JP4573965B2 - Optimal consumption behavior search method - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention costsAnd of timeFrom the combinationsingleOptimal consumption behavior search that provides consumers with optimal consumption behavior that is determined to have the lowest cost per hourMethodAbout.
[0002]
[Prior art]
In ordinary shopping, the purchase price of the target product is used as a purchase criterion, a store that presents the lowest available price is selected, and a visitor uses a transportation means that the consumer can select to purchase. For consumers, it is preferable that the price is as low as possible, and for the purpose of presenting a cheaper offer price, the store side frequently used advertisements inserted in newspapers. In recent years, with the spread of the Internet, homepages that allow browsing of lists for the purpose of comparing offered prices have begun to be released. Although mainly for computers and high-priced products, the comparison of prices offered on such homepages is superior to insert advertising in that the prices offered for the same products at each store can be viewed at once.
[0003]
[Problems to be solved by the invention]
In normal shopping except mail order sales, the consumer must actually visit the dealer. For this reason, even if the offer price is slightly lower than that of other stores, a situation in which a store with a slightly higher offer price can be obtained in the end when compared with transportation costs and the like may occur. In addition, depending on the means of transportation to the dealership, there may be time loss due to traffic jams and the presence or absence of parking lots, and it is often difficult to determine the dealership by simply comparing the offered prices. This is the same whether it is an insert advertisement or a list on a homepage, and is applicable not only to the sale of products but also to the provision of services (haircuts, beauty, etc.) at restaurants, and eating and drinking.
[0004]
In this regard, in mail order sales, differences due to means of transportation do not become a problem, and comparison of offered prices is a major factor in determining dealers. However, in reality, there are many cases where there is a difference in the delivery cost based on the distance from each dealer to the current location of the consumer and the difference in the delivery mode, and it is not always possible to determine only by the provided price. In this way, there is a situation where it is difficult to determine a store by simply comparing provided prices. Therefore, as an index for purchasing goods or services, it is not just about the offered price but the cost, time or a combination of both.SimpleIn order to develop a search system that provides consumers with optimal consumption behavior that is judged to have the lowest cost per hour, we examined it.
[0005]
[Means for Solving the Problems]
What was developed as a result of the studyIn order to provide consumers with the optimal consumption behavior that is determined to be the lowest cost per unit time from the combination of cost and time, the client of a specific consumer is connected to the server of the data management company via the Internet, and the specific The client inputs the current location or destination, the desired product or service, and the transportation means from the client to the server, and the server provides the price of each product or service at each store and the transportation means. The total amount of transportation expenses from the current consumer's current location or destination to each dealer and the transportation expenses among multiple dealers based on transportation means the current consumer's current location or destination based on transportation. Divided by the total time of travel time from each store to each store and the travel time between stores based on transportationIs judged to be the lowestSalesSearch patrol order of a store or multiple storesLet,Allow a specific consumer to display and browse the circulation order of the store or a plurality of stores output from the server on the clientOptimal consumption behavior searchMethodIs. ThisAs shown in the table above, the total utility value (costas well asTimeAmongComposition that suggests optimal consumption behavior based onPreferGood. The specific consumer in the present invention refers to a consumer who actually uses the search system of the present invention. In order to calculate the cost and time of the comparison factor, not only the goods or services desired by the consumer, but also the current location or destination for each consumer needs to be specified hypothetically or realistically.
[0006]
Here, (1) The cost used when judging the optimal consumption behavior is the price offered at each retailer of goods or services desired by a specific consumer and the traffic from the current consumer's current location or destination to each retailer. The total amount of expenses and transportation expenses between multiple dealers. More specifically, the transportation expenses are the sum of the transportation expenses based on the specific factors assumed for each transportation means and the transportation expenses based on the difference in transportation means used by the specific consumer. Transportation means the consumerInSpecifiedLet,For exampleFrom the current location or destination enteredserverSelect appropriately on the sideMay be allowed.
[0007]
The optimal consumption behavior of a specific consumer is most easily understood by comparing the total costs. So, first, determine consumption behavior by cost.Can be considered.Cost isIn addition, by adding the traffic costs based on the traffic conditions based on the specific factors assumed for each means of transportation into money, it is possible to calculate the cost as a more practical comparison factor. The situation costs include, for example, monetary value converted from train and bus transfer times, fuel consumption of private cars, monetary value converted from traffic congestion, and monetary value converted from using detour routes based on construction and accidents. Etc. For each monetary value and fuel consumption, a reference value is set in the database in advance, and is appropriately extracted from the current location or destination of the consumer and the selected means of transportation. Traffic jams, construction works and accidents are converted into specific monetary values in real time based on traffic information.
[0008]
In addition, (2) the time used when determining the optimal consumption behavior is the total travel time from the current location or destination of the specific consumer to each store or the travel time among a plurality of stores. More specific travel time is the basic time based on the difference of transportation means used by a specific consumer, and the traffic time based on the traffic conditions based on the specific factors assumed for each transportation means is added to the time. The means of transportation is specified by the consumer himself / herself or from the current location or destination entered.serverSelect appropriately on the side.
[0009]
Depending on the particular consumer, it may be desirable to finish shopping in less time than cost. So, second, determine consumption behavior by timeCan be considered.the time is,Judge the combination of offer price and time as a comparison factorTheThe traffic time based on the traffic conditions based on the specific factors assumed for each transportation means is the time required for selecting the transportation means selected based on the distance between the current location or destination and the store, for example, the transfer time of a train or bus There are time value converted from time and traffic jam, time value converted from using a detour route based on construction and accidents, and the like. For the transfer time, average required time, and time value, a reference value is set in advance in the database and is appropriately extracted from the current location or destination of the consumer and the selected means of transportation. Traffic congestion, construction, and accidents are converted into specific time values in real time based on traffic information.
[0010]
A more practical use form of the present invention is a case where an appropriate store is selected from a comparison element combining cost and time. Actually, the sense of the conversion ratio to money varies depending on consumers. For this reason, it is preferable to use a mode in which an appropriate dealer is first extracted according to cost, and information is provided in the form of adding the transportation cost, the circumstances time, or the total time for the search results. From this, the determination of the optimal consumption behavior using the present invention suggests a plurality of stores that are preferable to the consumer, and the consumer finally selects the store. In other words, it is an auxiliary system for determining the optimum consumption behavior, and it roughly narrows down and reduces the labor of the consumer when determining the store. This allows the consumer to find a store from a wider area or from a number of stores.
[0011]
The determination of consumption behavior up to the above can also be applied to various services related to money and time.applicationit can. When used for mail order sales, a combination of a plurality of dealers is used instead of the circulation order. (3) The cost is the delivery cost based on the price provided at each retailer of the goods or services desired by the specific consumer, and the difference in the distance from each retailer to the current location of the specific consumer and the delivery mode. Similarly, the time for determining the optimum consumption behavior (4) is the total time of the time for obtaining the product from each dealer and the delivery time from each dealer to the specific consumer's current location. Mail order sales tend to be received simply by comparing prices only because consumers do not have to go to stores, but in reality, various expenses (delivery costs, (Interest in installments) and delivery times vary. In particular, the presence or absence of inventory is a big comparison factor when determining a store. For this reason, it is meaningful to determine a store using the present invention. The delivery mode means a time designation service or a cash on delivery service. In the present invention, the difference in service that differs depending on the region or the store is converted into money or time and can be easily compared.
[0012]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a configuration example using the system of the present invention, FIG. 2 is a flowchart showing a procedure for using a mobile phone 2 capable of transmitting and receiving information from the Internet 1, and FIGS. FIG. 3 is a front view of the display screen of the mobile phone 2 until execution, FIG. 3 is an ID / PASSWORD input screen, FIG. 4 is a main menu screen, FIG. 5 is a desired product category selection screen, and FIG. 7 is a screen for selecting a specific product in the 50-sound search result, FIG. 8 is a search screen for transportation, FIG. 9 is an additional condition input screen for search, and FIG. 10 is a current location (or destination) input. FIG. 11 is a distance limit input screen for the current location (or destination), and FIG. 12 is a search condition confirmation screen.
[0013]
For example, as shown in FIG. 1, the system according to the present invention is configured such that each store 3, advertisement production company 4, database management company 5, and consumer 6 are connected to each other via the Internet 1 ( Each represented by a computer). Among these, in this example, the database 7 is constructed in the database management company 5 (server). The database 7 can be opened and used as a normal home page, and can be searched from the mobile phone 2 capable of transmitting and receiving information. The database management company 5 receives the offer price information of goods or services from each dealer 3 via the Internet 1 or directly, collects the offer price information from various advertisements (folded flyers, TV commercials, etc.) The database 7 is updated every day or every hour. Such frequent updates are provided by each dealer 3 because the price of goods or services offered by each dealer 3 varies from day to day or from hour to hour (the purchase price or price of goods varies from day to day or hourly). The type of goods or services to be performed and the offer price need to be updated sequentially. In addition, the offer price may be updated by receiving the time service of each dealer. Cost that is a feature of the present inventionas well asInformation necessary for time calculation (basic transportation expenses, etc., which will be described later) is separately created by the database management company 5 and updated as appropriate.
[0014]
The database management company 5 publishes the database 7 so that it can be searched, and separately publishes advertisements from each store 3. Examples of the advertisement disclosure means include a mode in which a browsing page is provided separately to a homepage to be disclosed, or an advertisement of each store is added to a search result. These advertisements include not only sales outlets but also special price information and additional services, and the information that has been described in the insert advertisements in the past is advertised on a homepage. This advertisement is provided directly from each dealer to the database management company 5 and also via the advertisement production company 4. Although not directly related to the present invention, as a method of presenting the offer price or advertisement, the homepage of the dealer 3 itself may be disclosed through each dealer 3 or a separate provider. The URL of the homepage of each dealer 3 is displayed in association with the search result of the database 7, and if more detailed information is referred to the homepage, the decision factor when the consumer decides the optimal consumption behavior It can be provided in various ways.
[0015]
The procedure for using the database 7 in this example differs depending on the type of terminal (client) used by the consumer, but in general, the database 7 of the database management company 5 is accessed via the Internet 1 and can be seen in FIG. Thus, the search is executed under various conditions, and the search result answer is received. A specific example of this use procedure will be described by taking as an example the case where the consumer a uses the mobile phone 2 capable of transmitting and receiving information. The system according to the present invention may be free and open to the public as service fee collection from the store 3 side or management based on advertisement revenue, but in this example, it is limited to a specific target person. Therefore, individual ID and PASSWORD are given in advance from the database management company 5 to consumers who can search the database 7. Then, the consumer a who accessed the database management company 5 with the mobile phone 2 first inputs an ID and a PASSWORD from “<Login Menu>” as seen in FIG. 3. The entered ID and PASSWORD are transmitted to the database management company 5 via the Internet 1, and after the authentication is completed, the consumer a is allowed to access the database 7, and the subsequent “<Main Menu>” (see FIG. 4). Move on. In this “<Main Menu>”, in addition to the following various condition setting and basic search execution services, the special price information of each dealer can be viewed in “6. Today's information!”. The consumer a can obtain information for selecting a final store from the search result by confirming the special price information and the advertisement of each store in advance. It is also possible to identify a dealer based on the special price information (for example, set a flag) and add a dealer to be searched in advance.
[0016]
In the database search of this example, as shown in FIG. 4, the selection of goods (or service selection) and the selection of transportation means are essential input conditions, and additionally sales from the current location or destination, current location or destination. Store distance restrictions can be entered as additional conditions. Among these conditions, as the initial value, the current location and the destination may be set to the home address of the consumer a who is a registered user. Usually, the use of the present invention will be mainly for shopping from home. Thus, if the current location and destination are set in advance as the home address, the consumer a can only select the goods or services and the transportation. Searchable. In any case, since there are a wide variety of input items, each input item can be input by switching pages sequentially from “<Main Menu>”, and the search conditions can be confirmed separately from “5. Confirm input” (FIG. 12). Each item is selected and executed by a combination of sequential shift selection and execution key using the direction keys, or direct number selection from the numeric keypad.
[0017]
When moving from “1. Product selection” to “<Goods Select Menu>”, as shown in FIG. 5, first select the category of the product to be searched, and then select “8.50 sound search” for specific product. The target product is input by two-stage aperture selection. When this system is constructed individually for each product category, the product category is limited to the same type, so it may be possible to select a product directly or enter characters, but in this example, there are 4 categories for food, Further, since multi-category such as Sunday miscellaneous goods, clothes / underwear, cosmetics, etc. can be handled, step-by-step product input such as classification selection and 50-sound search as described above is preferable. Specifically, first put a check mark on the category that would contain the desired product, then move from “8.50 sound search” to “~ 50 sound search” (FIG. 6). Enter and search to select specific products. By using such a narrow search, it is possible to search for a desired product relatively easily even if a large number of products are registered in the database. In addition, in this example, so that information related to the selected classification can be browsed, “2. Special price information” is selected on the screen of “˜50 sound search” (FIG. 6), and the special price information and advertisement of each store. Etc. can also be seen. When the search is performed again, “0. return” is returned to “<Main Menu>”.
[0018]
When “1. Search execution” is applied in “˜50 sound search” (FIG. 6), a list of the initial products in the selected category is displayed in “<Select Results>” (FIG. 7). In this example, the selected categories are “1. Food (vegetables)” and “2. Food (meat eggs)” (Figure 5), and “Kita” was entered as the initial letter. The result is a list of vegetables, meat or eggs that begin with “ki” or “ta”. In this example, “˜50 sound search” (FIG. 6), an OR search is performed by inserting a space between characters, and a wide range of products can be searched. In addition to this, it is easier to search for a desired product by inputting not only the initial characters but also a plurality of characters so that the search can be performed by front matching or backward matching. In this example, the product is described as an example. However, for the service, the desired service can be specified by the same procedure from “2. Select service” of “<Main Menu>” (FIG. 4).
[0019]
In this example, cucumbers and eggs are selected as products (FIG. 8), a check mark is added, and “0.Return” returns to “<Main Menu>”. This completes the input of the product conditions used for the search for the final optimum consumption behavior. Similarly, next, a transportation mode is selected. The present invention further enables a search for a comprehensive optimum consumption behavior in consideration of the disadvantages of transportation means, and the selection of transportation means is one feature. In this example, the “<Main Menu>” (FIG. 4) moves from “3. Transportation” to “<Transportation Menu>” (FIG. 9), and the transportation is selected directly. When the consumer a registers, the motorcycle used by the consumer a, the fuel consumption of a private car, the buses and train routes that can be used from home are provided as initial settings, and the numerical values necessary for selection of this means of transportation Can be set automatically. If the numerical values are not set (no personal information is registered), a standard value is set separately by a database management company. In this example, a check mark is added to “2. Bicycle”, and “0.Return” returns to “<Main Menu>”.
[0020]
Basically, once the desired product (or service) has been identified and the means of transportation has been determined, the system of the present invention can now be used. However, in order to search for consumer behavior that is more favorable for each consumer, it is often desirable to give more detailed conditions. In this example, as shown in Fig. 9, as these more detailed conditions, the current location or destination setting ("1. Change current location", "3. Change destination") and each sale from the current location or destination Store distance restrictions (“2. Area restrictions from current location”, “4. Area restrictions from destination”) and cost as the criteria for optimal evaluationas well asTime (“5. Cost priority”, “6. Time priority”) is mentioned.
[0021]
As described above, the current location and the destination register the home address of the consumer a. However, when the system of the present invention is used, the current location may not necessarily be at home, and the destination may not be at home. is there. In such a case, “1. Change current location” or “3. Change destination” is selected from this “<Option Menu>” (FIG. 9). Further, when a restriction is placed on the distance of the store from the set current location or destination, “2. Area restriction from current location” or “3. Area restriction from destination” is selected, respectively. It is desirable not to remove the evaluation criteria in order to improve the evaluation. In the standard, “5. Cost priority” is checked. Cost performance (C / P) combining cost and time by changing check mark to “6. Time priority” if necessary, and adding check mark to both “5. Cost priority” and “6. Time priority” Is the evaluation standardThe
[0022]
In this example, the operation method according to the product specific procedure is used to input the current location (or destination). Specifically, move from “1. Change current location” to “<Present Change>” (Fig. 10) in "<Option Menu>" (Fig. 9), and first search for prefectures and municipalities from the initials. After narrowing down, enter details such as address. Even if your current location is not your home, it will not deviate significantly from the same or neighboring municipalities, so it usually does not seem necessary to enter a prefecture, but the present invention is suitable for a wide variety of products and services and is optimally consumed at any location. Since the purpose is to be able to determine the action, for example, such address input is used on the assumption that the consumer a uses the system of the present invention at the destination.
[0023]
As shown in FIG. 11, the input about the restriction on the distance of the store from the current location (or destination) is a selection formula. In this example, if a transportation means is selected, a basic distance limit is already set, and the input of this additional condition changes the distance limit. Specifically, as the distance limit of the store from the current location, bicycle is selected as the means of transportation (Fig. 9), so a check mark is attached to "within 4.5km" as an initial setting. This has been changed to “within 3.3 km”. When the present location = the destination, the distance limitation for the current location also becomes the distance limitation for the destination.
[0024]
Once all search conditions have been set in this way, you can search by selecting “9. Search Execution” from “<Main Menu>” (Figure 4), but from “5. Input Confirmation” to “<Search Certification” > "(Fig. 12), and the search condition list can be confirmed. Items that are not set are blank. In the case of this example, the search conditions are as follows. Target product is cucumber, egg, no target service, transportation is bicycle, current location is home (specify a specific address if otherwise), distance limit of store from current location (area limit) is 3 km, destination is current location Since there is no display because it is the same as the above, there is also no display of the restriction on the distance (area restriction) of the store from the destination.
[0025]
FIGS. 13 to 15 are flowcharts showing an example of an algorithm for determining the optimal consumption behavior based on the above conditions, FIG. 13 is a search preparation stage, FIG. 14 is a comparative calculation value calculation stage, and FIG. Each represents the optimal consumption behavior decision stage. When the consumer a selects “9. Execute search” from “<MainMenu>” (FIG. 4), first, a numerical value for comparison calculation is set according to the procedure shown in FIG. Many dealers are registered in the database as a united product, regardless of product classification, but it takes too much time to calculate by comparing all of them. Therefore, in this example, a set A of dealers that matches the current location and the distance restriction with respect to the current location is first extracted from the set U of all registered dealers. If the destination is different from the current location and there are further distance restrictions on the destination, further narrowing is performed by the distance restrictions on the destination and the destination.
[0026]
Next, since the set A includes all products or service classifications, a store that handles the target product designated by the consumer a is selected. In this example, since cucumbers and eggs are selected as target products, a set B1 is extracted for cucumbers and a set B2 is extracted for eggs. Naturally, there is a possibility that the same store is extracted from B1 and B2, so the number of B1 or B2 is smaller than the number of A, but B1 + B2 ≠ A is not satisfied. In this way, for a plurality of products or services, a set of sales outlets is individually formed because the optimal consumption behavior determined by the present invention is not necessarily satisfied by one sales outlet, but a plurality of sales outlets. It is because it may extend. The number of dealers to be selected will not exceed the number of target products or services (do not propose combining multiple dealers for the same product or service), but as a result, the number of target products or services will be limited to the maximum number Whether it will be a store or a plurality of stores must wait for the comparison calculation described later.
[0027]
In order to perform the comparison calculation, the cost, time, or cost per unit time (C / P) is calculated for each combination automatically determined from the collections B1 and B2 of the dealers that have been extracted. The cost, time, or C / P differs depending on the combination of the mth store in the set B1 and the nth store in the set B2. Therefore, in order to calculate the cost or time (C / P is cost / time) for each combination, first, basic values that assist the calculation are set from the search conditions (Fig. 13), and second, the basic values. The specific cost or time is calculated from the data obtained from the dealer in each combination (FIG. 14).
[0028]
Basic figures include costs and time based on transportation. In this example, (a) basic means cost M0 per unit distance (or section) in each means of transportation, (b) basic movement speed B0 per unit distance in each means of transportation, (c) basic circumstances expense in each means of transportation S1 to S4, and (d) basic circumstances times R1 to R4 in each means of transportation. (A) The basic means cost M0 is the fuel consumption for private cars, the amount calculated from the labor required to move the unit distance for bicycles, and the section fee for trains and buses. (B) The basic movement speed B0 is the average speed of private cars and bicycles. The basic vehicle cost M0 and the basic movement speed B0 of the private car can be preset when the consumer a is registered. (C) Basic circumstances costs S1 to S4 are converted to money for traffic jams, construction, inaccessibility and difficult roads, and (d) Basic circumstances times R1 to R4 are converted to hours in traffic conditions, construction, inaccessibility and difficult roads. It is a thing. In either case, the evaluation changes depending on the transportation means. Therefore, prior to execution of the search, the selection of the transportation means is received, and it is set by quoting from a separate table built in the database.
[0029]
The cost and travel time of the combination of the mth store in the set B1 and the nth store in the set B2 can be calculated by the sum of the basic numerical values and the data obtained from the store in each combination. In this example, in order to calculate each element for calculating the cost and the travel time individually, many types of arrays are set. Specifically, as shown in FIG. 14, provided price P (w, m, n), transportation cost (means cost) M (w, m, n), transportation cost (expense) S (w, m , n), travel time (basic time) B (w, m, n), travel time (conditional time) R (w, m, n), cost C (w, m, n), and travel time T (w , m, n). Here, w is the order of visiting the store, and is the order of purchasing the target product (in this example, whether to buy cucumbers first or eggs first). In fact, the order of visiting the dealerships can affect the results. Therefore, it is necessary to calculate also when m: 1 to B2 = 10 and n: 1 to B1 = 8. That is, the order of current location → B1 dealer → B2 dealer → destination (current location in this example) is w = 1, current location → B2 dealer → B1 dealer → destination is w = 2. is there.
[0030]
The offer price P (w, m, n) is the sum of the offer prices of the products extracted from the dealers corresponding to each array. In this example, it is the sum of the provision price of cucumbers at the m-th store of the set B1 and the provision price of eggs at the n-th store of the set B2. The provision price P (w, m, n) can be reduced in calculation amount as the provision price P (1, m, n) = the provision price P (2, m, n) irrespective of the order of visiting the dealers. .
[0031]
Transportation cost (means cost) M (w, m, n) is the distance from the current location to the mth store in the set B1, and the distance from the mth store in the set B1 to the nth store in the set B2. , And the sum of the distance from the nth store in the set B2 to the destination multiplied by the basic means cost. At this time, if the mth store in the set B1 and the nth store in the set B2 are the same, the distance from the mth store in the set B1 to the nth store in the set B2 is 0 km. Therefore, the transportation cost (means cost) M (w, m, n) is reduced. Transportation cost (means cost) M (w, m, n) is also a value proportional to distance, so transportation cost (means cost) M (1, m, n) = transportation cost (means cost) M (2 , m, n) can reduce the amount of calculation.
[0032]
Here, for the calculation of the distance and the setting of the route, for example, an algorithm used for car navigation can be used or applied. Further, rank values and distances may be set for main roads, branch lines and others for each road divided by intersections, and for example, the distance may be summed so that the total rank value between the current location and the store becomes small. The route is automatically determined by calculating the distance. Furthermore, if the current location = home, the calculation amount can be reduced by calculating the distance and route from the home address registered in advance to the nearest sales store as a table.
[0033]
Transportation costs (expenses) S (w, m, n) are from the current location to the mth store in set B1, from the mth store in set B1 to the nth store in set B2, and It is obtained by adding the basic circumstances costs in response to the traffic conditions occurring between the nth store in the set B2 and the destination. For example, if there is a construction between the current location and the m-th store in the set B1, the basic circumstances cost of S2 is added. The presence or absence of traffic conditions is determined from the traffic information service after setting the route. For this reason, this transportation expense (conventional expense) S (w, m, n) changes with time. In addition, the transportation cost (conventional cost) S (w, m, n) affects the order of the stores.
[0034]
Travel time (basic time) B (w, m, n) is the distance from the current location to the mth store in the set B1, and the distance from the mth store in the set B1 to the nth store in the set B2. , And the sum of the distances from the nth store in the set B2 to the destination divided by the basic travel speed. At this time, if the current location and the destination are both at home, and the m-th store in the set B1 and the n-th store in the set B2 are the same, the n-th set in the set B2 from the m-th store in the set B1 Since the distance to the store is 0 km, the travel time (basic time) B (w, m, n) is the round trip time to the mth store in the set B1 (or the nth store in the set B2). Become. Since the travel time (basic time) B (w, m, n) is also a value proportional to the distance, the travel time (basic time) B (1, m, n) = the travel time (basic time) B (2 , m, n) can reduce the amount of calculation.
[0035]
The travel time (conditional time) R (w, m, n) is from the current location to the mth store in set B1, from the mth store in set B1 to the nth store in set B2, and This is the basic situation time that is added up in response to the traffic situation occurring between the nth store of the set B2 and the destination. For example, if there is a construction between the current location and the m-th store in the set B1, the basic circumstance time of R2 is added. The presence or absence of traffic conditions is determined from the traffic information service after setting the route. For this reason, this travel time (conditional time) R (w, m, n) varies with time. Further, this travel time (conditional time) R (w, m, n) affects the order of the stores.
[0036]
From the values of the respective arrays thus obtained, the cost C (w, m, n) is the provided price P (w, m, n), transportation cost (means cost) M (w, m, n) and transportation cost (conditions) Cost) It can be obtained as the sum of S (w, m, n). At this time, the combination of the m0th store in the set B1 and the n0th store in the set B2 is the reverse of the combination of the m1 store in the set B1 and the n1th store in the set B2. If there is, for example, the basic situation cost and the basic situation time may be different depending on whether it is uphill or downhill, the cost C (w, m, n) has various values. Similarly, the travel time T (w, m, n) is the sum of the travel time (basic time) B (w, m, n) and the travel time (conditional time) R (w, m, n). It varies depending on the order of visiting dealers.
[0037]
The calculation procedure for each of the above sequences is as seen in FIG. Like normal sequence calculation, the entire sequence is calculated in a loop of w, m, n. In this example, calculation is performed for all arrays for the sake of explanation. However, in order to actually reduce the calculation time, for example, when a cost-priority evaluation criterion is provided, the movement time (basic time) B related to time Calculation of (w, m, n), travel time (conditional time) R (w, m, n) and travel time T (w, m, n) may be omitted. On the other hand, when time priority is used as the evaluation criterion, the provision price P (w, m, n) related to the cost, the transportation cost (means cost) M (w, m, n), the transportation cost (conventional cost) S (w , m, n) and cost C (w, m, n) may be omitted.
[0038]
Thus, for all combinations of dealers, when the calculation of cost and time is completed, the combination that is the optimal consumption behavior is extracted. Since each array cost C (w, m, n) and movement time T (w, m, n) have already been calculated, these arrays are rearranged in ascending or descending order according to the evaluation criteria. Specifically, as shown in FIG. 15, (a) sorting by cost C (w, m, n) and (b) travel time T (w, m, n) according to the evaluation criteria defined in the search conditions. Or (c) Sort by C / P = (cost C (w, m, n) / travel time T (w, m, n)). In any case, the smaller the value, the better the consumption behavior. Since the search condition of this example is cost-first, (a) sort by cost C (w, m, n). Since these calculations take some time, it is preferable to use this calculation time to send special price information or the like from the database management company to the user (consumer a). That is, the calculation time is used for the advertising time of each store.
[0039]
16 and 17 show the display results when it is determined that the combination for purchasing the designated product at the single dealer is optimal, and FIGS. 18 and 19 show the combination for purchasing the designated commodity in sequence at the multiple dealers. FIG. 16 shows the display result when it is determined that the combination of FIG. 16 and FIG. 18 and FIG. 19 is the first rank, and only FIG. 17 shows the second rank for FIG. The search result is answered in the form of presenting a single store or a combination of stores that is the optimal consumption behavior for the consumer a. Since purchases at a single store without movement between stores will be the most cost effective, the search results will typically be purchased at a single store as seen in Figure 16 or 17. Become.
[0040]
After sorting, based on the means of transportation and the number of products, as shown in FIG. 16 and FIG. 17, the top several dealers (or combinations of dealers) are displayed as search results. The number of arrays used for comparison is ((the number of B1 × B2) × the number of orders in the store). In this example, when all are calculated, there are 160 arrays. In other words, since the number of stores corresponding to each designated product (or service) is multiplied by the number of designated products (or services), the number of arrays is very large. In recent years, the performance of computers has been remarkably improved, and comparative calculations and display are not impossible, but too many combinations are not suitable for the system of the present invention that presents optimal consumption behavior. Therefore, the number of top results to be displayed should be limited based on the means of transportation and the number of products. For example, in this example, since the means of transportation is bicycle and there are two items of merchandise, the top three sets (one combination of stores for each array) are displayed. The reason for displaying a plurality of sets is that the user (the consumer a in this example) decides the final convenience.
[0041]
As shown in FIG. 17, the display results are (a) the number of search results and the display number (“Suggestion Store1 / 3”), (b) the store name (“XX super”), ( c) Store address or location ("National Route XX △ Intersection Angle"), (d) Telephone number ("Telephone 086-XXX-XXXX") are arranged, followed by the contents of the result of cost-first evaluation (E) Product offering price and total transportation cost (“Total: XX yen”), (f) Product offering price (“Product: △△△ yen”), (g) Target product name ("(Cucumber, egg)"), (h) transportation costs ("transportation costs: □□ yen"). In this example, the evaluation criteria are cost priority, so all display contents are related to cost.For example, in the case of time priority, instead of the above items, basic time and traffic conditions based on differences in transportation means are used as time. Display the converted circumstance time. In case of circumstances, what is the cause (accident, traffic jam, construction, difficult road, etc.) is displayed. In the case of cost per unit time, all of these should be confirmed.
[0042]
(D) It is convenient if the telephone number can be sent as it is by selecting it on the screen. In addition, (g) it is desirable that the target product names can be individually selected so that individual offer prices can be displayed. Here, typical display items are mentioned, but in addition to this, it is preferable to selectively display advertisements from a store or information useful for consumers as appropriate. As an example, in this example, “(*)” is added next to a store name, and special price information (FIG. 20) can be viewed by selecting the store name. When a consumer selects a dealer, it is easy to depend on such additional information as well as a judgment about the target product. Therefore, such additional information is posted as appropriate for the benefit of both the dealer and the consumer. To do. In this way, special price information and advertisements at each dealership can be viewed at each stage before, during, and after the search, providing more information to consumers, and each dealership. Has increased advertising opportunities.
[0043]
The top combination displayed as a result of the sorting is (e) the rank in terms of the total price of the offer price of goods and transportation costs. For this reason, when viewed individually, for example, there may be a case where (f) the offer price of the commodity is lower than that of a high-order combination store, and (h) the transportation cost may be lower than that of the high order. The quality of such content differences is left to the consumer. The present invention comprehensively determines convenience based on cost, time, and cost per unit time (a combination of C / P, cost, and time). It is itself. For this reason, it is desirable to be able to browse not only the numerical value of the basis that became the evaluation standard, but also other numerical values (time, cost per unit time, etc.) as necessary.
[0044]
As described above, if there are multiple target products or both products and services, there may be multiple stores that can be extracted according to the evaluation criteria (especially for products and services). Combination is highly possible). In that case, since the display result is only the top combination in the sorted order, as shown in FIG. 18 and FIG. 19, combination information of dealers that can display multiple dealers as peers and can be judged to be optimal consumption behavior by consumers. Present. In this case, it should be noted that in the above evaluation judgment, the result differs depending on the movement order even in the combination of the same store. Eventually, the consumer a should browse and judge the result, but in this example, the optimal consumption behavior is assumed when the store moves to the display order.
[0045]
The combination of FIG. 18 and FIG. 19 is an example in which the two ranks of FIG. 16 and FIG. 17 are set as one set (for convenience of explanation). Actually, the store shown in FIG. 16 and another store are likely to be combined (since the order of a single store and the order of combination cannot be the same). For this reason, the screen illustrated in FIG. 18 is the same as the example in FIG. 16, but (a) In the number of search results and the display number, “-1” is added after the display of the page, which is the first combination. ("SuggestionStore1 / 3-1"). Further, in this example, since two products, cucumber and egg, are targeted, the products to be purchased are limited to each of a plurality of combined stores. In this example, the first dealer is cucumber (FIG. 18) and the second dealer is egg (FIG. 19). In addition, although “1. Next” in the example of FIG. 17 is a button for shifting to the next rank, in FIG.
[0046]
The distinctive feature is the display of the dealers in the same rank combination. As shown in Fig. 19, the basic items are already displayed in the first house, so the products that remain in the second dealer are displayed. It is not displayed other than the offered price. The reason why each store is displayed as an independent page is to allow a user to browse special price information for each store as described. The system of the present invention first proposes optimal consumption behavior in consideration of the consumer's profit, but displays advertising effects by displaying a store as a search result. For this reason, in order to better promote each dealer, it is preferable to always display each dealer independently even with a small number of display items.
[0047]
As mentioned above, although normal shopping was mentioned in this example, a system can be similarly constructed in mail order sales. This is because the consumer does not visit the mail order store, but the delivery cost differs depending on the delivery means corresponding to the transportation means, and the ordering time and delivery time related to the delivery means differ. Unlike ordinary shopping, differences between dealers are less likely to appear, but more favorable consumption behavior can be proposed without simply comparing the prices of goods or services. As described above, the present invention has an effect that it is possible to propose more preferable consumer behavior to the consumer by taking into consideration the surrounding situation or environment that has not been considered but is preferably considered. Have.
[0048]
【The invention's effect】
According to the present invention, it is possible to construct a search system that provides consumers with optimal consumption behavior for activities that can be classified as consumption behavior, including not only ordinary shopping but also mail order sales. In recent years, information has overflowed, and information that is too excessive has led to a misunderstanding. As one means of such information analysis, the present invention replaces convenience with numerical values for comparison and judgment, so that the store or the consumer that is the optimal consumer behavior for a specific consumer (individual user of the system of the present invention) or Present a combination of dealers. Eventually, there are individual consumers' preferences, so it is not possible to present a specific store alone, but it helps consumers to make decisions so that they can select more favorable consumption behavior than before. It is. By adopting such a form of providing information, there is an effect that the willingness to consume can be promoted.
[0049]
The system of the present invention has an aspect in which, when providing a service that enhances the convenience for consumers, the advertisements of the dealers are viewed and the advertisements of the dealers are advertised. In particular, the system of the present invention presents the optimal consumption behavior that fluctuates from day to day or from hour to hour, and updates the price of goods or services that serve as the basis of the evaluation standard every day or hour. Real-time advertising effects can be expected instead. Looking at the advertising effectiveness of this dealer, it is possible to reduce paper fees and insert fees, and to reduce advertising expenses by about half.
[0050]
As described above, the system based on the present invention has an advantage that it is possible to search for a store that is more suitable for each individual consumer than to search for a store that presents a mere re-cheap offer price for the consumer. For this, there is an advantage that information with added value such as convenience can be provided in addition to simply presenting the offer price and special price information. The fact that these mutual advantages can be constructed as a practical system largely depends on the Internet that has become popular in recent years and the performance improvement of information devices that have become popular among individuals. In other words, the present invention can be said to construct a system that provides more practical purchasing assistance means than the conventional one by utilizing a combination of the Internet and information equipment capable of delivering and browsing information precisely and quickly. .
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration example using a system of the present invention.
FIG. 2 is a flowchart showing a procedure for using a mobile phone capable of transmitting and receiving information from the Internet.
FIG. 3 is a front view of the mobile phone ID / PASSWORD input screen.
FIG. 4 is a front view of an extracted main menu screen of a mobile phone.
FIG. 5 is a front view of an excerpt of a desired product category selection screen for a mobile phone.
FIG. 6 is a front view of a specific product search screen for desired products on a mobile phone.
FIG. 7 is a front view of an excerpt of a specific product selection screen in a 50-sound search result of a mobile phone.
FIG. 8 is a front view excerpted from a screen for searching for means of transportation of a mobile phone.
FIG. 9 is a front view excerpted from an additional condition input screen for a mobile phone search;
FIG. 10 is a front view of an extracted address search screen for inputting the current location (or destination) of a mobile phone.
FIG. 11 is a front view of a distance limit input screen for the current location (or destination) of a mobile phone.
FIG. 12 is a front view of an extracted mobile phone search condition confirmation screen.
FIG. 13 is a flowchart of a search preparation stage in an algorithm for determining optimum consumption behavior.
FIG. 14 is a flowchart of a comparison calculation value calculation stage in an algorithm for determining optimum consumption behavior.
FIG. 15 is a flowchart of an optimal consumption behavior determination stage in an algorithm for determining optimal consumption behavior.
FIG. 16 is a front view excerpted from the screen of the first ranking of the display results of a single store.
FIG. 17 is a front view excerpted from the screen of the second ranking of the display result of a single store.
FIG. 18 is a front view of an extracted screen of the first ranking display result of a plurality of dealers.
FIG. 19 is a front view of an extracted screen of the second ranking display result of a plurality of stores.
FIG. 20 is a front view of a special price information screen that can be browsed by selecting a store name.
[Explanation of symbols]
1 Internet
2 Mobile phones that can send and receive information
3 dealers
4 advertising production companies
5 Database management company
6 consumers
7 Database

Claims (3)

To provide consumers with optimal consumption behavior that is determined to be the lowest cost per unit time from a combination of cost and time,
Connect specific consumer clients to data management company servers via the Internet,
For the specific consumer, the client inputs the current location or destination, the desired product or service, and the transportation means to the server,
In the server, the price offered at each dealer of goods or services, the transportation cost from the current consumer's current location or destination to each dealer based on transportation, and transportation between multiple dealers based on transportation The total cost is divided by the total travel time from the current consumer's current location or destination based on transportation to each dealer and the travel time between dealers based on transportation. the lowest and to which Ru searches the cyclic order of the dealer or multiple dealers determination,
An optimal consumption behavior search method , characterized by causing a specific consumer to display and browse a circulation order of the store or a plurality of stores output from a server . Transportation costs, the means expenses based on the difference of transportation means used by a particular consumer, Ru total amount der sum of the circumstances costs by converting the traffic conditions based on the specific factors that are assumed for each transportation means to money claims The optimal consumption behavior search method according to Item 1 . Travel time, the basic time based on the difference of transportation means used by a particular consumer, Ru total amount der the sum of the circumstances was converted time traffic conditions based on the specific factors that are assumed for each transportation means in time claim The optimal consumption behavior search method according to Item 1 .

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