JP2021033496A - Delivery schedule assembly device - Google Patents

Abstract

To provide a device that predicts whether a recipient is at home using life pattern of the recipient and reflects the prediction result in delivery schedule assembly of home delivery.SOLUTION: A delivery schedule assembly device 2 comprises: home prediction means 20 for generating a home prediction table 230 storing a home probability level for each day of the week and time zone for a recipient 5; and delivery schedule assembly means 21 for reflecting home prediction of the recipients 5 in delivery schedule assembly of home delivery. The home prediction means 20 regards purchasing action of the recipient 5 at a real store 30 as one of daily actions by which the recipient 5 is absent, and sets the home probability level of day of the week and time zone when many settlement related to a payment card 50 possessed by the recipient 5 are performed to "low" in the home forecast table 230.SELECTED DRAWING: Figure 2

Description

The present invention relates to a technique for predicting the home of a recipient who is a destination of a delivery delivered by a delivery company.

In recent years, the usage rate of virtual stores on the Internet has increased, the number of parcels handled by parcel delivery companies providing home delivery services has increased, and redelivery of parcel deliveries has become a major issue for business efficiency of parcel delivery companies.

Although major courier companies can specify the desired delivery date and time for deliveries, some courier companies with which virtual stores are affiliated cannot specify the desired delivery date and time. Delivery items for which the desired delivery date and time are not specified are delivered without considering the convenience of the recipient, and the recipient is often absent at the time of delivery of the delivery item.

As a technique for predicting the date and time when the delivery can be received by the recipient, in Patent Document 1, a means for executing an editing operation for grouping the receipt information necessary for predicting the date and time when the delivery can be received, and editing. A device provided with a means for generating weighted receipt information by weighting the recipient's receipt performance based on the calculated receipt information using a predetermined weight and generating receipt prediction information based on the weighted receipt information. Is disclosed.

In order to predict the date and time when the recipient can receive the parcel, it is necessary to predict the date and time when the recipient of the parcel is at home. In Patent Document 1, in order to predict the date and time when the recipient of the delivery is at home, the receipt history information regarding the history when the delivery is received by the recipient and the receipt of the delivery by the recipient are performed. Non-receipt history information related to the history when the delivery is not made can be used as the receipt information, and further, receipt tendency information regarding the tendency of the recipient to receive the parcel delivery can be used as the receipt information.

Japanese Unexamined Patent Publication No. 2009-163618

There is a certain degree of regularity in daily life patterns, and the days and times when the recipient stays at home depend to some extent on the recipient's life pattern, but in the prior art, the recipient's life pattern is used to predict the recipient's home. Not used.

Therefore, an object of the present invention is to provide a device that predicts the recipient's home home using the recipient's life pattern and reflects the recipient's home forecast in the delivery schedule group of the delivery.

The first invention that solves the above-mentioned problems is a home prediction means that generates a home prediction table that stores the home probability level for each day and time zone for each recipient, and a delivery schedule group that uses the recipient's home prediction as a delivery schedule. The home prediction means is provided with a delivery schedule grouping means to be reflected in the above, and the home prediction means is a day when the corresponding number of payment dates and times settled by the recipient using the payment card in the recipient's home prediction table is equal to or more than the first reference number. -The home delivery probability level of the time zone is set to "low", and the delivery schedule group means refers to the home delivery prediction table of the recipient when making a delivery of a home delivery whose time is not specified, and this home delivery. It is a delivery schedule assembly device characterized in that the delivery time of this home delivery is determined by preferentially using a time zone in which the home probability level is not set to "low" on the delivery date. In the first invention, the purchase behavior of the recipient in the actual store is regarded as one of the daily behaviors in which the recipient is absent, and the payment date and time related to the payment card possessed by the recipient is at home on days and hours when the number of applicable cases is large. It is an invention in which the recipient's home prediction is performed so that the probability level is "low", and the recipient's home prediction is reflected in the delivery schedule group of the delivery.

Further, the second invention is the delivery schedule assembly device described in the first invention, in which the home prediction means is the work day / working hours determined by the recipient's occupation in the home prediction table of the recipient. It is characterized by setting the home probability level of the time zone to "low". In the second invention, the work of the beneficiary is regarded as one of the daily activities in which the beneficiary is absent, and the home probability level of the day of the week / time zone corresponding to the working day / working time determined by the beneficiary's occupation is set to "low". It is an invention to make.

Further, in the third invention, in the delivery schedule assembly device described in the second invention, the number of cases corresponding to the absence date and time when the absence notification form was issued to the recipient in the home prediction table of the recipient is the third. 2 It is characterized by setting the home probability level of the day / time zone when the number of cases exceeds the standard number to "low". The third invention is an invention in which the probability of staying at home is set to "low" on days and hours when the number of cases of absence date and time when the absence notification form is issued to the recipient is large.

Further, the fourth invention is the delivery schedule assembly device described in any one of the first to third inventions, wherein the home prediction means sets the home probability level to "low" in the home prediction table of the recipient. From the days / hours that are not set to, set the home probability level of the days / hours when the number of applicable cases of the settlement date and time is equal to or less than the third standard number to "High", and the delivery schedule grouping means is the time. When making a delivery of an unspecified delivery item, the recipient's home prediction table is referred to, and the time zone in which the home probability level is set to "high" is preferentially used on the delivery date of this delivery item. It is characterized by determining the delivery time of the delivery of the lever. In the fourth invention, the recipient's home prediction is performed so that the home probability level of the day / time zone when the number of payment dates and times corresponding to the payment card is small is set to "high", and the recipient's home prediction is the delivery of the delivery. It is an invention to be reflected in the schedule group.

Further, according to the fifth invention, in the delivery schedule assembly device described in the fourth invention, the home-based prediction means delivers to the recipient from the days of the week and the time zone in which the home-based probability level is not set to "low". It is characterized in that the home probability level of the day of the week / time zone in which the corresponding number of deliveries on the delivery date and time is equal to or more than the fourth standard number is set to "high". The fifth invention is an invention in which the probability of staying at home is set to "high" on days and times when the number of cases of delivery date and time when the delivery is delivered to the recipient is large.

Further, in the sixth invention, at least, the home probability level of the day of the week / time zone in which the corresponding number of payment dates and times settled by the recipient using the payment card is equal to or higher than the first standard number is set to "low". , Refer to the recipient's home prediction table when assembling a home prediction means that generates a home prediction table that stores the home probability level for each day of the week and time zone for each recipient and delivery of home deliveries that do not specify a time. However, on the delivery date of this delivery, the delivery time of this delivery is determined by preferentially using the time zone in which the home probability level is not set to "low", so that the recipient's home prediction can be predicted. It is a computer program that makes a computer function as a delivery schedule group means to be reflected in the delivery schedule group. The sixth invention is an invention relating to a computer program.

The above-mentioned delivery schedule group device predicts the recipient's home from the daily life pattern in which the recipient is absent, such as the purchasing behavior of the recipient, so as to solve the problem of the present invention. Reflect in the delivery schedule group of home deliveries.

The figure explaining the system configuration including the delivery schedule group device. Block diagram of the scheduled delivery device. The figure explaining the structure of the DB provided in the delivery schedule grouping apparatus. The figure explaining the home prediction table stored in the home prediction DB. The figure explaining the operation of the DB update means provided in the delivery schedule group apparatus. The figure explaining the operation of the home prediction means included in the delivery schedule group device. The figure explaining the process of setting the home probability level to "low". The figure explaining the process of setting the home probability level to "high". The figure explaining the process of setting the home probability level to "medium". The figure explaining the operation of the delivery schedule group means of the delivery schedule group device.

From here, an embodiment according to the present invention will be described. The present embodiment is for facilitating the understanding of the present invention, and the present invention is not limited to the present embodiment. Unless otherwise specified, the drawings are schematic drawings drawn to facilitate understanding of the present invention.

FIG. 1 is a diagram illustrating a system configuration 1 including a delivery schedule assembly device 2 according to the present embodiment. The delivery schedule group device 2 regards the purchasing behavior of the payee 5 at the actual store 30 as one of the daily actions when the payee 5 is absent (not at home 51), and the payment card 50 possessed by the payee 5 It is a device that predicts the home of the recipient 5 (at home 51) using at least the payment history, and reflects the home prediction of the recipient 5 in the delivery schedule group of the delivery 41. In order to realize this, in the system configuration 1 illustrated in FIG. 1, information related to payment using the payment card 50 is managed as a device connected to the delivery schedule group device 2 via the network 6. The payment history management device 3 is included, and the delivery management device 4 that manages information related to the delivery of the delivery 41 handled by the delivery company is included.

The delivery management device 4 is connected to the delivery center 40 of the delivery company, and delivers delivery request information including the name and address of the sender and the name and address of the recipient 5, the name and address of the recipient 5, and the delivery date and time when the delivery 41 is delivered. The delivery history information including the above and the absentee history information including the name and address of the recipient 5 and the absentee date and time when the absentee contact form was issued are stored as the information related to the delivery item 41 delivered by the truck 42. As such a delivery management device 4, a data center of a delivery company can be used.

The payment history management device 3 connects to a payment terminal installed in the actual store 30, associates with the card number of the payment card 50, and includes owner information including the address and name of the owner who owns the payment card 50. , Stores payment history information including the payment date and time, which is the date and time of payment using the payment card 50.

For example, a server of a credit card company that manages payment history information of a credit card, which is one of the payment cards 50, can be used as the payment history management device 3. However, in the present invention in which the home delivery of the recipient 5 is predicted using the payment history information of the payment card 50 in order to reduce the number of redelivery of the delivery 41, the payment card 50 issued by the delivery company (for example, electronic). It is desirable to use a device that manages the payment history information of the money card) and the payment history information of the point card affiliated with the delivery company for the payment history management device 3.

By using the data center of the courier company for the courier management device 4, and further using the device that manages the payment history information of the payment card 50 related to the courier company for the payment history management device 3, a company other than the courier company The delivery schedule assembly device 2 can be realized without cooperating with (for example, a credit card company), and not only the effect of reducing the number of redelivery cases of the delivery item 41 but also the utilization rate of the payment card 50 related to the delivery company can be expected to be improved.

A delivery schedule group device 2 will be described in which a home forecast of the recipient 5 is performed using the payment history information of the payment card 50, and the home forecast of the recipient 5 is reflected in the delivery schedule group of the delivery 41. FIG. 2 is a block diagram of the scheduled delivery assembly device 2.

The delivery schedule group device 2 is a device realized by using a computer in which the table generation device 10 is equipped with a processor, RAM, storage, and the like.

As illustrated in FIG. 2, the delivery schedule group device 2 has a delivery date / time DB 26 for storing the delivery date / time included in the delivery history information acquired from the home delivery management device 4 as a DB (DataBase) to be built in the storage, and a home delivery management device. The absence date / time DB 27 that stores the absence date / time included in the absence history information acquired from 4 and the settlement date / time DB 28 that stores the settlement date / time included in the payment history information acquired from the payment history management device 3 are provided. Further, the delivery schedule group device 2 has a home prediction DB 23 that stores a home prediction table 230 showing the home probability level of the recipient 5 for each day and the time zone as DBs to be built in the storage, and an individual of the recipient 5. A recipient DB 24 for storing information and a profession DB 25 for memorizing working days and working hours corresponding to the profession are provided for each profession ID for identifying a profession (company employee, part-time worker, etc.).

As illustrated in FIG. 2, the delivery schedule assembly device 2 uses at least the payment history information of the payment card 50 as a function realized by a computer program that the processor expands into RAM and executes, for each recipient 5. Execution of the home prediction means 20 that generates the home prediction table 230, the delivery schedule group means 21 that reflects the home prediction of the recipient 5 in the delivery schedule group, and the process of updating the delivery date / time DB26, the absence date / time DB27, and the settlement date / time DB28. The DB update means 22 is provided.

FIG. 3 is a diagram for explaining the structure of the DB included in the scheduled delivery assembly device 2, and FIG. 3 illustrates the structure of the DB excluding the home prediction DB 23.

FIG. 3A illustrates the structure of the recipient DB 24. In the recipient DB 24, one data table for storing the personal information of the recipient 5 is constructed. In the record of this data table, as personal information of one recipient 5, the recipient ID for identifying the recipient 5, the name of the recipient 5, the address of the recipient 5, and the age of the recipient 5 (date of birth). The day) and the occupation ID of the recipient 5 are stored.

FIG. 3B illustrates the structure of the delivery date / time DB 26. In the delivery date / time DB 26, a data table for storing the delivery date / time of the recipient 5 identified by the recipient ID is constructed for each recipient ID stored in the recipient DB 24. In the record of this data table, the delivery date and time included in the delivery history information of the recipient 5 identified by the recipient ID is stored.

FIG. 3C illustrates the structure of the absence date / time DB 27. In the absence date / time DB 27, a data table for storing the absence date / time of the recipient 5 identified by the recipient ID is constructed for each recipient ID stored in the recipient DB 24. In the record of this data table, the absence date and time included in the absence history information of the recipient 5 identified by the recipient ID is stored.

FIG. 3D illustrates the structure of the settlement date and time DB 28. In the settlement date and time DB 28, a data table for storing the settlement date and time is constructed for each recipient ID stored in the recipient DB 24. In the record of this data table, the settlement date and time included in the settlement history information of the recipient 5 identified by the recipient ID is stored.

FIG. 3 (e) illustrates the structure of the occupation DB 25. As described above, one record of the occupation DB 25 stores the occupation ID used for identifying the occupation and the working days and working hours related to the occupation corresponding to the occupation ID.

FIG. 4 is a diagram illustrating a home prediction table 230 stored in the home prediction DB 23 included in the delivery schedule assembly device 2. In the home prediction DB 23, the home prediction table 230 of the recipient 5 identified by the recipient ID is stored for each recipient ID stored in the recipient DB 24.

In the home prediction table 230 illustrated in FIG. 4, the day of the week (Sunday to Saturday) is used as a row, and the time zone included in the business hours of the courier company (here, in 1-hour increments from 8:00 to 21:00) is used as a column. It has a data table structure, and the home probability level of the recipient 5 corresponding to the home prediction table 230 is stored for each day of the week / time zone (day of the week and its time zone). In the present embodiment, the home probability level is represented by three stages of “low”, “medium”, and “high”, and in FIG. 4, each stage is color-coded.

Considering reducing the number of redelivery cases of the delivery item 41, it is desirable to deliver the delivery item 41 avoiding the days and times when the recipient 5 has a low probability of staying at home. Since the fact that the payee 5 uses the payment card 50 means that the payee 5 is absent from his / her home 51, he / she receives the day / time when the number of cases corresponding to the payment date / time included in the payment history information is large. It can be predicted that the day / time zone when the probability level of being at home for person 5 is low. Therefore, in the present embodiment, the home probability level of the day / time zone in which the number of corresponding settlement dates and times in a predetermined period (for example, one year) is equal to or more than the first reference number (for example, 20 or more) is set to "low". ..

However, when the recipient 5 is engaged in some occupation, the number of settlement dates and times corresponding to the day of the week and the time zone in which the recipient 5 is working is inevitably reduced. Therefore, even though the recipient 5 cannot receive the delivery 41 on the day / time when the recipient 5 is working, the home probability level related to this day / time is not "low". Therefore, in the present embodiment, the work of the beneficiary 5 is regarded as one of the daily actions in which the beneficiary 5 is absent, and the probability of staying at home on the day of the week / time zone corresponding to the working day / working time determined by the occupation of the beneficiary 5. The level is "low".

Note that the day / time zone corresponding to the absence date / time included in the absence history information is the day / time zone in which the recipient 5 has been absent in the life pattern of the recipient 5, so that the absence history information includes the day / time zone. It is preferable to set the home probability level of the day / time zone when the number of corresponding cases of the included absence date and time is equal to or more than the second standard number (for example, one or more) to be “low”.

By delivering the delivery 41 while avoiding the days and times when the recipient 5 has a low home probability level, the number of redelivery cases of the delivery 41 can be reduced, but the days and times when the recipient 5 has a high home probability level can be reduced. When the delivery 41 is delivered to the customer, the number of redelivery of the delivery 41 can be further reduced.

In the present embodiment, the number of cases corresponding to the settlement date and time is the third reference number among the days and time zones in which the home probability level is set to "high" and the days and time zones in which the home probability level is not set to "low". The days and times are set to the following (for example, 0 or less). Note that the day / time zone corresponding to the delivery date / time included in the delivery history information is the day / time zone in which the recipient 5 has been at home in the life pattern of the recipient 5, and therefore the above day / time zone. In addition to the time zone, it is preferable to set the home probability level of the day / time zone when the number of corresponding delivery date and time included in the delivery history information is equal to or greater than the fourth standard number (for example, 1 case) to be "high". ..

The day / time zone for setting the home probability level to "medium" is the day / time zone excluding the day / time zone for which the home probability level is "low" and the day / time zone for which the home probability level is set to "high". become.

From here, the operation of the scheduled delivery group device 2 will be described. FIG. 5 is a diagram for explaining the operation of the DB update means 22 included in the delivery schedule assembly device 2, FIG. 6 is a diagram for explaining the operation of the delivery schedule assembly means 21 included in the delivery schedule assembly device 2, and FIG. 7 is a diagram for explaining the operation of the delivery schedule assembly means 21 included in the delivery schedule assembly device 2. The figure explaining the process of setting the home probability level to "low", FIG. 8 is a figure explaining the process of setting the home probability level to "high", and FIG. 9 is a figure explaining the process of setting the home probability level to "medium". It is a figure explaining the process.

First, the operation of the DB update means 22 included in the scheduled delivery group device 2 will be described with reference to FIG. The DB update means 22 included in the delivery schedule group device 2 executes a process of updating the delivery date / time DB 26, the absence date / time DB 27, and the settlement date / time DB 28 every predetermined DB update period (for example, one week). FIG. 5 (a) is a diagram for explaining the process of updating the delivery date / time DB 26, FIG. 5 (b) is a diagram for explaining the process of updating the absence date / time DB 27, and FIG. 5 (c) is a diagram for explaining the settlement date / time DB 28. It is a figure explaining the process of updating.

As illustrated in FIG. 5A, when updating the delivery date / time DB 26, the DB update means 22 included in the scheduled delivery group device 2 delivers all the records storing the delivery date / time earlier than the predetermined period. By executing the process of deleting from the DB 26, the delivery date and time whose date and time is earlier than the predetermined period is deleted from the delivery date and time DB 26 (S1). Next, the DB update means 22 included in the delivery schedule group device 2 acquires the delivery history information whose delivery date and time is within the DB update period from the home delivery management device 4, and sets the delivery date and time included in the delivery history information in the delivery date and time DB 26. The process of registering is executed (S2), and the update of the delivery date / time DB 26 is completed. When registering the delivery date and time included in the delivery history information in the delivery date and time DB 26, the DB update means 22 included in the delivery schedule group device 2 refers to the recipient DB 24 and sets the name and address of the recipient 5 included in the delivery history information. The corresponding recipient ID is specified, and the delivery date and time included in the delivery history information is registered in the data table of the delivery date and time DB 26 corresponding to this recipient ID.

As illustrated in FIG. 5B, when updating the absence date / time DB 27, the DB update means 22 included in the scheduled delivery group device 2 records all the records storing the absence date / time whose date / time is earlier than the predetermined period. By executing the process of deleting from the DB 27, the absent date and time whose date and time is earlier than the predetermined period is deleted from the absent date and time DB 27 (S3). Next, the DB update means 22 included in the delivery schedule group device 2 acquires the absence history information whose absence date and time is within the DB update period from the home delivery management device 4, and executes a process of registering the absence history information in the absence date and time DB 27. Then (S4), the update of the absence date / time DB27 is completed. When registering the absence date and time included in the absence history information in the absence date and time DB 27, the DB update means 22 included in the scheduled delivery group device 2 refers to the recipient DB 24 and sets the name and address of the recipient 5 included in the absence history information. The corresponding recipient ID is specified, and the absence date and time included in the absence history information is registered in the data table of the absence date and time DB 27 corresponding to this recipient ID.

As illustrated in FIG. 5C, when updating the settlement date / time DB 28, the DB update means 22 included in the scheduled delivery group device 2 sets all the records storing the settlement date / time earlier than the predetermined period as the settlement date / time. By executing the process of deleting from the DB 28, the settlement date and time whose date and time is earlier than the predetermined period is deleted from the settlement date and time DB 28 (S5). Next, the DB update means 22 included in the delivery schedule group device 2 acquires the settlement history information whose settlement date and time is within the DB update period from the settlement history management device 3, and sets the settlement date and time included in the settlement history information as the settlement date and time DB 28. The process of registering in is performed (S6), and the update of the settlement date / time DB 28 is completed. The DB update means 22 included in the delivery schedule group device 2 acquires the owner information from the payment history management device 3 in addition to the payment history information whose payment date and time is within the DB update period, refers to the recipient DB 24, and refers to the owner information. The recipient ID corresponding to the name and address of the recipient 5 included in is specified, and the settlement date and time included in the settlement history information corresponding to the owner information is registered in the data table of the settlement date and time DB 28 corresponding to this recipient ID. To do.

Next, the operation of the home prediction means 20 included in the scheduled delivery group device 2 will be described with reference to FIG. FIG. 6 is a diagram illustrating the operation of the home prediction means 20 included in the delivery schedule assembly device 2. The home prediction means 20 included in the delivery schedule group device 2 executes a process of updating the home prediction table 230 registered in the recipient DB 24 every DB update period (for example, one month).

In the process of updating the home prediction table 230 registered in the recipient DB 24, the home prediction means 20 included in the delivery schedule group device 2 sets the home probability level for each recipient ID stored in the record of the recipient DB 24. The process of setting the home probability level to "low" (S10), the process of setting the home probability level to "high" (S11), and the process of setting the home probability level to "medium" (S12) are executed in order.

FIG. 7 is a diagram illustrating a process (S10) of setting the home probability level to “low”. In the process of setting the home probability level to "low" (S10), the home prediction means 20 included in the delivery schedule group device 2 acquires the occupation ID from the record of the recipient DB 24 to be processed (S100). The working days and working hours corresponding to this occupation ID are acquired from the occupation DB 25 (S101).

Next, the home prediction means 20 included in the delivery schedule group device 2 is the work day obtained from the occupation DB 25 in the home prediction table 230 corresponding to the recipient ID stored in the record of the recipient DB 24 to be processed. Set the home probability level of the day of the week / time zone corresponding to the working hours to “low” (S102).

Next, the home prediction means 20 included in the delivery schedule group device 2 refers to the settlement date / time DB 28 and is stored in the data table corresponding to the recipient ID stored in the record of the recipient DB 24 to be processed. For the settlement date and time, the number of settlement dates and times corresponding to the day of the week and time zone is totaled for each day of the week and time zone included in the home forecast table 230 (S103), and the number of settlements is equal to or greater than the first reference number. Set the home probability level for the day of the week and the time zone to be "low" (S104).

Next, the home prediction means 20 included in the delivery schedule group device 2 refers to the absence date / time DB 27 corresponding to the recipient ID stored in the record of the recipient DB 24, and determines the number of corresponding cases of absence date / time for each day of the week / time zone. After totaling, the process of setting the home probability level to "low" (S105) and the home probability level to "low" (S10) for the days and times when the number of hits on the absence date and time is equal to or greater than the second reference number. ) Ends.

FIG. 8 is a diagram illustrating a process (S11) of setting the home probability level to “high”. In the process of setting the home-based probability level to "high" (S11), the home-based prediction means 20 included in the delivery schedule group device 2 specifies the day of the week and the time zone in which the corresponding number of settlement dates and times is equal to or less than the third reference number ( S110), from the specified day / time zone, the home probability level is set to “high” for the day / time zone for which the home probability level is not set to “low” (S111).

Next, the home prediction means 20 included in the delivery schedule group device 2 refers to the delivery date / time DB 26 corresponding to the recipient ID stored in the record of the recipient DB 24, and determines the corresponding number of delivery dates / times for each day of the week / time zone. After totaling, the number of cases corresponding to the delivery date and time is equal to or more than the fourth standard number, and the home probability level is not set to "low". The home probability level for the day of the week / time zone is set to "high" (S112). , The process of setting the home probability level to "high" (S11) ends.

FIG. 9 is a diagram illustrating a process of setting the home probability level to “medium”. In the process (S12) of setting the home probability level to "medium", the home prediction means 20 included in the delivery schedule group device 2 is included in the home prediction table 230 corresponding to the recipient ID stored in the record of the recipient DB 24. The home probability level is set to "medium" for the day / time zone for which the home probability level is not set to either "high" or "low" (S120). The process of setting the level to "medium" (S12) ends.

Next, the operation of the delivery schedule group means 21 of the delivery schedule group device 2 that reflects the home prediction of the recipient 5 in the delivery schedule group will be described. Except for the fact that the home forecast of the recipient 5 is reflected in the delivery schedule group, the method of creating the delivery schedule of the delivery 41 can use the conventional technique. Therefore, here, the home forecast of the recipient 5 is reflected in the delivery schedule group. Only the points to be made will be described.

FIG. 10 is a diagram illustrating the operation of the delivery schedule assembly means 21 of the delivery schedule assembly device 2. When the delivery request information of the home delivery 41 whose delivery date is the next day is transmitted from the home delivery management device 4, the delivery schedule group means 21 of the delivery schedule group device 2 executes a process of creating a delivery schedule of the delivery 41.

In the process of creating the delivery schedule of the delivery item 41, the delivery schedule grouping means 21 of the delivery schedule group device 2 first extracts the delivery request information with a time designation from the delivery request information transmitted from the delivery management device 4. (S20), on the delivery date of the delivery item 41, the delivery time of the delivery item 41 related to the delivery request information having a time designation is determined in the time zone specified by the delivery request information (S21).

Next, the delivery schedule group means 21 of the delivery schedule group device 2 extracts the delivery request information without time designation from the delivery request information transmitted from the delivery management device 4 (S22), and delivers without time designation. The loop process (S23) that is repeated for each request information is executed.

In the loop processing (S23), the delivery schedule grouping means 21 of the delivery schedule grouping device 2 uses the address and name of the recipient 5 and the recipient DB 24 included in the delivery request information without specifying the time, and the delivery schedule grouping means 21 of the recipient 5. After specifying the recipient ID, the home prediction table 230 corresponding to the recipient ID is specified as the home prediction table 230 of the recipient 5 from the home prediction DB 23 (S24).

Next, the delivery schedule group means 21 of the delivery schedule group device 2 refers to the home prediction table 230 of the recipient 5, and is a time zone in which the home probability level is set to “high” on the delivery date of the delivery 41. Is extracted, and it is confirmed whether the delivery time of the delivery 41 can be set in this time zone (S25). When the delivery time of the delivery 41 can be set in the time zone when the home probability level is set to "high", the delivery schedule group means 21 of the delivery schedule group device 2 sets the delivery time of the delivery 41 to the home probability level ". The time zone set to "high" is determined (S26), and the loop processing (S23) ends.

When the delivery time of the delivery 41 cannot be set in the time zone when the probability level of being at home is “high”, the delivery schedule group means 21 of the delivery schedule group device 2 refers to the home prediction table 230 of the recipient 5 and delivers the delivery 41. On the delivery date of, the time zone in which the home probability level is “medium” is extracted, and it is confirmed whether the delivery time of the delivery 41 can be set in this time zone (S27). When the delivery time of the delivery 41 can be set in the time zone when the home probability level is set to "medium", the delivery schedule group means 21 of the delivery schedule group device 2 sets the delivery time of the delivery 41 to the home probability level ". The time zone set to "Medium" is determined (S28), and the loop processing (S23) ends.

When the delivery time of the delivery 41 cannot be set in the time zone when the probability level of being at home is "medium", the delivery schedule group means 21 of the delivery schedule group device 2 refers to the home prediction table 230 of the recipient 5 and delivers the delivery 41. On the delivery date of, the delivery time of the delivery item 41 is determined in the time zone in which the home probability level is set to "low" (S29), and the loop processing (S23) ends.

In this way, the delivery schedule grouping means 21 of the delivery schedule group device 2 sets the delivery schedule of the home delivery 41, so that the time zone in which the home probability level is not set to "low" is preferentially used for this home delivery. The delivery time of the delivery item 41 can be determined, and the delivery time of the delivery item 41 can be determined by preferentially using the time zone in which the home probability level is set to "high".

1 System configuration 2 Delivery schedule group device 20 Home prediction means 21 Delivery schedule group means 22 DB update means 23 Home prediction DB
230 Home Forecast Table 24 Recipient DB
25 Occupation DB
26 Delivery date and time DB
27 Absence date and time DB
28 Settlement date and time DB
3 Payment history management device 4 Delivery management device 41 Delivery delivery 5 Recipient 50 Payment card

Claims (6)

It is equipped with a home prediction means that generates a home prediction table that stores the home probability level for each day of the week and time zone for each recipient, and a delivery schedule group means that reflects the recipient's home prediction in the delivery schedule group of the delivery.
In the home prediction table of the recipient, the home prediction means sets the home probability level of the day / time zone when the number of corresponding payment dates and times settled by the recipient using the payment card is equal to or higher than the first reference number. Set to
The delivery schedule grouping means refers to the recipient's home prediction table when making a delivery of a parcel delivery service at an unspecified time, and the home delivery probability level is set to "low" on the delivery date of the parcel delivery service. Determining the delivery time of this parcel by preferentially using no time zone,
A delivery schedule assembly device characterized by that. The home-based prediction means is characterized in that, in the home-based prediction table of the recipient, the home-based probability level of the day of the week / time zone corresponding to the working day / working time determined by the recipient's occupation is set to "low". The delivery schedule assembly device according to claim 1. The home prediction means sets the home probability level of the day / time zone when the number of cases corresponding to the absence date and time when the absence contact form was issued to the recipient is equal to or more than the second reference number in the home prediction table of the recipient to "low". The delivery schedule assembly device according to claim 2, characterized in that it is set. The home-based prediction means is a day of the week / time zone in which the home-based probability level is not set to "low" in the recipient's home-based prediction table, and the number of cases corresponding to the settlement date / time is equal to or less than the third reference number. The home probability level of the time zone is set to "high", and the delivery schedule group means refers to the home delivery prediction table of the recipient when making a delivery of a delivery that is not specified by a time, and delivers this delivery. Any one of claims 1 to 3, characterized in that the delivery time of this home delivery is determined by preferentially using the time zone in which the home probability level is set to "high" on the day of the week. Scheduled delivery set device described in. In the home prediction means, the day / time when the number of deliveries delivered to the recipient is equal to or greater than the fourth standard number from the days / hours for which the home probability level is not set to "low". The delivery schedule assembly device according to claim 4, wherein the home probability level of the belt is set to "high". At least, by setting the home probability level of the day of the week / time zone when the number of payments settled by the recipient using the payment card is equal to or greater than the first standard number to "low", each day of the week / time zone When assembling a home prediction means that generates a home prediction table that stores the home probability level for each recipient and a delivery of a home delivery that does not specify a time, the delivery of this home delivery is referred to by the recipient's home prediction table. By preferentially determining the delivery time of this delivery by using the time zone in which the home probability level is not set to "low" on the day of the week, the recipient's home prediction is reflected in the delivery schedule group of the delivery. A computer program that makes a computer function as a means of delivery schedule.