JP2018032272A - Determination device, determination method, and determination program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a determination device, a determination method and a determination program for appropriately determining timing of providing a user with a service.SOLUTION: A determination device 100 comprises an acquisition unit 131 and a determination unit 133. The acquisition unit 131 acquires information about the weight of a commodity detected by a predetermined sensor in a living space of a user. The determination unit 133 determines timing for providing the user with a service related to the commodity on the basis of information about change in the weight of the commodity acquired by the acquisition unit 131.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a determination device, a determination method, and a determination program.

  2. Description of the Related Art Conventionally, a technique for determining a timing for providing a service to a user based on various information has been provided. For example, there is provided a technique for predicting the date of a product to be purchased next time by a purchaser based on history information including purchased product and product purchase date information.

JP 2012-14467 A

  However, it is difficult for the above-described conventional technology to appropriately determine the timing for providing a service to the user. For example, the service may be provided at a timing that is not appropriate for the user when the user performs an action different from the past action pattern only based on the history information including the purchased product and the product purchase date information. In other words, it is difficult to provide a service at an appropriate timing for the user at that time only based on the past history.

  The present application has been made in view of the above, and an object thereof is to provide a determination device, a determination method, and a determination program that appropriately determine the timing of providing a service to a user.

  The determination device according to the present application is based on an acquisition unit that acquires information on the weight of a product detected by a predetermined sensor in a user's living space, and information on a change in the weight of the product acquired by the acquisition unit, And a determination unit that determines a timing for providing a service related to the product to the user.

  According to one aspect of the embodiment, there is an effect that it is possible to appropriately determine the timing of providing a service to the user.

FIG. 1 is a diagram illustrating an example of a determination process according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the determination device according to the embodiment. FIG. 3 is a diagram illustrating an example of a user information storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of the detection information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the spatial information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a product information storage unit according to the embodiment. FIG. 7 is a flowchart illustrating an example of the determination process according to the embodiment. FIG. 8 is a diagram illustrating an example of estimation of the weight of the container according to the embodiment. FIG. 9 is a diagram illustrating an example of estimation of evaluation of a user's product according to the embodiment. FIG. 10 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the determination apparatus.

  Hereinafter, a determination apparatus, a determination method, and a mode for executing a determination program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the determination device, the determination method, and the determination program according to the present application are not limited to the embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

(Embodiment)
[1. Decision process)
First, the determination process according to the embodiment will be described. FIG. 1 is a diagram illustrating an example of a determination process according to the embodiment. The determination apparatus 100 illustrated in FIG. 1 provides a determination service that determines a timing for providing a service related to a product to a user based on information related to the weight of the product detected by a predetermined sensor. In FIG. 1, for example, a space identified by a space ID “SP1” that is a unit of a condominium or the like (see FIG. 5, hereinafter may be referred to as “dwelling unit SP1”) is a living space (hereinafter simply “space”). As an example).

  In the example of FIG. 1, a weight sensor (hereinafter sometimes simply referred to as “sensor SN1”) identified by the sensor ID “SN1” is provided in the dwelling unit SP1, and information detected by the sensor SN1. (Hereinafter, also referred to as “detection information”), the case where the timing for providing the service to the user is determined is shown. In the example of FIG. 1, the weight of the product is detected by the sensor SN1, and the timing for providing the product purchase service to the user is determined based on the change in the weight. In the example of FIG. 1, a product purchase service is provided for a user who lives in the dwelling unit SP1 and is identified by the user ID “U1” (hereinafter may be referred to as “user U1”). The case where the timing to perform is determined is shown.

  As shown in FIG. 1, the determination system 1 according to the embodiment includes a sensor SN1 that is a weight sensor, a commercial transaction device 50, and a determination device 100. The determination device 100 is connected to the sensor SN1 and the commercial transaction device 50 through a predetermined network so as to be able to communicate with each other. Note that the determination system 1 illustrated in FIG. 1 may include a plurality of sensors SN1, a plurality of commercial transaction devices 50, and a plurality of determination devices 100. The determination system 1 is not limited to the weight sensor, and may include various sensors such as an infrared sensor as long as the weight of the product can be detected.

  In the example illustrated in FIG. 1, the sensor SN <b> 1 is a weight sensor that detects the weight of a mounted product (object). In addition, the sensor SN1 transmits detection information to the determination apparatus 100 via a predetermined network. That is, the sensor SN1 provided in the dwelling unit SP1 can communicate with the determination device 100. Note that “communicable with the determination device 100” here includes communication with the determination device 100 via another device. In addition, in the example of FIG. 1, in order to illustrate sensor SN1, although the case where sensor SN1 is earth | grounded on the table in dwelling unit SP1 is shown, if sensor SN1 can detect the weight of goods, various aspects will be shown. May be provided. For example, the sensor SN1 may be provided in a refrigerator in the dwelling unit SP1, or may be provided in any position where a product that is a weight detection target is installed, such as a side pocket provided in the refrigerator door. Good. For example, the sensor SN1 may be provided integrally with a refrigerator (see FIG. 5) that is an IoT device identified by the ID “FR1”.

  The commercial transaction device 50 is an information processing device used for providing a commercial transaction service. For example, the commercial transaction apparatus 50 is an apparatus used by a provider that obtains information from the determination apparatus 100 and provides a service for delivering a product to a user's residence. In the example of FIG. 1, the provider using the commercial transaction device 50 obtains information from the determination device 100 using the commercial transaction device 50, and provides a service for delivering the product from the distribution base DB1 to the dwelling unit SP1 of the user U1 based on the information. provide. Note that the service provided by the provider using the commercial transaction device 50 is not limited to the electronic commercial transaction service and can be any type of service as long as the product can be delivered to the user U1 based on the information from the determination device 100. May be.

  The determination apparatus 100 is an information processing apparatus that determines a timing for providing a service related to a product to the user based on information related to the weight of the product detected by a predetermined sensor in the user's living space. Moreover, when the determination apparatus 100 provides a commercial transaction service, the commercial transaction apparatus 50 and the determination apparatus 100 may be integrated.

  Hereinafter, an example of the determination process will be described with reference to FIG. FIG. 1 shows a case where the product whose weight is to be detected is ketchup A. The ketchup A is a product identified by the product ID “GD1” (hereinafter also referred to as “product GD1”), and is a product that the user U1 regularly purchases. In FIG. 1, the product GD1 is described as the products GD1-1 to GD1-3 according to the decrease in the content of the product GD1. That is, in FIG. 1, it shows that time has passed in order of goods GD1-1, GD1-2, GD1-3. Note that the products GD1-1, GD1-2, and GD1-3 are the same product GD1 (ketchup A). Moreover, when demonstrating goods GD1-1-GD1-3 without distinction, it describes as goods GD1 and ketchup A.

  Further, in FIG. 1, the dwelling units SP1 are described as dwelling units SP1-1 to SP1-3 according to the timing at which the weight of the product GD1 is detected. That is, in FIG. 1, it shows that time has passed in order of dwelling units SP1-1, SP1-2, and SP1-3. The dwelling units SP1-1, SP1-2, and SP1-3 are the same dwelling unit SP1. Moreover, when demonstrating dwelling unit SP1-1-SP1-3 without distinction, it describes as dwelling unit SP1.

  Hereinafter, the determination device 100 will be described as the determination devices 100-1 to 100-3 in accordance with the update of information by detecting the weight of the product GD1. That is, FIG. 1 shows that time has passed in the order of the determination devices 100-1, 100-2, and 100-3. The determination apparatuses 100-1 to 100-3 are the same determination apparatus 100. Hereinafter, the determination devices 100-1 to 100-3 will be referred to as the determination device 100 when they are described without particular distinction. Hereinafter, the detection information storage unit 122 will be described as detection information storage units 122-1 to 122-3 in accordance with the update of information by detecting the weight of the product GD 1. That is, FIG. 1 shows that time has passed in the order of the detection information storage units 122-1, 122-2, and 122-3. The detection information storage units 122-1 to 122-3 are the same detection information storage unit 122. Hereinafter, the detection information storage units 122-1 to 122-3 will be referred to as the detection information storage unit 122 when they are not particularly distinguished.

  As shown in FIG. 1, in the dwelling unit SP1-1, the user U1 places the product GD1-1 on the sensor SN1 (step S11). Thereby, the sensor SN1 detects the weight of the placed product GD1-1. Thereafter, the sensor SN1 transmits information relating to the detection identified by the detection ID “D1” (hereinafter also referred to as “detection information D1”) to the determination device 100 (step S12). For example, the sensor SN1 transmits detection information D1 indicating that the detected weight is 180 g to the determination device 100.

  The determination device 100-1 that has acquired the detection information D1 from the sensor SN1 adds a product related to the detection information D1 (step S13). The product corresponding to the detection information D1 may be estimated from the detection information D1, or may be based on an input by the user U1. In the example of FIG. 1, the determination apparatus 100 estimates that the product corresponding to the detection information D1 is ketchup A (product GD1) based on the information of “ketchup A” input by the user U1. For example, the determination device 100 determines that the product corresponding to the detection information D1 is ketchup A (product GD1) based on information about “ketchup A” input by the user U1 via the input interface provided in the sensor SN1. It may be estimated. Further, the determination apparatus 100 estimates that the product corresponding to the detection information D1 is ketchup A (product GD1) based on information related to “ketchup A” input to the IoT device used by the user U1, for example, a smartphone. Also good. Note that the above is an example, and the determination apparatus 100 may perform estimation based on any information as long as it can be estimated that the product corresponding to the detection information D1 is ketchup A (product GD1).

  In the example of FIG. 1, the determination device 100-1 has the weight of ketchup A “180 (g)” as detected by the detection ID “D1” as shown in the detection information storage unit 122-1. Is added to the detection information storage unit 122.

  Thereafter, the user U1 uses the ketchup A that is the product GD1-1 placed on the sensor SN1 (step S14). Thereafter, as shown in FIG. 1, in the dwelling unit SP1-2, the user U1 places the used product GD1-2 on the sensor SN1 in step S14 (step S15). Accordingly, the sensor SN1 detects the weight of the placed product GD1-2. Thereafter, the sensor SN1 transmits information relating to the detection identified by the detection ID “D2” (hereinafter also referred to as “detection information D2”) to the determination device 100 (step S16).

  The determination apparatus 100 that has acquired the detection information D2 from the sensor SN1 updates the information based on the detection information D2 (step S17). In the example of FIG. 1, the determination device 100-2 has the weight of ketchup A “110 (g)” as detected by the detection ID “D2” as shown in the detection information storage unit 122-2. Is added to the detection information storage unit 122. The determination apparatus 100-2 uses the latest ketchup A weight “110 (g)” or the weight of the container related to ketchup A stored in the product information storage unit 124 (hereinafter also referred to as “container weight”) “20. Based on (g) ”and the threshold value“ 40 (g) ”, it is determined whether or not to perform the ketchup A purchase process, and it is determined that the service is not provided, but the illustration is omitted.

  Thereafter, the user U1 uses the ketchup A which is the product GD1-2 placed on the sensor SN1 (step S18). Thereafter, as shown in FIG. 1, in the dwelling unit SP1-3, the user U1 places the used product GD1-3 on the sensor SN1 in step S18 (step S19). Thereby, the sensor SN1 detects the weight of the placed product GD1-3. Thereafter, the sensor SN1 transmits information related to the detection identified by the detection ID “D3” (hereinafter, also referred to as “detection information D3”) to the determination device 100 (step S20).

  The determination apparatus 100 that has acquired the detection information D3 from the sensor SN1 updates the information based on the detection information D3 (step S21). In the example of FIG. 1, the determination device 100-3 has the weight of ketchup A “50 (g)” as detected by the detection ID “D3” as shown in the detection information storage unit 122-3. Is added to the detection information storage unit 122.

  Here, the determination apparatus 100-3 uses the latest weight “50 (g)” of the ketchup A, the container weight “20 (g)” regarding the ketchup A stored in the product information storage unit 124, and the threshold “40 (g). ) ”, It is determined whether to perform ketchup A purchase processing. The container weight “20 (g)” is the container weight of ketchup A, and the threshold value “40 (g)” indicates a threshold value used for determining the timing of providing the service.

  The determination device 100-3 in which the weight of the latest ketchup A stored in the detection information storage unit 122-3 is “50 (g)” is ketchup for the user U1 based on the determination information CN1 in FIG. It is determined that the purchase process of A is performed (step S22). For example, as shown in the determination information CN1 in FIG. 1, the determination apparatus 100-3 compares the difference between the latest weight of ketchup A and the container weight of ketchup A with a threshold value, thereby ketchup the user U1. It is determined that the purchase process of A is performed. Specifically, as shown in the determination information CN1 in FIG. 1, the determining device 100-3 has a difference between the latest weight of ketchup A and the container weight of ketchup A is “30 (= 50-20)”. Since the threshold value is “40” or less, it is determined to perform the ketchup A purchase process for the user U1.

  Therefore, the determination apparatus 100-3 transmits information (purchase information) indicating that the user U1 purchases ketchup A to the commercial transaction apparatus 50 (step S23). For example, the determination apparatus 100-3 may transmit the product ID “GD1”, which is information for identifying the ketchup A, and the user ID “U1”, which is information for identifying the user who purchases, to the commercial transaction apparatus 50. Further, for example, the determination device 100-3 may transmit the address of the user U1 to the commercial transaction device 50.

  Thereafter, the provider using the commercial transaction apparatus 50 delivers ketchup A from the distribution base DB1 to the address “address A” (see FIG. 5) of the residence SP1 of the user U1 (step S24).

  As described above, the determination apparatus 100 estimates the remaining amount of ketchup A used by the user U1 based on the weight of the ketchup A detected by the sensor SN1. In addition, the determination apparatus 100 determines an appropriate timing for the user U1 to purchase ketchup A by comparing the estimated remaining amount of ketchup A with a predetermined threshold (for example, 40 (g)). Thereby, the determination apparatus 100 can determine appropriately the timing which provides a service to a user. In the above-described example, the case where the determination device 100 performs the purchase process is shown. However, the service provided by the determination device 100 is not limited to the purchase process, and can be provided to the user based on information on the weight of the product. Any service may be used. For example, the determination apparatus 100 may determine the timing for providing information that prompts the purchase of a product based on information on the weight of the product. For example, when the weight of the detected product reaches a predetermined threshold, the determination apparatus 100 may provide information that prompts the user to purchase the product. In the above example, the case where the determination device 100 acquires information from the sensor SN1 and performs the determination process is illustrated, but the determination device 100 may have the function of the sensor SN1. In this case, for example, the determination device 100 and the sensor SN1 may be integrated, and the determination device 100 may be disposed in the residence SP1.

  In the example described above, the determination apparatus 100 has shown the case where the product detected by the sensor SN1 is estimated based on the input of the user U1, but is not limited to the input of the user U1, and various types of information depending on available information. The product may be estimated using or a product may be estimated by combining various information. For example, the determination apparatus 100 may estimate the product detected by the sensor SN1 based on the purchase history of the user UI. For example, in the determination apparatus 100, the delivery date / time of the product based on the purchase history of the user UI to the residence SP1 of the user U1 and the date / time when the product was detected by the sensor SN1 are within a predetermined range (for example, within one hour). In this case, the product delivered to the residence SP1 of the user U1 may be estimated as the product detected by the sensor SN1. Further, for example, when a plurality of products are delivered to the residence SP1 of the user U1 at the delivery date and time described above, the determination device 100 determines the weight of the product first detected by the sensor SN1 among the plurality of products, and a predetermined value. A product satisfying a predetermined condition by the unused weight acquired by the means may be estimated as a product detected by the sensor SN1. In the case of delivery, a product in which the weight of the product first detected by the sensor SN1 and the unused weight acquired by a predetermined means are detected by the sensor SN1 among the plurality of products. May be estimated. Note that the determination device 100 may acquire the weight of each product when it is not used by various means such as acquiring product information provided by a provider that provides each product from an external information processing device. Moreover, the determination apparatus 100 may store information on the weight of each product when it is not used in the storage unit 120 (see FIG. 2).

  In addition, for example, the determination system 1 is not limited to the sensor SN1 described above, and may use various sensors as appropriate to detect information on the weight of the product. For example, the determination system 1 may detect information related to the weight of the product using an infrared sensor. For example, the determination system 1 may detect information related to the weight of the product stored in the refrigerator using an infrared sensor provided in the refrigerator disposed in the residence SP1. For example, the determination system 1 may detect information on the weight of the product by using infrared sensors to radiate infrared rays to a predetermined height in the refrigerator and by the presence or absence of reflection. For example, the determination system 1 may detect the frequency of use of the detected product by using infrared sensors to emit infrared light at a predetermined height in the refrigerator and the number of changes in the presence or absence of reflection. Moreover, the determination apparatus 100 may detect the weight of the product based on the use frequency of the product detected by the infrared sensor and the average amount used for the product once. For example, when the use frequency of the product detected by the infrared sensor is three times and the average amount used for one time of the product is “50 g”, the determining apparatus 100 uses “150 g ( = 50 × 3 g) ”. Further, when the determination apparatus 100 estimates that the weight before use of the product is “400 g” and the consumption amount of the product is “150 g” as described above, the weight of the remaining products is set to “250 g (= 400 -150 g) ".

[2. Configuration of decision device]
Next, the configuration of the determination apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the determination apparatus 100 according to the embodiment. As illustrated in FIG. 2, the determination device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The determination device 100 includes an input unit (for example, a keyboard and a mouse) that acquires various operations from an administrator of the determination device 100 and a display unit (for example, a liquid crystal display) for displaying various types of information. May be.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to the network by wire or wirelessly, and transmits / receives information to / from the IoT device such as the commercial transaction device 50 and the weight sensor SN1, the terminal device used by the user, and the commercial transaction device 50. The communication unit 110 is not limited to the above, and may transmit and receive information to and from various external devices.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 2, the storage unit 120 according to the embodiment includes a user information storage unit 121, a detection information storage unit 122, a spatial information storage unit 123, and a product information storage unit 124.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various types of information regarding the user. For example, the user information storage unit 121 stores various types of information such as information on accounts used for settlement of commercial transactions on the network and user attribute information for each user. FIG. 3 shows an example of the user information storage unit 121 according to the embodiment. The user information storage unit 121 illustrated in FIG. 3 includes items such as “user ID”, “terminal ID”, and “gender”.

  “User ID” indicates identification information for identifying a user. “Terminal ID” indicates identification information of a terminal device used by a corresponding user. “Gender” indicates the gender of the corresponding user.

  For example, in the example shown in FIG. 3, the user (user U1) identified by the user ID “U1” uses the terminal device identified by the terminal ID “TM1”, and the gender is “female”. Indicates. Further, for example, in the example illustrated in FIG. 3, the user identified by the user ID “U2” uses the terminal device identified by the terminal ID “TM2”, and the gender is “male”. .

  The user information storage unit 121 is not limited to the above, and may store various types of information according to the purpose. For example, the user information storage unit 121 may store various attribute information without being limited to gender. For example, the user information storage unit 121 may store information on demographic attributes of users and information on psychographic attributes. For example, the user information storage unit 121 may store information such as age, home, work place, interest / interest, name, family structure, income, and the like. Further, for example, the user information storage unit 121 may store information related to an account used by a user for payment for product purchase. For example, the user information storage unit 121 may store information on the limit amount. For example, the user information storage unit 121 may store information related to past payment amounts.

(Detection information storage unit 122)
The detection information storage unit 122 according to the embodiment stores various types of information related to detection. For example, the detection information storage unit 122 stores various types of information related to detection by various sensors such as the sensor SN1. FIG. 4 is a diagram illustrating an example of the detection information storage unit according to the embodiment. The detection information storage unit 122 illustrated in FIG. 4 includes items such as “sensor ID”, “product ID”, “product”, “detection ID”, “weight (g)”, and “date and time”.

  “Sensor ID” indicates information for identifying a sensor. “Product ID” indicates information for identifying a product. “Product” indicates a product identified by the corresponding product ID. “Detection ID” indicates information for identifying detection by the sensor for the corresponding product. “Weight (g)” indicates the weight acquired by the detection identified by the corresponding detection ID. “Date and time” indicates the date and time when the corresponding detection was performed. In the example of FIG. 4, information stored in “date and time” is illustrated by a symbol such as “date and time DA”, but “date and time” includes “August 5, 2016 17:55:43” and the like. It is assumed that the specific date and time is stored.

  For example, in the example illustrated in FIG. 4, the product “ketchup A” identified by the product ID “GD1” is represented by the date / time DA, the date / time DB, and the date / time DC by the sensor (sensor SN1) identified by the sensor ID “SN1”. Indicates that it was detected three times. For example, the detection identified by the detection ID “D1” at the date and time DA indicates that the weight of ketchup A is detected as “180 (g)”. Further, for example, it indicates that the weight of the ketchup A is detected as “110 (g)” by the detection identified by the detection ID “D2” in the date / time DB. Further, for example, it indicates that the weight of ketchup A is detected as “50 (g)” by the detection identified by the detection ID “D3” at the date and time DC.

  The detection information storage unit 122 is not limited to the above, and may store various information according to the purpose.

(Spatial information storage unit 123)
The spatial information storage unit 123 according to the embodiment stores various types of information regarding the space. In addition, the spatial information storage unit 123 stores information related to IoT devices including sensors provided in the space. FIG. 5 is a diagram illustrating an example of the spatial information storage unit according to the embodiment. In FIG. 5, an example of the information regarding the space memorize | stored in the space information storage part 123 is shown. As illustrated in FIG. 5, the space information storage unit 123 includes items such as “space ID”, “address”, “user”, “IoT device 1”, and “IoT device 2” as information about the space.

  “Space ID” indicates identification information for identifying a space. For example, the space identified by the space ID “SP1” corresponds to the dwelling unit SP1 shown in the example of FIG. “Address” indicates information regarding the address of the real estate corresponding to the space identified by the space ID. “User” indicates a user who lives in the space identified by the corresponding space ID. In addition, items such as “ID” and “type” are included in “IoT device 1” and “IoT device 2”. Although only “IoT device 1” and “IoT device 2” are illustrated, for example, when there are eight IoT devices provided in the corresponding space, IoT devices “IoT device 1” to “IoT device 8”. Information about the device is stored. That is, when there are eight IoT devices provided in the corresponding space, information regarding the eight IoT devices provided in the space is stored. “ID” of “IoT device 1” or “IoT device 2” indicates identification information for identifying the IoT device provided in the space. The “type” of “IoT device 1” or “IoT device 2” indicates the type of the IoT device provided in the space. For example, “ID” of “IoT device 1” indicates identification information for identifying the IoT device provided in the space.

  For example, in the example illustrated in FIG. 5, the space (dwelling unit SP1) identified by the space ID “SP1” indicates that the address is “address A” and the user U1 resides. Further, it is shown that the dwelling unit SP1 is provided with an IoT device (sensor SN1) that is a type “weight sensor” and an IoT device (refrigerator FR1) that is a type “refrigerator”. In order to simplify the description, the sensor ID “SN1” and the ID “SN1” that identifies the IoT device are the same. However, the sensor ID for identifying the sensor and the sensor are identified as the IoT device. The ID may be different.

  The spatial information storage unit 123 is not limited to the above, and may store various information according to the purpose. For example, when the services that can be used by each IoT device are different, the spatial information storage unit 123 may store information related to the service used for each IoT device in association with each other.

(Product information storage unit 124)
The product information storage unit 124 according to the embodiment stores various types of information related to products. For example, the product information storage unit 124 stores various types of information related to the content of the product. For example, various types of information related to the content of the product may be acquired from the manufacturer of the product. FIG. 6 is a diagram illustrating an example of a product information storage unit according to the embodiment. The product information storage unit 124 illustrated in FIG. 6 includes items such as “product ID”, “product”, “content (g)”, “container (g)”, and “threshold (g)”.

  “Product ID” indicates information for identifying a product. “Product” indicates a product identified by the corresponding product ID. “Internal capacity (g)” indicates the internal capacity of the product identified by the corresponding product ID. Further, “container (g)” indicates the container weight of the product identified by the corresponding product ID. The “threshold value (g)” indicates a threshold value used for determining the timing for providing the service related to the product identified by the corresponding product ID.

  For example, in the example shown in FIG. 6, the product identified by the product ID “GD1” is ketchup A, the content is “160 (g)”, the container weight is “20 (g)”, It indicates that the threshold is “40 (g)”. For example, in the example shown in FIG. 6, the product identified by the product ID “GD2” is wine A, the content is “800 (g)”, and the container weight is “200 (g)”. Yes, indicating that the threshold is “300 (g)”.

  The product information storage unit 124 is not limited to the above, and may store various information according to the purpose. For example, the product information storage unit 124 may store information related to the price of the product. For example, the product information storage unit 124 may store information regarding the date and time when the product was purchased or the price of the product. In addition, the “content (g)” and “container (g)” regarding each product may be numerical values estimated by an estimation process described later, or may be numerical values acquired from an external information processing apparatus. .

(Control unit 130)
Returning to the description of FIG. 2, the control unit 130 is a controller and is stored in a storage device inside the determination apparatus 100 by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. Various programs (corresponding to an example of a determination program) are implemented by using the RAM as a work area. The control unit 130 is a controller, and is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 2, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a determination unit 133, and a transmission unit 134, and realizes or executes functions and operations of the determination process described below. . Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 2, and may be another configuration as long as the determination process described later is performed.

(Acquisition part 131)
The acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires various types of information from an external information processing apparatus. For example, the acquisition unit 131 acquires various information from various sensors. For example, the acquisition unit 131 acquires information related to the weight of a product detected by a predetermined sensor in the user's living space. For example, the acquisition unit 131 acquires information related to the weight of products that the user regularly purchases. For example, the acquisition unit 131 acquires information related to the weight of products consumed by the user. For example, the acquisition unit 131 acquires the first information related to the weight of the product at the first time point and the second information related to the weight of the product at the second time point after the first time point.

(Estimation unit 132)
The estimation unit 132 estimates various information. For example, the estimation unit 132 estimates the product for which the weight is detected based on the information regarding the weight of the product acquired by the acquisition unit 131. For example, the estimation unit 132 estimates the product for which the weight is detected based on the information related to the purchase history of the product by the user acquired by the acquisition unit 131.

  In the example of FIG. 1, the estimation unit 132 estimates that the product corresponding to the detection information D1 is ketchup A (product GD1) based on the information of “ketchup A” input by the user U1. For example, the estimation unit 132 determines that the product corresponding to the detection information D1 is ketchup A (product GD1) based on the information about “ketchup A” input by the user U1 via the input interface provided in the sensor SN1. It may be estimated. Further, the estimation unit 132 estimates that the product corresponding to the detection information D1 is ketchup A (product GD1) based on information related to “ketchup A” input to the IoT device used by the user U1, for example, a smartphone. Also good. Note that the above is an example, and the estimation unit 132 may perform estimation based on any information as long as it can be estimated that the product corresponding to the detection information D1 is ketchup A (product GD1).

  For example, although the estimation part 132 showed the case where the goods which sensor SN1 detected based on the input of the user U1 were shown, it uses not only the input of the user U1 but various information according to available information. The product may be estimated, or the product may be estimated by combining various information. For example, the estimation unit 132 may estimate the product detected by the sensor SN1 based on the purchase history of the user UI. For example, the estimation unit 132 has a delivery date and time of the product based on the purchase history of the user UI to the residence SP1 of the user U1 and a date and time when the product is detected by the sensor SN1 within a predetermined range (for example, within 1 hour). In this case, the product delivered to the residence SP1 of the user U1 may be estimated as the product detected by the sensor SN1. In addition, for example, when a plurality of products are delivered to the residence SP1 of the user U1 at the delivery date and time described above, the estimation unit 132 determines the weight of the product first detected by the sensor SN1 among the plurality of products, and a predetermined value. A product satisfying a predetermined condition by the unused weight acquired by the means may be estimated as a product detected by the sensor SN1. In the case of delivery, a product in which the weight of the product first detected by the sensor SN1 and the unused weight acquired by a predetermined means are detected by the sensor SN1 among the plurality of products. May be estimated.

  For example, when the use frequency of the product detected by the infrared sensor is three times and the average amount used for one time of the product is “50 g”, the estimation unit 132 has a consumption amount of “150 g ( = 50 × 3 g) ”. For example, when the estimation unit 132 estimates that the weight before use of the product is “400 g” and the consumption amount of the product is “150 g” as described above, the weight of the remaining product is “250 g ( = 400−150 g) ”.

(Determining unit 133)
The determination unit 133 performs various determinations. For example, the determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the change in the weight of the product acquired by the acquisition unit 131. For example, the determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the change in the weight of the product. For example, the determination unit 133 determines the timing for providing information that prompts the purchase of a product as the timing for providing a service that prompts the purchase of the product. For example, the determination unit 133 determines the timing for performing the product purchase processing as the timing for providing the service for prompting the purchase of the product.

  For example, the determination unit 133 determines the timing for providing information prompting the purchase of another product similar to the product when the rate of decrease in the weight of the product consumed by the user is less than a predetermined threshold. Details of this point will be described later. For example, the determination unit 133 determines the timing of providing a service that prompts the user to purchase a product based on the information regarding the change in the product weight and the container weight of the product. For example, the determination unit 133 determines the timing for providing a service that prompts the user to purchase a product based on the difference between the weight of the entire product and the container weight of the product. For example, when the difference between the weight of the entire product and the container weight of the product is less than a predetermined threshold, the determination unit 133 determines to provide a service that prompts the user to purchase the product.

  For example, the determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the consumption speed of the weight of the product. For example, the determination unit 133 determines the timing for providing the service related to the product according to the consumption speed of the product between the first time point and the second time point based on the difference between the first information and the second information.

  In the example of FIG. 1, since the weight of the latest ketchup A stored in the detection information storage unit 122-3 is “50 (g)”, the determination unit 133 is based on the determination information CN1 in FIG. It is determined that the ketchup A purchase process is performed for the user U1. For example, as shown in the determination information CN1 in FIG. 1, the determination unit 133 compares the difference between the latest weight of ketchup A and the container weight of ketchup A with the threshold value, thereby comparing the user U1 with ketchup A. It is determined that the purchase process is performed. For example, as shown in the determination information CN1 in FIG. 1, the determination unit 133 determines that the difference between the weight of the latest ketchup A and the container weight of ketchup A is “30 (= 50−20)” and the threshold value “40”. Since it became the following, it determines with purchasing processing of ketchup A with respect to the user U1.

(Transmitter 134)
The transmission unit 134 transmits various types of information. For example, the transmission unit 134 transmits various types of information to an external information processing apparatus. For example, the transmission unit 134 transmits information related to the user's purchase to the commercial transaction device 50. For example, the transmission unit 134 transmits the purchase information of ketchup A for the user A to the commercial transaction device 50.

[3. Processing flow
Next, the procedure of the determination process by the determination system 1 according to the embodiment will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of the determination process according to the embodiment.

  As shown in FIG. 7, the determination apparatus 100 acquires detection information (step S101). In the example of FIG. 1, the determination device 100 acquires detection information detected by the weight sensor SN1 provided in the dwelling unit SP1.

  Thereafter, the determination apparatus 100 adds the product for which the detection information has been acquired in Step S101 (Step S102). For example, the determination apparatus 100 adds ketchup A identified by the product ID “GD1” to the detection information storage unit 122. Further, the determination device 100 adds the weight of the ketchup A to the detection information storage unit 122.

  The determining apparatus 100 determines whether the detection information has been acquired (step S103). When the detection information has not been acquired (step S103: No), the determination device 100 repeats the process of step S103. On the other hand, when detection information is acquired (step S103: Yes), the determination apparatus 100 updates the weight of goods (step S104). In the example of FIG. 1, the determination apparatus 100 updates the weight of ketchup A from 180 g to 110 g.

  And the determination apparatus 100 determines whether the content of goods is below a predetermined threshold value (step S105). When the content volume of the product is not equal to or less than the predetermined threshold (step S105: No), the determination apparatus 100 repeats the process of step S103.

  On the other hand, when the content amount of the product is equal to or less than the predetermined threshold (step S105: Yes), the determination apparatus 100 performs a product purchase process (step S106). In the example of FIG. 1, the determination device 100 determines the purchase of ketchup A, and transmits the purchase information of the ketchup A for the user A to the commercial transaction device 50.

[4. (Estimation of container weight)
As described above, the determination device 100 may estimate the content volume or container weight of the product based on the detection information. This point will be described with reference to FIG. FIG. 8 is a diagram illustrating an example of container weight estimation according to the embodiment.

  In the example of FIG. 8, as shown in the detection information storage unit 122A, the sensor SN1 detects the product GD1 four times, and then the wine A, which is the product identified by the product ID “GD2”, is detected. Show. The detection information storage unit 122A is the same as the detection information storage unit 122 except for the stored information.

  The determination apparatus 100 estimates the timing at which the weight increases in successive detections as the timing at which the product placed on the sensor SN1 has been changed, and estimates that the product has been changed (step S31). In the example of FIG. 8, since the weight increases between the detection identified by the detection ID “D4” and the detection identified by the detection ID “D5”, the determination device 100 uses the detection ID “D5”. Presume that the product has been changed in the identified detection. Note that the determination device 100 may estimate the change timing of the product based on a user input.

  Based on the estimation in step S31, the determining apparatus 100 estimates that the detection of the ketchup A is between the detection identified by the detection ID “D1” and the detection identified by “D4”. Therefore, the determination apparatus 100 estimates the content volume and the container weight of the ketchup A based on the information related to the detection identified by the detection ID “D1” and the information related to the detection identified by the detection ID “D4” (step). S32).

  For example, the determination apparatus 100 estimates the weight detected by the final detection among the detections of the ketchup A as the container weight of the ketchup A. In the example of FIG. 8, for example, the determination apparatus 100 estimates the weight “20 (g)” detected in the detection identified by the detection ID “D4” as the container weight of ketchup A, as shown in the estimation information CN31. To do.

  For example, the determination apparatus 100 estimates the difference between the weight in the initial detection and the weight in the final detection as the internal capacity of the ketchup A among the detections of the ketchup A. In the example of FIG. 8, for example, the determination apparatus 100 is identified by the weight “180 (g)” detected in the detection identified by the detection ID “D1” and the detection ID “D4” as illustrated in the estimation information CN32. In this detection, “160 (g)” that is a difference from the detected weight “20 (g)” is estimated as the content of ketchup A. Note that the above is an example, and the determining apparatus 100 may estimate the internal volume and container weight of ketchup A using various information as appropriate.

[5. (Estimation of user ratings)
Moreover, the determination apparatus 100 may estimate a user's evaluation with respect to a product based on the amount of change in the weight of the product. This point will be described with reference to FIG. FIG. 9 is a diagram illustrating an example of estimation of evaluation of a user's product according to the embodiment.

  In the example of FIG. 9, as shown in the standard consumption information ST41, the determination apparatus 100 has acquired information related to general user consumption. For example, the information indicating the relationship between the number of times and the weight indicated in the standard consumption information ST41 may be calculated based on the average of all users.

  For example, in FIG. 9, as shown in the standard consumption information ST41, the difference between the number of times Ketchup A is used “0” and “1” is “40 (= 180−140)”. That is, the consumption amount of the general user's ketchup A in the first use is “40 g”. Further, for example, in FIG. 9, as shown in the standard consumption information ST41, the difference between the number of times of using ketchup A “1” and “2” is “40 (= 140−100)”. That is, the consumption amount in the second use of the general user's ketchup A is “40 g”.

  The determining apparatus 100 calculates a standard consumption rate (hereinafter also referred to as “standard consumption rate”) based on the standard consumption information ST41 (step S40). For example, as shown in the estimation information CN40, the determination apparatus 100 uses the difference between the weight “180 (g)” for the 0th time and the weight “100 (g)” for the last time (second time in FIG. 9). A value obtained by dividing a certain “80 (g)” by the number of times of use “2” is calculated as the standard consumption speed. For example, the determination apparatus 100 calculates the standard consumption speed as “40 (g / time)” as indicated by the estimation information CN40.

  In the example of FIG. 9, as shown in the detection information storage unit 122B, the case where the product GD1 is detected three times by the sensor SN1 is shown. The detection information storage unit 122B is the same as the detection information storage unit 122 except for the stored information.

  The determination device 100 calculates the consumption speed of the user U1 based on the detection information storage unit 122B (step S41). For example, as shown in the estimation information CN41, the determination device 100 has a weight “180 (g)” in the detection identified by the detection ID “D1” and a weight “150 (in the detection identified by the detection ID“ D3 ”. A value obtained by dividing “30 (g)” that is a difference from “g)” by “2” that is the number of times of use (the number of detection times−1) is calculated as a standard consumption speed. For example, as illustrated in the estimation information CN41, the determination device 100 calculates the consumption speed of the user U1 as “15 (g / time)”.

  Then, the determination device 100 calculates the difference between the standard consumption rate and the consumption rate of the user U1 (step S42). And the determination apparatus 100 estimates the evaluation with respect to the ketchup A of the user U1 by comparing the difference of a standard consumption rate and the consumption rate of the user U1. In the example of FIG. 9, the threshold is “20”.

  In FIG. 9, the determination device 100 calculates the difference between the standard consumption speed and the consumption speed of the user U1 as “25 (= 40−15)” as illustrated in the difference information CN42, and the threshold value “20”. Compare with In this case, since the difference between the standard consumption speed and the consumption speed of the user U1 is larger than the threshold “20”, the determination apparatus 100 estimates that the evaluation of the user U1 with respect to ketchup A is low.

  Therefore, the determination apparatus 100 recommends another product to the user U1 (step S43). In the example of FIG. 9, the determination apparatus 100 recommends ketchup B, which is a product identified by the product ID “GD41”, to the user U1, as shown in the product list IL41. Thereby, the determination apparatus 100 can recommend another product to the user at a timing when the user U1 is highly likely to purchase another product. In the above average calculation, when an increase or decrease in weight equal to or greater than a predetermined threshold is detected from a previous detection in a certain detection, the determination apparatus 100 does not use detection information corresponding to the detection for the average calculation. Also good. Thereby, since the determination apparatus 100 can exclude, for example, detection information when the consumption pace is different from normal due to a visitor or the like from the average, it is possible to appropriately supplement the user's consumption pace.

[6. effect〕
As described above, the determination device 100 according to the embodiment includes the acquisition unit 131 and the determination unit 133. The acquisition part 131 acquires the information regarding the weight of the goods detected by the predetermined sensor in the user's living space. The determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the change in the weight of the product acquired by the acquisition unit 131.

  Thereby, the determination apparatus 100 according to the embodiment estimates the remaining amount of ketchup A used by the user U1 based on the change in the weight of the ketchup A detected by the sensor SN1, and determines the remaining amount of the estimated ketchup A and the predetermined amount. Is compared with a threshold value (for example, 40 (g)), an appropriate timing for buying the ketchup A for the user U1 is determined. Therefore, the determination apparatus 100 can appropriately determine the timing of providing the service to the user based on the information on the weight of the product detected by the predetermined sensor.

  In the determination apparatus 100 according to the embodiment, the acquisition unit 131 acquires information related to the weight of a product that the user regularly purchases. The determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the change in the weight of the product.

  Thereby, the determination apparatus 100 according to the embodiment provides a service to the user at an appropriate timing for the product that the user regularly purchases based on the information on the change in the weight of the product that the user regularly purchases. can do. Moreover, the determination apparatus 100 can appropriately predict the purchase cycle of the product that the user regularly purchases based on the information on the change in the weight of the product that the user regularly purchases.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 133 determines the timing for providing information that prompts the purchase of a product as the timing for providing the service that prompts the purchase of the product.

  Thereby, the determination apparatus 100 according to the embodiment can increase the possibility that the user purchases the product by appropriately determining the timing for prompting the user to purchase the product.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 133 determines the timing for performing the product purchase processing as the timing for providing the service for prompting the purchase of the product.

  Thereby, the determination apparatus 100 according to the embodiment can perform the product purchase process at an appropriate timing for the user by appropriately determining the timing of performing the product purchase process.

  Further, in the determination device 100 according to the embodiment, the determination unit 133 provides information that prompts the purchase of another product similar to the product when the rate of decrease in the weight of the product consumed by the user is less than a predetermined threshold. Determine the timing.

  Thereby, the determination apparatus 100 according to the embodiment determines the timing for providing information prompting the purchase of another product similar to the product when the rate of decrease in the weight of the product consumed by the user is less than a predetermined threshold. By doing, the possibility that a user will purchase other goods can be raised.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the change in the weight of the product and the weight of the product container.

  Thereby, since the determination apparatus 100 according to the embodiment can estimate the content of the product by estimating the weight of the product container, the determination device 100 includes the information on the change in the product weight and the weight of the product container. Based on this, it is possible to appropriately determine the timing of providing the service to the user.

  Further, in the determination device 100 according to the embodiment, the determination unit 133 determines the timing for providing the service related to the product to the user based on the difference between the weight of the entire product and the weight of the product container.

  Thereby, the determination apparatus 100 which concerns on embodiment can determine appropriately the timing which provides a user with a service based on the difference of the weight of the whole goods, and the weight of the container of goods.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 133 determines to provide a service related to the product to the user when the difference between the weight of the entire product and the weight of the product container is less than a predetermined threshold.

  Thereby, when the difference between the weight of the entire product and the weight of the product container is less than a predetermined threshold, the determination device 100 according to the embodiment determines that the service related to the product is to be provided to the user. Can be appropriately determined.

  In addition, the determination device 100 according to the embodiment includes an estimation unit 132. The estimation unit 132 estimates the product for which the weight is detected based on the information regarding the weight of the product acquired by the acquisition unit 131.

  Thereby, the determination apparatus 100 according to the embodiment estimates which product the user is using even if the input regarding the product by the user cannot be obtained by estimating the product whose weight is detected. Therefore, it is possible to appropriately determine the timing for providing the service to the user.

  Moreover, in the determination apparatus 100 according to the embodiment, the acquisition unit 131 acquires information related to the purchase history of products by the user. The determination unit 133 estimates the product whose weight is detected based on the information related to the purchase history of the product acquired by the user acquired by the acquisition unit 131.

  Thereby, even if it is a case where the input regarding a goods by a user is not obtained by estimating the goods from which the weight was detected, the determination apparatus 100 which concerns on embodiment is based on the information regarding the purchase history of goods by a user. Since it is possible to estimate which product the user is using, it is possible to appropriately determine the timing for providing the service to the user.

  In the determination apparatus 100 according to the embodiment, the acquisition unit 131 acquires information related to the weight of the product consumed by the user. The determination unit 133 determines the timing for providing the service related to the product to the user based on the information related to the consumption speed of the weight of the product.

  Thereby, the determination apparatus 100 which concerns on embodiment can determine appropriately the timing which provides a service to a user based on the information regarding the consumption speed of the weight of goods.

  In the determination apparatus 100 according to the embodiment, the acquisition unit 131 acquires first information related to the weight of the product at the first time point and second information related to the weight of the product at the second time point after the first time point. To do. The determination unit 133 determines the timing for providing the service related to the product according to the consumption speed of the product between the first time point and the second time point based on the difference between the first information and the second information.

  Thereby, the determination apparatus 100 which concerns on embodiment provides a service to a user by using the consumption speed of the goods between the 1st time based on the difference of 1st information and 2nd information, and 2nd time. The timing can be determined appropriately.

[7. Hardware configuration)
The determination apparatus 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 12, for example. FIG. 12 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the determination device. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, an HDD (Hard Disk Drive) 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F). ) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the network N.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the determination device 100, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

  As described above, some of the embodiments and modifications of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various aspects can be made based on the knowledge of those skilled in the art including the aspects described in the disclosure line of the invention. It is possible to carry out the present invention in other forms that have been modified and improved.

[8. Others]
In addition, among the processes described in the above-described embodiments and modifications, all or a part of the processes described as being automatically performed can be manually performed, or are described as being performed manually. All or part of the processing can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  In addition, the above-described embodiments and modifications can be combined as appropriate within a range that does not contradict processing contents.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Determination system 100 Determination apparatus 121 User information storage part 122 Detection information storage part 123 Spatial information storage part 124 Merchandise information storage part 130 Control part 131 Acquisition part 132 Estimation part 133 Determination part 134 Transmission part 50 Commercial transaction apparatus SN1 sensor N network

Claims (14)

An acquisition unit that acquires information on the weight of a product detected by a predetermined sensor in the user's living space;
A determination unit that determines a timing for providing a service related to the product to the user based on information on a change in the weight of the product acquired by the acquisition unit;
A determination apparatus comprising: The acquisition unit
Obtaining information about the weight of the product that the user is subscribed to,
The determination unit
The determination apparatus according to claim 1, wherein timing for providing a service related to the product to the user is determined based on information related to a change in the weight of the product. The determination unit
The determination apparatus according to claim 2, wherein a timing for providing information for prompting purchase of the product is determined as a timing for providing a service for prompting the purchase of the product. The determination unit
The determination apparatus according to claim 2, wherein a timing for performing processing for purchasing the product is determined as a timing for providing a service that prompts the purchase of the product. The determination unit
The timing for providing information prompting the purchase of another product similar to the product is determined when the rate of decrease in the weight of the product consumed by the user is less than a predetermined threshold. The determination apparatus of any one of -4. The determination unit
The timing for providing a service related to the product to the user is determined based on the information related to the change in the weight of the product and the weight of the container of the product. The determination device described. The determination unit
The determination apparatus according to claim 6, wherein a timing for providing a service related to the product to the user is determined based on a difference between a weight of the entire product and a weight of a container of the product. The determination unit
The determination apparatus according to claim 7, wherein when the difference between the weight of the entire product and the weight of the container of the product is less than a predetermined threshold, the determination unit determines to provide the user with a service related to the product. An estimation unit that estimates a product in which the weight is detected based on information on the weight of the product acquired by the acquisition unit;
The determination apparatus according to claim 1, further comprising: The acquisition unit
Obtain information on the purchase history of the product by the user,
The determination unit
The determination device according to claim 9, wherein the product in which the weight is detected is estimated based on information on a purchase history of the product by the user acquired by the acquisition unit. The acquisition unit
Obtaining information about the weight of the product consumed by the user;
The determination unit
The determination apparatus according to any one of claims 1 to 10, wherein timing for providing a service related to the product to the user is determined based on information related to a consumption speed of the weight of the product. The acquisition unit
Obtaining first information related to the weight of the product at the first time point and second information related to the weight of the product at the second time point after the first time point;
The determination unit
The timing for providing a service related to the product is determined according to a consumption speed of the product between the first time point and the second time point based on a difference between the first information and the second information. The determination device according to claim 11. A decision method performed by a computer,
An acquisition step of acquiring information related to the weight of the product detected by a predetermined sensor in the user's living space;
A determination step of determining a timing for providing a service related to the product to the user based on information on a change in the weight of the product acquired in the acquisition step;
The determination method characterized by including. An acquisition procedure for acquiring information on the weight of a product detected by a predetermined sensor in the user's living space;
A determination procedure for determining a timing for providing a service related to the product to the user based on information related to a change in the weight of the product acquired by the acquisition procedure;
A determination program characterized by causing a computer to execute.

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