JP4127844B1 - Terminal, method and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce a shopping bag when shopping, a shopping bag reduction management system, a shopping bag reduction management device, and a shopping bag reduction management for calculating a privilege point from the number of shopping bags reduced by using a my bag with an IC tag. Methods and programs are provided.
A terminal receives clearing product information and IC tag information, performs customer identification based on the received identification information, and refers to a storage unit that stores various search lists. A list was created, and the number of shopping bags reduced by the customer in the shopping was calculated, and the calculated number of shopping bags reduced could be managed for each customer.
[Selection] Figure 1

Description

The present invention calculates the reward points that are added when a shopper does not use a shopping bag at the time of checkout, and calculates the types and number of shopping bags that could have been reduced from the purchased product at higher speeds with values closer to actual values. It is related with the technique for performing privilege point conversion.

  Speaking of the method of adding reward points when reducing shopping bags by using my bag, etc., the customer delivers the mount distributed by the store at the register stand to the checkout staff at the time of shopping settlement, and stamps or seals the mount. Affixing is done.

Also, when a shopping bag is not required, a specific barcode card is handed over to the cashier. This privilege point addition system gives a bonus point to a cashier when a bar code card provided on a cash register stand is handed over to a cashier at the time of checkout, and it is deemed unnecessary by reading the barcode card with the product. To be done.

  In this manner, point sticker sticking and point granting services are permeating at stores such as supermarkets for each clearing product at the time of shopping. There is also a background that has permeated consumers. Furthermore, the number of shopping bags and privilege point awarding services when using my bags are also spreading. Here, every time a customer service occurs, the customer service information is registered, and the past customer service history is referred to improve the efficiency of the customer service information search during the current service. Specifically, a keyword search is performed. There is provided a mechanism for assigning weight values for each occurrence period of the corresponding case, rearranging in order of weight values, and displaying and updating history data (for example, Patent Document 1).

JP 2000-215204 A

  With the conventional method of granting points by stamping or pasting a sticker on the mount, there is an exchange of the mount between the customer and the cashier at the time of checkout, and the stamp is stamped by the cashier. There was a problem that the residence time at the cash register stand would become longer.

Moreover, the shopping bag distributed at the checkout is based on the subjective estimation of the cashier staff, and there is a problem that unfair privilege points are given when the privilege points are given according to the number of shopping bags.

  For customers, apart from the points based on the shopping amount, not only does it feel complicated to manage shopping bag reduction privilege points with a mount, but there is also an unfairness in the unreasonable point addition method.

For supermarkets and mass merchandisers, the work of the cashier staff has become complicated, and the residence time of the cashier stand has been increased.

As a result, the reduction of the number of shopping bags at the time of shopping, which is the original purpose, does not proceed, and the reduction of the number of shopping bags at the time of shopping is promoted by a short-circuit method of charging shopping bags from the store to the customer.

On the other hand, with the above system, it is possible to reduce the burden on the responder by improving the efficiency of customer information search and referencing the past response history, reducing the response time, and reducing the time and effort of past explanations from customers. Expected to increase customer satisfaction that can be avoided.
However, when the conventional search system is applied to customer management at the time of shopping settlement, there is a lack of concreteness such as linking items necessary for customer information search in conjunction with customer search and making regular purchase forecasts. There was a problem.

Therefore, the present invention has been made to solve the above-mentioned problems, and at the time of checkout settlement, it does not impose a burden on the customer and the cashier staff, and the actual condition from the purchased product is promptly prevented from occurring at the cashier stand. It is an object of the present invention to provide a shopping bag reduction privilege point calculation system that calculates the number of shopping bag reductions close to, and calculates privilege points.

In order to achieve the above object, a terminal according to one aspect of the present invention includes customer information storage means for storing customer identification information for identifying a customer, attribute information indicating the characteristics of the customer, and information on the number of shopping bag reductions in association with each other, Product master storage means for storing product information including items of at least product identification information, product name, product volume value , and information on a plurality of products handled at the store, and a reference for calculating the number of plastic bags the type of plastic bag to be a plastic bag volume storage means for storing in association with the volume value range as a reference for each type of plastic shopping bags, and the customer identification information, at least the purchase date, product name, an item number of purchases Sales information storage means for each customer that stores the purchase history information of the customer in association with each other, store identification information for specifying a store, and sales information including at least items of product name and sales quantity , A store-specific sales information storage means, a customer information storage means, a product master storage means, a customer-specific sales information storage means, and a store-specific sales information storage means. This is a list, and at least the number of popular items by store, the list of favorite products by customer, the purchase forecast product list by customer, the purchase forecast product address list by customer, and the interval days weight with at least the interval period, weight value type and weight value as items. A search list storage means for storing value parameters as a search list and the product master storage means, a list in which addresses, product names, and product volume values are extracted as necessary items of product information is created, and the search list and product volume list storage means for storing in the search list storage means as, recognize the liquidation merchandise that the customer purchases That purchase and product recognition processing means, on the basis of the customer identification information acquisition means for acquiring the customer identification information of the customer having made the above-mentioned purchase, the customer identification information that the acquired, by referring to the customer information storage means, the above-mentioned Referring to the customer identification means for identifying the customer who purchased the product and the customer-specific purchase forecast product address list of the identified customer, the same product record as the recognized clearing product is in the customer-predicted purchase product address list. Product identification means for determining whether or not the product is present, and if it is determined that there is an identical product record as a result of the above determination, the address of the corresponding product record in the customer-specific purchase forecast product address list is referred to, and the address Product volume value acquisition means for acquiring the product volume value of the corresponding product record stored in the product volume list, which is a reference destination, and the acquired product volume value In the case of a number, the total value of the product volume values is calculated. In the case of a single product, the product volume value is taken as the total value. Based on the total value, the plastic bag volume list is referred to and the plastic bag corresponding to the total value A plastic bag number calculating means for determining the type of the plastic bag, an output processing means for outputting a result of the plastic bag number calculating means, and the customer information storage means for calculating the calculated plastic bag reduction number information. Update storage processing means that updates and stores the clearing merchandise information in the customer sales information storage means, and the search list of the search list storage means includes the store sales information. Create a list of popular products for each store that is stored in the search list storage means by referring to the storage means, extracting products with high sales volume at each store, prioritizing and rearranging the list. When the customer-specific sales information storage means is updated and stored, based on the clearing merchandise information, the merchandise record in the existing purchase history information is identified as the clearing merchandise and the product name item. The same product record is extracted, the most recent purchase date is acquired from the purchase date items of the product record, the purchase interval is calculated based on the update storage date and the purchase date, and the calculation is performed. It is determined whether or not the purchase interval corresponds to the specific interval period of the interval days weight value parameter, and a weight value corresponding to the specific interval period is attached to the clearing product determined to be applicable, and the same as the product record If the product record is in the existing customer-preferred product list, the weight value is added to the cumulative weight value in the product record, and the product record is sorted by the cumulative weight value after each product is added. The customer-preferred product list creation / update means for updating the search list storage means as a search list, and the customer-preferred product list based on the customer-preferred product list and the store-selling popular product list; Delete the same product record from the store's best-selling product list, create a list that combines the list of best-selling products by store with the duplicate records deleted after the bottom of the product record in the customer's favorite product list, and use the above as the search list Combining necessary items in the same product in the product volume list with the customer-predicted product list creation / updating means for each customer stored in the search list storage means, and at least the customer ID, product name, and address A customer who creates a purchase forecast commodity address list for each customer having the following items and stores it in the search list storage means And a separate purchase prediction commodity address list creation / update means .

The shopping bag number calculating means may calculate a privilege point for a customer based on the number of shopping bags, and the customer information storage means may store the calculated total benefit point information.

  You may further have a merchandise point provision process means to give each product the privilege point according to the value ranked to the merchandise list based on the above-mentioned favorite merchandise list by customer and the above-mentioned popular merchandise list by store.

A processing method according to one aspect of the present invention includes customer information storage means for storing customer identification information for identifying a customer, attribute information indicating the characteristics of the customer, and information on the number of shopping bag reductions , and a plurality of items handled at the store of an information about the product, at least the product identification information, product name, and product master memory means for storing product information including the item of goods volume value, the type of plastic bag which serves as a reference when calculating the number of plastic bags And a shopping bag volume storage means for associating and storing a reference volume value range for each type of shopping bag, the customer identification information, and the purchase history of the customer including at least items of purchase date, product name, and number of purchases Information relating to customer-specific sales information storage means, store identification information for specifying a store, and sales information including items of at least product name and sales quantity are stored in association with each other. The store-specific sales information storage means, the customer information storage means, the product master storage means, the customer-specific sales information storage means, and the store-specific sales information storage means, and a search list, Search for at least store-selling merchandise list, customer-specific preference product list, customer-specific purchase forecast product list, customer-specific purchase forecast product address list, and interval days, weight value parameter having at least interval period, weight value type, and weight value as items. The search list storage means for storing as a list for use and the product master storage means are referred to, a list in which addresses, product names and product volume values are extracted as necessary items of product information is created, and the search list storage is used as a search list. a method performed and product volume list storage means for storing the unit, by a computer having the above And the process of recognizing the liquidation merchandise that customers purchase, on the basis of the process of acquiring the customer identification information of the customer having made the above-mentioned purchase, the customer identification information that the acquired, by referring to the customer information storage means, the above-mentioned Referring to the process of identifying the customer who purchased the product and the customer-specific purchase forecast product address list of the identified customer, the same product record as the recognized clearing product is in the customer-specific purchase forecast product address list If it is determined that there is the same product record as a result of the above determination and the above determination, the address of the corresponding product record in the customer-specific purchase forecast product address list is referred to and the address is a reference destination The process of acquiring the product volume value of the corresponding product record stored in the product volume list, and calculating the total value of the product volume values when the acquired product volume value is plural, In the case of a single product, the product volume value is the total value, and based on the total value, the plastic bag volume list is referred to, the type of the plastic bag corresponding to the total value is determined, and the number of plastic bags is calculated. And processing for outputting the result of the plastic bag number calculating means, updating the calculated plastic bag reduction number information in the customer information storage means, and updating and storing the clearing merchandise information in the customer-specific sales information storage means And processing for referring to the store-specific sales information storage means, extracting products with large sales quantities in each store, prioritizing and rearranging the list, and storing the list as a search list in the search list storage means And when the customer-specific sales information storage means is updated and stored, based on the clearing merchandise information, the merchandise record in the existing purchase history information is identified with the clearing merchandise and the product name item. The same product record is extracted, the most recent purchase date is acquired from the purchase date items of the product record, the purchase interval is calculated based on the update storage date and the purchase date, and the calculation is performed. It is determined whether the purchased interval corresponds to the specific interval period of the interval days weight value parameter, a weight value corresponding to the specific interval period is attached to the clearing product determined to be applicable, and the product record If the same product record is in the existing customer-preferred product list, add the weight value to the cumulative weight value in the product record, and sort the product records based on the cumulative weight value after adding each product. Based on the processing for updating and storing in the search list storage means as a search list, the customer-preferred product list, and the store-sold product list, Delete one product record from the store's best-selling product list, create a list that combines the deleted-records' best-selling product list with the duplicate records deleted from the bottom of the product record in the customer's favorite product list, and use the above as the search list The processing stored in the search list storage means and the necessary items in the same product of the product volume list are combined with the purchase forecast product list by customer, and the purchase forecast by customer having at least items of customer ID, product name, and address And a process of creating a merchandise address list and storing it in the search list storage means .

A computer program according to one aspect of the present invention includes customer information storage means for storing customer identification information for identifying a customer, attribute information representing the characteristics of the customer, and information on the number of shopping bag reductions , and a plurality of information handled at a store of an information about the product, at least the product identification information, product name, and product master memory means for storing product information including the item of goods volume value, the type of plastic bag which serves as a reference when calculating the number of plastic bags And a shopping bag volume storage means for associating and storing a reference volume value range for each type of shopping bag, the customer identification information, and the purchase history of the customer including at least items of purchase date, product name, and number of purchases Sales information storage means by customer for storing information in association with each other, store identification information for specifying a store, and sales information including at least items of product name and sales quantity, Store-specific sales information storage means for storing in association, the customer information storage means, the product master storage means, the customer-specific sales information storage means, and the store-specific sales information storage means created for reference It is a list, and at least the number of selling items by store, the preference product list by customer, the purchase forecast product list by customer, the purchase forecast product address list by customer, and the interval days weight value having at least the interval period, the weight value type, and the weight value as items. The search list storage means for storing the parameters as a search list and the product master storage means described above, a list in which addresses, product names, and product volume values are extracted as necessary items of product information is created as a search list for causing a computer having, and product volume list storage means for storing to the search list storing means A computer program, with respect to the computer, even the process of recognizing the liquidation merchandise that the customer purchases, and the process of acquiring the customer identification information of the customer having made the above-mentioned purchase, the customer identification information that the acquired In addition, referring to the customer information storage means, identifying the customer who purchased the product, referring to the customer-specific purchase forecast product address list of the identified customer, and the same product as the recognized clearing product The process of determining whether or not the record is in the customer-specific purchase forecast product address list, and if it is determined that the same product record exists as a result of the determination, the product record in the customer-specific purchase forecast product address list Processing for obtaining the product volume value of the corresponding product record stored in the product volume list that is the reference destination of the address, When the acquired product volume value is plural, the total value of the product volume values is calculated, and when the product volume value is singular, the product volume value is set as the total value, and the above-mentioned shopping bag volume list is referred to based on the total value. A process of determining the type of plastic bag corresponding to the total value and calculating the number of plastic bags, a process of outputting the result of the plastic bag number calculating means, and the calculated plastic bag reduction number information in the customer information storage Processing to update and store the clearing merchandise information in the sales information storage means for each customer, and refer to the sales information storage means for each store, and extract and prioritize products with a large sales volume at each store In the case where the rearranged list is created and stored in the search list storage means as a search list and the customer-specific sales information storage means is updated and stored, the existing purchase is made based on the clearing product information. History The same product name item is discriminated from the product record in the report, the same product record is extracted, the most recent purchase date among the purchase date items of the product record is obtained, and the update storage date and The purchase interval is calculated based on the date of the purchase date, and it is determined whether the calculated purchase interval falls within the specific interval period of the interval days weight value parameter. On the other hand, when a weight value corresponding to the specific interval period is attached and the same product record as the product record is in the existing customer-preferred product list, the weight value is added to the cumulative weight value in the product record, A process of updating the list by rearranging the product records based on the cumulative weight value after addition of each product, and updating and storing it in the search list storage means as a search list; Based on the hot selling product list by store, the same product record as the preferred product list by customer is deleted from the hot selling product list by store, and after the bottom of the product record in the preferred product list by customer, the duplicate record is deleted by store Create a list that combines the hot selling product list, store the search list storage means as a search list, and combine the necessary items in the same product of the product volume list to the customer-specific purchase forecast product list, A process for creating a customer-specific purchase prediction product address list having at least a customer ID, a product name, and an address and storing the list in a search list storage unit .

  According to the present invention, it is possible to reduce the staying time per customer and the load on the cashier staff at the time of checkout, and the privilege point grant criteria are clarified. It is easy to collect and manage information.

Hereinafter, an embodiment according to the present invention will be described with reference to the drawings.
FIG. 1 is a schematic diagram showing an overall configuration of a system using a reduced plastic bag number calculating apparatus according to the present invention.
In FIG. 1, the present invention includes a bag 1 with an IC tag, an RFID reader 2 that reads IC tag information, a terminal 3 that manages clearing merchandise information, and a store server 4, which are mutually connected. It is configured to be able to communicate.

  Bag 1 with an IC tag is a bag with an IC tag having an identification IC code that is a unique identifier. As shown in the functional block diagram of FIG. 2, the IC tag includes a coiled antenna that transmits information to and from an IC code information storage unit 11 that stores an identification ID, an IC tag control unit 12, and an external RFID reader. 13.

The IC code information storage unit 11 is a storage unit that can store an IC code that is a unique identifier. The stored IC code is referred to when information is transmitted to the outside.

  The IC tag control unit 12 is a control unit that performs communication control with the coiled antenna 13 in the IC tag when information stored in the IC code information storage unit 11 is transmitted to the outside.

  The coiled antenna 13 is used when information stored in the IC code information storage unit 11 in the IC tag is transmitted to the outside. Further, it is controlled by the IC tag control unit 12.

The RFID reader 2 transmits radio waves toward the IC tag. Further, when the tag number transmission from the IC tag is received, the tag number is transmitted to the terminal 3.

The terminal 3 is a computer that manages the clearing merchandise information and calculates the IC tag information and the number of reduced plastic bags. The terminal 3 is connected to an external storage device such as a CPU (Central Processing Unit), a computer program executed by the CPU, a RAM (Random Access Memory) that stores computer programs and predetermined data, a ROM (Read Only Memory), and a hard disk drive. The functional blocks shown in FIG. 3 can be configured.
Here, the functional blocks shown in FIG. 3 include a customer identification processing unit 301, a customer-specific preference product list creation processing unit 302, a store-by-store popular product list creation processing unit 303, a product volume list creation processing unit 304, and a customer-specific purchase forecast product. List creation processing unit 305, customer-specific purchase predicted product address list creation processing unit 306, update processing unit 307, output processing unit 308, temporary area 309, customer information storage unit 321, customer-specific sales information storage unit 322, product information storage unit 323, a store-by-store sales information storage unit 324, a search list storage unit 325, a plastic bag volume storage unit 326, a reduced plastic bag number and privilege point storage unit 327.

The customer identification processing unit 301 is a processing unit that identifies a customer based on the IC tag information acquired from the RFID reader 2.
The customer identification processing unit 301 refers to the customer information stored in the customer information storage unit 321 and executes identification of the customer based on the acquired IC tag information. As used herein, customer information refers to customer-specific information having at least a customer name, IC code, customer ID, address, gender, age, cumulative number of reduced shopping bags, and cumulative privilege points. The customer ID refers to an identifier unique to the customer, and may be a combination of numbers and characters, for example.

The customer-preferred product list creation processing unit 302 refers to the purchase history data 20 in the customer-specific sales information storage unit based on the identified customer information, ranks products with a high purchase frequency, and executes listing. Is a processing unit. This created list is called a customer-specific preference product list 30. The customer-specific preference product list 30 is a list having at least a customer ID, a product name, and a weight value as item names, as shown in FIG. Further, the purchase history data 20 here refers to a customer-specific purchase history list having at least a customer ID, a purchase history number, a purchase date, a product name, and the number of purchases, as shown in FIG. The purchase history number is obtained by mechanically assigning the product names and the like together.

A store-by-store selling product list creation processing unit 303 is a processing unit that manages sales product information for each specific store, ranks them in descending order of the number of sales, and executes listing. This created list is referred to as a store-by-store best-selling product list 40. Also, the store-by-store sales merchandise list creation processing unit 303 first refers to the store-by-store sales information storage unit 324, reads the sales information of a specific store, processes the clearing product information, and ranks according to the number of sales. It is executed, and the store-by-store best-selling product list 40 is made the latest information, and the store-by-store best-selling product list storage unit 324 is updated and stored. Here, as shown in FIG. 13, the best-selling product list 40 for each store is a list managed for each store having at least the store name, sales rank, product name, and number of sales as item names.

The product volume list creation processing unit 304 is a processing unit that lists information in which the product name of the product information is associated with the volume value of the product. The product volume list processing unit 304 refers to the product information storage unit 323, extracts only the list necessary items from the item names of the product master, and executes listing. The product master referred to here is a general product master having information on so-called products having at least a product name, an address, a product volume value, a product cost, a supplier, and a place of production. The address is one of the product information item names stored in the product information storage unit 323, and is information that can directly detect the product name without searching the product information in the product information storage unit 323 based on the address. Say. The list required item is information having at least a product name and a product volume value. The created list is referred to as a product volume list 50. The product volume list 50 here is a list having at least an address, a product name, and a product volume value as item names, as shown in FIG.

The customer-specific purchase forecast product list creation processing unit 305 is a processing unit that combines the customer-preferred product list 30 and the store-selling best-selling product list 40, ranks the products, and creates a list. This created list is called a customer-specific purchase forecast commodity list 60. The customer-specific purchase forecast product list 60 is a list having at least a customer ID, a product name, and points as item names, as shown in FIG.

The customer-specific purchase predicted product address list creation processing unit 306 is a processing unit that combines the product volume list 50 and the customer-specific purchase predicted product list 30 and executes listing. The created list is called a customer-specific purchase forecast product address list 70. This customer-specific purchase forecast product address list 70 is a list having at least a customer ID, a product name, and an address as item names, as shown in FIG.

The shopping bag reduction number and privilege point calculation processing unit 307 calculates the total volume value of the clearing products based on the customer-specific purchase prediction product address list 70, and the plastic bag size and number corresponding to the plastic bag type parameter 80. Is a processing unit for calculating. The plastic bag type parameter 80 here is a parameter having, as shown in FIG. 17, at least a volume value range and a plastic bag size in the item name. Further, the calculation result means information having at least the number of shopping bag reduction, the type of shopping bag reduced, and privilege points.
Further, the shopping bag reduction number and privilege point calculation processing unit 307 stores the calculation result in the shopping bag reduction number and privilege point storage unit 327, and stores it in the customer-specific information storage unit 321 and the customer-specific sales information storage unit 322. Update memorize.

The output processing unit 308 is a processing unit that outputs the calculated number of reduced shopping bags and privilege points. The output processing unit 308 may output the reduced number of shopping bags and the total number of reduced shopping bags corresponding to the current product settlement.

The temporary area 309 is a temporary storage unit that is used in the processing in each processing unit described above, temporarily stores processing information, is referred to at each processing, and updates and stores the processing information. The primary area 309 may be a so-called buffer. Here, the processing information refers to, for example, information stored in each storage unit and list information in the middle of creation.

The customer information storage unit 321 is a storage unit that stores information about customers. The customer information storage unit 321 can store, for example, a customer name, a customer identification ID, a membership number, an address, a gender, a cumulative reduction plastic bag number, and cumulative privilege points.

The customer-specific sales information storage unit 322 is a storage unit that stores the purchase history data 20 for each customer. For example, as shown in FIG. 11, the customer-specific sales information storage unit 322 can store a customer identification ID, a purchase history number, a purchase date, a product name, and the number of purchases. In addition, information such as the cumulative reduction plastic bag number, cumulative privilege points, and the like may be stored.

  The product information storage unit 323 is a storage unit that stores a product master, which is information about products.

  The store sales information storage unit 324 is a storage unit that records the number of product sales by store. The store sales information storage unit 324 can store, for example, a store name, store identification ID, product name, and sales quantity.

The search list storage unit 325 is a storage unit that stores a list created in each processing unit.
For example, the customer-preferred product list 30 having at least a customer identification ID, a product name, and a weight value item name can be stored. In addition, it is possible to store a store-by-store selling product list 40 having at least a store identification ID, a store name sales order, a product name, and a sales quantity as item names. Further, it is possible to store a product volume list 50 having at least a product-specific address, a product name, and a volume value as item names. Further, it is possible to store a customer-specific purchase forecast product list 60 having at least a customer identification ID, a product name, and a cumulative weight value as item names. Further, it is possible to store a customer-specific purchase forecast product address list 70 having at least a customer identification ID, a product name, and a product address as item names.
In addition, as shown in FIG. 18, the search list search storage unit 325 can store an isolation day weight value parameter 90 having a period, a weight value, and a weight value category as items.

The plastic bag volume storage unit 326 is a storage unit that stores information on the size and volume of the plastic bag. In the plastic bag volume storage unit 326, for example, as shown in FIG. 17, a plastic bag type parameter 80 having a volume value width and a plastic bag size as item names can be stored.

The number of shopping bag reduction and privilege point storage unit 327 is a storage unit that stores the number of shopping bags reduced for each customer and privilege points. Further, the number of shopping bag reduction and privilege point storage unit 327 may store the total number of reduction shopping bag numbers and the total number of privilege points.

Next, the flow of processing in the system according to the present embodiment will be described with reference to FIG.
First, customer information is stored in advance in the customer information storage unit 321, and a plastic bag type parameter 80 having a volume value and a plastic bag size is stored in the plastic bag volume storage unit 326.
In the present embodiment, the processing is executed after the terminal receives both the information on the clearing merchandise information and the IC tag information.

First, when the terminal 3 receives IC tag information from the RFID reader 2 as an input unit (S401), the customer identification processing unit 301 refers to the customer information in the customer information storage unit 321 (S402) and identifies the customer. The processing and the presence / absence of customer information are determined (S403).

If it is determined as a result of the determination S403 that there is customer information, the customer-specific sales information storage unit 321 is referred to based on the specified customer information (S404), and whether there is purchase history data 20 for the customer. Is discriminated (S405).
If it is determined in step S403 that there is no customer information, a shopping bag reduction number calculation process (S411) is executed. For example, when a new customer makes a purchase, the purchase history data 20 does not exist. In this case, the process of calculating the number of reduced plastic bags is performed using only the current clearing product information.

  If it is determined that there is the purchase history data 20 as a result of the determination S405, a customer-specific preference product list creation process (S406) is executed. The customer-specific preference product list creation process S406 will be described with reference to FIG.

As a result of the determination S405, when it is determined that the purchase history data 20 is not present, or after the customer-preferred product list creation process S406, the store-by-store hot-sale product list creation processing unit 303 performs store-by-store hot-sale product list creation processing. (S407) is executed. The store-by-store sales item list creation process S407 will be described with reference to FIG.

As a result of the store-by-store selling product list creation processing S407, the customer-by-customer purchase forecast product list creation processing unit 305 makes a customer-by-customer purchase forecast product list based on the created customer-by-store preference product list 30 and store-by-store selling product list 40. A creation process is executed (S408). The customer-specific purchase forecast commodity list creation processing S408 will be described in detail with reference to FIG.

Based on the created customer-specific purchase prediction product list 60, the customer-specific purchase prediction product address list creation processing unit 306 adds a customer-specific purchase prediction product address list 60 to which an address is added. Is created (S409).
The privilege points may be calculated according to the size of the shopping bag, such as LL size 2 points, L size 1 point, M size 0.5 points, etc., depending on the size of the shopping bag. Alternatively, it may be given in accordance with the number of shopping bags simply reduced or the amount of CO ² emission reduced.
Details of the customer-specific purchase predicted product address list creation process S409 will be described with reference to FIG.

After the above-described purchase prediction product address list creation process for each customer or after it is determined that there is no customer data as a result of the determination S403, the number of shopping bag reduction and the privilege point calculation processing unit 307 determines the number of shopping bag reduction and the privilege. A point calculation update process is performed (S410). Details will be described with reference to the processing flowchart shown in FIG.

Finally, output processing is performed by the output processing unit 308 from the result of the above-mentioned shopping bag reduction sheet count calculation processing S410 (S411). Here, the output unit 308 may be, for example, a receipt, a member IC card, or a mobile phone IC. Further, it may be output to a database so that the reduced number can be confirmed via the Internet.

Each process described above with reference to FIG. 4 will be described below with reference to a detailed process flowchart.

The customer-specific preference product list creation process S406 will be described with reference to FIG.
In the customer-specific preference product list creation process S406, the terminal 3 first reads the purchase history product data 20 with reference to the customer-specific sales information storage unit 322 (S701), and searches for history records (S702). Here, the record is a part of information in the list. For example, in the purchase history data 20 shown in FIG. 11, the customer ID, purchase history number, purchase date, product name, and number of purchases are one product name. One piece of information linked to each is called a record, and a collection of records becomes a list. In each of the following processes, it is used for description in the same meaning as a record.

Purchase date information for each product is extracted and acquired from the history record (S703). From the latest purchase date of each product and the date information of today's date, the number of days of isolation between them is calculated (S704).
For example, the number of days of quarantine is calculated by subtracting the purchase date from today's date of shopping for each product.

Next, it is determined whether or not the calculated isolation days are within each period of the isolation days weight value parameter 90 (S705). The isolation day weight value parameter 90 is a parameter having, as shown in FIG. 18, a weight value category and a day period in the item name.
As a result of the determination S705, when it is determined that the calculated isolation days are within each period of the isolation days weight value parameter 90, a weight value for each product is acquired (S706).
For example, if there is a product with an isolation period between 0 and 60 days, it is determined that there is a recent directivity of the customer, and a weight value of “4” is acquired. Also, if there is a product between 320 days and 400 days in isolation, it is determined that it is a customer's seasonal preference product for about 40 days before and after one year ago, and a weight value of “2” is set. get.
As a result of the determination in the determination S705, when it is determined that the calculated quarantine days are not within the respective periods of the quarantine day weight knowledge parameter 90, a process of determining whether or not there is a next history record in the purchase history data 20 (S710). I do.

After the weight value is acquired, it is determined whether the same product as the product for which the current weight value is obtained is stored in the temporary area 309 (S707).
If it is determined that there is the same product as a result of the determination S708, the weight value obtained in the current shopping is added to the existing weight value stored in the temporary area 309, and the temporary area 309 is updated and stored (S708). ).
If it is determined that there is no same product as a result of the determination S707, the product is stored in the temporary area 309 as the customer-preferred product list 30 in which the product name and the weight value are newly associated with each other (S710). .

After the update storage in the temporary area 309, the next history record of the purchase history data 20 is determined (S711).
As a result of the determination S710, if it is determined that there is a next history record, the process from the purchase date acquisition process S703 for the next product to the determination process is repeated (S703 to S710).
As a result of the determination S710, when it is determined that there is no next history record, the temporary area 309 is referred to (S711), and the customer-specific preference product list 30 is rearranged in the order of weight values (S712).

  The rearranged customer-specific preference product list 30 is updated and stored in the search list storage unit (S713).

The store-by-store hot sale product list creation process S407 will be described with reference to FIG.
In the store-by-store selling item list creation process S407, the terminal 3 first searches for selling item data in the store-by-store sales information storage unit 324 (S801). After acquiring the best selling record (S802), at least the list necessary items of the store name, product name, and sales quantity are extracted and acquired from the best selling data record (S803).

The acquired selling record is stored in the temporary area 309 (S804). At this time, it is determined whether there is another selling record in the temporary area 309 (S805).
As a result of the determination S805, when it is determined that there is no best selling record in the temporary area 309, the best selling record is stored at the bottom of the temporary area 309 (S809). For example, the first record that is the first clearing product is inevitably stored at the bottom of the temporary area 309.
On the other hand, as a result of the determination S805, if it is determined that the best selling record is in the temporary area 309, the comparison of the sales quantity as the reference value is performed for sorting (S806).

As a result of the determination S806, if it is determined that the number of sales of the best selling record is smaller than the number of sales of the current best selling record already existing in the temporary area 309, the process returns to the search process (S804) of the next best selling record in the primary area. Here, the determination process is repeated until there are no best selling records in the primary area (S804 to S807).
On the other hand, as a result of the determination S806, if it is determined that the number of the best selling records is larger than the number of sales of the current best selling records already existing in the temporary area 309, the best selling record is created above the current best selling records in the primary area. (S808).

Next, it is determined whether or not a next-selling record exists in the selling-sale data (S810).
As a result of the determination S810, if it is determined that there is a next-selling record, the list necessary item of the next-selling record is acquired (S803). Note that the discrimination process in the temporary area 309 is repeated, and the process is repeated until there are no best selling records (S803 to S810).
On the other hand, if it is determined in step S810 that there is no next-selling record, the primary area is referred to (S811).

Here, in the primary area, the best selling record information for which the above processing has been completed is stored as the best selling merchandise list 40 for each store that has already been ranked for each sales quantity. Also, the store-by-store hot selling product list 40 in the primary area is updated and stored in the search storage unit (S812).

The product volume list creation process will be described with reference to FIG.
In the product volume list creation process, the terminal 3 first refers to the product master of the product information storage unit 323 (S501). Items necessary for creating the product volume list 50 are extracted from the product master information (S502) and stored in the temporary area 309 as product records (S503). The product volume list 50 here is a product list in which only necessary information is extracted from the product master having at least an address, a product name, and a product volume value as item names, as shown in FIG.

With the processing S503, the item name extraction processing for a certain product record is completed, and it is determined whether or not the next product record exists in the product master of the product information storage unit 323 (S504).
If it is determined in the determination S504 that there is a next product record, the process for the next product record is repeated and repeated until there are no product records in the product master (S501 to S504).

On the other hand, if it is determined in step S504 that there is no next product record, the product volume list 50 is created in the temporary area 309 (S505). Specifically, as a result of the determination process S504, it is determined that there is no next product record because acquisition of the list necessary items for all product records in the product master has been completed. In 309, the product volume list 50 as shown in FIG. 14 is completed.

Next, the product volume list 50 stored in the temporary area 309 is stored in the search list storage unit 325 (S506). For example, when the existing product volume list 50 exists in the search list storage unit 325, it goes without saying that update storage is performed and the product list 40 of the search list 325 is maintained in the latest state.

The customer-specific purchase forecast product list creation processing S408 will be described with reference to FIG.
In the customer-specific purchase predicted product list creation processing S408, first, the customer-specific preference product list 30 in the search list storage unit 325 is referred to (S901), and the product record search of the customer-specific preference product list 30 is performed. As a result of the search, a product record is acquired from the customer-specific preference product list 30 (S902).

Similarly, the store-by-store selling product list 40 in the search list storage unit 325 is referred to (S903), and it is determined whether there is a product record in the store-by-store selling product list 40 (S904).
As a result of the determination S904, when it is determined that there is a product record in the hot selling product list 40 by store, it is determined whether the product record is the same as the product record acquired from the customer-preferred product list 30 ( S905).
As a result of the determination S904, if it is determined that there is no product record in the hot selling product list 40 by store, the next product record search of the customer favorite product list 30 is performed (S908).

As a result of the determination in step S905, if it is determined that the product records in both the product list 40 of the store-based best seller product list 40 and the customer-specific favorite product list 30 are not the same, the next product record search in the store-based best seller product list 40 is performed again. (S906).
This processing is repeated until it is determined that there is no product record in the store-sold popular product list 40 or until it is determined that the product records in the customer-preferred product list 30 and the store-sold product list 40 are the same. (S903 to S906).

As a result of the determination S905, if it is determined that the product records in both the product list 40 of the store-based best seller product list 40 and the customer-specific favorite product list 30 are the same, the store-based best-selling product list 40 in the temporary area 309 is displayed. Then, the product record of the product record is deleted (S907).
Thereafter, it is determined whether or not there is a next product record in the customer-preferred product list 30 (S908).

As a result of the determination S908, when it is determined that there is a next record in the customer-specific preference product list 30, the above processing flow is repeated, and the processing continues until there are no product records in the customer-specific preference product list 30 (S902 to S908). ).
When it is determined as a result of the determination S908 that there is no next product record in the customer-specific preference product list 30, the temporary area 309 is referred to (S909). At this time, in the temporary area 309, a customer-specific preference product list 30 and a store-by-store best-selling product list 40 that has been subjected to deletion processing of some product records are stored.

Here, with reference to the temporary area 309, the customer-preferred preference product list 30 and the store-by-store sales list 30 are combined to create a customer-specific purchase forecast product list 60 (S910). The created list is stored in the temporary area 309 (S911).
More specifically, as a result of the above processing, the duplicate product record in the hot selling product list 40 by store is deleted based on the customer favorite product list 30, and the processed product is displayed at the bottom of the customer favorite product list 30 after the above processing. The store-selling popular merchandise list 40 is combined. As a result, the customer-specific purchase forecast commodity list 60 reflecting the purchase frequency for each customer is created.

The customer-specific purchase predicted product address list creation process S409 will be described with reference to FIG.
In the customer-specific purchase predicted product address list creation process S409, first, the customer-specific purchase predicted product list 60 stored in the temporary area 309 is referred to (S1001), and a product record is acquired (S1002). Further, the product volume list 50 in the search list storage unit 325 is referred to (S1003), and the presence / absence of a product volume record is determined (S1004).

As a result of the determination S1004, when it is determined that there is no product volume record in the product volume list 50, the next product record search of the customer-specific purchase forecast product list 60 is performed (S1009).
On the other hand, as a result of the determination S1004, if it is determined that there is a product volume record in the product volume list 50, it is determined whether the product in the product volume record is the same as the product in the customer-specific purchase forecast product list 60 (S1005). ).

If it is determined in the determination S1005 that the products are not identical, the next product volume record in the product volume list 50 is searched (S1006).
On the other hand, if it is determined in the determination S1005 that the products are the same, the address of the product volume record is added to the record of the product in the customer-specific purchase forecast product list 60 (S1007). Further, it is stored in the temporary area 309 as the customer-specific purchase forecast product address list 70 (S1008).

Here, the address assignment processing for one product in the customer-specific purchase forecast product list 60 is completed, and next, whether there is a next product record in the customer purchase forecast product list 60 in the temporary area 309 or not. A determination is made (S1009).

If it is determined that there is a next product record as a result of the determination S1009, the determination processing with the product volume list 50 shown in the processing flow is repeated, and the products in the customer-specific purchase forecast product list 60 in the temporary area 309 are displayed. The process is executed until there are no more records (S1002 to S1009).
On the other hand, as a result of the determination S1009, if it is determined that there is no next product record in the customer-specific purchase forecast product list 60 in the temporary area 309, all products in the customer-specific purchase forecast product list 60 in the temporary area 309 are displayed. Thus, the customer-specific purchase predicted product address list 70 is completed in the temporary area 309.
Further, the customer-specific purchase forecast commodity address list 70 in the primary area 309 is referred to (S1010) and stored in the search list storage unit 325 (S1011).

The shopping bag reduction number and privilege point calculation update processing S410 will be described with reference to FIG.
In the shopping bag reduction number and privilege point calculation update processing S410, the terminal 3 first refers to the temporary area 309 based on the clearing merchandise information acquired from the input unit 330 (S601), and identifies each customer in the search list storage unit 325. The purchase prediction product address list 70 is referred to (S602), and it is determined whether the same product as the clearing product is in the customer-specific purchase prediction product address list 70 (S603).

As a result of the determination S603, when it is determined that there is the same product as the clearing product in the customer-specific purchase predicted product address list 70, an address is acquired from the product record in the customer-specific purchase predicted product address list 70 (S604), The product in the product volume list 50 is directly read from the address, and the product volume value is acquired (S605).
On the other hand, as a result of the determination S603, if it is determined that there is no same product as the clearing product in the customer-specific purchase forecast product address list 70, the product volume list 50 in the search list storage unit 325 is referred to (S606). The product volume of the product is searched (S607), and the product volume value is acquired (S605).

The acquired product volume value is stored in the temporary area 309. At that time, the first product naturally stores the product volume value as it is in the temporary area 309, but the product volume value is added to the product volume value in the temporary area 309 and stored for the second and subsequent products. (S608).

Here, it is determined whether or not there is next clearing merchandise information (S609).
If there is next clearing product information as a result of the determination S609, the above volume addition processing is repeated until there is no clearing product information (S601 to S608).
On the other hand, if it is determined in step S609 that there is no clearing product information, the total volume value in the temporary area 309 is referred to (S610), and the plastic bag type parameter 80 in the plastic bag volume storage unit 326 is referred to. (S611), the total volume value stored in the temporary area 309 is applied to the plastic bag type parameter 80, and the plastic bag conversion process is performed (S612). The plastic bag size conversion parameter referred to here is a parameter having at least a volume value and a plastic bag size in the item name with reference to the diagram shown in FIG.

As a result of the conversion process S612, the number of shopping bags reduced in the shopping is calculated. The reduced number is stored in the shopping bag reduced number and privilege point storage unit 327 (S613). At that time, if there is an existing reduction number in the plastic bag reduction number storage unit 327, it goes without saying that the addition processing may be performed and stored as a cumulative number.

Further, the calculated reduction number is not only stored in the shopping bag reduction number storage unit 327 but also updated and stored in the customer-specific information storage 321 and the customer-specific sales information storage unit 322 (S614 to S615).

As described above, according to the above-described embodiment, it is possible to manage the number of shopping bag reductions of the customer only by the processing of the terminal 3 without taking the register staying time due to the stamping and the like at the register. In addition, the processing speed can be improved by executing the processing in the POS register.

The above-described embodiment is an example, and in addition to the above-described IC tag, an IC member card or an IC mobile phone terminal may be used. In addition to the above-described RFID reader, biometric authentication or biometric authentication may be used.

  The above-described embodiment is an example, and can be appropriately changed without departing from the present invention.

1 is a diagram illustrating an overall configuration of a system according to an embodiment of the present invention. It is an IC tag functional block diagram. It is a functional block diagram concerning this embodiment. It is a whole processing flow figure of the present invention. It is the processing flow which showed the detailed process of merchandise volume list creation. It is the processing flow which showed the detailed process of cash register reduction number calculation and privilege point calculation update. It is the processing flow which showed the detailed process of preference item list preparation classified by customer. It is the processing flow which showed the detailed process of a hot selling goods list preparation according to a store. It is the processing flow which showed the detailed process of the purchase forecast goods list preparation classified by customer. It is the processing flow figure which showed the detailed process of preparation of a purchase forecast commodity address list classified by customer. It is the figure which showed an example of purchase history merchandise data. It is the figure which showed an example of the preference goods list classified by customer. It is the figure which showed an example of the hot selling goods list according to a store. It is the figure which showed an example of the goods volume list. It is the figure which showed an example of the purchase forecast goods list classified by customer. It is the figure which showed an example of the purchase forecast goods address list classified by customer. It is the figure which showed the plastic bag kind parameter. It is the figure which showed the isolation day weight value parameter.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Bag with IC tag, 2 ... RFID reader, 3 ... Terminal, 4 ... Store server, 10 ... IC tag, 300 ... Arithmetic processing part, 301 ... Customer specification Processing unit, 302 ... Customized preference product list creation processing unit, 303 ... Selling product list creation processing unit by store, 304 ... Product volume list creation processing unit, 305 ... Purchase forecast product list by customer Creation processing unit, 306... Customer-specific purchase forecast product address list creation processing unit, 307... Plastic bag reduction number and privilege point calculation processing unit, 308... Output processing unit, 309. ... storage unit, 321 ... customer information storage unit, 322 ... customer sales information storage unit, 323 ... merchandise information storage unit, 324 ... store sales information storage unit, 325 ... Search list storage, 26 ... shopping bag volume storage unit, 327 ... shopping bag reduction number and privilege point storage unit, 330 ... input section, 340 ... Output section

Claims (5)

Customer information storage means for storing customer identification information for identifying a customer, attribute information representing the characteristics of the customer, and information on the number of shopping bag reductions;
Product master storage means for storing product information that is information about a plurality of products handled in the store and includes at least items of product identification information, product name, and product volume value ;
A plastic bag volume storage means for storing a reference plastic bag type when calculating the number of plastic bags and a reference volume value range for each plastic bag type ;
Sales information storage means for each customer for storing the customer identification information in association with at least the purchase date, the product name, and the purchase history information of the customer including the number of purchases;
Store-specific sales information storage means for storing store identification information for specifying a store and sales information including at least a product name and a sales quantity item,
A search list created by referring to the customer information storage means, the product master storage means, the customer-specific sales information storage means, and the store-specific sales information storage means. Search list storage means for storing, as a search list, a preference product list, a customer-specific purchase prediction product list, a customer-specific purchase prediction product address list, at least an interval period, a weight value type and a weight value parameter having items as items. When,
A product volume list creation storage means for referring to the product master storage means, creating a list in which addresses, product names, product volume values are extracted as necessary items of product information, and storing them in the search list storage means as a search list; ,
Purchased product recognition processing means for recognizing a clearing product purchased by the customer,
Customer identification information acquisition means for acquiring customer identification information of the customer who made the product purchase;
On the basis of the customer identification information that the acquired, by referring to the customer information storage means, and customer specific means for performing a particular customer who purchased the above-mentioned items,
Referring to the customer-specific purchase forecast product address list of the identified customer, product identity determination means for determining whether the same product record as the recognized clearing product is in the customer-specific purchase forecast product address list;
As a result of the determination, when it is determined that the same product record exists, the address of the corresponding product record in the customer predicted purchase product address list is referred to, and the corresponding stored in the product volume list that is the reference destination of the address Product volume value acquisition means for acquiring the product volume value of the product record;
When the acquired product volume value is plural, the total value of the product volume values is calculated, and when the product volume value is singular, the product volume value is set as the total value, and the plastic bag volume list is referred to based on the total value. A plastic bag number calculating means for determining the type of plastic bag corresponding to the total value and calculating the number of plastic bags;
Output processing means for outputting the result of the shopping bag number calculating means;
Update storage processing means for updating and storing the calculated shopping bag reduction number information in the customer information storage means, and updating and storing the clearing merchandise information in the customer sales information storage means;
A terminal having
The search list of the search list storage means is:
Refer to the above-mentioned sales information storage unit by store, extract a product with a large sales volume at each store, create a prioritized and rearranged list, and store it in the search list storage unit as a search list, and store the best-selling product list by store Creating means;
When the customer-specific sales information storage means is updated and stored, based on the clearing merchandise information, the merchandise record in the existing purchase history information is determined to be the same as the clearing merchandise and the product name item. The record is extracted, the most recent purchase date among the purchase date items of the product record is obtained, the purchase interval is calculated based on the update storage date and the purchase date, and the calculated purchase interval is It is determined whether or not it corresponds to a specific interval period of the interval days weight value parameter, a weight value corresponding to the specific interval period is assigned to the clearing product determined to be applicable, and the same product record as the product record If it is in the existing customer preference product list, the weight value is added to the cumulative weight value in the product record, and the list is updated by sorting the product records based on the cumulative weight value after addition of each product. And, a customer-specific preferences Product List creating and updating means for updating stored in the search list storage means as a search for the list,
Based on the customer-preferred product list and the store-sold best seller product list, the same product record as the customer-preferred product list is deleted from the store-sold favorite product list, and after the bottom of the product record of the customer-preferred product list, Creating a list that combines the store-sold merchandise list for which the duplicate records have been deleted, and storing it as a search list in the search list storage means by customer;
The necessary items in the same product in the product volume list are combined with the purchase forecast product list for each customer to create a purchase forecast product address list for each customer having at least a customer ID, product name, and address items, and a search list storage Means for creating and updating the customer-specific purchase forecast product address list stored in the means;
A terminal characterized by being created by. The shopping bag number calculating means calculates a privilege point for the customer based on the number of shopping bags,
The customer information storage means stores the calculated cumulative privilege point information.
The terminal according to claim 1 . Based on the above-mentioned list of hot selling products by store, it has product point grant processing means for granting privilege points according to the values ranked in the product list to each product,
The terminal according to claim 2 . Customer information storage means for storing customer identification information for identifying a customer, attribute information representing the characteristics of the customer, and information on the number of shopping bag reductions;
Product master storage means for storing product information that is information about a plurality of products handled in the store and includes at least items of product identification information, product name, and product volume value ;
A plastic bag volume storage means for storing a reference plastic bag type when calculating the number of plastic bags and a reference volume value range for each plastic bag type ;
Sales information storage means for each customer for storing the customer identification information in association with at least the purchase date, the product name, and the purchase history information of the customer including the number of purchases;
Store-specific sales information storage means for storing store identification information for specifying a store and sales information including at least a product name and a sales quantity item,
A search list created by referring to the customer information storage means, the product master storage means, the customer-specific sales information storage means, and the store-specific sales information storage means. Search list storage means for storing, as a search list, a preference product list, a customer-specific purchase prediction product list, a customer-specific purchase prediction product address list, at least an interval period, a weight value type and a weight value parameter having items as items. When,
A product volume list creation storage means for referring to the product master storage means, creating a list in which addresses, product names, product volume values are extracted as necessary items of product information, and storing them in the search list storage means as a search list; , a method performed by a computer having,
Processing for recognizing clearing products purchased by the customer,
Processing to obtain customer identification information of the customer who made the product purchase;
Based on the customer identification information acquired above, a process of referring to the customer information storage unit, performs a particular customer who purchased the product,
A process for determining whether or not the same product record as the recognized clearing product is in the customer-specific purchase forecast product address list with reference to the customer-specific purchase forecast product address list of the identified customer;
As a result of the determination, when it is determined that the same product record exists, the address of the corresponding product record in the customer predicted purchase product address list is referred to, and the corresponding stored in the product volume list that is the reference destination of the address Processing to obtain the product volume value of the product record;
When the acquired product volume value is plural, the total value of the product volume values is calculated, and when the product volume value is singular, the product volume value is set as the total value, and the plastic bag volume list is referred to based on the total value. A process of determining the type of plastic bag corresponding to the total value and calculating the number of plastic bags;
Processing for outputting the result of the shopping bag number calculating means;
Processing to update and store the calculated shopping bag reduction number information in the customer information storage means, and update and store the clearing product information in the sales information storage means by customer;
A process of referring to the store-specific sales information storage means, extracting a product with a large sales quantity in each store, creating a prioritized list, and storing the list as a search list in the search list storage means;
When the customer-specific sales information storage means is updated and stored, based on the clearing merchandise information, the merchandise record in the existing purchase history information is determined to be the same as the clearing merchandise and the product name item. The record is extracted, the most recent purchase date among the purchase date items of the product record is obtained, the purchase interval is calculated based on the update storage date and the purchase date, and the calculated purchase interval is It is determined whether or not it corresponds to a specific interval period of the interval days weight value parameter, a weight value corresponding to the specific interval period is assigned to the clearing product determined to be applicable, and the same product record as the product record If it is in the existing customer preference product list, the weight value is added to the cumulative weight value in the product record, and the list is updated by sorting the product records based on the cumulative weight value after addition of each product. And a process of updating stored in the search list storage unit as the search list,
Based on the customer-preferred product list and the store-sold best seller product list, the same product record as the customer-preferred product list is deleted from the store-sold favorite product list, and after the bottom of the product record of the customer-preferred product list, A process of creating a list that combines the store-sold merchandise list by deleting the duplicate record, and storing it in the search list storage means as a search list;
The necessary items in the same product in the product volume list are combined with the purchase forecast product list for each customer to create a purchase forecast product address list for each customer having at least a customer ID, product name, and address items, and a search list storage Processing stored in the means;
A method characterized by comprising: Customer information storage means for storing customer identification information for identifying a customer, attribute information representing the characteristics of the customer, and information on the number of shopping bag reductions;
Product master storage means for storing product information that is information about a plurality of products handled in the store and includes at least items of product identification information, product name, and product volume value ;
A plastic bag volume storage means for storing a reference plastic bag type when calculating the number of plastic bags and a reference volume value range for each plastic bag type ;
Sales information storage means for each customer for storing the customer identification information in association with at least the purchase date, the product name, and the purchase history information of the customer including the number of purchases;
Store-specific sales information storage means for storing store identification information for specifying a store and sales information including at least a product name and a sales quantity item,
A search list created by referring to the customer information storage means, the product master storage means, the customer-specific sales information storage means, and the store-specific sales information storage means. Search list storage means for storing, as a search list, a preference product list, a customer-specific purchase prediction product list, a customer-specific purchase prediction product address list, at least an interval period, a weight value type and a weight value parameter having items as items. When,
A product volume list creation storage means for referring to the product master storage means, creating a list in which addresses, product names, product volume values are extracted as necessary items of product information, and storing them in the search list storage means as a search list; a computer program for causing a computer to function with,
For the above computer
Processing for recognizing clearing products purchased by the customer,
Processing to obtain customer identification information of the customer who made the product purchase;
Based on the customer identification information acquired above, a process of referring to the customer information storage unit, performs a particular customer who purchased the product,
A process for determining whether or not the same product record as the recognized clearing product is in the customer-specific purchase forecast product address list with reference to the customer-specific purchase forecast product address list of the identified customer;
As a result of the determination, when it is determined that the same product record exists, the address of the corresponding product record in the customer predicted purchase product address list is referred to, and the corresponding stored in the product volume list that is the reference destination of the address Processing to obtain the product volume value of the product record;
When the acquired product volume value is plural, the total value of the product volume values is calculated, and when the product volume value is singular, the product volume value is set as the total value, and the plastic bag volume list is referred to based on the total value. A process of determining the type of plastic bag corresponding to the total value and calculating the number of plastic bags;
Processing for outputting the result of the shopping bag number calculating means;
Processing to update and store the calculated shopping bag reduction number information in the customer information storage means, and update and store the clearing product information in the sales information storage means by customer;
A process of referring to the store-specific sales information storage means, extracting a product with a large sales quantity in each store, creating a prioritized list, and storing the list as a search list in the search list storage means;
When the customer-specific sales information storage means is updated and stored, based on the clearing merchandise information, the merchandise record in the existing purchase history information is determined to be the same as the clearing merchandise and the product name item. The record is extracted, the most recent purchase date among the purchase date items of the product record is obtained, the purchase interval is calculated based on the update storage date and the purchase date, and the calculated purchase interval is It is determined whether or not it corresponds to a specific interval period of the interval days weight value parameter, a weight value corresponding to the specific interval period is assigned to the clearing product determined to be applicable, and the same product record as the product record If it is in the existing customer preference product list, the weight value is added to the cumulative weight value in the product record, and the list is updated by sorting the product records based on the cumulative weight value after addition of each product. And a process of updating stored in the search list storage unit as the search list,
Based on the customer-preferred product list and the store-sold best seller product list, the same product record as the customer-preferred product list is deleted from the store-sold favorite product list, and after the bottom of the product record of the customer-preferred product list, A process of creating a list that combines the store-sold merchandise list by deleting the duplicate record, and storing it in the search list storage means as a search list;
The necessary items in the same product in the product volume list are combined with the purchase forecast product list for each customer to create a purchase forecast product address list for each customer having at least a customer ID, product name, and address items, and a search list storage Processing stored in the means;
A computer program that executes