said a brand vector, v ₄ is the brand evaluation vector. V ₅ is the a profile vector, v ₅ is the profile evaluation vector. D ₁ is the date of the current time, and D ₂ is the date of the event start time. Normally, “(D ₁ -D ₂ )” is a negative value, and the closer the event is, the closer the value is to “0”.

w ₁ , w ₂ , w ₃ , w ₄ , w ₅ , w ₆ and w ₇ are respectively (V ₁ * v ₁ ), (V ₂ * v ₂ ), (V ₃ * v ₃ ), (V ₄ * v ₄ ), (V ₅ * v ₅ ), the premium degree, and the coefficient multiplied by (D ₁ -D ₂ ), and the vector stored in the weight field 168 of the user information 35 (FIG. 4) Each component (in order from the left, “w ₁ ”, “w ₂ ”,...). “*” Is an operator indicating an operation for calculating an inner product (sum of products for each component) of two vectors. As is clear from the above, the display priority score is a value indicating the affinity between the user's interest and the product related to the event and the urgency from the current time point to the event start time, and is defined for each combination of the user and the event. Is done. Therefore, the display priority score is expressed as Sc (U101, E101), for example.

Second, the store invitation part 22 rearranges the event IDs included in the display candidate information in descending order of display priority score for each user, and creates a “display order” (an example will be described immediately below). Now, it is assumed that one piece of display candidate information is “(U101: E101, E102, E103)” and Sc (U101, E101) <Sc (U101, E102) <Sc (U101, E103). . Then, the store invitation part 22 creates a display order of [U101: E103, E102, E101].
The store invitation section 22 repeats the process of step S317 for each user. Then, a “display order” for each user is created and temporarily stored in the main storage device 14.

In step S318, the store invitation section 22 determines event information to be transmitted. Specifically, the store invitation unit 22 sets “n” as a predetermined positive integer, obtains “n” event IDs arranged on the right of the display order “:” from the left, and acquires “n”. “Display decision information” (immediately described later) is created. If n = 2, the store invitation section 22 creates display determination information “<U101: E103, E102>” based on the display order “[U101: E103, E102, E101]”. Become. The store invitation part 22 repeats the process of step S318 for each user. Then, “display determination information” for each user is created and temporarily stored in the main storage device 14.

The store invitation section 22 may omit the process of step S317 instead of the above-described normal process (referred to as “simplified process”). That is, for example, the display determination information “<U101: E103, E102>” may be created directly from the display candidate information “(U101: E101, E102, E103,...)”. However, in this example, n = 2, and the store invitation unit 22 randomly acquires “n” items from among the event IDs arranged to the right of “:” in the display candidate information. .

In the normal process, the store invitation section 22 matches the manufacturer's designation with the user's input for each distribution form and product category (step S316). However, the manufacturer's designation is one point, such as “sample” and “drink”, respectively. Some products span a plurality of distribution forms (for example, free samples and with bonuses). In addition, some products (for example, drinks and cosmetics) straddle a plurality of product categories. There may also be a manufacturer's desire to provide cosmetics to users who are currently interested in drinks. The normal processing is particularly effective when it is desired to order events in consideration of such circumstances. The simplified process is particularly effective when the processing capability of the information distribution device 1 and the mobile terminal device 4 is not sufficient.

In step S319, the store invitation section 22 transmits a map. Specifically, the store invitation part 22 displays a map screen 227 (FIG. 13B) on the mobile terminal device 4 used by the user for each user. The store invitation section 22 displays a plurality of icons “☆”, “◎” and the like on the map screen 227. These icons correspond to event IDs stored to the right of “:” in the display determination information. Further, for example, in step 315, the user may input “free sample” in the search distribution form column and delete the data in the search product category column (the product category is searched unconditionally). In this case, the store invitation section 22 may distinguish the difference in the product category by the type of icon (“☆”, “◎”), or display the product category in association with the icon. Furthermore, among the data stored in the merchandise master 33, predetermined data may be displayed in association with an icon as a “balloon”.

In step S320, the store invitation section 22 registers the browsing history. Specifically, the store invitation part 22 receives the current time, the event ID and the product ID related to the displayed icon, and the user ID from the mobile terminal device 4. And the record 201 of the browsing information 36 (FIG. 5) is created using the received data.

In step S321, the store invitation section 22 transmits detailed information. Specifically, it is assumed that the user has selected an icon for a “drink”. Then, the store invitation part 22 displays a detailed screen 228 (FIG. 13C) on the mobile terminal device 4. The store invitation section 22 displays store data (store master 32 data) and product data (product master 33 data) associated with the corresponding event on the detailed screen 228. In FIG. 13C, the link information to the product site and the link information to the store site are displayed as “http //...”. Link information to product images and link information to store images are displayed as icons.

In step S322, the store invitation section 22 registers the browsing history. Specifically, the store invitation part 22 receives the current time, the event ID and product ID related to the selected icon, and the user ID from the mobile terminal device 4. And the record 202 of the browsing information 36 (FIG. 5) is created using the received data. When the user browses, for example, a store site (or product site), the store invitation unit 22 creates the record 203 (or 204) of the browse information 36 (FIG. 5) in the same manner as described above.

In step S323, the store invitation section 22 registers the schedule. Specifically, it is assumed that the user registers the event displayed on the detail screen 228 in “Schedule”. Registering in the schedule means that an arbitrary application of the mobile terminal device 4 or the external device is used, and the store of the event, the date and time, etc. are scheduled to be executed by the user in the future. Is stored in the storage area. At this time, the store invitation section 22 receives a notification from the mobile terminal device 4 that the user has registered the event in the schedule. And the record 205 of the browsing information 36 (FIG. 5) is created similarly to the above.

In step S324, the store invitation section 22 transmits a store invitation message. Specifically, the store visit attracting unit 22 transmits an e-mail to the mobile terminal device 4 at a time point that is traced back from the event start time of the event registered in the schedule by a predetermined period. This email contains a message such as “Thank you for registering your schedule. We are waiting for you at XX Iidabashi at XX, XX, XX.” Here, the store invitation part 22 may also transmit the mail to the store server 5 at the same time. In the store, free samples and the like can be reserved for the user.
The store invitation part 22 repeats the processing of steps S319 to S324 for each user. Thereafter, the store invitation section 22 ends the store invitation process procedure.
The “product related information” corresponds to the above-mentioned “map”, “detailed information”, and “visit to store invitation mail”.

(Re-visit processing procedure)
The revisited store invitation processing procedure will be described with reference to FIG. The re-visiting attraction process procedure starts when the user visits the store. Hereinafter, an example will be described in which a user visits a store to participate in an event whose distribution form is “free sample”. However, any distribution form may be used.
In step S331, the re-visit store invitation unit 23 of the information distribution apparatus 1 receives a sample delivery report. Specifically, for example, the user uses the mobile terminal device 4 to present a screen on which “schedule” is registered to the store clerk. Then, the store clerk hands the sample that has been set aside to the user. At this time, the store server 5 reads the order ID from the label attached to the free sample via its input device, reads the user ID from the portable terminal device 4, and distributes the read order ID and user ID as information. Transmit to device 1. The re-visit store invitation part 23 receives this. Further, the store server 5 creates a record 212 of the POS information 37 (FIG. 6A). The user will then use the sample.

In step S332, the re-visit store invitation unit 23 registers the browsing history. Specifically, the revisit store invitation unit 23 creates the record 206 of the browsing information 36 (FIG. 5) using the current time and the data transmitted in step S331. The re-visit store invitation unit 23 can specify the product ID and the event ID by searching the event information 34 using the order ID as a key.

In step S333, the re-visit store invitation unit 23 transmits a product questionnaire. Specifically, the revisit store invitation unit 23 displays a product questionnaire screen 229 (FIG. 14A) on the mobile terminal device 4. At this time, the revisiting store attracting unit 23 creates a record 207 of the browsing information 36 (FIG. 5).

In step S334, the revisit store invitation unit 23 receives the product questionnaire result. On the product questionnaire screen 229, the user selects “very good” as the evaluation for the product, and inputs “a strong scent and a good feeling” as a comment for the product. Therefore, the revisit store invitation unit 23 receives these input data from the mobile terminal device 4. At this time, the revisiting store attracting unit 23 creates a record 208 of the browsing information 36 (FIG. 5).

In step S335, the revisit store invitation unit 23 transmits the game. Specifically, the revisiting store attracting unit 23 displays the game screen 231 (FIG. 14C) on the mobile terminal device 4. In the example shown in the figure, the user rolls a ball on the screen of the mobile terminal device 4 that looks like a horizontal table, and guides the ball into a hole opened on the table to acquire a point (FIG. 14 (d)). )).

In step S336, the revisit store invitation unit 23 receives the game result. Specifically, the revisit store invitation unit 23 receives a game result from the mobile terminal device 4. Here, the game result is, for example, “100 points”. At this time, the re-visit store invitation unit 23 creates a record 209 of the browsing information 36 (FIG. 5).

In step S337, the revisit store invitation unit 23 determines the amount of the electronic coupon. In general, a “coupon” is a fake currency that has exchange value only between specific parties. In this embodiment, this coupon is digitized and can be used for a specific product in a specific store or for a product of a specific manufacturer. The unit of the exchange value of the electronic coupon is usually “amount”, but may be a “discount rate” for the price of a specific product. The re-visit store attracting unit 23 determines the amount of the electronic coupon according to the game result received in step S336. Here, it is assumed that the re-visit store invitation unit 23 determines the amount “500 yen” according to the game result “100 points”.

In step S338, the revisit store invitation unit 23 transmits an electronic coupon. Specifically, the re-visit store invitation unit 23 transmits an electronic coupon having the amount determined in step S 337 to the mobile terminal device 4. At this time, the revisiting store attracting unit 23 creates a record 210 of the browsing information 36 (FIG. 5). Thereafter, the user can return to the store and purchase products using the electronic coupon.

In step S339, the revisit store invitation unit 23 receives a purchase report using an electronic coupon. Specifically, the user uses, for example, the mobile terminal device 4 to present a screen on which the electronic coupon is displayed to the store clerk. Then, the store clerk gives the user a product desired by the user. At this time, the store server 5 reads the price of the product described in the product via its input device, reads the user ID and the amount of the electronic coupon from the mobile terminal device 4, and distributes the read data to the information distribution Transmit to device 1. The re-visit store invitation unit 23 receives this, and further creates a record 211 of the browsing information 36 (FIG. 5). Further, the store server 5 creates the record 213 of the POS information 37 (FIG. 6A). Thereafter, the revisited store invitation unit 23 ends the revisited store invitation processing procedure.

(Report creation processing procedure)
The report creation processing procedure will be described with reference to FIG.
In step S 351, the report creation unit 24 identifies a prior report target event. Specifically, the report creation unit 24 refers to the event information 34 and identifies an arbitrary event whose event start time arrives when a predetermined time (for example, 24 hours) has elapsed from the current time. This event is called “prior report target event”.

In step S352, the report creation unit 24 transmits a prior report to the store. Specifically, first, the report creation unit 24 creates a preliminary report 232 for a store (FIG. 15A). The contents of each data described in the store advance report 232 are as follows.
“Number of visitors to the site” is the number of users who have viewed the detailed screen of the pre-report target event. By referring to the browsing information 36, the report creating unit 24 can acquire the number of users who have browsed the detailed screen of the prior report target event so far.
The “estimated number of people visiting the store” is the number of users who schedule-register the event for the prior report among the number of visitors to the site. By referring to the browsing information 36, the report creation unit 24 can acquire the number of users who have scheduled the prior report target event so far.

The “expected total purchase amount” is an amount obtained by multiplying “predicted number of customers visiting the store” by the unit price of the product of the event subject to the prior report. The report creation unit 24 can acquire the unit price of the product with reference to the POS information 37, for example.
“Gender-specific distribution by age” is a breakdown of “estimated number of visitors” by age group by gender. The report creation unit 24 can obtain a breakdown of the “number of predicted visits” by gender and age group by referring to the browsing information 36 and the user information 35.
The “pre-report target event” may be performed for a plurality of products of the same manufacturer. In such a case, the report creation unit 24 may further display “distribution by age by gender”, for example, by product category (see reference numeral 233).
Secondly, the report creation unit 24 transmits the created preliminary report 232 for the store to the store server 5.
The report creation unit 24 repeatedly executes the processes in steps S351 and S352 for all the prior report target events.

In step S353, the report creation unit 24 identifies a post-report target event. Specifically, the report creation unit 24 refers to the event information 34 and identifies an arbitrary event whose event start time has arrived at a predetermined time (for example, 24 hours) from the current time point. This event is called “subsequent report target event”.

In step S354, the report creation unit 24 transmits the subsequent report to the store. Specifically, first, the report creation unit 24 creates a post report 234 for the store (FIG. 15B). The contents of each data described in the post report 234 for stores are as follows.
With regard to “the number of visitors to the site”, “the estimated number of customers visiting the store” and “the distribution by age by gender”, the description of FIG.
The “store site viewer” is the number of users who have browsed the store site. By referring to the browsing information 36, the report creation unit 24 can acquire the number of users who have browsed the store site regarding the post-report target event by the event start time.
The “number of visits” is the number of users who actually visited the store. By referring to the POS information 37, the report creation unit 24 can acquire the number of users who have visited the store where the post-report target event has been performed.

The “visitor behavior map” is a map indicating a point (“☆”) where the user who actually visited the store browsed the map screen 227. By referring to the browsing information 36, the report creation unit 24 can acquire the position information of the point where the user who actually visited the store browsed the map screen 227.
The “average moving distance” is an average value of the distance between “☆” and “Store”.
“Product questionnaire response rate” is a percentage obtained by dividing the number of users who answered the product questionnaire by the number of users who sent the product questionnaire. The report creation unit 24 can acquire the product questionnaire response rate by referring to the browsing information 36.
The “electronic coupon utilization purchase rate” is a percentage obtained by dividing the number of users who have used the electronic coupon by the number of users who have received the electronic coupon. The report creation unit 24 can acquire the electronic coupon use purchase rate by referring to the browsing information 36.
2ndly, the report preparation part 24 transmits the created post report 234 for stores to the store server 5.

In step S355, the report creation unit 24 transmits a subsequent report to the manufacturer. Specifically, first, the report creation unit 24 creates a follow-up report 235 (FIG. 16A) for the manufacturer. The content of each data described in the manufacturer's post report 235 is the same as the description of FIG. 15B except for “product site viewer”.
The “product site viewer” is the number of users who have viewed the product site. By referring to the browsing information 36, the report creation unit 24 can acquire the number of users who have browsed the product site for the post-report target event by the event start time.
Second, the report creation unit 24 transmits the created post report 235 for the manufacturer to the manufacturer server 2.
The report creation unit 24 repeatedly executes the processing of steps S353 to S355 for all the subsequent report target events.

In step S356, the report creation unit 24 transmits the summary report to the manufacturer. Specifically, the report creation unit 24, when a predetermined date (for example, the last day of every month) arrives or when a predetermined cycle (30 days from the previous time) has passed, the manufacturer's total report 236 (FIG. 16 ( b)) is created. The contents of each data described in the summary report 236 for the manufacturer are as follows.
“Number of visitors to the site” is the number of users who viewed the detailed screens of all the events of the manufacturer (referred to as “period target events”) conducted during the period from the previous reporting time to the current reporting time. . The report creation unit 24 can acquire the number of such users by referring to the browsing information 36.

“System penetration” is a percentage calculated as follows.
First, the number of users who have viewed the map screen 227 of the period target event is defined as “map browsing number”.
Next, the average value of “the number of people browsing the map” and “the number of visitors to the site” is calculated.
-Calculate the "system penetration" by dividing the calculated average value by the population living in a given area. The predetermined area is, for example, an administrative area where at least one user who has viewed the map screen 227 resides.
The report creation unit 24 can calculate the system penetration rate by referring to the browsing information 36 and external information such as government offices. Furthermore, the report creation unit 24 can create a “system penetration distribution” for each product and each region by referring to the store master 32, the browsing information 36, and the POS information 37 (FIG. 16B). The bottom).

The “visit rate” is a percentage obtained by dividing the number of users who purchased the product of the manufacturer (or received a free sample) related to the target event for the period by “the number of visitors to the site”. The report creation unit 24 can create a “shop visit rate distribution” for each product and each region by referring to the store master 32, the browsing information 36, and the POS information 37.
“Purchase rate” is a percentage obtained by dividing the number of users who purchased products for the period target event using the electronic coupon by the number of users who received the electronic coupon after answering the product questionnaire for the period target event. . The report creation unit 24 can create a “purchase rate distribution” for each product and each region by referring to the browsing information 36 and the POS information 37.
The report creation unit 24 repeatedly executes the process of step S356 for all manufacturers.
Thereafter, the report creation unit 24 ends the report creation processing procedure.

(Modification 1: Premium degree)
If the user's contribution to information provision or sales growth is large, the satisfaction of the manufacturer and the store will increase. Therefore, the store invitation part 22 sets a premium degree for each user. For example, the premium degree (non-negative value) increases as at least one of the following values increases.
-Number of characters in the product questionnaire result-Number of items in the product questionnaire (however, the number of unanswered items is excluded)
・ Number of optional input items (for example, “SNS information”) at the time of registration ・ Number of times or amount of purchase of goods using electronic coupons

The store invitation section 22 acquires the data by constantly monitoring the POS information 37 and the like. Then, the store invitation section 22 maintains the premium degree for each user at the latest value, and determines the value of “n” in the above-described step S318 by the following calculation formula.
n = c ₁ × premium degree + c ₂
Here, c ₁ and c ₂ are positive constants.
Further, the store invitation part 22 determines the value of “w” by the following calculation formula.
w _i = c ₃ × premium degree + c ₄
Here, c ₃ and c ₄ are positive constants, and w _i is at least one of w ₁ , w ₂ , w ₃ , w ₄ , w ₅ , w ₆ and w ₇ . The values of the constants c ₃ and c ₄ may be changed for each of w ₁ , w ₂ ,.

Furthermore, when the premium degree exceeds a predetermined threshold, the store invitation part 22 has at least any one of a distribution form vector, a product category vector, a preference vector, a brand vector, and a profile vector. The component may be changed as “0” → “1” or “−1” → “0”.

(Modification 2: Billing)
The information distributor generally charges the manufacturer and the store according to the degree of contribution to the manufacturer and the store. Therefore, the store invitation part 22 holds, for example, at least one of the following values for each manufacturer and stores it in the auxiliary storage device 15.
The number of times that the manufacturer's event is displayed on the map screen 227 during a predetermined period. The number of times that the manufacturer's event is displayed on the detailed screen 228 during the predetermined period. The number of times the product site is displayed on the mobile terminal device 4 · The number of times the user purchased the product of the manufacturer using the electronic coupon during the predetermined period · The report is the manufacturer server in the predetermined period Number of times sent to 2.
The store invitation section 22 multiplies the number of times by a predetermined unit price, and stores the result in the auxiliary storage device 15 in association with the manufacturer.

Similarly, the store invitation section 22 holds, for example, at least one of the following values for each store and stores it in the auxiliary storage device 15.
The number of times an event executed at the store in a predetermined period is displayed on the map screen 227. The number of times an event executed at the store is displayed on the details screen 228 in a predetermined period. The number of times that the site of the store is displayed on the portable terminal device 4 for a predetermined period, the number of times or the amount of money that the user has purchased the product at the store using the electronic coupon, and the report for the predetermined period The number of times sent to.
The store invitation section 22 multiplies the number of times by a predetermined unit price, and stores the result in the auxiliary storage device 15 in association with the store.

(Variation 3: Inventory forecast)
FIG. 13C and FIG. 14B are compared. Based on the order information 31, the store invitation section 22 displays the “provision number” in FIG. However, if the number of items in stock is displayed, it is more convenient for the user. Therefore, it is assumed that the auxiliary storage device 15 stores the inventory information 38 (FIG. 6B).

The store visit attracting unit 22 receives the number of stocks from the store server 5 in real time (or by batch processing with a predetermined frequency such as once a day), thereby constantly maintaining the number of stocks at the latest value. Alternatively, the number of sales is received from the store server 5 in real time, and the number of sales received is subtracted from the quantity of order information, thereby constantly maintaining the number of stocks at the latest value.
Then, the store invitation part 22 displays a detail screen 230 instead of the detail screen 228 in step S321. The detailed screen 230 displays the number of stocks.

However, if the data cannot be received from the store server 5, the store invitation section 22 can also estimate the number of stocks. For example, the store invitation section 22 refers to the order information 31 and calculates an average value per day of the shipment quantity of the product for the store. Then, “average value × elapsed days” is added to the inventory quantity received last time. Further, the number of addition results is displayed on the detailed screen 230 with the letters “(estimated)”.

(Modification 4: Evaluation of electronic coupon and free sample)
The report creation unit 24 can also evaluate the validity of the electronic coupon for each store. The report creation unit 24 refers to the POS information 37, the average product price “p ₁ ” of the product purchased by the user using the electronic coupon during a predetermined period, and the user An average product price “p ₂ ” of products purchased without using a coupon is calculated.
Then, for example, the report creation unit 24 performs a statistical test process on the assumption that the probability distribution of “p ₂ ” follows a normal distribution. Specifically, if the value of “p ₁ ” belongs to the probability distribution of “p ₂ ”, for example, “5% right-side rejection area”, it is determined that the electronic coupon contributed to the sales growth of the product. To do. Then, the report creation unit 24 transmits a report describing the store name, the value of “p ₁ ”, and the value of “p ₂ ” to the manufacturer server 2 or the store server 5. Of course, the report creation unit 24 can also perform such processing based on the number of products sold instead of the product price, and is not limited to evaluation for each store, evaluation for each product, evaluation for each user. Can also be done.

The report creation unit 24 can also evaluate the effectiveness of the distribution of free samples for each store. The report creation unit 24 refers to the POS information 37, and the number of customers “r ₁ ” on the day when an arbitrary event is performed, and the day of the week that is the same as that day and the event is not performed. The number of customers “r ₂ ” is calculated. Then, for example, the report creation unit 24 performs statistical analysis on the assumption that the probability distribution of the value of “r ₁ / r ₂ ” for all stores follows a normal distribution with an average of “1.0”. Perform the test process. Specifically, when the value of “r ₁ / r ₂ ” for a certain store belongs to the probability distribution, for example, “5% right-side rejection area”, the distribution of the free sample is effective in the store. Judge that there was. Then, the report creation unit 24 transmits a report describing the store name, the value of “r ₁ ”, and the value of “r ₂ ” to the manufacturer server 2 or the store server 5. Of course, the report creation unit 24 can also perform such processing based on the total amount of merchandise instead of the number of customers visiting the store, and is not limited to evaluation for each store, evaluation for each product, evaluation for each user. Can also be done.

(Modification 5: Cooperation with SNS)
Since SNS is a place where people having the same hobby exchange opinions, if a certain product matches the hobby, the advertisement in the SNS is effective. Therefore, the store invitation section 22 refers to the browsing information 36 and detects that a certain user has transmitted a product questionnaire result. Then, an advertisement message is transmitted to the SNS server (not shown) for the user stored in the user information 35. The advertisement message is, for example, “Mr. XX used a sample of the product XX”. These processes are based on the premise that the user has permission. The store invitation part 22 considers the diffusive power by word of mouth, and after narrowing down the detected users to users who have a predetermined number or more of “friend links” (links from the user to users other than the user) An advertising message may be sent.

The manufacturer itself may operate an SNS server. In this case, the store invitation part 22 accesses the SNS server and specifies a user who is creating a sentence in the SNS server using a predetermined keyword. For example, a cosmetic manufacturer specifies a user who uses a keyword such as “skin”, “hari”, “texture”, “moist”, “face-wash”. Then, the advertisement message may be transmitted to the user.

(Modification 6: Modification of event date, etc.)
When events of a plurality of products having different manufacturers and the same product category are performed on the same day at the same store, the advertising effect may be reduced. Some manufacturers dislike competition for such events and often want to shift their days or change their stores. In step S303, when receiving the order information 31, the event planning unit 21 acquires all the records that satisfy the following conditions at the same time.
・ Store ID is the same.
-The event start time is included on the same day.
・ Product category is the same.
・ Manufacturers of the products are different (it is found by referring to the product master 33).

Next, the event planning unit 21 transmits the acquired record to the manufacturer server 2, and accepts that the operator of the manufacturer inputs the corrected store ID or event start time date. Then, the record of the order information 31 is updated with the received corrected data. Furthermore, if the prior consent of the manufacturer is obtained, the event planning unit 21 resets the date of the event start time of the competing event so as not to overlap without inquiring of the manufacturer, or the store You may reset so that ID may not overlap.

(Modification 7: Estimated preference vector)
A busy user may not input his / her preference at the time of registration. Furthermore, even if the user inputs a preference, the preference changes with the passage of time. Therefore, the store invitation section 22 independently estimates an “estimated preference vector” separately from the user input. The configuration of the estimated preference vector is the same as the preference vector as follows. However, “#” is attached to clarify the estimated value.

Estimated preference vector: (sweet / medium / spicy, likes tea / ordinary / dislike, likes deep-flavored food / ordinary / dislike, likes exercise / normal / dislike, cares about health / neither / not No, go to the convenience store every day / sometimes go / do not like, like shopping / ordinary / dislike) ^# = (0,0,0,0,0,0,0) ^#
The store invitation part 22 sets “0” as the initial value of each component of the estimated preference vector. Thereafter, referring to the browsing information 36 and the POS information 37 on a predetermined date (for example, the last day of every month), each component is updated according to the following rules, for example.

If the number of purchases of sweet drinks (food) exceeds the predetermined threshold after the previous date, the “sweet / medium / spicy” ingredient is updated as “0” → “1”. If there are no purchases at all, it is updated as “0” → “−1”. The product master 33 is assumed to have detailed information to the extent that the taste of the product can be understood.
If the number of tea purchases exceeds the predetermined threshold after the previous date, the “I like tea / ordinary / dislike” component is updated as “0” → “1”. If there are no purchases at all, it is updated as “0” → “−1”.
If the number of purchases of dark-flavored food is greater than or equal to a predetermined threshold after the previous date, the component “I like dark-tasting / ordinary / dislike” is updated as “0” → “1”. If there are no purchases at all, it is updated as “0” → “−1”.

・ After the above-mentioned date, the distance between the point where the schedule was registered and the point of the store that visited the store is added up. If the accumulated distance is equal to or greater than a predetermined threshold, the component “I like exercise / ordinary / dislike” is updated as “0” → “1”. If the accumulated distance is less than or equal to a predetermined threshold value, it is updated as “0” → “−1”.
・ If the number of purchases of health foods exceeds the specified threshold since the previous date, the “Health / None / None” component is updated from “0” to “1” To do. If there are no purchases at all, it is updated as “0” → “−1”. It is assumed that the merchandise master 33 has detailed information to the extent that the merchandise is known as health food.

・ If you visit the store every day after the previous date, update the component “go to the convenience store every day / sometimes go / do not go” from “0” to “1”. If there is a day when the store does not visit even one day, it is updated as “0” → “−1”.
If the number of visits since the previous date is equal to or greater than a predetermined threshold, the component “I like shopping / ordinary / dislike” is updated as “0” → “1”. If there is no visit to the store at all, it is updated as “0” → “−1”.

In the above description, the example in which the component value is updated to “1” or “−1” with “0” as the center has been described. However, in the same way, the store invitation section 22 can also update sequentially from “−1” → “0” → “1”, or from “1” → “0” → “−1”. It can also be updated sequentially.
The store invitation section 22 uses the latest estimated preference vector as “V ₃ ” when the process of step S 317 is executed after a predetermined period (for example, 6 months) has elapsed after the user registers the preference. To do.

The store invitation section 22 monitors the number of times that the user has browsed a predetermined product on the detailed screen 228, for example, and each time the number increases by a predetermined number (for example, “1”), the estimated preference according to the following formula The vector may be updated.
Estimated preference vector after update = estimated preference vector before update + k ₁ × product characteristic vector Here, the product characteristic vector is an arbitrary preference vector having a component indicating interest in the product viewed by the user, or purchased by the user It is an arbitrary preference vector having a component indicating an interest in the product. “K ₁ ” is a small positive number (for example, “0.01”). Then, it becomes easy to search for a product similar to the predetermined product.

The store invitation part 22 may update the estimated preference vector according to the following formula every time a predetermined period (for example, one month) elapses.
Estimated preference vector after update = k ₂ × estimated preference vector before update Here, “k ₂ ” is an attenuation coefficient (0 <k ₂ <1). Then, the influence of the preference vector that becomes obsolete with the passage of time can be limited.

(Effect of embodiment)
(1) The information distribution apparatus according to the present embodiment can directly use information that can be disclosed among order information created by a manufacturer.
(2) The information distribution apparatus of the present embodiment can quantitatively determine the degree (display priority score) that the user's preference and the like match the manufacturer's evaluation.
(3) The information distribution apparatus of this embodiment can attract a user to the event implemented in a store by displaying a map on the portable terminal device which a user uses.
(4) The information distribution apparatus of the present embodiment can attract an event for distributing a free sample to a user. Therefore, the manufacturer and the store can predict the sales of goods in advance.

(5) The information distribution apparatus of this embodiment receives a product questionnaire result from the user who used the sample. Therefore, the manufacturer and the store can use the questionnaire for future product development.
(6) The information distribution apparatus of this embodiment holds a premium degree for each user. Therefore, it is possible to give a user a motivation to cooperate with a product questionnaire or the like.
(7) The information distribution apparatus of the present embodiment creates a report that analyzes user behavior and the like. Therefore, manufacturers and stores can use the report to analyze the market.
(8) The information distribution apparatus according to the present embodiment prevents the events of commodities of different manufacturers from overlapping at the same time and the same store. Therefore, it is easy to obtain cooperation from the manufacturer, such as data provision.
(9) The information distribution apparatus of the present embodiment presents the number of products in stock to the user. Therefore, the motivation for the user to visit the store can be further improved.

In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function can be stored in a recording device such as a memory, a hard disk, or an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
In addition, the control lines and information lines are those that are considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. In practice, it may be considered that almost all the components are connected to each other.

DESCRIPTION OF SYMBOLS 1 Information distribution apparatus 2 Manufacturer server 3 Distributor server 4 Portable terminal device 5 Store server 6 Network 11 Central control apparatus (control part)
12 Input device 13 Output device 14 Main storage device (storage unit)
15 Auxiliary storage device (storage unit)
16 Communication Device 21 Event Planning Department 22 Visiting Shop Inviting Department 23 Re-visiting Shop Inviting Department 24 Report Creation Department 31 Order Information 32 Store Master 33 Merchandise Master 34 Event Information 35 User Information 36 Viewing Information 37 POS Information 38 Stock Information

Claims

Stored in association with a product is a store where the product is distributed or sold, a time when the product is distributed or sold at the store, and information indicating that the product, the store, and the time can be disclosed. A storage unit storing order information to be processed;
From the order information, extract the product associated with the information indicating that it can be published,
For a mobile terminal device located within a predetermined distance from the location of the store,
A control unit that transmits the extracted product and the product related information including the store and the time point associated with the product before the time point arrives;
An information distribution apparatus comprising:
The storage unit
In association with the user of the mobile terminal device, at least one of the form of distribution or sale of the product desired by the user, product category and brand, user preference, and personal profile of the user is stored. Stores user information,
The controller is
A score indicating the degree to which at least one of the form of distribution or sale of the product desired by the user, product category and brand, user preference, and personal profile of the user matches a predetermined evaluation criterion. Calculated based on the user information,
Determining the product related information to be transmitted in descending order of the score;
The information distribution apparatus according to claim 1.
The controller is
Transmitting the product related information so as to display a map on which the location of the store related to the extracted product is displayed on the mobile terminal device;
The information distribution apparatus according to claim 2.
The form of distribution or sale is as follows:
Including free samples,
The information distribution apparatus according to claim 3.
The controller is
Transmitting the sample questionnaire to the mobile terminal device after the sample of the product is distributed to the user;
The information distribution apparatus according to claim 4.
The controller is
Determining the number of store information to be transmitted to the mobile terminal device according to a degree of contribution of the user to a predetermined matter including an answer to the questionnaire;
The information distribution apparatus according to claim 5.
The controller is
Based on the browsing information when the user uses the mobile terminal device and the information indicating the user's activity in the store, a report describing information indicating the user's interest in the product is created. ,
Sending the created report to the store or the manufacturer of the product;
The information distribution apparatus according to claim 6.
The controller is
When the time at which the product is distributed or sold in the store overlaps among the products of a plurality of the manufacturers, the store or time at which the product is distributed or sold is changed,
The information distribution apparatus according to claim 7.
The controller is
Receive the number of items in stock from the store,
Displaying the received inventory quantity on the mobile terminal device;
The information distribution apparatus according to claim 8.
The storage unit of the information distribution device
Stored in association with a product is a store where the product is distributed or sold, a time when the product is distributed or sold at the store, and information indicating that the product, the store, and the time can be disclosed. Order information to be stored,
The control unit of the information distribution device includes:
From the order information, extract the product associated with the information indicating that it can be published,
For a mobile terminal device located within a predetermined distance from the location of the store,
Sending the product-related information including the extracted product and the store associated with the product and the time point before the time point arrives;
An information distribution method for the information distribution apparatus.