JPH08329351A - Pos automatic ordering system - Google Patents

Abstract

PURPOSE: To predict a more accurate sales estimated quantity and automatically order articles by using predicted weather, rainfall probability, and past actual result data. CONSTITUTION: This system is equipped with input means (keyboard 1-2-8 and bar code reader 1-2-9) and an order quantity calculating means (CPU 1-2-1) and calculates the order quantity of articles by the order quantity calculating means when data required to order the articles are inputted through the data input means and automatically orders the articles to an order destination (wholesale center 3) through a telephone network 2. This system is provided with an actual result storage means (memory 1-2-7) which stores past monthly/weather-classified sales actual result data by articles; and the name of articles to be ordered, the months and days of sales, and weather and rainfall probability expected on the days of sales are inputted through the data input means and the order quantity calculating means calculates an order quantity by predicting the sales estimated quantity of the articles according to the monthly/ weather-classified sales actual result data on the articles stored in the actual result storage means and the data inputted through the data input means and automatically orders the articles to the order destination through the telephone network 2.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a POS automatic ordering system for predicting a sales amount of a product and automatically ordering the purchase of the product to an ordering party such as a wholesale center via a telephone network.

[0002]

2. Description of the Related Art In stores such as supermarkets that handle products such as fresh foods and fresh flowers whose sales volume is greatly affected by the moon, weather, etc., it is necessary to minimize the number of unsold products for efficient management. is necessary. Therefore, it is required to predict the sales volume of daily products as accurately as possible and place an order at a wholesaler or other ordering party.

Conventionally, with respect to this type of technology, Japanese Patent Laid-Open No.
There is one disclosed in Japanese Patent No. 268396. This technique inputs the sales quantity of today's products, the sales time, and the weather of the next day, and predicts the sales amount of the products of the next day by fuzzy reasoning from these data to determine the order quantity. Orders are automatically placed through the telephone network to the wholesale center (automatic ordering), the wholesale center requests the delivery center for delivery, and the ordered products are delivered to a predetermined store.

[0004]

However, as described above, the conventional expected sales amount is the number of products sold today,
It is decided by fuzzy reasoning based on the sales time and the weather of the next day. The next day's weather is just inputting 3 distinctions of clear, rainy, and cloudy. If the weather forecast goes wrong, the expected sales volume and actual sales volume will be greatly different, and a fuzzy controller for performing fuzzy reasoning will be available. There was a problem that it became necessary and complicated.

The present invention has been made in view of the above points, and predicts a more accurate expected sales amount and automatically sells a product by using expected weather and precipitation probability and past actual data. The purpose is to provide an POS automatic ordering system for ordering.

[0006]

In order to solve the above-mentioned problems, the present invention comprises a data input means and an order quantity calculation means, and by inputting data necessary for ordering a product by the data input means, An POS automatic ordering system for calculating an order quantity of a product by an order quantity calculating means and automatically placing an order to a supplier via a telephone line network, and stores past sales data by product / month / by weather. The order name calculation means is input to the result storage means by inputting the product name to be ordered, the date of sale, the weather and precipitation probability expected on the sale date as data from the data input means. The expected sales volume of the product is predicted from the stored monthly / weather sales data of the product and the data input by the data input means to calculate the order quantity, and the ordering party automatically makes an order through the telephone network. To order And it features.

[0007]

According to the present invention, by adopting the above-mentioned constitution, the past sales data of each product by month / by weather and the expected weather such as fine, cloudy, rain (snow) etc. on the sale day of the product. Since the forecasted sales volume of products is predicted from the probability of precipitation and the order quantity is determined, the order quantity can be calculated easily and accurately compared to the conventional method of predicting the order quantity using fuzzy reasoning using weather forecast data. It will be possible to decide.

[0008]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a diagram showing a configuration example of the POS automatic ordering system of the present invention. As shown in the figure, this POS automatic ordering system is used in a store 1 such as a supermarket,
2 is connected to the telephone line network 2 via the main unit 1-1 of the telephone device, and the POS device 1-2 automatically places an order to the wholesale center 3 through the telephone line network 2. The wholesale center 3 receives an order from the store 1 such as a supermarket, outputs a command to the delivery center 4, orders the item, and delivers it to the store 1.

The main device 1-1 is a device for performing office line processing and terminal switching connection, etc., and is connected to the POS device 1-2 and terminals 1-3, 1-4 such as a telephone and a fax machine, and to the outside is a station. It is connected to the telephone line network 2 via a line.

The POS device 1-2 includes a CPU (Central Processing Unit) 1-2-1, a data transmission section 1-2-2, a dial transmission section 1-2-3, and an interface 1-2-4. , Display 1-2-5, printer 1-2-6, memory 1-2-7,
Bar corder 1-2-8 and keyboard 1-2-9
And so on.

The CPU 1-2-1 controls the entire operation by outputting the control command to each part and the calculation process of the accounting process and totaling. The data transmission unit 1-2-2 transmits a product name and quantity (quantity) of the ordered product as data to the wholesale center 3 in response to a command from the CPU 1-2-1, and the dial transmission unit 1-2. -3
Sends the telephone number (or fax number) of the wholesale center 3. The interface 1-2-4 is for connecting to the main device 1-1.

The display 1-2-5 displays necessary information for accounting processing and totaling, and if necessary, the accounting processing and totaling can be output on paper from the printer 1-2-6. The memory 1-2-7 stores files (details will be described later) such as programs and past sales data by product / month / by weather. The bar code reader 1-2-8 is an input device for inputting data at the time of accounting for sales goods, and the keyboard 1-2-9 is for operating the POS device 1-2. Is.

Next, the order quantity calculation method will be described. FIG. 2 is a diagram showing an example of the structure of a past month / weather sales result data file for each product. As shown in the figure, this file is provided for each product name a, and the past sales record is for normal order quantity b, and for each month c, corresponding to weather conditions such as fine d, cloudy e, and rain f. It is recorded as a percentage (%) of the sales of.

When the expected weather and the probability of precipitation are input from the key board 1-2-9 based on the product name and the weather forecast of the sale date (usually the next day), the POS device 1-2 causes the POS device 1-2 to return to the past. Sales by month / weather sales by product, the sales result of the corresponding weather in the corresponding month of the product in the data file is obtained, and the order quantity is calculated from the following formula. Order quantity (%) = 100-{(100-corresponding sales record)
/ 100} × probability of precipitation

For example, if the applicable day is February, the expected weather is rain, and the probability of precipitation is 20%, the order quantity (%) = 100-{(100-30) / 100}.
X20 = 86, and 86% of the normal order quantity n is automatically ordered to the wholesale center 3. The above calculation and ordering are performed by the CPU 1-2-1 executing the program (omitted) stored in the memory 1-2-7, and the order slip is the printer 1-2.
It is output from -6.

The wholesale center 3 files and records the orders from each store, and at the same time, orders the delivery center 4 to deliver the ordered products. The delivery center 4 delivers the ordered product to a predetermined store 1 according to the instruction.

As described above, in this embodiment, the past sales data of each product by month / by weather, and the expected weather such as fine, cloudy, rain (snow) on the sales day of the product are recorded. Since the expected sales volume of the product is predicted from the rainfall probability and the order quantity is determined, the order quantity can be calculated easily and accurately compared to the conventional forecast data using fuzzy reasoning. It will be possible to decide.

[0018]

As described above, according to the present invention, the following excellent effects are expected. Monthly / weather sales data for each product, forecasted sales amount of the product based on expected weather such as fine weather, cloudy weather, rain (snow), etc. and probability of precipitation, and order quantity Therefore, it is possible to determine the order quantity easily and accurately as compared with the conventional method of predicting the order quantity by fuzzy reasoning using the weather forecast data.

[Brief description of drawings]

FIG. 1 is a diagram showing a configuration example of a POS automatic ordering system of the present invention.

FIG. 2 is a diagram showing a configuration example of a past monthly / weather-by-weather sales performance data file.

[Explanation of symbols]

 1 Store 1-1 Main Device 1-2 POS Device 1-2-1 CPU (Central Processing Unit) 1-2-2 Data Transmitter 1-2-3 Dial Transmitter 1-2-4 Interface 1 -2-5 Display 1-2-6 Printer 1-2-7 Memory 1-2-8 Bar-code reader 1-2-9 Keyboard 2 Telephone line network 3 Wholesale center 4 Distribution center

Claims (1)

[Claims] 1. A telephone line comprising a data input means and an order quantity calculation means, wherein the order quantity calculation means calculates the order quantity of the goods by inputting the data necessary for ordering the goods by the data input means. An automatic point-of-sale ordering system for automatically placing an order to a supplier via a network, which is provided with a result storage means for storing past sales data by month / by weather, which is obtained from the data input means. The name of the product to be ordered, the date of sale, the weather and the precipitation probability expected on the date of sale, are input as data, and the order quantity calculation means sells the product by month / weather stored in the result storage means. A feature is that the expected sales amount of the product is predicted from the actual result data and the data input by the data input unit to calculate the order amount, and the order is automatically placed to the order destination via the telephone line network. POS Automatic ordering system.