JP2001167168A - Merchandise ordering supporting device, merchandise ordering supporting method and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a merchandise ordering supporting device, a merchandise ordering supporting method and a recording medium capable of providing merchandise sales amount prediction information in a period before merchandise warehousing at the time of merchandise ordering work by a human system. SOLUTION: This device is provided with a result information sum-up processing part 9 for summing up merchandise sales results for respective time bands, a sales management element information management part 12 for storing prediction information relating to sales management elements affecting sales with a date or the period as a reference, a sales prediction coefficient making processing part 13 for estimating the coefficient of an affecting degree on sales to an average sales amount for the respective sales management elements, a sales business information management part 11 for storing the coefficient of the affecting degree as merchandise sales prediction coefficient information relating to each merchandise for the respective sales management elements, and a sales prediction calculation processing part 10 for predicting a merchandise ordering amount based on sales management element prediction information and merchandise sales prediction coefficient information.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a merchandise order support apparatus, a merchandise order support method, and a recording medium, and more particularly, to a merchandise order support apparatus and a merchandise order support method suitable for providing support for human-based merchandise order work. , And a computer-readable recording medium storing a product order support program.

[0002]

2. Description of the Related Art Conventionally, this type of apparatus has been used in ordering a product by a human system, until information on the ordered product including current stock information and past sales performance information of the product is received and the ordered product is received. In this case, a method of providing the product order support information including the calendar information, the weather information, and the year-old information during the period is adopted.

With reference to FIG. 12, an example of the content ordering support information of the prior art will be described more specifically. The product ordering support provision information 31 is a group of various kinds of information provided by a device of this type for product ordering support during a human-made product ordering operation. The product order support providing information 31 is the product order information 3
1-1 and product order support information 31-2. The product order information 31-1 includes order product type information, stock information of the product, sales performance information in the past period, order information, and the like.

[0004] The product ordering support information 31-2 includes status information for each element that is expected to have an effect on sales during the period until the product to be ordered enters the warehouse. Specifically, the merchandise order support information 31-2 includes calendar information 31-3 such as a day of the week, a public holiday, a specific day, etc., included in a specific period, and a weather forecast and temperature, etc. in the area for each day and time zone. Weather information 31-4, year-end information 31-5 such as festivals, events, and leisure activities in the area, ordering conditions for the product, maker activity status (commercial, prize presence / absence, etc.), business activities (back margin, Instructions / instructions), and related information 31-7 on business days and the time zone of each business day.

[0005]

However, the above-described prior art has the following problems.

[0006] In the above-mentioned conventional example, since sales performance management for each management element affecting sales and estimation of the degree of influence of this management element in the future period are not performed, support for ordering human-based products is provided. Although information such as past sales results and future sales environment can be provided, there is a problem that it is not possible to support future sales volume forecast information.

Particularly, in ordering a product, since the trend of the future product is important, it is usual for the product orderer to place an order based on a prediction utilizing his own experience and intuition. If the reality corresponds to that, the prediction success means that the sale of goods will work well. In this way, the ability to order products is also required to predict products,
That is what is expected.

An object of the present invention is to provide a product ordering support apparatus, a product ordering support method, and a recording medium which can provide product sales amount prediction information during a period until a product is stocked during a product ordering operation by a human system. is there.

[0009]

SUMMARY OF THE INVENTION The present invention relates to a merchandise ordering support device for supporting merchandise ordering work, comprising: a totaling means for totalizing merchandise sales results by time zone; and prediction information on sales management factors affecting sales. First storage means for storing the sales management element based on a date or a period, estimating means for estimating a coefficient of the degree of influence on sales with respect to the average sales amount for each of the sales management elements, and A second storage means for storing the sales management factor prediction information stored in the first storage means and the product sales stored in the second storage means; Prediction means for predicting the order quantity of the product based on the prediction coefficient information.

Further, the present invention relates to a product ordering support method for supporting a human-based product ordering operation. In this method, product sales results for each time zone are totaled, and sales for the average sales volume are classified by sales management factors affecting sales. The sales management factor prediction information, and the product sales prediction coefficient information for each product for each sales management element as the influence level coefficient, or for each product as the influence level coefficient In addition, a commodity order quantity is predicted based on the commodity sales prediction coefficient information for each sales management element and the commodity sales prediction coefficient information.

The present invention is also directed to a recording medium storing a computer-readable product ordering support program, wherein the product ordering support program includes a totaling step of totaling product sales results for each time zone, and an influence on sales. A first storage step of storing prediction information on the sales management element to be performed on the basis of a date or a period, an estimation step of estimating a coefficient of the degree of influence on sales with respect to an average sales amount for each of the sales management elements, and the degree of influence A second storage step of storing the coefficient as product sales prediction coefficient information for each product for each sales management element, or as product sales prediction coefficient information for each sales management element for each product,
A prediction step of predicting a product order quantity based on the sales management element prediction information stored in the first storage step and the product sales prediction coefficient information stored in the second storage step. And

FIG. 1 is a block diagram showing a product ordering support apparatus according to the present invention.
In the merchandise ordering support device that supports merchandise ordering work, a totaling means (9) for totalizing merchandise sales results for each time zone, and forecast information on sales management elements affecting sales are provided by date. Or a first storage means (12) for storing based on a period, an estimating means (13) for estimating a coefficient of the degree of influence on sales with respect to the average sales amount for each sales management element, and a coefficient of the degree of influence. Second storage means (11) for storing, as the sales management element, product sales prediction coefficient information for each product, the sales management element prediction information stored in the first storage means, and the second storage means And a prediction means (10) for predicting a product order quantity based on the product sales prediction coefficient information stored in the storage device.

[Operation] The merchandise order support apparatus of the present invention manages sales performance for each element affecting sales and manages the expected appearance or schedule of elements affecting sales during the period until the goods are received. To control. For this reason, since the sales volume of each product can be predicted, it is possible to provide the product sales volume prediction information in the period up to the stocking of the product at the time of a product ordering operation by a human system.

[0014]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS First Embodiment Next, a first embodiment of the present invention will be described in detail with reference to the drawings.

(1) Description of Configuration Referring to FIG. 1, a product order support device 4 according to a first embodiment of the present invention includes a sales management information collecting unit 5, a sales result information collecting unit 6, a product order managing unit. 7, a time zone notification unit 8, a performance information totalization processing unit 9, a sales forecast calculation processing unit 10, a sales business information management unit 11, and a sales management element information management unit 12
And a sales prediction coefficient conversion processing unit 13. In the figure, reference numeral 1 denotes sales management information maintenance management connection means, 2 denotes sales performance management connection means, and 3 denotes product order management connection means.

In the following description, among the constituent elements, "... Management unit" is a storage unit in principle, which is a department storing various information and data. It may be one of a large capacity or may be individually separated as a device. The sales management information maintenance management connection means 1, the sales performance management connection means 2, and the product order management connection means 3 respectively input data from an input keyboard, a mouse, or the like, and display a display such as a liquid crystal panel based on the input result. Is input / output means for displaying. Each of these connecting means may be integrally formed, or may be separated from each other.

First, the characteristic components of the present invention will be described with reference to FIG. First, according to the display display of the input / output device, the sales result management connection means 2 inputs the number of products sold with the sales result as the sales result. Also,
The sales management information maintenance / management connection unit 1 inputs product type information, new product type, and the like as sales management information, and inputs a predicted sales date. In addition, from the product order management connection means 3, according to the display required when ordering a product from the input / output device, the sales date for the product prediction value and the like are input from the specification of the product type.

Further, the sales management information collecting unit 5 includes: merchandise information; sales management element information affecting sales; sales management element prediction information for each day and time zone of a future date for each sales management element; And sales management information including at least sales management element performance information for each day and time zone. The sales management element information management unit 12 uses the date or period as a reference,
The prediction information and the performance information relating to the sales management element are stored. The performance information totalization processing unit 9 totalizes the product sales performance for each time zone. The sales / sales information management unit 11 stores product sales performance information for each product for each day and time zone, product inventory information for each product, and product sales prediction coefficient information for the future for each sales management element for each product. Is stored.

The sales prediction coefficient conversion processing unit 13 uses the merchandise sales performance information in the past period and the performance information of the sales management element in the past period to calculate the sales to the average sales amount for each sales management element. The coefficient of the degree of influence is estimated, and sales sales information management section 1 is used as product sales prediction coefficient information.
1 is stored. The sales prediction calculation processing unit 10 predicts the order quantity of a product using the sales management element prediction information and the product sales prediction coefficient information for the future period stored in the sales management element information management unit 12 and the sales business information management unit 11. do. The product order quantity prediction information is provided to the product orderer's product ordering work via the product order management unit 7 to provide product order support information that focuses on the product order quantity prediction.

Referring to FIG. 2, the sales / sales information management unit 11 of the commodity order support apparatus 4 according to the first embodiment of the present invention shown in FIG. 1 includes one or more commodity information storage units 11-1-1.
, A sales forecast information storage unit 11-2-1 by calendar characteristic, a sales forecast information storage unit 11-2-2 by weather characteristic, and a sales forecast by age characteristic A sales forecast information management unit 11-2 for each sales management element including an information storage unit 11-2-3, a sales forecast information storage unit 11-2-4 for each manufacturer activity characteristic, and sales by day and time zone It is composed of a performance information management unit 11-3. The sales / sales information management unit 11 is a storage unit that stores various types of information at the time of product ordering, transfers the information to the product order management unit 7 based on the stored information, and sends a sales prediction coefficient To send information and data for

Referring to FIG. 3, the sales management element information management unit 12 according to the first embodiment of the present invention shown in FIG. 1 includes a business day information storage unit 12-1-1 including one or more business day information storage units 12-1-1. Information management unit 12-1, calendar characteristic information storage unit 12-2-1 by date, weather characteristic information storage unit 12-2 by date
-2, date-specific year-old characteristic information storage unit 12-2-3, date-specific maker activity characteristic information storage unit 12-2-4, and date-specific business activity characteristic information storage unit 12-2-5. And a sales management element information management unit 12-2 for each due date.

Referring again to FIG. 1, the sales management information maintenance management connection means 1 is used as a means for connecting the product order support device 4 of the first embodiment of the present invention to an external system or a human system.
And sales performance management connection means 2 and product order management connection means 3. These means will be described in more detail with reference to FIGS. 1, 2 and 3.

The sales management information collecting unit 5 uniquely identifies time zone information for stratifying 24 hours, product information including information for uniquely identifying a product, and a sales management element affecting sales. Information and forecast information (plan, forecast,
Forecast) and sales management information including sales management element performance information for each day and time zone of the past date, and the maintenance and maintenance of the information.

The sales performance information collection unit 6 includes sales performance information including information for uniquely identifying the product each time the product is sold, discarded, or lost, and performance information of the product, and stock information of the product. Collect sales performance information.

The merchandise order management section 7 exchanges merchandise ordering work support information for human-based merchandise ordering work, based on an ordering instruction from a human system.

The time zone notifying unit 8 includes the sales management information collecting unit 5
Based on the time zone information for stratifying 24 hours instructed by the sales management information maintenance management means 1 via, a notification is made to the performance information aggregation processing unit 9 when the corresponding time comes. Further, the sales prediction coefficient conversion processing unit 13 is also notified of the occurrence when the sales prediction coefficient conversion processing is performed.

The performance information totalizing unit 9 is configured to store the sales performance information obtained via the sales performance information collection unit 6 and the time zone notification unit 8
Using the time zone information notified from the company, the sales performance information for each day and time zone stored in the sales and business information management unit 11 is maintained.

The sales information management unit 11 stores product information, sales forecast information for each sales management element, and sales performance information for each day and time zone.

The product information management section 11-1 stores one or more pieces of product information.

The merchandise information storage unit 11-1-1 stores merchandise information including information for uniquely identifying the merchandise, current stock information of the merchandise, and average sales performance information of the merchandise for each time zone. Memorize one or more.

Sales forecast information management unit 11 for each sales management element
-2 indicates sales forecasts for each sales management element including sales forecast information for each calendar feature, sales forecast information for each weather feature, sales forecast information for each age characteristic, and sales forecast information for each manufacturer activity feature. Store the information.

Sales prediction information storage unit 11 for each calendar characteristic
2-1 stores sales prediction information for each calendar characteristic including sales prediction coefficient information for each day of the week and sales prediction coefficient information for public holidays for each product.

Sales forecast information storage unit 11-2 for each weather characteristic
-2 stores sales prediction information for each weather characteristic including sales prediction coefficient information for each temperature zone and sales prediction coefficient information for each weather condition for each product.

Sales prediction information storage unit 11-2 for each age characteristic
Reference numeral -3 stores sales prediction information by age characteristics including sales prediction coefficient information for each stratum of festivals, events, and various events (athletic events at nearby schools, excursions, etc.) for each product.

Sales forecast information storage unit 1 for each manufacturer activity characteristic
1-2-4 is sales prediction coefficient information for each commercial frequency on televisions and newspapers, sales prediction coefficient information for each layer of attached premiums, and sales prediction for each layer of sales campaign contents for each product. Sales forecast information for each sales promotion activity characteristic including coefficient information is stored.

Sales performance information management section 11-
Reference numeral 3 stores sales result information by day and time zone for each product.

The sales management element information management unit 12 stores information for each business day and sales management element information for each date.

The business day information management unit 12-1 stores one or more business day information.

The business day information storage unit 12-1-1 stores the store identification information for uniquely identifying the store, the past date (the business has been performed) and the future date (the business is scheduled to be performed) in the specific period.
And business day information including information indicating the current time zone.

Sales management element information management unit 12-2 by date
Is sales management by date, including calendar characteristic information by date, weather characteristic information by date, year-end characteristic information by date, manufacturer activity characteristic information by date, and business activity characteristic information by date. Stores element information.

Date-specific calendar characteristic information storage unit 12-2
-1 stores calendar characteristic information including date information, day information of the day, and holiday information of the day.

Date-specific weather characteristic information storage unit 12-2-2
Stores date information and weather characteristic information including weather conditions and temperatures for each time zone of the day. If the due date is a past date, it is actual information, and if it is a future date, it is forecast information.

Age characteristic information storage unit 12-2-3 for each date
Stores period information, event information of the corresponding area, and year-old characteristic information including entertainment information. Note that when the period is a past date, it is actual information, and when the period is a future date, it is plan (plan) information.

Maker activity characteristic information storage unit 12-by date
2-4 is period information and information on sales promotion activities of manufacturers (TV commercials, newspaper commercials,
Maker activity characteristic information including premium contents) is stored.
Note that when the period is a past date, it is actual information, and when the period is a future date, it is plan (plan) information.

Sales activity characteristic information storage unit 12-2 for each date
-5 stores sales activity characteristic information including period information and sales support information (back margin information, selling information, etc.).

The sales prediction coefficient conversion processing unit 13 stores the past date or the past time period of the day stored in the sales performance information management unit 11-3 for each day and time zone included in the sales and business information management unit 11. , Calendar characteristics relating to the past due date or the past time zone of the day stored in the sales management element information management unit 12-2 for each date included in the sales management element information management unit 12-2. Calculation of average sales volume per unit period using sales management element information including information, weather characteristics information, age characteristics information, manufacturer activity characteristics information, and sales activity characteristics information, and sales for the average sales volume for each product Estimate the influence coefficient on sales volume for each characteristic for each management element. The product information including the average sales volume per unit period for each product and the sales forecast information for each sales management element including the influence coefficient on the sales volume for each sales management element characteristic are transmitted to the sales and sales information management unit 11. It is stored in the sales forecast information management unit 11-2 for each sales management element included.

The sales forecast calculation processing unit 10 stores product information including the average sales amount per unit period stored in the sales business information management unit 11 for the relevant product to be ordered by the human system,
Sales forecast information for each sales management element including an influence coefficient on sales volume for each sales management element characteristic, and sales management element prediction or a sales management element regarding the period until the ordered product stored in the sales management element information management unit 12 is received. Calculation processing of order quantity estimation is performed using the sales management element information for each date including the schedule information.

Referring to FIG. 11, a specific configuration of the commodity ordering support device according to the first embodiment of the present invention and a second embodiment described later, and a program is supplied from the recording medium to the commodity ordering support device. Explain the concept. First and second embodiments of the present invention
The product ordering support device of the embodiment is, specifically, a CPU 1
11, a computer including an input unit 112, an output unit 113, a storage unit 114, and a recording medium reading unit 115. In the figure, reference numeral 116 denotes a recording medium.

The above configuration will be described in detail.
It has the commodity order support function shown in FIGS. 1 to 3 and FIG. 10 described below, and executes the processing shown in FIGS. 4 to 7 based on the program stored in the recording medium 116. The input unit 112 includes a keyboard, a mouse, and the like for performing various data inputs and various instructions. The output unit 113 includes a display, a printer, and the like for outputting various data. The storage unit 114 includes a cache memory for speeding up, a ROM and a RAM that also serve as a main storage device, and the like. The recording medium reading unit 115 includes a recording medium 116.
And a recording medium drive that reads out programs and data stored in the storage medium. The recording medium 116 is a hard disk, a floppy disk, a CD-ROM, a CD-R,
MO, DVD-RAM, etc. Further, the recording medium reading unit 115 also serves as a drive when the above-described product order support program is written in the storage medium 116. The recording medium 116 may store a program transmitted to a computer via a communication medium such as a corporate LAN.

(2) Description of Operation Next, the operation of the first embodiment of the present invention will be described with reference to FIGS. 1, 2, and 3 with a focus on FIGS. 4, 5, 6, and 7. This will be described in detail.

The sales management information collecting unit 5 waits for a sales management information maintenance instruction from a human or other system via the sales management information maintenance management connection means 1 (step 501 in FIG. 4). When there is a maintenance management instruction of the sales management information, the type of the maintenance management instruction is analyzed (step 50 in FIG. 4).
2). In the case of maintenance instructions related to calendar information,
The user inputs calendar information (step 503 in FIG. 4). Then, based on the designated input information, update, new addition, or deletion of the calendar characteristic information by date stored in the calendar characteristic information storage unit 12-2-1 by date is performed (step 504 in FIG. 4). .

In the case of a maintenance management instruction relating to weather information, weather information is input (step 505 in FIG. 4). Then, based on the designated input information, update, new addition, or deletion of the date-specific weather characteristic information stored in the date-specific weather characteristic information storage unit 12-2-2 is performed (step 506 in FIG. 4). ).

In the case of a maintenance / management instruction relating to the age information, the age information is input (step 507 in FIG. 4). Then, based on the input information instructed, update, new addition, or deletion of the date-specific age-specific characteristic information stored in the date-specific age-specific characteristic storage unit 12-2-3 is performed (see FIG. 4). Step 508).

In the case of a maintenance instruction relating to the maker activity information, the maker activity information is input (step 5 in FIG. 4).
09). Then, based on the input information instructed,
The maker activity characteristic information by date stored in the maker activity characteristic information by date storage unit 12-2-4 is updated, newly added, or deleted (step 510 in FIG. 4).

In the case of a maintenance management instruction relating to the business activity information, the business activity information is input (step 51 in FIG. 4).
1). Then, based on the input information instructed, update, new addition, or deletion of the due date-based business activity characteristic information stored in the due date-based business activity characteristic information storage unit 12-2-5 is performed (see FIG. 4). Step 512).

In the case of a maintenance instruction for other information, other information is input (step 51 in FIG. 4).
3). Then, based on the instructed input information, the corresponding information is updated, newly added, or deleted. Specifically, when the type of other information is time zone information, the time zone notification unit 8 is used. When the type of other information is product information, the product information management unit 11-1 is used. In the case of the business day information, the business day information management unit 12-1 updates, newly adds, or deletes the corresponding information stored therein (step 514 in FIG. 4).

When a series of operations relating to each maintenance instruction is completed, the process returns to waiting for the maintenance instruction in the sales management information (step 501 in FIG. 4).

The sales record information collection unit 6 waits for the arrival of the sales record information notified from the sales record management connection means 2 (step 601 in FIG. 5). The sales result information is input in accordance with an instruction from the sales result management connection means 2 and is notified to the result information totalizing unit 9 (step 602 in FIG. 5). Upon detecting the processing request, the performance information totaling unit 9 detects the sales performance information collection unit 6.
It is determined whether the notification is that the sales performance information has been received or the notification of the end of the specific time zone from the time zone notification unit 8 (step 603 in FIG. 5).

In the case of the specific time zone end notification from the time zone notification unit 8, the held sales performance total information for each product in the relevant time zone is stored in the daily time zone sales performance information management unit 11-. 3 (step 605 in FIG. 5). In the case of the sales performance information reception completion notification from the sales performance information collecting unit 6, the notified sales performance information is totaled for each product and held (step 604 in FIG. 5). Upon completion of the above series of operations, the process returns to a state of waiting for the start of sales performance information collection (step 601 in FIG. 5).

The sales prediction coefficient processing unit 13 waits for a sales prediction coefficient processing request from either the sales management information collection unit 5 or the time zone notification unit 8 (step 13 in FIG. 6).
1). Upon receiving the sales prediction coefficient processing request, the product information storage unit 11-1-1 included in the product information management unit 11-1
The product information including the product identification information stored in step 1 is sequentially obtained (step 132 in FIG. 6). The sales result information of the past period to be subjected to the sales prediction coefficient conversion process for the product is acquired from the sales result information management unit 11-3 for each day and time zone (step 133 in FIG. 6).

The sales prediction information for each sales management element characteristic, which is the result of the previous sales prediction coefficient conversion process for the product, is obtained from the sales prediction information management unit 11-2 for each sales management element. Specifically, sales forecast information storage unit 11-
2-1 and a sales forecast information storage unit 11-2- for each weather characteristic
2 and sales prediction information storage unit 11-2-3 by age characteristic
And sales prediction information storage unit 11-2-2-by manufacturer activity characteristics
Then, the sales prediction information for each characteristic for each sales element is obtained from Step 4 (Step 134 in FIG. 6).

The sales management element information in the past period to be subjected to the sales prediction coefficient conversion processing is acquired from the sales management element information management unit 12-2 for each due date. Specifically, a calendar characteristic information storage unit 12-2-1 for each date, a weather characteristic information storage unit 12-2-2 for each date, and a year-old characteristic information storage unit 12-2-3 for each date. Then, the characteristic information for each sales management element is acquired from the manufacturer activity characteristic information storage unit 12-2-4 for each date (step 135 in FIG. 6).

Using the sales performance information of the applicable product within the target period, the sales forecast information for each sales management element characteristic of the previous processing result of the corresponding product, and the sales management element information within the target period, Estimate the sales forecast coefficient for each future sales management element characteristic of the product. This sales prediction coefficient is a multiplication factor with respect to the average sales amount per unit period for the corresponding product (step 136 in FIG. 6).

The sales forecast information for each sales management element is stored in the sales forecast information management section 11-2 for each sales management element. Specifically, the sales forecast information for each characteristic regarding the calendar characteristics is stored in the sales forecast information storage unit 11-2-1 for each calendar characteristic, and the sales forecast information for each characteristic regarding the weather characteristics is sales forecast information for each weather characteristic. The sales forecast information stored in the storage unit 11-2-2 is stored in the sales forecast information storage unit 11-2-3 according to the age characteristics, and the sales forecast information is stored in the sales forecast information storage unit 11-2-3 according to the age characteristics. The information is stored in the sales forecast information storage unit 11-2-4 for each maker activity characteristic. Information on the average sales amount per unit period is stored in the product information storage unit 11-1-1 (step 137 in FIG. 6).

After the estimation of the sales prediction coefficient for the product concerned and a series of storages are completed, it is determined whether or not there is another product for which the estimation processing of the sales prediction coefficient is necessary. If there is another product, the process returns to obtaining product information again (step 13 in FIG. 6).
8). When a series of the sales prediction coefficient estimation processing for all the target products is completed, a request for the sales prediction coefficient conversion processing is waited again (step 13 in FIG. 6).
1).

The product order management section 7 waits for a product order processing request via the product order management connection means 3 (step 7 in FIG. 7).
01). Upon receiving the product order processing request, the product order management unit 7 acquires information for uniquely identifying the product to be considered for ordering (step 702 in FIG. 7). Next, the order environment information on the relevant product is stored in the product information management unit 11-.
1 obtained from the product information storage unit 11-1-1 included in
The product order management connection means 3 is notified. The ordering environment information includes ordering conditions (ordering unit, delivery date, etc.) for the corresponding product, stock amount information at the present time, and average sales amount information for the unit period (step 703 in FIG. 7).

Further, the sales performance information for each time zone in the specified elapsed period for the corresponding product is acquired from the sales performance information management unit 11-3 for each day time zone, and is notified to the product order management connection means 3. (Step 704 in FIG. 7).

Further, the characteristic information for each sales management element in the sales forecast period (including at least the period from the present time to the storage after order placement) is acquired from the sales management element information management unit 12-2 for each due date. If necessary, the product order management connection means 3 is notified. Specifically, the calendar characteristic information is acquired from the calendar characteristic information storage unit 12-2-1 for each date, and the weather characteristic information is acquired from the calendar characteristic information storage unit 12-for each date.
2-2, the age characteristic information is acquired from the date-specific age characteristic information storage unit 12-2-3, and the maker activity characteristic information is acquired from the date-specific maker activity characteristic information storage unit 12-2-4. The acquired business activity characteristic information is acquired from the date-specific business activity characteristic information storage unit 12-2-5 (step 70 in FIG. 7).
5).

Further, the sales forecast information for each characteristic of each sales management element including the sales forecast coefficient information for each characteristic of the sales management element for the corresponding product is acquired from the sales forecast information management section 11-2 for each sales management element. . If necessary, the product order management connection means 3 is notified. Specifically, sales forecast information for each calendar characteristic by characteristic is obtained from the sales forecast information storage unit for each calendar characteristic 11-2-1. Sales forecast information for each weather characteristic is sales forecast information for each weather characteristic. Storage unit 1
The sales forecast information obtained by the age characteristics is obtained from 1-2-2 and the sales forecast coefficient information storage unit 11-
The sales forecast information for each maker activity characteristic is acquired from 2-3 and the sales forecast information storage unit 1 for each maker activity characteristic.
It is acquired from 1-2-4 (step 706 in FIG. 7).

The sales forecast calculation processing unit 10 includes order environment information on the relevant product, characteristic information (forecast / forecast information, plan information) for each sales management element in the sales prediction period, and characteristics for each sales management element on the relevant product. Using the sales forecast information for each characteristic for each sales management element including another sales forecast coefficient information, the sales amount forecast of the corresponding product is estimated (step 707 in FIG. 7). The information on the sales volume prediction serves as support information for the product order volume determination work by the human system. This support information is notified to the product order management connection means 3 via the product order management unit 7 (step 708 in FIG. 7).

When the merchandise order management unit 7 obtains the merchandise order determination information of the relevant merchandise from the human system via the merchandise order management connection means 3, the merchandise order management unit 7 holds the relevant information until a series of merchandise ordering work by the human system is completed ( Step 70 in FIG.
9). Next, it is determined whether or not a series of product ordering work by a human system has been completed (step 710 in FIG. 7). If there is a product ordering operation for another product, the process returns to the acquisition of identification information on the relevant product again (step 702 in FIG. 7). When a series of product ordering work by a human system is completed, a product order is instructed according to the product order determination information for each product which is temporarily held (step 71 in FIG. 7).
1). When the ordering instruction for all the applicable products is completed, the process waits for a product order processing request via the product order management connection means 3 again (step 701 in FIG. 7).

Next, a specific case will be described with reference to FIGS. 8 and 9. FIG.

The product information storage unit 11-1-1 included in the product information management unit 11-1 and the sales prediction information storage unit 11 for each calendar characteristic included in the sales prediction information management unit 11-2 for each sales management element. FIG. 8 shows a specific example of -2-1 and the sales prediction information storage unit 11-2-2 for each weather characteristic. The products here include ice cream and ice cream sold at convenience stores and supermarkets that handle daily necessities and miscellaneous goods.
Fruits, bento, bread, food, milk, magazines such as weekly magazines and comics, etc., but are not limited thereto.

According to FIG. 8, the product identification information section 11-1-
1-1, “ice cream A” is identified as the identifier 001, and the stock of this ice cream is stored in the current stock information section 11.
There are 25 ice creams A in 1-1-1-2, and five ice creams A sold to date are sold in time zone 1 in the average sales performance information section 11-1-1-3 for each time zone. The product identification information section 11-2-1-2 is stored in the sales forecast information storage section 11-2-1 for each calendar characteristic.
According to the identifier 001 to be ordered and the characteristics of the ice cream A, a sales prediction coefficient information section 11-2-1-3 for each characteristic
And prediction coefficients, such as holidays 1.4, Sunday 1.5, and Monday 0.5. The sales prediction information storage unit 11-2-2 for each weather characteristic has a product identification information unit 11-2-2.
1-2, according to the identifier 001 to be ordered and the characteristics of the ice cream A, the sales prediction information section 11-2-2-2-3 for each product-specific weather characteristic (weather), the coefficient of fine weather 1.2, Of 1.0, 0.8 when cloudy, and the like are stored. Also,
Sales forecast information section 11-2-2-by product-specific weather characteristics (temperature)
In 2-4, a coefficient 0.3 when the angle is less than 20 degrees, a coefficient 0.5 when the angle is 20 to 25 degrees, and the like are stored. Therefore, based on these information, by a predetermined calculation process from the prediction coefficient,
An appropriate order number of the ice cream A can be determined.

The business day information storage unit 1 included in the business day information management unit 12-1 in the sales management element information management unit 12
2-1-1 and sales management element information management unit 12-
2. Calendar characteristic information storage unit 12-2 for each date included in 2
FIG. 9 shows a specific example of the weather characteristic information storage unit 12-2-2 according to -1 and the date and the age characteristic information storage unit 12-2-3 according to the date.

According to FIG. 9, the business day information storage unit 12-1
-1 is “10” in the district identifier as store identification information.
0 ", store name is" Nagoya Ekimae Store ", its business day information is" September 15, 1999 ", current time zone information is" time zone 5 / time ", and calendar characteristics by date The specific date calendar characteristic information section 1 is stored in the information storage section 12-2-1.
The information of “Wednesday”, “holiday”, “Dai'an”, and “other than nothing” is extracted from “September 15, 1999” as “2-2-1-1” as a search result, and the date-specific weather characteristic information storage unit 12-2
-2, the specific day weather characteristic information section 12-2-2-1 targets "September 15, 1999" and the district "085 to 110", and in time zone 1, the weather is cloudy, the temperature is 7.5 degrees, In time zone 2, the weather is clear and the temperature is 20.0 degrees. In addition, the year-old characteristic information storage unit 12 for each date
-2-3 Specific period age characteristic information section 12-2-3-1
In the period of "September 12, 1999-September 19, 1999", the district is 098-100, there is one event, and it is remembered that the "Autumn Walking Tournament" will be held. On the day of “September 15, 1999-September 15, 1999”, the district was 098-100, and there were three events.
Is stored. Since such a due date condition is stored in the storage means, it is possible to predict the quantity required for the commodity before and after the due date without any emotion and by accurately calculating and outputting.

As described above, according to the first embodiment of the present invention, in a product ordering support device that supports human-based product ordering work, sales results are totaled for each sales management element that affects sales. In order to estimate the sales influence coefficient for each sales management element and further estimate the sales volume of each product in the future period in cooperation with the expected appearance of this sales management element in the future period, The estimation information can be provided at the time of the product ordering work performed by a human being.

[Second Embodiment] Next, a second embodiment of the present invention will be described in detail with reference to the drawings.

(1) Description of Configuration Referring to FIG. 10, the merchandise order support apparatus according to the second embodiment of the present invention includes a sales management information unit 11 included in the sales business information management unit 11 according to the first embodiment of the present invention. Only the structure of the sales forecast information management unit (11-2 in FIG. 2) for each element is different. Since other configurations and operations in the second embodiment of the present invention are the same as those in the first embodiment, the description of the second embodiment of the present invention will be omitted.
Sales forecast information management unit 11-2 for each sales management element in FIG.
Only shall be described.

In the merchandise order support apparatus according to the second embodiment of the present invention, the sales forecast information management unit 11 for each sales management element for each merchandise.
-2-1 is provided for each product, and the sales forecast information management section 11-2-1 for each sales management element for each product stores sales forecast information for each characteristic of all sales management elements for a specific product. It is configured as follows.

(2) Description of Operation Next, the operation of the second embodiment of the present invention will be described in detail with reference to FIG.

In the merchandise order supporting apparatus according to the second embodiment of the present invention, as described above, the sales forecast information management section 11-2-1 for each merchandise sales management element is provided for each merchandise, and each merchandise sales is performed. The sales forecast information management unit 11-2-1 for each management element stores sales forecast information for each characteristic of all sales management elements for a specific product.

That is, in the above-described first embodiment of the present invention, the method of storing the sales forecast information on each product for each sales management element is used. However, in the second embodiment of the present invention, the sales forecast information is stored for each product. This is a method of storing sales forecast information for each management element, and the same effects as in the first embodiment can be obtained.
It should be noted that there is no difference between the other means, and the description is omitted.

As described above, according to the second embodiment of the present invention, as in the first embodiment, in a product order support apparatus for supporting a human-based product ordering operation,
Aggregate sales results for each sales management element that affects sales, estimate the sales impact coefficient for each sales management element, and further link each product in the future period in cooperation with the expected appearance of this sales management element in the future period. , It is possible to provide the estimated information of the sales amount in the future period at the time of the product ordering work performed by the human system.

Further, according to the present invention, as shown in FIG. 11, the commodity order supporting method according to each of the above embodiments is controlled by the CPU 111, an application program for performing the control operation, and a necessary database. The data of the temporary storage unit can be stored in the storage medium 116. This storage medium 116 can be further expanded as a package memory medium, and can be used not only for food and sundries but also for goods such as convenience stores, supermarkets, and retailers. It can be downloaded to a storage area of a computer and greatly assists in the above-mentioned human ordering of merchandise.

[0086]

As described above, according to the present invention, calendar characteristics, weather characteristics, age characteristics, and manufacturer activity characteristics are stratified, and the order quantity of goods is determined using past sales performance information for each stratum. In addition to predicting, for the period until the ordered product arrives, the calendar characteristics, weather characteristics, age characteristics, maker activity characteristics are stratified, and to predict the product order quantity using the appearance status of each stratified characteristic, that is, By managing sales performance for each element that affects sales and managing the expected appearance or schedule of elements that affect sales until the goods are received, it is possible to predict the sales volume of each product. There is an effect that it is possible to provide the product sales amount prediction information in the period up to the storage of the product at the time of a product ordering operation by a human system.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating an overall configuration of a product ordering support device according to a first embodiment of the present invention.

FIG. 2 is a block diagram showing a detailed configuration of a sales information management unit of the product ordering support device according to the first embodiment of the present invention.

FIG. 3 is a block diagram illustrating a detailed configuration of a sales management element information management unit of the product ordering support device according to the first embodiment of the present invention.

FIG. 4 is a flowchart illustrating an operation of a sales management information collecting unit of the product ordering support device according to the first embodiment of the present invention.

FIG. 5 is a flowchart showing an operation of a sales record information collection unit of the product ordering support device according to the first embodiment of the present invention.

FIG. 6 is a flowchart illustrating an operation of a sales prediction coefficient conversion processing unit of the product ordering support device according to the first embodiment of the present invention.

FIG. 7 is a flowchart showing the operation of a product order management unit of the product order support device according to the first embodiment of the present invention.

FIG. 8 is a merchandise information storage unit included in a merchandise information management unit of the merchandise order support apparatus according to the first embodiment of the present invention, and sales prediction information for each calendar characteristic included in a sales prediction information management unit for each sales management element. It is a block diagram which shows the specific example regarding a memory | storage part and the sales prediction information memory | storage part for every weather characteristic.

FIG. 9 is a business day information storage unit included in the business day information management unit of the product order support apparatus according to the first embodiment of the present invention, and calendar characteristic information for each date included in the sales management element information management unit for each date. It is a block diagram which shows the specific example regarding a memory | storage part, the weather characteristic information storage part according to date, and the age characteristic information storage part according to date.

FIG. 10 is a block diagram illustrating a detailed configuration of a sales information management unit of the product ordering support device according to the second embodiment of the present invention.

FIG. 11 is a block diagram showing a specific configuration of the product ordering support device according to the first and second embodiments of the present invention and a concept of supplying a program from a recording medium to the product ordering support device.

FIG. 12 is an explanatory diagram showing an example of product ordering support information of a conventional example.

[Explanation of symbols]

 1 sales management information maintenance management connection means 2 sales performance management connection means 3 product order management connection means 4 product order support device 5 sales management information collection section 6 sales performance information collection section 7 product order management section 8 time zone notification section 9 performance information Total processing unit 10 Sales forecast calculation processing unit 11 Sales and sales information management unit 11-1 Product information management unit 11-2 Forecast information management unit by sales management element 11-3 Sales performance information management unit by day and time zone 12 Sales Management element information management section 12-1 Business day information management section 12-2 Sales management element information management section by date 13 Sales prediction coefficient processing section 111 CPU 112 Input section 113 Output section 116 Storage medium

Claims (7)

[Claims] 1. A product ordering support device for supporting product ordering work, comprising: a totaling means for totaling product sales results by time zone; and forecast information on sales management factors affecting sales based on a date or a period. First storage means for storing; estimating means for estimating a coefficient of the degree of influence on sales with respect to the average sales amount for each of the sales management elements; and commodity sales prediction for each commodity for each of the sales management elements. A second storage unit for storing as coefficient information; and a product order based on the sales management element prediction information stored in the first storage unit and the product sales prediction coefficient information stored in the second storage unit. A product ordering support device comprising: a prediction unit for predicting an amount. 2. A merchandise ordering support device for assisting merchandise ordering work, comprising: a totaling means for totalizing merchandise sales results for each time zone; and predicting information on sales management factors affecting sales based on a date or a period. First storage means for storing; estimating means for estimating a coefficient of the degree of influence on sales with respect to the average sales amount for each of the sales management elements; and product sales by the sales management element for each product. A second storage unit for storing as prediction coefficient information; and a product based on the sales management element prediction information stored in the first storage unit and the product sales prediction coefficient information stored in the second storage unit. A product order support device comprising: a prediction unit for predicting an order quantity. 3. The merchandise sales prediction coefficient information is a multiplication factor with respect to an average sales amount of the merchandise in a unit period, and the first storage means stores at least calendar characteristic information including day of week information and holiday information. The second storage means stores weather characteristic information including weather conditions and temperatures, age characteristic information including at least event information and event information, and maker activity characteristic information including at least information based on advertisements and sales promotion activities of the manufacturer. Are sales forecast information by calendar characteristics including the product sales forecast coefficient information for each day of the week and holidays, and sales by weather characteristics including the product sales forecast coefficient information for each temperature zone and each weather condition for each product. Forecasting information, sales forecasting information by age characteristic including the product sales forecasting coefficient information for each event and event for each product, and the product sales forecast for each advertisement and sales promotion activity for each product Product ordering support apparatus according to claim 1 or 2, characterized in that storing a manufacturer activities characteristic different sales forecast information including information. 4. The prediction means stratifies the calendar characteristic, the weather characteristic, the age characteristic, and the maker activity characteristic, and predicts the product order quantity based on past sales performance information for each stratum. The article ordering support device according to claim 1 or 2, wherein: 5. The forecasting means according to claim 1, wherein said calendar characteristic, said weather characteristic,
The product order support device according to claim 1, wherein the age characteristics and the maker activity characteristics are stratified, and the product order quantity is predicted based on the appearance of each stratified characteristic. 6. A product ordering support method for supporting a human-based product ordering operation, wherein product sales results for each time zone are totaled, and the degree of influence on sales with respect to the average sales volume is classified for each sales management factor affecting sales. The sales management element prediction information and the sales management factor prediction information on each product for each sales management element as the influence degree coefficient, or the sales management element prediction information on each product as the influence degree coefficient A product order support method, wherein a product order quantity is predicted based on the product sales prediction coefficient information for each element. 7. A computer-readable recording medium storing a product ordering support program, the product ordering support program comprising: a totaling step of totaling product sales results by time zone; and a sales management element affecting sales. A first storage step of storing prediction information about a date or a period on the basis of a date or a period, an estimation step of estimating a coefficient of the degree of influence on sales with respect to the average sales amount for each of the sales management elements, and A second storage step of storing as product sales prediction coefficient information on each product for each sales management element or as a product sales prediction coefficient information for each sales management element for each product; and a first storage step. Based on the sales management element prediction information and the product sales prediction coefficient information stored in the second storage step. Recording medium; and a prediction step of predicting the amount of orders.