JP2021043671A - Order inquiry device and information processing system - Google Patents

Abstract

To provide an order inquiry device and information processing system that allow quick and simple checking of an order receivable amount.SOLUTION: An order inquiry device 60 comprises: an input interface; an output interface; a communication interface; and a processor. The input interface connects to an input device 68 that receives input of an inquiry condition for displaying an inquiry screen for receiving the order of target commodities. The output interface connects to an output device 69 that displays the inquiry screen. The communication interface communicates with a server that collects data. The processor 61 acquires, from the server, data indicating the settled shipment or a predicted value of the amount of order in each of customers of the target commodities based on the inquiry condition input to the input device, and displays, on the output device, the inquiry screen including a list indicating the settled shipment or the predicted value of the amount of order for each of the customers based on the data acquired from the server.SELECTED DRAWING: Figure 6

Description

Embodiments of the present invention relate to an order inquiry device and an information processing system.

Conventionally, there is a system for placing an order so as to obtain an optimum inventory amount using the inventory amount, sales amount, demand amount, etc. of products in a store. In addition, at the production site, there is a system for modifying the production plan so as to obtain the optimum inventory amount by using the inventory quantity, the sales quantity, the fluctuation characteristics of shipment, and the like. However, the producer (contractor) needs to decide whether or not to receive an order when receiving an order from an individual business partner. It is difficult for the contractor to decide whether or not to accept the order from the business partner unless the orderable quantity is known. Conventionally, the operator predicts the orderable quantity by collecting and organizing the order quantity from each business partner. For this reason, conventionally, there is a problem that it is difficult for an operator who has received an order to quickly grasp an accurate orderable quantity, and it is difficult to quickly determine whether or not an order can be received.

Japanese Unexamined Patent Publication No. 2001-229319

In order to solve the above-mentioned problems, we provide an order inquiry device and an information processing system that can quickly and easily confirm the orderable quantity.

According to the embodiment, the order inquiry device includes an input interface, an output interface, a communication interface, and a processor. The input interface is connected to an input device for inputting inquiry conditions for displaying an inquiry screen for accepting an order for a target product. The output interface is connected to an output device that displays an inquiry screen. The communication interface communicates with a server that collects data. The processor acquires data indicating either the confirmed shipment quantity or the predicted value of the order quantity at each business partner of the target product based on the inquiry condition input by the input device from the server, and based on the data acquired from the server. The output device displays an inquiry screen including a list showing the predicted values of the shipment quantity or the order quantity confirmed for each business partner.

FIG. 1 is a diagram schematically showing a configuration example of an information processing system according to an embodiment. FIG. 2 is a block diagram showing a configuration example of the data collection server according to the embodiment. FIG. 3 is a block diagram showing a configuration example of the order prediction server according to the embodiment. FIG. 4 is a block diagram showing a configuration example of the order quantity prediction system according to the embodiment. FIG. 5 is a block diagram showing a configuration example of the shipment amount allocation system according to the embodiment. FIG. 6 is a block diagram showing a configuration example of the order inquiry system according to the embodiment. FIG. 7 is a flowchart for explaining an operation example of the data collection server according to the embodiment. FIG. 8 is a flowchart for explaining an operation example of the order prediction server according to the embodiment. FIG. 9 is a flowchart for explaining an operation example of the order prediction system including the order prediction device according to the embodiment. FIG. 10 is a flowchart for explaining an operation example of the shipment amount allocation system including the shipment amount allocation device according to the embodiment. FIG. 11 is a diagram showing an example of a shipment amount allocation result by the shipment amount allocation system according to the embodiment. FIG. 12 is a diagram showing an example of a production amount and an inventory amount used for the shipment amount allocation process by the shipment amount allocation system according to the embodiment. FIG. 13 is a flowchart for explaining an operation example of the order inquiry system including the order inquiry device according to the embodiment. FIG. 14 is a diagram showing a display example of an inquiry screen displayed by the order inquiry system according to the embodiment. FIG. 15 is a diagram showing a display example of an inquiry screen displayed by the order inquiry system according to the embodiment. FIG. 16 is a diagram showing a display example of an inquiry screen displayed by the order inquiry system according to the embodiment.

Hereinafter, embodiments will be described with reference to the drawings.
First, the configuration of the information processing system 1 according to the embodiment will be described.
FIG. 1 is a diagram showing a configuration example of the information processing system 1 according to the embodiment.
In the example shown in FIG. 1, the information processing system 1 includes a POS system 11, a data collection server 12, an order forecast server (order forecast device) 13, an order quantity forecast system 14, a shipment quantity allocation system 15, and an order inquiry system 16. And so on.

The POS system 11 manages data related to products in each store (hereinafter referred to as POS data). For example, the POS system 11 is provided for each store. The POS system 11 is communicatively connected to the data collection server 12. The POS system 11 stores information such as sales data (sales data), order data, disposal data, discount data, purchase data, and inventory data for each product as POS data. The sales data includes information indicating the number of products sold for each predetermined period (for example, one day). In addition, the order data includes information indicating the number of ordered products for each predetermined period (for example, one day). In addition, the inventory data includes information indicating the inventory amount of each product for each expiration date. The POS system 11 may record information such as the number of visitors, the temperature, and the weather during a predetermined period.

The data collection server 12 is communicatively connected to the POS system 11. The data collection server 12 acquires data related to products in each store (hereinafter referred to as POS data) from the POS system 11. Further, the data collection server 12 is communicated with the order prediction server 13. The data collection server 12 and the order prediction server 13 are configured on the cloud. The data collection server 12 provides the POS data collected from the POS system 11 of each store to the order prediction server 13.

The order forecast server 13 predicts the order quantity for each business partner. In the present embodiment, the business partner is a unit (order unit) that accepts an order for a product. For example, a business partner is an individual store that places an order (order) for a product. Further, as a business partner for predicting the order quantity, a plurality of stores (such as a group of stores by category such as stores of the same series) that order products in a batch may be one business partner.

The order prediction server 13 predicts the order quantity of products for each business partner using the POS data collected by the data collection server 12 from each POS system 11. The order forecast server 13 transmits a predicted value (estimated order quantity) of the order quantity for each business partner to the data collection server 12. As a result, the data collection server 12 stores the predicted value of the order quantity of the product (the predicted value of the order quantity from each business partner) for each business partner. The order prediction server 13 is also connected to the order quantity prediction system 14. The order forecast server 13 may present a forecast value of the order quantity of the product for each business partner in response to an inquiry from the order quantity forecast system 14.

The order quantity prediction system 14 is a system for predicting the order quantity of products. The order quantity prediction system 14 is used, for example, by a producer of the product that receives an order for the product from a business partner. For example, the order quantity prediction system 14 is provided in a product production factory. The order quantity prediction system 14 acquires the predicted value of the order quantity of the product for each business partner calculated by the order forecast server 13. The order quantity prediction system 14 predicts the order quantity required of the producer of the product from the predicted value of the order quantity of the product for each store, and presents the predicted order quantity to the operator.

The shipment amount allocation system 15 performs a process of allocating the shipment amount of the product for each business partner. The shipment quantity allocation system 15 acquires information such as the estimated order quantity of each business partner calculated by the order forecast server 13 from the data collection server 12. For example, the shipment quantity allocation system 15 acquires information such as an ordered quantity that has been ordered (fixed order quantity), an order quantity that has received an order, and a prospective order quantity from an unordered business partner from the data collection server 12. The shipment quantity allocation system 15 allocates the shipment quantity of goods to each business partner based on the confirmed order quantity, the ordered quantity received the order, the estimated order quantity from the unordered business partner, and the like.

The order inquiry system 16 provides the operator with information such as order status and product allocation. For example, when the operator receives an order for a product, the order inquiry system 16 displays an inquiry screen including a list of order status and allocation amount for each business partner on a display as an output device. The order inquiry system 16 receives the order contents input by the operator using the input device with reference to the inquiry screen displayed on the display. When the operator confirms the order, the order inquiry system 16 registers the confirmed order contents in the data collection server 12.

Next, the configuration of the data collection server 12 in the information processing system 1 according to the embodiment will be described.
FIG. 2 is a block diagram showing a configuration example of the data collection server 12 in the information processing system 1 according to the embodiment.
As shown in FIG. 2, the data collection server 12 includes a processor 21, a ROM 22, a RAM 23, a data memory 24, a first communication interface (I / F) 25, a second communication interface (I / F) 26, and a third. It is equipped with a communication interface (I / F).

The processor 21 performs various processes by executing a program. The processor 21 executes a program (system program, application program or firmware) stored in the ROM 22 or the data memory 24 or the like. The processor 21 is, for example, a CPU, MPU, or DSP. Further, the processor 21 may be a combination of a plurality of CPUs, MPUs, DSPs, and the like.

The ROM 22 is a non-volatile memory used for reading data. The ROM 22 stores a program executed by the processor 21. Further, the ROM 22 stores data or various set values used by the processor 21 to perform various processes.
The RAM 23 is a memory used for reading and writing data. The RAM 23 is used as a working memory or the like for storing data temporarily used by the processor 21 for performing various processes.

The data memory 24 is a rewritable non-volatile memory for storing various types of data. The data memory 24 stores the collected data. Further, the data memory 24 may store a program executed by the processor 21 or a set value. Further, the data memory 24 may store data or the like generated by processing by the processor 21.
For example, the ROM 22 or the data memory 24 stores a program for collecting data from each POS system 11. Further, the ROM 22 or the data memory 24 stores a program for supplying the collected data to the order prediction server 13.

The first communication interface 25 is an interface for communicating with each POS system 11. For example, the first communication interface 25 is a network interface for communicating with each POS system 11 via a network.
The second communication interface 26 is an interface for communicating with the order prediction server 13. For example, the second communication interface 26 is a network interface for communicating with the order prediction server 13 provided in the network in the cloud.
The third communication interface 27 is an interface for communicating with the shipment quantity allocation system 15 and the order inquiry system 16. For example, the third communication interface 27 is a network interface for communicating with the shipment quantity allocation system 15 and the order inquiry system 16 via the network.

Next, the configuration of the order prediction server 13 in the information processing system 1 according to the embodiment will be described.
FIG. 3 is a block diagram showing a configuration example of the order prediction server 13 in the information processing system 1 according to the embodiment.
In the configuration example shown in FIG. 3, the order prediction server 13 includes a processor 31, a ROM 32, a RAM 33, a data memory 34, a first communication interface (I / F) 35, a second communication interface (I / F) 36, and a program. It has a memory 37.

The processor 31 performs various processes by executing a program. The processor 31 executes a program (system program, application program, or firmware) stored in the ROM 32, the data memory 34, or the like. The processor 31 is, for example, a CPU, MPU, or DSP. Further, the processor 31 may be a combination of a plurality of CPUs, MPUs, DSPs, and the like.

The ROM 32 is a non-volatile memory used for reading data. The ROM 32 stores a program executed by the processor 31. Further, the ROM 32 stores data or various set values used by the processor 31 to perform various processes.
The RAM 33 is a memory used for reading and writing data. The RAM 33 is used as a working memory or the like for storing data temporarily used by the processor 31 for performing various processes.

The data memory 34 is a rewritable non-volatile memory for storing various types of data. The data memory 34 stores the collected data. Further, the data memory 34 may store a program executed by the processor 31 or a set value. Further, the data memory 34 may store data or the like generated by processing by the processor 31.

The first communication interface (first interface) 35 is an interface for communicating with the data collection server 12. The second communication interface (second interface) 36 is an interface for communicating with the order quantity prediction system 14. For example, the second communication interface 36 may be a network interface for communicating with the order quantity prediction system 14 via the network.

The program memory 37 stores the prediction application programs (prediction applications) 38a to 38n for realizing the process of predicting the order quantity. The prediction apps 38a to 38n are programs for calculating an unknown order quantity (estimated order quantity) from the past sales quantity and order quantity. Each of the prediction applications 38a to 38n is realized by an algorithm set for each target of forecasting the order quantity. For example, the algorithm applied to each of the prediction applications 38a to 38n can be obtained by learning from the past POS data of the business partner (store or a plurality of stores by category) to be predicted.
The processor 31 functions as a plurality of prediction value calculators by executing each prediction application 38a to 38n stored in the program memory 37.

The order prediction server 13 may realize a plurality of prediction value calculators by executing the prediction applications 38a to 38n by a processor other than the processor 31. In this case, the order prediction server 13 is provided with one or more processors other than the processor 31 in order to execute the prediction applications 38a to 38n. Further, a processor included in the external device may execute the prediction applications 38a to 38n to realize a plurality of prediction value computers. In this case, the order prediction server 13 is provided with an interface for communicating with one or a plurality of external devices operating as a plurality of prediction value calculators. An external device that realizes a plurality of predictive value calculators can be realized by a computer having a processor, a memory, and an interface.

Further, the program memory 37 or the data memory 34 stores various programs for controlling the order quantity prediction processing using the plurality of prediction applications 38a to 38n. The processor 31 controls the order quantity prediction process by executing a program stored in a memory such as the program memory 37 or the data memory 34. For example, the program memory 37 has a program that executes a process of distributing the POS data acquired from the data collection server 12 to the prediction apps 38a to 38n. Further, the program memory 37 stores a program for setting conditions for each of the prediction applications 38a to 38n.

Next, the configuration of the order quantity prediction system 14 in the information processing system 1 according to the embodiment will be described.
FIG. 4 is a block diagram showing a configuration example of the order quantity prediction system 14 in the information processing system 1 according to the embodiment.
In the configuration example shown in FIG. 4, the order quantity prediction system 14 includes an order prediction device 40, an input device 48, and an output device 49.
Further, the order prediction device 40 includes a processor 41, a ROM 42, a RAM 43, a data memory 44, a communication interface (I / F) 45, an input interface (I / F) 46, and an output interface (I / F) 47. Further, the order prediction device 40 is connected to the input device 48 via the input interface 46. Further, the order prediction device 40 is connected to the output device 49 via the output interface 47.

The processor 41 performs various processes by executing a program. The processor 41 executes a program (system program, application program, firmware, etc.) stored in the ROM 42, the data memory 44, or the like. The processor 41 is, for example, a CPU, MPU, or DSP. Further, the processor 41 may be a combination of a plurality of CPUs, MPUs, DSPs, and the like.

The ROM 42 is a non-volatile memory used for reading data. The ROM 42 stores a program executed by the processor 41. Further, the ROM 42 stores data or various set values used by the processor 41 to perform various processes.
The RAM 43 is a memory used for reading and writing data. The RAM 43 is used as a working memory or the like for storing data temporarily used by the processor 41 for performing various processes.

The data memory 44 is a rewritable non-volatile memory for storing various types of data. The data memory 44 stores the collected data. Further, the data memory 44 may store a program executed by the processor 41 or a set value. Further, the data memory 44 may store data or the like generated by processing by the processor 41.

The communication interface (third interface) 45 is an interface for communicating with the order prediction server 13. For example, the communication interface 45 may be a network interface for communicating with the order prediction server 13 via the network.

The input interface 46 is an interface for connecting the input device 48. The input device 48 is composed of, for example, a keyboard, a numeric keypad, a mouse, a touch panel, and the like. The input device 48 receives an instruction input from the operator and notifies the processor 41. Further, the touch panel as the input device 48 may be integrally formed with the display as the output device 49. In this case, the input device 48 and the output device 49 are composed of a display with a touch panel or the like.

The output interface 47 is an interface for connecting the output device 49. The output device 49 is a device for notifying the operator or the manager of information such as a prediction result of the order quantity. For example, the output device 49 is a display device such as a display or an audio output device such as a speaker. Further, the output device 49 may be a device that displays a prediction result of the order quantity or the like on a terminal device including a display or the like that can be viewed by an operator or an administrator.

Further, the processor 41 executes a process of calculating a predicted value of the order quantity by executing a program stored in a memory such as a data memory 44. For example, the data memory 44 stores a program (order quantity calculation program) that calculates a predicted value of the order quantity under the designated order condition. The processor 41 calculates the estimated order quantity of the product based on the estimated order quantity of the product acquired from the order forecast server 13 by the order quantity calculation program. Further, the data memory 44 also stores a program for accepting an order condition input by the operator to the input device 48, a program for outputting the expected order quantity to the output device 49, and the like.

Next, the configuration of the shipment amount allocation system 15 in the information processing system 1 according to the embodiment will be described.
FIG. 5 is a block diagram showing a configuration example of the shipment amount allocation system 15 in the information processing system 1 according to the embodiment.
In the configuration example shown in FIG. 5, the shipment quantity allocation system 15 includes a shipment quantity allocation device 50, an input device 58, and an output device 59.
Further, the shipping amount allocation device 50 includes a processor 51, a ROM 52, a RAM 53, a data memory 54, a communication interface (I / F) 55, an input interface (I / F) 56, and an output interface (I / F) 57. Further, the shipping amount allocation device 50 is connected to the input device 58 via the input interface 56. Further, the shipping amount allocation device 50 is connected to the output device 59 via the output interface 57.

The processor 51 performs various processes by executing a program. The processor 51 executes a program (system program, application program, firmware, etc.) stored in the ROM 52, the data memory 54, or the like. The processor 51 is, for example, a CPU, MPU, or DSP. Further, the processor 51 may be a combination of a plurality of CPUs, MPUs, DSPs, and the like.

The ROM 52 is a non-volatile memory used for reading data. The ROM 52 stores a program executed by the processor 51. Further, the ROM 52 stores data or various set values used by the processor 51 to perform various processes.
The RAM 53 is a memory used for reading and writing data. The RAM 53 is used as a working memory or the like for storing data temporarily used by the processor 51 for performing various processes.

The data memory 54 is a rewritable non-volatile memory for storing various types of data. The data memory 54 stores the collected data. Further, the data memory 54 may store a program or a set value executed by the processor 51. For example, the processor 51 executes a process of calculating a shipment amount allocation by executing a program stored in a memory such as a data memory 54. Further, the data memory 54 may store data or the like generated by processing by the processor 51.

The communication interface 55 is an interface for communicating with the data collection server 12. For example, the communication interface 55 may be a network interface for communicating with the data collection server 12 via the network.

The input interface 56 is an interface for connecting the input device 58. The input device 58 includes, for example, a keyboard, a numeric keypad, a mouse, a touch panel, and the like. The input device 58 receives an instruction input from the operator and notifies the processor 51. Further, the touch panel as the input device 58 may be integrally formed with the display as the output device 59. In this case, the input device 58 and the output device 59 are composed of a display with a touch panel or the like.

The output interface 57 is an interface for connecting the output device 59. The output device 59 is a device for notifying the operator or the manager of information such as the allocation result of the shipping amount. For example, the output device 59 is a display device such as a display or an audio output device such as a speaker. Further, the output device 59 may be a device that displays a shipping amount allocation result or the like on a terminal device including a display or the like that can be viewed by an operator or an administrator.

Next, the configuration of the order inquiry system 16 in the information processing system 1 according to the embodiment will be described.
FIG. 6 is a block diagram showing a configuration example of the order inquiry system 16 in the information processing system 1 according to the embodiment.
In the configuration example shown in FIG. 6, the order inquiry system 16 includes an order inquiry device 60, an input device 68, and an output device 69.
Further, the order inquiry device 60 includes a processor 61, a ROM 62, a RAM 63, a data memory 64, a communication interface (I / F) 65, an input interface (I / F) 66, and an output interface (I / F) 67. Further, the order inquiry device 60 is connected to the input device 68 via the input interface 66. Further, the order inquiry device 60 is connected to the output device 69 via the output interface 67.

The processor 61 performs various processes by executing a program. The processor 61 executes a program (system program, application program, firmware, etc.) stored in the ROM 62, the data memory 64, or the like. The processor 61 is, for example, a CPU, MPU, or DSP. Further, the processor 61 may be a combination of a plurality of CPUs, MPUs, DSPs, and the like.

The ROM 62 is a non-volatile memory used for reading data. The ROM 62 stores a program executed by the processor 61. Further, the ROM 62 stores data or various set values used by the processor 61 to perform various processes.
The RAM 63 is a memory used for reading and writing data. The RAM 63 is used as a working memory or the like for storing data temporarily used by the processor 61 for performing various processes.

The data memory 64 is a rewritable non-volatile memory for storing various types of data. The data memory 64 stores the collected data. Further, the data memory 64 may store a program or a set value executed by the processor 61. For example, the processor 61 executes a process of calculating a shipment amount allocation by executing a program stored in a memory such as a data memory 64. Further, the data memory 64 may store data or the like generated by processing by the processor 61.

The communication interface 65 is an interface for communicating with the data collection server 12. For example, the communication interface 65 may be a network interface for communicating with the data collection server 12 via the network.

The input interface 66 is an interface for connecting the input device 68. The input device 68 is composed of, for example, a keyboard, a numeric keypad, a mouse, a touch panel, and the like. The input device 68 receives an instruction input from the operator and notifies the processor 61. Further, the touch panel as the input device 68 may be integrally formed with the display as the output device 69. In this case, the input device 68 and the output device 69 are composed of a display with a touch panel or the like.

The output interface 67 is an interface for connecting the output device 69. The output device 69 is a device for notifying the operator or the manager of information such as the allocation result of the shipping amount. For example, the output device 69 is a display device such as a display or an audio output device such as a speaker. Further, the output device 69 may be a device that displays a shipping amount allocation result or the like on a terminal device including a display or the like that can be viewed by an operator or an administrator.

Hereinafter, the operation of the information processing system 1 according to the embodiment will be described.
First, the operation of the data collection server 12 according to the embodiment will be described.
FIG. 7 is a flowchart for explaining an operation example of the data collection server 12 according to the embodiment.
The data collection server 12 performs a process of collecting data from each system, storing the collected data, and transmitting the collected data to another system.

First, the data collection server 12 has a function of collecting POS data from each POS system 11.
When the preset data collection time comes (ACT11, YES), the processor 21 of the data collection server 12 collects data from the POS system 11 (ACT12). The processor 21 accesses the POS system 11 via the first communication interface 25 at the data collection time. For example, the data collection time may be set every predetermined time (predetermined cycle) or may be a designated time (for example, a predetermined time every day). Further, the data collection time may be set for each POS system 11.

The processor 21 accesses the POS system 11 of each business partner and collects POS data including sales data and order data of the products of each business partner to be ordered forecast. The processor 21 stores the POS data collected from the POS system 11 in the data memory 24 or the RAM 23. The POS data is data including sales data and ordering data of each product. The sales data includes information indicating the sales date and the number of sales for each predetermined period (for example, one day). Further, the order data is data including the order date, the number of orders, and the delivery date for each predetermined period (for example, one day). As a result, the data memory 24 stores sales data and ordering data of each product for each store managed by each POS system 11.

Further, the data collection server 12 has a function of supplying the collected POS data to the order prediction server 13 and causing the order prediction server 13 to learn the order quantity prediction.
The processor 21 of the data collection server 12 determines whether or not to transmit the data for learning the algorithm for predicting the order quantity of the product to the order prediction server 13 (ACT 13). When the learning of the order quantity prediction is executed (ACT13, YES), the processor 21 provides the POS data collected from the POS system 11 to the order prediction server 13 (ACT14). That is, the processor 21 reads the POS data for learning the algorithm for predicting the order quantity of the product from the data memory 24 and supplies it to the order prediction server 13. For example, the processor 21 transmits POS data including product sales data, order data, and the like to the order forecast server 13 for each business partner whose order quantity is predicted. Further, the processor 21 supplies POS data in response to a request from the order prediction server 13. Further, the processor 21 may transmit the POS data of a predetermined business partner to the order prediction server 13 at predetermined intervals.

Further, the data collection server 12 has a function of causing the shipment amount allocation system to execute the allocation of the shipment amount by providing the expected order amount of each business partner.
The processor 21 of the data collection server 12 acquires the expected order quantity (estimated value of the order quantity) for each business partner for executing the allocation process in the shipment quantity allocation system 15 from the order forecast server 13 (ACT6). The processor 21 requests the order forecast server 13 for the estimated order quantity of each business partner used for calculating the allocation process requested from the shipment quantity allocation system 15 via the communication interface. The processor 2 acquires the estimated order quantity of each business partner calculated by the order forecast server 13 in response to the request. For example, when the processor 21 acquires the expected order quantity of the store A as a business partner, the processor 21 specifies the store A and requests the estimated order quantity from the order prediction server 13. As a result, the processor 21 can acquire the estimated order quantity of the store A calculated by the order prediction server 13.

When the estimated order quantity of each business partner is acquired from the order forecast server 13, the processor 21 transmits data for allocation calculation including the estimated order quantity of each business partner to the shipping quantity allocation system 15 (ACT7). After transmitting the data for the allocation calculation, the processor 21 of the data collection server 12 acquires the result of the allocation process from the shipment amount allocation system 15 (ACT8). The processor 21 saves the acquired allocation processing result in the data memory 24 or the like.

In addition, the data collection server 12 provides the order inquiry system 16 with an order inquiry screen indicating the orderable quantity and the like, and has a function of registering the order contents confirmed by the order inquiry system 16.
The processor 21 of the data collection server 12 is in a state of being able to communicate with the order inquiry system 16 by the third communication interface 27. The processor 21 receives a request for an order inquiry screen from the order inquiry system 16 via the third communication interface 27 (ACT9). Upon receiving an inquiry about the order quantity of a certain product (ACT9, YES), the processor 21 transmits data for displaying a list of the order quantity of the product to the order inquiry system 16.

Further, when the list of the order quantity is transmitted, the processor 21 accepts the order contents input by the order inquiry system 16 (ACT 10). When an order is input by the order inquiry system 16 (ACT10, YES), the processor 21 acquires information indicating the input order content and stores it as order information (ACT12).

Next, the operation of the order prediction server 13 according to the embodiment will be described.
FIG. 8 is a flowchart for explaining an operation example of the order prediction server 13 according to the embodiment.
The order prediction server 13 learns an algorithm for predicting an order quantity (order quantity) based on POS data from the data collection server 12. The algorithm for predicting the order quantity is applied to the prediction app 38. The prediction application 38 is a program for predicting the order quantity of products at each business partner (each store or a store by category). The order prediction server 13 learns an algorithm for predicting the order quantity of products to be applied to the prediction application 38 from the past POS data (sales data and order data) of each business partner. Further, the order forecast server 13 provides the data collection server 12 or the order quantity prediction system 14 with the predicted value (estimated order quantity) of the order quantity from each business partner calculated by using the forecast application 38.

That is, the processor 31 of the order prediction server 13 executes learning of the algorithm applied to the prediction applications 38a to 38n at a predetermined timing. For example, the processor 31 executes a learning process of an algorithm applied to the prediction application 38 at a predetermined cycle (for example, every day, every three days, every week).

When executing the learning of the order quantity prediction (ACT21, YES), the processor 31 acquires the POS data collected from the POS system 11 of each store by the data collection server 12 (ACT22). For example, the processor 31 acquires POS data for a predetermined period (for example, one year) at each store as an ordering source to be learned from the data collection server 12. The processor 31 stores the POS data acquired from the data collection server 12 in the data memory 34.

The processor 31 sets a prediction application 38 that predicts the order quantity of products for each ordering source (store or a plurality of stores by category). The processor 31 distributes the POS data of each ordering source to each prediction application 38 set for each ordering source (ACT23). For example, when the prediction application 38a is used to learn the algorithm for predicting the order quantity for the product a in the store A, the processor 31 distributes the POS data (sales data and order data) related to the product a in the store A to the prediction application 38a. .. Similarly, the processor 31 distributes the POS data to the other prediction applications 38b to 38n for the products of other ordering sources.

The processor 31 allocates a temporary storage area used by each prediction application 38 in the RAM 33, the data memory 34, or the memory 37. The processor 31 stores the POS data distributed to each prediction application 38 in the temporary storage area reserved for each prediction application 38. The processor 31 executes the learning process using the POS data stored in the temporary storage area for each prediction application 38. The processor 31 holds information (learning state) obtained in the process of learning processing for each prediction application 38 in a memory in a temporary storage area. The processor 31 uses the algorithm obtained at the end of the learning process in each prediction application 38 as the learning result.

For example, the prediction application 38 executed by the processor 31 can use an RNN (Recurrent Neural Network) as a learning process. In this case, in the learning process of the prediction application 38, the structure of the intermediate layer may be RSTM (Long Short Term Memory).

As a specific example, the current date is assumed to be June 1, 2019. The prediction application 38a first sells the a product of store A for the past 30 days (2018/6/1: 9, 6/2: 3, 6/3: 7, ..., 2018/6. / 30: 6) is entered. The prediction application 38a executes the learning process with the number of orders placed on July 1, 2018 as the correct answer. As a result, the prediction application 38a obtains an algorithm for calculating the number of orders for 2018/7/1 from the number of sales for 2018/6/1 to 6/30 as a learning result. Secondly, the prediction application 38a shifts by one day and executes learning with the number of sales of 2018/6/6 / 2-2018 / 7/1 as input data and the number of orders of 2018/7/2 as the correct answer.

In this way, the prediction application 38a shifts the sales data and the ordering data by one day and repeatedly executes the learning. For example, the prediction application 38a uses the number of sales of 2019/5 / 1-2019 / 5/30 as input data, and continues until the number of orders received on May 31, 2019 is learned as the correct answer. As a result, the prediction application 38a can learn the algorithm using the total sales data and ordering data for the past year. Such learning is repeated, for example, a predetermined number of times (for example, 500 times). Further, the learning may be executed not a predetermined number of times but until the error from the correct answer becomes smaller than the predetermined threshold value.

The algorithm obtained by such learning processing is set in the prediction application 38 associated with the ordering party. Further, the algorithm obtained as the learning result may be stored as setting information for the prediction application in association with each ordering party. Through the above learning, an algorithm applied to the prediction application 38 that predicts the order quantity of products at the ordering source (each store or a plurality of stores in a specific category) is generated from the past POS data.

Further, the processor 31 of the order prediction server 13 receives a request for the expected order quantity (predicted value of the order quantity). For example, the processor 31 receives a request for an estimated order quantity (estimated value of the order quantity) from the data collection server 12 that can communicate via the first communication interface 35. Further, the processor 31 receives a request for an estimated order quantity (estimated value of the order quantity) from the order quantity prediction system 14 capable of communicating via the second communication interface 36. The processor 31 receives the request for the expected order quantity and the forecast conditions (commodity, date, ordering source (customer), etc.) for calculating the estimated order quantity. Here, the ordering source (customer) for which the estimated order quantity is required may be one or a plurality.

When a request for a prospective order quantity is received (ACT26, YES), the processor 31 identifies the ordering source and the goods based on the forecast conditions acquired with the request. The processor 31 determines the prediction application 38 that predicts the order quantity of the product at the ordering source specified by the prediction condition. When the algorithm for predicting the order quantity is stored as the setting information, the processor 31 applies the setting information corresponding to the ordering source to the prediction application 38. The processor 31 calculates the predicted value (estimated order quantity) of the order quantity of the product on the date specified by the forecast condition by using the forecast application 38 according to the forecast condition (ACT 27). When the estimated order quantity is calculated, the processor 31 transmits the calculated estimated order quantity to the requester (ACT 28).

Next, the operation of the order quantity prediction system 14 according to the embodiment will be described.
FIG. 9 is a flowchart for explaining an operation example of the order quantity prediction system 14 according to the embodiment.
The order quantity prediction system 14 acquires the predicted value of the order quantity from the order forecast server 13 and predicts the order quantity under the specified conditions. The order quantity prediction system 14 is assumed to be used by the producer of the product. Therefore, the order quantity prediction system 14 can predict not only the order quantity from a specific store but also the total order quantity from all the stores accepting orders for products.

First, in the order quantity prediction system 14, the operator inputs conditions such as a product, an ordering source, and a date for which the order quantity forecast is to be known by the input device 48 as prediction conditions. The processor 41 of the order forecasting device 40 in the order quantity forecasting system 14 receives (acquires) the forecasting condition of the order quantity input to the input device 48 via the input I / F 46 (ACT 31).

When the order quantity forecast condition is acquired, the processor 41 requests the order forecast server 13 for the forecast value of the order quantity of each ordering source for calculating the order quantity (ACT 32). For example, the processor 41 sends an order quantity forecast to the order forecast server 13 together with an order condition (information corresponding to the order quantity forecast condition) indicating a product, an order source, a date, and the like. In response to such a request, the order forecast server 13 calculates a predicted value of the order quantity of the designated product at the designated ordering source, and supplies the estimated order quantity to the order quantity prediction system 14.

Further, when predicting the order quantity, which is the total order quantity of a certain product at a plurality of stores, the processor 41 sends an order condition to the order forecast server 13 so that all the stores are the ordering sources. As a specific example, store A, store B, and store C are designated as ordering sources. When each prediction application is set to predict the order quantity of each store, the order prediction server 13 calculates the predicted value (estimated order quantity) of each order quantity of the A store, the B store, and the C store. .. In this case, the order forecast server 13 sends the estimated order quantity of the A store, the estimated order quantity of the B store, and the estimated order quantity of the C store to the order quantity forecast system 14.

That is, after requesting the estimated order quantity, the processor 41 of the order quantity forecasting system 14 acquires the estimated order quantity based on the ordering conditions specified from the order forecast server 13 (ACT 33). When the estimated order quantity is acquired, the processor 41 calculates the estimated order quantity according to the forecast condition of the order quantity specified by the operator from the acquired expected order quantity (ACT34). For example, when receiving the estimated order quantity from each of the A store, the B store, and the C store, the processor 41 calculates the predicted value (estimated order quantity) of the total order quantity by totaling the estimated order quantity of each store. .. When the total estimated order quantity of the three stores is received, the processor 41 may use the estimated order quantity of the total U of the three stores as the predicted value (estimated order quantity) of the total order quantity.

When the estimated order quantity is calculated, the processor 41 outputs the calculated information indicating the estimated order quantity to the output device 49 via the output I / F 47 (ACT35). The output device 49 notifies the operator of information indicating the expected order quantity output from the order prediction device 40. For example, if the output device 49 is a display, the display as the output device 49 displays information indicating the estimated order quantity calculated by the order prediction device 40. Further, the output device 49 may transmit information indicating the expected order quantity to the user terminal of the operator or the administrator set in advance.

In the above-mentioned example, the order prediction server 13 has been described as calculating the predicted value (estimated order amount) of the order amount in each store. However, the order prediction server 13 may collectively predict the order quantity of products at a plurality of stores. For example, each store having a similar sales tendency may be grouped as one ordering source, a plurality of stores may be grouped as one ordering source for each region, or a plurality of stores whose producers are the ordering source may be grouped together. It may be put together as an ordering source.

For example, the order quantity of the product may be predicted with the three stores A, B, and C as one ordering source. In this case, the order quantity may be predicted by using the POS data (sales data and order data) for three stores as the POS data at one ordering source. That is, learning is executed using the total sales data at the three stores A, B, and C and the total order data at the three stores. As a result of such learning processing, an algorithm for predicting the order quantity of products from the three stores A, B, and C as the ordering source can be obtained. By executing a prediction application using such an algorithm, it is possible to realize a prediction application that can accurately predict the total order quantity from a plurality of stores.

Next, the operation of the shipment amount allocation system 15 according to the embodiment will be described.
FIG. 10 is a flowchart for explaining an operation example of the shipment amount allocation system 15 according to the embodiment.
The shipment quantity allocation system 15 calculates the allocation of the shipment quantity to a plurality of business partners based on the order quantity, the expected order quantity (order quantity), and the like. The shipment amount allocation system 15 is assumed to be used by the producer (shipper) of the product. For example, the shipping amount allocation system 15 can instruct the production site to perform shipping work by calculating the allocation of the shipping amount to each business partner even if there is a business partner who has not yet placed an order.

First, in the shipment quantity allocation system 15, the operator inputs information such as a product and a date for which the shipment quantity allocation is desired to be known by the input device 58 under allocation conditions. The processor 51 of the shipment amount allocation device 50 in the shipment amount allocation system 15 receives (acquires) the allocation condition input to the input device 58 via the input I / F 56 (ACT 41).

When the shipment quantity allocation condition is acquired, the processor 51 acquires data for calculating the shipment quantity allocation from the data collection server 12 (ACT 42). For example, the processor 51 sends a request for data for allocation calculation together with the allocation condition to the data collection server 12. The data collection server 12 collects the above-mentioned data in response to the request, and supplies the data for the allocation calculation to the shipment amount allocation system 15. As a result, the processor 51 of the shipment quantity allocation system 15 acquires the data for the allocation calculation based on the specified allocation condition.

In the present embodiment, the data for allocation calculation includes information such as production amount information, inventory amount information, ordered amount information that has been ordered, order amount information that is being accepted, order amount forecast information, and shipping record information.
The production amount information is information indicating the amount of goods to be produced (harvested) on a designated date (the day when allocation is performed). The inventory amount information is information indicating the expected inventory amount on the designated date. The processor 51 acquires production amount information, inventory amount information, shipping record information, and the like as inventory management information. For example, the processor 51 generates an inventory management list (inventory management table) based on a designated date and stores it in the data memory 54.

FIG. 11 is an example of an inventory management table showing a production amount, an inventory amount, a shipping amount, and the like.
In the inventory management table shown in FIG. 11, the real number or forecast of the production amount, the real number or the forecast of the inventory quantity, the real number or the forecast of the shipment quantity, the real number or the forecast of the remaining quantity, and the like are shown for each date. In the example shown in FIG. 11, inventory management information as of 6/6/11: 29 is shown. Therefore, in the inventory management table shown in FIG. 11, the production amount and inventory amount of 6/5 and 6/6 are real numbers, the shipment amount and remaining number of 6/5 are real numbers, and the other values are expected values. It becomes.

The ordered order information that has been ordered is information that indicates an order quantity (contracted order quantity) that has been determined in advance with a business partner for reasons such as a bargain sale or an event. What is the order information that is being accepted? This is information indicating the quantity of orders received by EDI (transaction-dedicated system), FAX, e-mail, telephone, or the like. The order quantity forecast information is information indicating the predicted value (estimated order quantity) of the order quantity (order quantity) from the business partner (unordered business partner) who has not received the order yet. The estimated order quantity is acquired from the order forecast server 13 as the estimated order quantity.

When the data for the allocation calculation is acquired, the processor 51 sets the shipping amount to be allocated to each business partner according to a preset priority. In the processing flow shown in FIG. 10, the allocation of the shipping amount to each business partner is set in the order of the contracted order, the accepted order, and the predicted value. However, the priority for determining the allocation to each business partner may be appropriately set according to the operation mode.

FIG. 12 is a diagram showing an example of a list of shipment amounts including the allocation result of the shipment amount. Hereinafter, the procedure for allocating the shipping amount to each business partner will be described with reference to the example shown in FIG.
First, the processor 51 acquires the contracted order quantity for which the contract has already been confirmed from the data for allocation calculation. The processor 51 gives the highest priority to allocate the contracted order quantity to the supplier of the contracted order quantity as the shipping quantity as it is (ACT43). In the example shown in FIG. 12, the customer code receives a contracted order from the customer of W100112. Therefore, the processor 51 allocates the contracted order quantity “1000” to the business partner of W100112.

Next, the processor 51 acquires the order information of the order being accepted from the data for the allocation calculation. The processor 51 allocates a shipping amount to each business partner who has received an order (ACT44). For example, the processor 51 allocates the shipping amount according to the order amount to each business partner in the order of the largest order amount among the order information being accepted. If there is a remaining number, the processor 51 allocates the order quantity as it is to each business partner as the shipping quantity.

In the example shown in FIG. 12, orders from a business partner whose business partner code is LC03002 have a larger order volume (weekly average, monthly average) than orders from other business partners. Therefore, the processor 51 first allocates the order quantity as the shipping quantity as it is to the business partner whose business partner code is LC03002. In the example shown in FIG. 12, the order quantity is 700 for the order from the supplier whose customer code is W100111, which has the next largest order quantity. For this order quantity of 700, there is a good chance of a remaining number. Therefore, the processor 51 allocates the order quantity as the shipping quantity as it is to the business partner whose business partner code is W100111. Further, in the example shown in FIG. 12, the remaining number is sufficiently expected even for 400, which is the order quantity from the customer whose customer code is S400201. Therefore, the processor 51 allocates the order quantity as the shipping quantity as it is to the business partner whose business partner code is S400201.

Next, the processor 51 determines from the data for allocation calculation whether there is an unordered business partner for whom an order has not yet arrived (ACT45). When there are no unordered business partners (ACT45, NO), the processor 61 outputs the allocation result of the shipment amount to each business partner (ACT50). For example, the processor 61 supplies the allocation result of the shipment amount to the data collection server 12, and stores the allocation result in the data collection server 12.

Further, when there is an unordered business partner (ACT45, YES), the processor 51 acquires the expected order quantity (expected order amount) of one business partner from the unordered business partner (ACT46). For example, the processor 51 selects one supplier in descending order of the estimated order quantity, and acquires the expected order quantity of the selected supplier. In the example shown in FIG. 12, the processor 51 first selects the customer whose customer code is LC03001 and whose predicted value of the order quantity is "1200".

When one prospective order quantity is acquired, the processor 51 adjusts the prospective order quantity based on the previous shipment quantity of the business partner (ACT47). For example, when the previous shipment amount is larger than the average value (weekly average or monthly average) of the business partner, the processor 51 may reduce the expected order amount according to the degree of the previous shipment amount. Further, when the previous shipment amount is smaller than the average value of the business partner, the processor 51 may increase the expected order amount according to the degree of the previous shipment amount being small.

In the example shown in FIG. 12, since the previous shipment amount of the customer whose customer code is LC03001 is larger than the average value (weekly average, monthly average), the predicted value of the order amount is reduced from "1200" to "1100". There is. Further, in the example shown in FIG. 12, since the previous shipment amount of the customer whose customer code is LC400202 is not significantly different from the weekly average, the predicted value of the order amount is left as "300". The degree (ratio) of adjusting the estimated order quantity according to the difference between the previous shipment quantity and the average value may be appropriately set according to the operation mode.

The processor 51 also adjusts the expected order quantity according to the total remaining number (ACT48). For example, the processor 51 allocates the estimated order quantity as the shipping quantity as it is when the estimated order quantity does not exceed the remaining number. Further, when the estimated order quantity exceeds the remaining quantity, the processor 51 subtracts the estimated order quantity and allocates the shipping quantity adjusted to the quantity that can be covered by the remaining quantity. In the example shown in FIG. 12, the customer of LC03001 sets the shipping amount to "1100" because "1100", which is the predicted value of the order amount adjusted based on the previous shipping amount, does not exceed the remaining number. Further, in the example shown in FIG. 12, the customer of LC400202 sets the shipping amount to "300" because the predicted value of the order amount "300" does not exceed the remaining number.

When the allocation of the shipment amount to all the unordered business partners is completed (ACT49, YES), the processor 61 outputs the allocation result of the shipment amount to each business partner (ACT50). For example, the processor 61 supplies the allocation result of the shipment amount to the data collection server 12, and stores the allocation result in the data collection server 12. Further, the processor 61 may display the result of allocation of the shipment amount to each business partner as shown in FIG. 12 on the display as the output device 69.

As described above, the shipment quantity allocation device acquires information such as the contracted order quantity, the order quantity being accepted, the predicted value of the order quantity, the shipment quantity, and the remaining quantity from the data collection server based on the allocation conditions. .. The shipment allocation device allocates the shipment amount of the target product to each business partner by adjusting the predicted value of the order amount by giving priority to the contracted order amount and the received order amount. As a result, according to the shipping amount allocating device according to the embodiment, it is possible to allocate the shipping amount of each business partner for each product several days ahead to each business partner. As a result, at the production site, it is possible to efficiently carry out shipping preparation work such as preparing a case for shipping products for each business partner.

Next, the operation of the order inquiry system 16 according to the embodiment will be described.
FIG. 13 is a flowchart for explaining an operation example of the order inquiry system 16 according to the embodiment.
The order inquiry system 16 is a system for the operator to confirm whether or not an order from a business partner can be received. Orders from business partners are not limited to any particular form as long as they can be received by the operator. For example, an order from a business partner shall be received by the operator by means such as EDI, e-mail, FAX, and telephone. When the operator receives an order from a business partner, the operator causes the order inquiry system 16 to display an inquiry screen in order to determine whether or not to confirm the order.

The operator who receives the order from the business partner inputs information such as the ordered product and the date by the input device 68 of the order inquiry system 16 on the inquiry condition. The processor 61 of the order inquiry device 60 in the order inquiry system 16 receives (acquires) the allocation condition input to the input device 68 via the input I / F 66 (ACT61).

When the inquiry condition is acquired, the processor 61 acquires data for displaying the inquiry screen from the data collection server 12 (ACT62). For example, the processor 61 sends a data request for displaying a list for inquiry on the inquiry screen together with the inquiry condition to the data collection server 12. The data collection server 12 collects data for displaying the inquiry screen in response to a request, and supplies the collected data to the order inquiry system 16. As a result, the processor 61 of the order inquiry system 16 acquires data for displaying the inquiry screen based on the specified inquiry condition.

Upon acquiring the data for displaying the inquiry screen, the processor 61 displays the inquiry screen on the display as the output device 49 (ACT63). The inquiry screen displays information for the operator to determine whether to confirm the order. The operator performs the process of inputting and confirming the order quantity according to the order from the business partner while referring to the inquiry screen. For example, on the inquiry screen, the confirmed order quantity, the shipment quantity allocated by the allocation process, the predicted value of the order quantity, the actual order quantity, the inventory quantity (remaining quantity), and the like are displayed.

FIG. 14 is a display example of the inquiry screen displayed by the order inquiry system 16.
In the display example shown in FIG. 14, the list 71 and the order input screen 72 are displayed on the inquiry screen. In the list 71, under the specified inquiry conditions (goods and dates), the input field 81 for inquiry, the display field 82 of the confirmed shipment amount, the display field 83 of the allocation amount, and the predicted value of the order amount are shown for each business partner. Display column 84, display column 85 of the actually received order quantity, and the like are displayed.
The input field 81 for inquiry is a field for inputting the order quantity for each business partner. When the operator selects the input field on the input device 68, the input screen 72 for inquiry is displayed. The input screen 72 is a window (screen) for inputting an order quantity in the input field selected in the list 71.

In the example shown in FIG. 14, the input fields 81a to 81f are fields for inputting the order quantity for each business partner. The operator selects and instructs the input field corresponding to the business partner who wants to input the order quantity. However, the input fields 81a, 81b, 81d, and 81e corresponding to the business partner whose shipment amount is fixed may not be selectable, or may be selectable in order to change the confirmed shipment amount. Is also good. Further, the input field 81g displays the total value of the allocated amount when the order amount input in the input fields 81a to 81f is reflected. The input field 81h displays the remaining number when the order quantity entered in the input fields 81a to 81f is reflected.

The confirmed shipping amount display column 82 displays the contracted (fixed) shipping amount according to the actual order for each business partner. The allocation amount display field 83 indicates the shipment amount allocated to each business partner by the allocation process by the shipment amount allocation system 15. The display column 84 of the predicted value of the order quantity indicates the order quantity (order quantity) for each business partner predicted by the order forecast server 13. The display column 85 of the order quantity actually received indicates the order quantity actually received from the business partner. The data collection server 12 collects the above-mentioned data and supplies it to the order inquiry system 16 as data for displaying the inquiry screen.

In the state where the inquiry screen is displayed, the processor 61 monitors the selection of the input field for any of the business partners (ACT64). When any of the input fields is selected, the processor 61 accepts the input of the order contents in the selected input field (ACT65). For example, the processor 61 displays the order input screen 72 on the display as the output device 69, and accepts the input to the order input screen 72 using the input device 68. For example, FIG. 14 shows an example in which an order input screen 72 for inputting an order quantity is displayed in the input field 81c when the input field 81c of the list 71 is instructed to be selected.

The processor 61 receives a calculation instruction with the input order quantity in a state where the order quantity and the like are input (ACT66). In the example shown in FIG. 14, on the order input screen 72, the order quantity display field 91, the calculation button 92, the back button 93, and the order confirmation button 94 are displayed. The display field 91 displays the order quantity input by the input device 68. The calculation button 92 is a button for instructing the calculation with the input order quantity. The back button 93 is a button instructing to return the display of the inquiry screen to the immediately preceding state. The order confirmation button 94 is a button for instructing confirmation of the input order quantity.

The processor 61 determines that the calculation instruction has been input by the instruction to the calculation button (ACT66, YES). When the calculation instruction is input, the processor 61 updates the list based on the recalculated calculation result in the input order content (ACT67).
FIG. 15 is a diagram showing an example of an inquiry screen that is updated when the calculation button 92 is instructed on the order input screen 72 shown in FIG.
According to the example shown in FIG. 15, the order quantity input on the order input screen 72 is displayed in the input field 81c. Further, in the input field 81g, the total value of the allocation of the shipping amount updated by applying the input order amount is displayed. Further, in the input field 81h, the remaining number updated by applying the input order quantity is displayed.

Further, the processor 61 performs a process for confirming the order with the order contents input in response to the input to the order confirmation button 94. If the order cannot be received with the input order contents (ACT68, NO), the processor 61 cannot confirm the order contents. In this case, the processor 61 outputs to the output device 49 that the order content cannot be confirmed, prompts the re-input of the order content, and returns to the ACT 65.

Further, when the order is confirmed with the input order contents (ACT69, YES), the processor 61 confirms the input order contents and displays a list 71 reflecting the confirmed order contents (ACT69). ..
FIG. 16 is a diagram showing an example of an inquiry screen that is updated when the order confirmation button 94 is instructed on the inquiry screen shown in FIG.
According to the example shown in FIG. 16, the order quantity, the total value, and the remaining number entered in the input field in the display example of FIG. 15 are displayed as the confirmed shipping quantity.

If there is another order after the order is confirmed (ACT70, NO), the processor 61 re-executes the above-described processing in response to the operator's input. When the inquiry is terminated (ACT70, YES), the processor 61 transmits information indicating the confirmed order content to the data collection server 12 and stores the information in the data collection server 12 (ACT71).

As described above, the order inquiry device according to the embodiment acquires the predicted value of the shipment amount or the order amount for each business partner from the data collection server based on the inquiry condition instructed by the operator. The order inquiry device displays on the output device an inquiry screen including a list showing the predicted value of the shipment amount or the order amount for each business partner based on the data acquired from the data collection server.

As a result, the operator who receives the order from the business partner can confirm the predicted value of the shipping amount or the order amount for each business partner, and can easily grasp the orderable amount. As a result, the operator can quickly make an appropriate judgment based on the situation of the entire transaction for the order from the business partner, and can process the order efficiently.

In the above-described embodiment, the case where the program executed by the processor is stored in the memory in the apparatus has been described. However, the program executed by the processor may be downloaded from the network to the device or installed from the storage medium to the device. The storage medium may be a storage medium that can store a program such as a CD-ROM and can be read by the device. Further, the functions obtained by installation or download in advance may be realized in cooperation with the OS (operating system) or the like inside the device.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

1 ... Information processing system, 11 ... POS system, 12 ... Data collection server, 13 ... Order prediction server (order prediction device), 14 ... Order quantity prediction system, 15 ... Shipment quantity allocation system, 16 ... Order inquiry system, 21 ... Processor, 24 ... Data memory, 25 ... 1st communication interface, 26 ... 2nd communication interface, 50 ... Shipment amount allocation device, 51 ... Processor, 54 ... Data memory, 55 ... Communication interface, 56 ... Input interface, 57 ... Output Interface, 58 ... Input device, 59 ... Output device, 60 ... Order inquiry device, 61 ... Processor, 64 ... Data memory, 65 ... Communication interface, 66 ... Input interface, 67 ... Output interface, 68 ... Input device, 69 ... Output apparatus.

Claims (5)

An input interface that connects to an input device for inputting inquiry conditions that displays an inquiry screen for accepting orders for the target product,
An output interface connected to an output device that displays the inquiry screen,
A communication interface that communicates with the server that collects data,
Based on the inquiry condition input by the input device, data indicating either the fixed shipment amount or the predicted value of the order amount at each business partner of the target product is acquired from the server, and the data acquired from the server is acquired. A processor that displays an inquiry screen on the output device, which includes a list showing the predicted values of the shipping amount or the order amount determined for each business partner.
An order inquiry device equipped with. The processor accepts the input of the order quantity to the business partner who displayed the predicted value of the order quantity in the list of the inquiry screen.
The order inquiry device according to claim 1. When the processor selects a business partner who has displayed a predicted value of the order quantity, the processor causes an output device to display an order input screen for inputting an order quantity from the business partner, and with respect to the order input screen. Accept the input order quantity,
The order inquiry device according to claim 2. When the processor is instructed to recalculate based on the order quantity input by the input device, the processor displays an inquiry screen updated with information reflecting the input order quantity.
The order inquiry device according to claim 1. An information processing system that includes a server and an order inquiry device.
The server
The first communication interface that communicates with the order forecasting device that predicts the order quantity for each business partner,
A second communication interface that communicates with the order inquiry device,
The data for displaying the inquiry screen including the data indicating either the fixed shipment amount to each business partner or the predicted value of the order amount by the order forecasting device based on the inquiry condition specified by the order inquiry device. Has a processor to supply to the order inquiry device,
The order inquiry device is
An input interface that connects to an input device,
The output interface that connects to the output device,
A third communication interface that communicates with the server
Data indicating either the fixed shipment quantity or the predicted value of the order quantity for each business partner based on the inquiry condition input by the input device is acquired from the server, and the business partner is based on the data acquired from the server. It has a processor that displays an inquiry screen including a list showing a predicted value of a shipment amount or an order amount determined for each on the output device.
Information processing system.

Images