WO2024047778A1 - Mobile catering assistance system, mobile catering assistance method, and recording medium - Google Patents

Abstract

This mobile catering assistance system comprises an acquisition unit, an extraction unit, and a store opening location determination unit. The acquisition unit acquires movement information relating to customer movement. The extraction unit extracts effective movement information from the acquired movement information, the effective movement information being used in order to determine a store opening location of mobile catering. The store opening location determination unit determines a store opening location on the basis of the extracted effective movement information.

Description

Mobile sales support system, mobile sales support method, and recording medium

The present disclosure relates to a mobile sales support system and the like.

Products may be sold through mobile sales. Here, mobile sales is a type of business in which products are sold by moving to a store location using, for example, a sales vehicle.

For example, Patent Document 1 describes a technology that predicts data regarding customers on the day of mobile sales based on data regarding passengers getting on and off at stations and customers on the street, and determines sales locations, sales hours, and products to be sold. There is.

Japanese Patent Application Publication No. 2002-073941

For example, in mobile sales, the location of a store has a great influence on sales, but the location of a store may be fixed. However, deciding where to open a store is difficult.

An example of the purpose of the present disclosure is to provide a mobile sales support system that facilitates the determination of store opening locations in mobile sales.

A mobile sales support system according to an aspect of the present disclosure includes an acquisition unit that acquires movement information regarding a customer's movement, and extracts effective movement information used for determining a store opening location for mobile sales from the acquired movement information. The present invention includes an extracting means, and a store opening location determining means for determining the store opening location based on the extracted effective movement information.

A mobile sales support method according to an aspect of the present disclosure acquires movement information regarding customer movement, extracts effective movement information used for determining a store opening location for mobile sales from the acquired movement information, and The store opening location is determined based on the valid movement information.

A program according to an aspect of the present disclosure causes a computer to obtain movement information regarding a customer's movement, extract valid movement information used for determining a store opening location for mobile sales from the acquired movement information, and extract the extracted movement information. determining the store opening location based on the valid movement information;
Execute the process.

The program may be stored in a computer-readable non-transitory recording medium.

According to the present disclosure, it is possible to facilitate the determination of a store opening location in mobile sales.

1 is a block diagram showing an example of a configuration of a mobile sales support system according to a first embodiment; FIG. 2 is a flowchart showing an example of the operation of the mobile sales support system according to the first embodiment. It is an explanatory view showing an example of a mobile sales vehicle and each location. FIG. 2 is an explanatory diagram showing an example of connection between the mobile sales support system and other devices. FIG. 2 is a block diagram showing an example of a configuration of a mobile sales support system according to a second embodiment. FIG. 2 is an explanatory diagram showing an example of movement information included in a movement DB. It is an explanatory diagram showing an example of the number of customers who moved to each place by time zone. It is an explanatory view showing an example of a display of a movement route. 7 is a flowchart illustrating an example of the operation of the mobile sales support system according to the second embodiment regarding determination of a store opening location. FIG. 2 is an explanatory diagram showing an example of the hardware configuration of a computer.

Embodiments of a mobile sales support system, a mobile sales support method, a program, and a non-temporary recording medium for recording the program according to the present disclosure will be described in detail below with reference to the drawings. This embodiment does not limit the disclosed technology.

Furthermore, in each of the embodiments, a vehicle is taken as an example of a moving body on which products are loaded in mobile sales, but the present invention is not particularly limited to vehicles.

(Embodiment 1)
First, in Embodiment 1, basic functions of a mobile sales support system will be explained. FIG. 1 is a block diagram showing an example of a configuration of a mobile sales support system according to a first embodiment. The mobile sales support system 10 includes an acquisition section 101, an extraction section 102, and a store opening location determination section 103.

The acquisition unit 101 acquires movement information regarding the customer's movement. Movement information includes, for example, the location where the customer has moved. Further, the movement information may include, for example, the location and date and time when the customer moved. Here, when the movement information includes a location, it means that the movement information includes information representing the location. When the movement information includes date and time, it means that the movement information includes information representing the date and time. Date and time include date, time, and the like. For example, the movement information may be information indicating that the customer moved to a certain location at 17:50 on March 20, 2022. Further, the date and time may be a date, a time zone, or the like. For example, the movement information may be information indicating that the customer moved to a certain location at around 17:00 on March 20, 2022.

The extraction unit 102 extracts effective movement information used to determine the location of a mobile sales store from the acquired movement information. Here, the effective movement information is, for example, movement information effective for determining a store opening location.

Here, in each location, there are customers who visit many times, and there are customers who visit incidentally. It is expected that customers who visit by chance are unlikely to become customers for mobile sales if a store is opened at that location. On the other hand, customers who visit many times are expected to become customers for mobile sales if a store is opened at that location. Therefore, for example, the extraction unit 102 may extract valid movement information from the acquired movement information based on the number of times the customer moved to a predetermined location included in the movement information. Here, the predetermined location is a location that can be a store opening location among the locations included in the movement information. The predetermined location may be, for example, a location designated in advance by the user. Here, the user is a mobile sales operator, a driver of a mobile sales vehicle, or the like. Thereby, the extraction unit 102 can extract movement information including locations to which the same customer has moved many times as valid movement information. That is, movement information including the location where a potential customer in mobile sales has moved is extracted.

Furthermore, among customers who visit the same place many times, it is expected that customers who move regularly, such as to work, go to school, or live nearby, are more likely to become mobile sales customers. Therefore, the movement information includes the location and date of the customer's movement, and the extraction unit 102 extracts from the movement information based on whether the movement of the customer to a predetermined place included in the movement information is a regular movement. Valid movement information may also be extracted. Here, periodic movement includes, for example, movement at regular intervals or movement at fixed times. Specifically, periodic movement means, for example, that a customer moves to a location included in the movement information on a plurality of different days during a predetermined period of time. Alternatively, for example, regular movement means that the customer repeatedly moves to a location included in the movement information during a predetermined period on the same day of the week. Alternatively, for example, regular movement means that the customer repeatedly moves to a location included in the movement information during a predetermined period on weekdays. Or, for example, regular movement means that the customer repeatedly moved to a location included in the movement information during a predetermined period on weekends. Note that the predetermined period may be, for example, a monthly unit such as one month, a weekly unit such as one week or two weeks, or a daily unit such as 10 days. Good, but not particularly limited.

Furthermore, the movement information includes the location and date and time of the customer's movement, and the extraction unit 102 extracts information based on whether the customer's movement to the place included in the movement information is a regular movement in the same or close time period. Valid movement information may also be extracted.

The store opening location determination unit 103 determines the store opening location based on the valid movement information. For example, the store opening location determination unit 103 determines the store opening location from the location included in the valid movement information. Specifically, for example, the store opening location determining unit 103 determines the store opening location from the locations included in the valid travel information, based on the number of customers who have moved to the locations included in the valid travel information. As a result, locations with a large number of potential customers can be selected as store opening locations.

(flowchart)
FIG. 2 is a flowchart showing an example of the operation of the mobile sales support system 10 according to the first embodiment. The acquisition unit 101 acquires movement information regarding the customer's movement (step S101). Next, the extraction unit 102 extracts effective movement information used to determine a location for mobile sales from the acquired movement information (step S102). Then, the store opening location determination unit 103 determines the store opening location based on the extracted valid movement information (step S103), and the mobile sales support system 10 ends the process.

In the first embodiment, the mobile sales support system 10 extracts effective movement information from movement information regarding customer movement, and determines a store opening location based on the extracted effective movement information. This makes it easier to decide where to open a store.

In particular, for example, in mobile sales, customers who visit the same location several times may become customers if a store is opened at that location. Therefore, according to the customer's movement information, a place where the customer moves a lot can be a candidate for the store opening location, and therefore, the customer's movement information includes movement information that is effective for deciding the store opening location. Therefore, in the first embodiment, the mobile sales support system 10 extracts effective movement information from the movement information regarding the movement of the customer based on the number of times the customer has moved to a predetermined place, and extracts the extracted effective movement information. Based on this, decide on the store opening location. This makes it easier to decide where to open a store.

(Embodiment 2)
Next, Embodiment 2 will be described in detail with reference to the drawings. In Embodiment 2, an example will be described in which a store opening location and a travel route including the store opening location are determined using specific travel information as an example. In Embodiment 2, the description of contents that overlap with the above description will be omitted below to the extent that the description of Embodiment 2 is not unclear.

FIG. 3 is an explanatory diagram showing an example of a mobile sales vehicle and each location. FIG. 3 shows a mobile sales vehicle, location X, location Y, location Z, location P, and location Q. Each location is a location to which various customers have moved.

FIG. 4 is an explanatory diagram showing an example of connection between the mobile sales support system and other devices. The mobile sales support system 20 is connected to a user's terminal device 21 via a communication network NT.

The type of the user's terminal device 21 is not particularly limited, such as a smartphone, a tablet-type terminal device, or a PC (Personal Computer).

FIG. 5 is a block diagram showing a configuration example of the mobile sales support system 20 according to the second embodiment. The mobile sales support system 20 includes an acquisition section 201, an extraction section 202, a store opening location determination section 203, a reception section 204, an output control section 205, and a sales product determination section 206.

The mobile sales support system 20 has a reception section 204, an output control section 205, and a sales product determination section 206 added to the mobile sales support system 10 according to the first embodiment. The acquisition unit 201 has the function of the acquisition unit 101 according to the first embodiment as a basic function. Further, the extraction unit 202 has the function of the extraction unit 102 according to the first embodiment as a basic function. Store opening location determining section 203 has the function of store opening location determining section 103 according to the first embodiment as a basic function.

Furthermore, for example, the mobile sales support system 20 includes a mobile DB (DataBase) 2001, store opening availability information 2002, a sales record DB 2003, a product DB 2004, a purchase history DB 2005, and a mobile sales vehicle DB 2006. Note that each functional unit of the mobile sales support system 20 can refer to and update various databases and information as appropriate.

The movement DB 2001 stores, for example, movement information regarding customer movement for each customer. The movement information includes information representing the location, date and time of the customer's movement, and the like.

FIG. 6 is an explanatory diagram showing an example of movement information included in the movement DB 2001. In FIG. 6, each piece of movement information included in the movement DB 2001 is stored in association with, for example, customer identification information, date and day of the week, time zone, and location to which the customer has moved. According to the movement DB 2001 in FIG. 6, for example, the customer identified by customer identification information "A001" moves to location X at around 5:00 pm on Wednesday, June 15, 2022. According to the movement DB 2001 in FIG. 6, this customer moved to location Y at around 18:00 on Wednesday, June 15, 2022. Furthermore, the movement DB 2001 in FIG. 6 indicates that this customer moved to location X on Thursday, June 16, 2022, around 5:00 pm. According to the movement DB 2001 in FIG. 6, for example, this customer moved to location Y on Thursday, June 16, 2022, around 18:00. Furthermore, the movement DB 2001 in FIG. 6 indicates that this customer moved to location X on Friday, June 17, 2022, around 5:00 p.m. According to the movement DB 2001 in FIG. 6, for example, this customer moved to location Y on Friday, June 17, 2022, around 18:00.

According to the movement DB 2001 in FIG. 6, for example, the customer identified by customer identification information "A002" moves to location X on Wednesday, June 15, 2022 at around 5:00 p.m. According to the movement DB 2001 in FIG. 6, this customer moved to location X at around 18:00 on Wednesday, June 15, 2022. Furthermore, the movement DB 2001 in FIG. 6 indicates that this customer moved to location P on Thursday, June 16, 2022, around 5:00 p.m. According to the movement DB 2001 in FIG. 6, for example, this customer moved to location Z at around 18:00 on Thursday, June 16, 2022. According to the movement DB 2001 in FIG. 6, for example, this customer moved to location Z at around 17:00 on Friday, June 17, 2022. According to the movement DB 2001 in FIG. 6, for example, this customer moved to location X at around 18:00 on Friday, June 17, 2022.

In addition, store opening availability information 2002 is information indicating whether or not a store can be opened for each location. Further, the store opening availability information 2002 may be information indicating whether or not a store can be opened for each location, date, or day of the week. Further, the store opening availability information 2002 may be information indicating whether or not a store can be opened for each time slot for each location. Further, the store opening availability information 2002 may be information indicating whether or not a store can be opened for each location, date, day of the week, and time slot, for example.

The sales record DB 2003 includes past sales records. Past sales results are, for example, information indicating the actual sales amount relative to the number of people passing by. A specific sales record shows, for example, that when a store is opened in a place where ZZ people pass by, the sales amount is XX yen. Further, past sales results are, for example, information indicating the number of customers who actually purchased the product relative to the number of people passing by. A specific sales record is, for example, information indicating that when a store opens in a place where ZZ people pass by, the number of customers who purchase products is YY people.

The product DB 2004 stores product information for each product. Specifically, the product DB 2004 stores product identification information and product information in association with each other. The product identification information is not particularly limited, such as a product code or product name, as long as it is information that can identify the product. The product information includes, for example, the name of the product, the price of the product, the size of the product, the category of the product, and the storage temperature of the product. The product category is a category into which products provided by businesses such as retailers, manufacturers, and the like are classified. For example, the category may be a major classification, a medium classification, a minor classification, or the like. As a major classification, categories include food, clothing, housing, and the like. Further, for example, when focusing on food, the food category may be processed food, frozen food, fresh food, fresh fish, etc. as major classifications. Furthermore, the category of processed foods may be differentiated by medium classifications such as noodles, seasonings, etc. in processed foods, and more specifically, the category of noodles may be distinguished by subclassifications such as pasta, cup noodles, etc. The storage temperature of a product may be classified according to temperature, such as room temperature, refrigerated, frozen, or kept warm, or may be a specific temperature value. In the following description, the products identified by the product identification information included in the product DB 2004 are also referred to as products included in the product DB 2004.

Here, physical products will be explained as an example of objects sold by a mobile store, but the objects are not limited to products and may be services. Therefore, the product DB 2004 may store service information for each service. Alternatively, the mobile sales support system 20 may have a service DB in addition to the product DB 2004, and the service DB may store service information for each service. Note that, like the product information, the service information includes, for example, the name of the service, the price of the service, and the category of the service.

The purchase history DB 2005 stores purchase history for each customer. Specifically, the purchase history DB 2005 stores customer identification information and purchase history in association with each other. The purchase history includes, for example, information representing the product identification information of the product purchased by the customer, the price of the product, the quantity of the product, the date on which the product was purchased, and the like.

The mobile sales vehicle DB 2006 stores mobile sales vehicle information for each mobile sales vehicle. The mobile sales vehicle DB 2006 stores mobile sales vehicle identification information and mobile sales vehicle information in association with each other. For example, the mobile sales vehicle information is information representing the loading capacity of the mobile sales vehicle, the size and layout of the shelves, the temperature range in which it can be loaded, the model of the mobile sales vehicle, and the like. A mobile sales vehicle identified by the mobile sales vehicle identification information included in the mobile sales vehicle DB 2006 may be referred to as a mobile sales vehicle included in the mobile sales vehicle DB 2006.

Next, each functional section will be explained.

The acquisition unit 201 acquires movement information regarding the customer's movement. For example, the acquisition unit 201 may acquire movement information from a customer DB. Note that the movement information may be provided by various companies, or may be information obtained by sensors such as imaging devices installed at each location. For example, if the location is a train station, bus station, etc., the movement information may be provided by a railway company, a bus operating company, or the like. Alternatively, the movement information may be obtained, for example, by a mobile sales application program installed on the customer's terminal device.

Furthermore, for example, the acquisition unit 201 may acquire attribute information of each customer associated with the movement information. For example, attribute information and movement information may be associated using customer identification information. Attribute information represents the attributes of each customer. The attribute information includes, for example, the attribute value of each attribute. The expression format of the attribute value is not particularly limited. Customer attributes include, for example, gender, age, age group, occupation, and address. The address here may be at least one of residence, place of work, place of hospital visit, place of school, etc., and is not particularly limited.

<Extraction of movement information>
The extraction unit 202 extracts valid movement information as described in the first embodiment. Specifically, for example, the extraction unit 202 may extract valid movement information based on predetermined conditions. The predetermined conditions are not particularly limited.

Here, the predetermined conditions are conditions related to the potential as a location for opening a store for mobile sales. Further, the predetermined condition is a condition for narrowing down valid movement information from a large amount of movement information. Specifically, for example, the predetermined condition is a condition regarding the number of times the customer moves to a predetermined location included in the customer's movement information. As explained in Embodiment 1, it is expected that a customer who visits a predetermined location many times is likely to become a customer at the predetermined location if the predetermined location is a store opening in mobile sales. Ru. Therefore, in more detail, the predetermined condition is that the number of times the customer has moved to a predetermined location is equal to or greater than a predetermined number of times. As a result, movement information including places that the customer goes to more than a predetermined number of times is extracted as valid movement information. Note that this customer is a prospective customer for mobile sales. The predetermined number of times may be determined by the user. The predetermined number of times may be determined for each predetermined location. The predetermined number of times is determined based on the date range of the movement information to be acquired, such as whether the movement information to be acquired is one year's worth of movement information or one month's worth of movement information. It's okay.

Taking FIG. 6 as an example, according to the customer DB, the customer identified by customer identification information "A001" has moved to location X three times and moved to location Y three times. For example, when the predetermined number of times is three, the extraction unit 202 extracts movement information about the customer identified by customer identification information "A001" as valid movement information. In this way, for example, the extraction unit 202 extracts valid movement information for each customer based on the number of times they have moved to a predetermined location.

Furthermore, as explained in Embodiment 1, a customer who repeatedly moves to a predetermined location has a higher possibility of becoming a customer at the predetermined location if the predetermined location is a store opening location in mobile sales. is expected. Therefore, for example, the predetermined condition may be that movement to a predetermined location is regular movement. Thereby, the extraction unit 202 can extract movement information including a predetermined place to which the customer has periodically moved as valid movement information. As a result, movement information about potential customers who regularly go to a predetermined location is extracted.

Additionally, the predetermined condition may be that the movement to the predetermined location included in the movement information is a regular movement in the same or similar time period. As described above, periodic movement is not particularly limited. Furthermore, the predetermined condition may be a combination of multiple conditions. For example, the predetermined condition may be that the customer moves to a predetermined location a predetermined number of times or more, and that the customer moves to the predetermined location on a regular basis.

Furthermore, when the customer's attribute information is associated with the movement information, the extraction unit 202 may extract the movement information associated with the attribute information that includes a nearby address as an attribute value as valid movement information. Here, the nearby address is, for example, an address included in a target area, an address whose distance from at least one of the candidate locations is within a predetermined range, or the like. The address here is not particularly limited as mentioned above.

Further, for example, when customer attribute information is associated with travel information, the extraction unit 202 extracts travel information associated with attribute information that includes the target gender and age group as attribute values as valid travel information. It's okay.

Note that the methods for extracting effective movement information by the extraction unit 202 may be combined.

<Decision on store opening location>
Next, the store opening location determination unit 203 determines the store opening location based on the extracted valid movement information. The store opening location determination unit 203 determines the store opening location, for example, from the location included in the extracted valid movement information. The store opening location determination unit 203 may, for example, determine a travel route including the store opening location. The travel route may be, for example, a route from a specific location to a store opening location, or a route from a store opening location to a specific location. For example, the specific location is not particularly limited as long as it is a location that is the starting point or ending point of a route, such as a parking lot for a mobile sales vehicle or the location of the current vehicle.

Here, based on the store opening permission information 2002, the store opening location determination unit 203 determines the store opening location from among the locations included in the valid movement information and where opening of the store is permitted. This determines the locations where stores are permitted to open.

Specifically, for example, when the movement information includes a location to which a customer has moved, the store opening location determining unit 203 determines, based on the number of customers who have moved to that location, for each location included in the extracted valid movement information, Decide on a store opening location.

Next, an example will be described in which the store opening location determination unit 203 determines the store opening location by time zone based on the extracted effective movement information. Note that the above-mentioned store opening availability information 2002 may be information indicating whether or not a store can be opened by time zone. Therefore, based on the store opening permission information 2002, the store opening location determining unit 203 determines the store opening location from among the locations included in the valid movement information, where opening of the store is permitted for each time period.

Furthermore, for example, the store opening location determination unit 203 determines the store opening location based on the number of people who have moved to each location included in the valid movement information for each time period. The location here may be the predetermined location described above.

Specifically, for example, the store opening location determining unit 203 identifies the number of people who have moved to each location included in the valid movement information for each time period. More specifically, for example, the store opening location determining unit 203 may specify the number of customers who have moved to each location included in the extracted effective movement information, by date and time. For example, even if the same customer goes to the same place many times on the same day, the store opening location determining unit 203 may count it as one person, or count it as the number of times the customer moves. It's okay. The store opening location determination unit 203 may calculate the statistical number of people for each location by time zone as the number of customers who moved to the location, based on the number of people specified for each location by date and time zone. . The statistical number of people includes the average value, median value, mode, minimum value, maximum value, etc. For example, taking the average value as an example, the number of customers at location X on June 15, 2022 is 200, and the number of customers at location In this case, the store opening location determination unit 203 specifies that the number of customers who moved to location X around 17:00 is 210. Here, the number of customers identified represents the number of prospective customers. For example, the number of potential customers at each location is a predicted value of the number of foot traffic at each location.

FIG. 7 is an explanatory diagram showing an example of the number of customers who moved to each location by time zone. In FIG. 7, the number of customers is, for example, the number of prospective customers. In FIG. 7, for example, 17:00 hours and 18:00 hours are given as examples of time zones. For the 17:00 hour, the number of customers at location X is 210, the number of customers at location Y is 80, the number of customers at location Z is 80, and the number of customers at location P is 210. is 10 people, and the number of customers at location Q is 60 people. For the 18:00 hour, the number of customers at location X is 80, the number of customers at location Y is 120, the number of customers at location Z is 100, and the number of customers at location P. is 20 people, and the number of customers at location Q is 85 people.

<Example of deciding store opening location by time zone>
Next, for example, the store opening location determination unit 203 determines the store opening location based on the number of customers for each location by time zone.

For example, the store opening location determination unit 203 determines the store opening location with the largest number of prospective customers based on the number of prospective customers for each location for each time period. Then, the store opening location determination unit 203 determines a travel route that includes the store opening location determined for each time zone.

Taking the number of prospective customers in Figure 7 as an example, at around 17:00, location X has the largest number of customers. Therefore, the store opening location determination unit 203 determines location X as the store opening location for the 5:00 pm period. Also, at around 6pm, location Y has the largest number of people. Therefore, the store opening location determination unit 203 determines the store opening location around 18:00 to be location Y. The store opening location determination unit 203 determines a travel route including travel from location X to location Y. Note that the travel route to be determined may include a route from a specific location to a store opening location and a route from a store opening location to a specific location as described above.

Next, the reception unit 204 receives at least one of the target sales amount and the target number of store visitors. For example, the reception unit 204 may receive at least one of the target sales amount and the target number of visitors via the user's terminal device 21 through the user's operation. Note that the acquisition unit 201 may be configured to acquire at least one of the target sales amount and the target number of store visitors from a database or the like.

Next, the store opening location determination unit 203 determines the store opening location based on the received information, effective movement information, and past sales results.

For example, when the reception unit 204 receives the target sales amount, the store opening location determination unit 203 specifies the number of foot traffic required for the store opening location based on the received target sales amount and past sales results. As a process for specifically specifying the number of foot traffic, for example, the reception unit 204 may identify the number of foot traffic when the sales amount is the same as the target sales amount or similar to the target sales amount, for example. .

For example, when the reception unit 204 receives the target number of visitors, the store opening location determination unit 203 specifies the number of foot traffic required for the store opening location based on the received target number of visitors and sales performance. Specifically, as a process for identifying the number of foot traffic, for example, the reception unit 204 identifies the number of foot traffic when the number of store visitors is the same as or similar to the target number of store visitors, based on past sales results. do it.

For example, when the reception unit 204 receives the target sales amount and the target number of store visitors, the store opening location determining unit 203 calculates the number of foot traffic required for the store opening location based on the received target number of store visitors and sales results. do. Then, the store opening location determination unit 203 calculates the number of foot traffic required for the store opening location based on the received target sales amount and sales results. The store opening location determining unit 203 then calculates the number of foot traffic calculated based on the received target sales amount and sales results, and the number of foot traffic calculated based on the target number of store visitors and sales results. At least one of them may be specified as the number of people passing by. Alternatively, the store opening location determining unit 203 may calculate the number of foot traffic calculated based on the received target sales amount and sales results, and the number of foot traffic calculated based on the target number of store visitors and sales results. The statistic may be specified as the number of foot traffic.

Furthermore, for example, the store opening location determination unit 203 may determine the store opening location for each time period so that the number of potential customers for each time period satisfies a predetermined number. The predetermined number of people may be the number of people passing through specified as described above, and is not particularly limited. For example, the predetermined number of people may be the number of people input by the user via an input device. Further, for example, the predetermined number of people may be a number of people predetermined for each time period. Then, the store opening location determination unit 203 determines a store opening location where the number of customers is equal to or greater than a predetermined number based on the number of customers for each location for each time period. A case where the predetermined number of people is 80 will be explained using the number of prospective customers in FIG. 7 as an example. For the 17:00 hour period, the number of customers at each of location X, location Y, and location Z is 80 or more. The store opening location determination unit 203 determines one of location X, location Y, and location Z as the store opening location for the 17:00 time period. Regarding the 18:00 hour period, the number of customers at each of location X, location Y, location Z, and location Q is 80 or more. Further, the store opening location determination unit 203 determines one of location X, location Y, location Z, and location Q as the store opening location for 18:00. The example in which the store opening location determination unit 203 determines a travel route including the store opening location determined for each time zone is as described above.

Here, as long as the predetermined number of customers can be met for each time slot, the number of potential customers at each time slot location may or may not be maximized. To explain using the number of prospective customers in FIG. 7 as an example, when maximizing the number of prospective customers, for example, the store opening location determination unit 203 determines the store opening location at 17:00 as location X, The store opening location is determined to be location Y. However, for location X, the number of prospective customers is 80 or more both at 5:00 pm and at 6:00 pm. Therefore, in order to save time and effort for moving, the store opening location determining unit 203 may determine the store opening location around 5:00 pm and the store opening location around 6:00 pm as location X. In addition, when moving the store opening location, various time is required such as the time required for moving and the time required to clean up and prepare the mobile sales vehicle. Additionally, when moving, there are costs such as fuel costs. Although a detailed explanation will be omitted, the store opening location determination unit 203 may determine the store opening location for each time zone using these times and costs.

Furthermore, for example, the store opening location determination unit 203 may determine the store opening location for each time period so that the total number of potential customers satisfies a predetermined number. The predetermined number of people here is not particularly limited, but may be the number of people passing by, which is specified by at least one of the target sales amount and the target number of people visiting the store.

Here, similar to the example of determining store opening locations for each time period so that the number of prospective customers satisfies a predetermined number of people for each time period, if the total number of prospective customers exceeds a predetermined number, then the total number of prospective customers The number of may or may not be maximized. In such a case, the store opening location determination unit 203 may determine a travel route for a combination of store opening locations by time zone, and may determine the travel route based on the total travel distance for each travel route.

Although various store opening locations and determination methods including store opening locations have been described by the store opening location determining unit 203, the determining methods by the store opening location determining unit 203 may be combined as appropriate.

Additionally, the store opening location determination unit 203 may determine multiple travel routes. For example, the store opening location determining unit 203 selects a first travel route that includes location X as a store opening location for the 17:00 hour period and location Y as a store opening location for the 18:00 hour period; A second travel route including location Z as the store opening location of the time stand may be determined.

<Example of output of store opening location or travel route including store opening location>
Next, for example, when the store opening location is determined by the store opening location determination unit 203, the output control unit 205 outputs information regarding the store opening location. Information regarding the store opening location is not particularly limited, such as the name of the store opening location and the location of the store opening location. Although the output destination is not particularly limited, an example will be described in which the output control unit 205 outputs to the terminal device 21 of a user outside the mobile sales support system 20. The user's terminal device 21 then outputs information regarding the store opening location. Further, the output method may be output to a display device or audio output to an audio output device, and is not particularly limited. Further, for example, when the store opening location determination unit 203 determines the store opening location by time zone, the output control unit 205 outputs the information regarding the store opening location, the time zone of the store opening, and the number of prospective customers in the time zone. At least one of them may be output to the user's terminal device 21. Here, output to a display device will be explained in more detail using an example. Specifically, for example, the output control unit 205 may display the store opening location on the map on the user's terminal device 21 using a map image.

Further, for example, when a travel route including the store opening location is determined, the output control unit 205 causes the user's terminal device 21 to output the travel route including the store opening location. The user's terminal device 21 then outputs a travel route including the store opening location. As mentioned above, the output method is not particularly limited. Further, for example, when the store opening location determination unit 203 determines a travel route including store opening locations by time zone, the output control unit 205 determines the store opening location included in the travel route, the store opening time zone, and the store opening location in each time zone. At least one of the number of potential customers may be output to the user's terminal device 21. Here, output to a display device will be explained in more detail using an example. Specifically, for example, the output control unit 205 causes the user's terminal device 21 to display at least one of the travel route including the store opening location, the time zone for the store opening location, and the number of prospective customers in the map image. It's okay.

FIG. 8 is an explanatory diagram showing a display example of the movement route. The user's terminal device 21 displays an image of the map on a display device. Further, the user's terminal device 21 displays on the display device a travel route including the store opening location, a time zone for the store opening location, and prospective customers on the map image. On the screen, the moving route is represented by a dashed arrow. In FIG. 8, according to the screen, the user can confirm that if the user opens a store at location X around 5 pm, the number of potential customers is approximately 210. In FIG. 8, according to the screen, the user can confirm that if the user opens a store at location Y around 6:00 pm, the number of prospective customers is approximately 120.

Further, if the store opening locations included in the travel route differ depending on the time period, for example, the output control unit 205 may output the scheduled departure time from the store opening location in the previous time slot to the store opening location in the next time slot to the user's terminal. It may be output to the device 21. To explain using the example of FIG. 8, the output control unit 205 uses the scheduled departure time for leaving from location X, which is the store opening location at 17:00, in order to open a store at location Y, which is the store opening location at 18:00. It may be displayed on the terminal device 21 of the user.

Furthermore, if the store opening locations included in the travel route differ depending on the time period, for example, the output control unit 205 may utilize at least one of the travel times from the store opening location in the previous time slot to the store opening location in the next time slot. The information may be output to the terminal device 21 of the person. To explain using the example of FIG. 8, the output control unit 205 determines the scheduled departure time for leaving from location X, which is the store opening location at 17:00, in order to open a store at location Y, which is the store opening location at 18:00, and At least one of the travel times from location X to location Y may be output to the user's terminal device 21.

Furthermore, when a plurality of travel routes are determined by the store opening location determining unit 203, the output control unit 205 may output each of the plurality of travel routes to the user's terminal device 21, for example. Further, for example, the output control unit 205 may output each of a plurality of moving routes to the user's terminal device 21 so that the user can select each of the plurality of travel routes. For example, the output control unit 205 may cause the user's terminal device 21 to output information regarding store opening locations by time zone included in the route for the route selected by the user.

<Example of determining sales products>
The sales product determination unit 206 determines sales products from the products included in the product DB 2004 based on the target customer's attribute values and purchase history. If the attribute is age and the attribute value of the target customer is in their 20s, the sales product determining unit 206 determines the sales product based on the purchase history of past purchases by customers in their 20s. In this way, the sales product determination unit 206 may determine the sales products using demand forecasts.

Based on the product category included in the product DB 2004, the sales product determination unit 206 determines sales products that can be sold through mobile sales from the products included in the product DB 2004. For example, the sales product determination unit 206 may determine a product whose category is a predetermined category as a sales product. The predetermined category is not particularly limited. For example, the sales product determination unit 206 may determine a product whose category is noodles as a sales product. Alternatively, the sales product determination unit 206 may determine at least one of the products whose category is a predetermined category as the sales product.

In addition, the sales product determination unit 206 determines whether the products included in the product DB 2004 are included in the product DB 2004 based on the size of the products included in the product DB 2004 and at least one of the loading capacity of the mobile sales vehicle and the size of the shelf included in the mobile sales vehicle DB 2006. The products to be sold are determined from the products available. In addition, the sales product determination unit 206 selects products for sale from among the products included in the product DB 2004 based on the storage temperature of the products included in the product DB 2004 and the temperature range in which the mobile sales vehicle included in the mobile sales vehicle DB 2006 can be mounted. Decide on the product. In this way, the sales product determination unit 206 can determine products that can be loaded onto a mobile sales vehicle as sales products.

Additionally, the methods of determining sales products by the sales product determination unit 206 may be combined.

Additionally, the output control unit 205 may output the product information of the sales product to the user's terminal device 21. The product information to be output here may include the name of the product, the price of the product, the size of the product, the storage temperature of the product, and the like.

Furthermore, as described above, the object of sale in mobile sales is not limited to products, but may also be services, and the sales product determining unit 206 may determine the services to be sold in mobile sales. The method for determining the services to be sold may be the same as the method for determining the products to be sold. Note that the sales product determination unit 206 may determine both the sales service and the sales product.

(flowchart)
FIG. 9 is a flowchart showing an example of the operation of the mobile sales support system 20 according to the second embodiment regarding the determination of a store opening location. The acquisition unit 201 acquires movement information (step S201). The reception unit 204 receives at least one of the target sales amount and the target number of customers (step S202).

The extraction unit 202 extracts valid movement information (step S203). For example, in step S203, the extraction unit 202 extracts valid movement information based on a condition related to the number of times the customer moved to a predetermined location included in the movement information.

Next, the store opening location determination unit 203 determines a travel route including the store opening locations for each time zone (step S204). In step S204, the store opening location determination unit 203 determines the store opening location based on the received information, effective movement information, and past sales results.

Next, the output control unit 205 causes the user's terminal device 21 to output the determined travel route (step S205). The mobile sales support system 20 then ends the process.

As described above, in the second embodiment, the mobile sales support system 20 extracts valid movement information based on a predetermined condition regarding the number of times a customer has moved to a predetermined place included in the movement information, and based on the valid movement information, Decide on a store opening location. For example, the predetermined condition is that the number of times the customer has moved to a predetermined location included in the movement information is equal to or greater than a predetermined number of times. Alternatively, the predetermined condition is that the customer's movement to the predetermined location is a regular movement. As a result, movement information of customers who can be prospective customers is extracted. In other words, it is possible to narrow down movement information that can lead to sales. Therefore, it is possible to improve sales in mobile sales.

As mentioned above, for example, a customer who has moved to a location included in the valid movement information is a potential customer who can become a customer if a store is opened at that location. In particular, customers who visit a location many times or who visit the location regularly are more likely to become customers if a store is opened at that location. Therefore, the mobile sales support system 20 determines the store opening location based on the number of customers who have moved to the location included in the valid travel information. In this way, the store opening location can be determined based on the number of prospective customers, so it is possible to improve sales in mobile sales.

Additionally, the store opening location determination unit 203 may determine a travel route that includes the store opening location. Thereby, it is possible to facilitate the determination of the travel route including the store opening location.

Additionally, the number of potential customers at each location varies depending on the time of day. For example, in areas such as train stations where many people commute to work or school, many people gather in the morning and evening. On the other hand, in places such as plazas where people living in the neighborhood frequent, many people gather during the day. In more detail, it is assumed that the number of prospective customers is different even in the evening hours such as 17:00 and 18:00. Therefore, the mobile sales support system 20 identifies the number of people who have moved to each location included in the valid movement information for each time period for mobile sales, and opens a store for each time period based on the number of people specified for each location. Decide on a location. Furthermore, the mobile sales support system 20 may determine a route including store opening locations determined by time zone. This makes it possible to determine store opening locations for each time period based on the number of potential customers for each time period. Therefore, sales can be further improved in mobile sales.

Additionally, the mobile sales support system 20 accepts target sales amounts. Then, the mobile sales support system 20 determines the store opening location based on the received target sales amount, valid travel information, and past sales results. For example, the mobile sales support system 20 may determine the store opening location so as to meet the target sales amount. This makes it easier to achieve the target sales amount.

Additionally, the mobile sales support system 20 receives the target number of store visitors. Then, the mobile sales support system 20 determines the store opening location based on the received target number of visitors, effective travel information, and past sales results. For example, the mobile sales support system 20 may determine the store opening location so as to meet the target number of store visitors. This makes it easier to achieve the target number of visitors.

Furthermore, the mobile sales support system 20 determines the store opening location based on the store opening availability information 2002 regarding whether or not the store can be opened at the location included in the valid travel information. Thereby, for example, the user can open a store at a location where it is possible to open a store, even if the user does not know whether or not it is possible to open a store at each location.

This concludes the description of each embodiment. Each embodiment may be modified and used. A modified example is shown below.

<Modification 1>
Each embodiment has been described using an example in which a sales vehicle moves to a store opening location, stops at the store opening location, and sells products. For example, in mobile sales, a customer may stop the vehicle while traveling in a sales vehicle and sell products at the location where the vehicle is stopped. In such a case, the store opening location described in each embodiment can be rephrased as a moving location, transit location, or the like. The store opening location determination unit 203 determines a location for mobile sales, and determines a travel route including the determined location. In such a case, the vehicle does not necessarily stop at the moving location, but may pass through the moving location.

<Modification 2>
In each of the second embodiments, an example was explained in which the user's terminal device 21 outputs a route including the store opening location. For example, when the user determines the route, the customer's terminal device outputs the store opening location. It is also possible to output the route including the route. Therefore, for example, the mobile sales support system 20 further includes a second output control section that controls the output of the customer's terminal device.

For example, the reception unit 204 accepts the confirmation of the route through the user's operation via the user's terminal device 21. Then, when the route is determined, the second output control section outputs the route including the store opening location to the customer's terminal device. For example, an application program for mobile sales may be preinstalled on the customer's terminal device. Then, the customer's terminal device outputs a route including the store opening location. Similar to the output method of the user's terminal device 21, the output method may be display on a display device or audio output to an audio output device. Note that the second output control unit (not shown) may output routes including store opening locations by time zone to the customer's terminal device. This allows the customer to check when and where the mobile sales vehicles are operating. Furthermore, the second output control section (not shown) may also display current position information of the mobile sales vehicle on the customer's terminal device.

This concludes the explanation of each modification. Each embodiment and modification example may be used in combination as appropriate.

Furthermore, in each embodiment, the mobile sales support systems 10 and 20 may have a configuration in which each functional unit and a part of information are included.

Furthermore, each embodiment is not limited to the example described above, and can be modified in various ways. Furthermore, the configurations of the mobile sales support systems 10 and 20 in each embodiment are not particularly limited. For example, the mobile sales support systems 10 and 20 may be realized by one device such as one server. When each functional part of the mobile sales support systems 10 and 20 is realized by one device, for example, one device may be called a mobile sales support device, an information processing device, etc., and there are no particular restrictions. Not done. Alternatively, the mobile sales support system 20 in each embodiment may be realized by different devices depending on functions or data. For example, each functional unit may be configured by a plurality of servers and realized as the mobile sales support systems 10 and 20. For example, the mobile sales support systems 10 and 20 may be realized by a database server including each DB and a server having each functional unit.

Furthermore, in each embodiment, each piece of information and each DB may include part of the above-mentioned information. Moreover, each piece of information and each DB may include information other than the above-mentioned information. Each piece of information and each DB may be divided into a plurality of DBs and a plurality of pieces of information in more detail. In this way, the method of implementing each piece of information and each DB is not particularly limited.

Furthermore, each screen is an example and is not particularly limited. In each screen, buttons, lists, check boxes, information display fields, input fields, etc. (not shown) may be added. Also, the background color of the screen, etc. may be changed.

Further, the process of generating information etc. to be displayed on the user's terminal device 21 may be performed by the output control unit 205 of the mobile sales support system 20. Further, this process may be performed by the user's terminal device 21. Further, the process of generating information and the like to be displayed on the customer's terminal device may be performed by the second output control unit of the mobile sales support system 20. Moreover, this process may be performed by the customer's terminal device.

(Example of computer hardware configuration)
Next, an example of a hardware configuration when each device such as the mobile sales support systems 10 and 20 described in each embodiment is realized by a computer will be described. FIG. 10 is an explanatory diagram showing an example of the hardware configuration of a computer. For example, part or all of each device can be realized using any combination of a computer 80 and a program as shown in FIG. 10, for example.

The computer 80 includes, for example, a processor 801, a ROM (Read Only Memory) 802, a RAM (Random Access Memory) 803, and a storage device 804. Further, the computer 80 has a communication interface 805 and an input/output interface 806. Each component is connected to each other via a bus 807, for example. Note that the number of each component is not particularly limited, and each component is one or more.

A processor 801 controls the entire computer 80. Examples of the processor 801 include a CPU (Central Processing Unit), a DSP (Digital Signal Processor), and a GPU (Graphics Processing Unit). The computer 80 includes a ROM 802, a RAM 803, a storage device 804, and the like as storage units. Examples of the storage device 804 include semiconductor memory such as flash memory, HDD (Hard Disk Drive), SSD (Solid State Drive), and the like. For example, the storage device 804 stores OS (Operating System) programs, application programs, programs according to each embodiment, and the like. Alternatively, the ROM 802 stores application programs, programs according to each embodiment, and the like. The RAM 803 is used as a work area for the processor 801.

Additionally, the processor 801 loads programs stored in the storage device 804, ROM 802, etc. The processor 801 then executes each process coded in the program. Furthermore, the processor 801 may download various programs via the communication network NT. Further, the processor 801 functions as part or all of the computer 80. The processor 801 may then execute the processes or instructions in the illustrated flowchart based on the program.

The communication interface 805 is connected to a communication network NT such as a LAN (Local Area Network) or a WAN (Wide Area Network) through a wireless or wired communication line. Note that the communication network NT may be composed of a plurality of communication networks NT. Thereby, the computer 80 is connected to an external device or an external computer 80 via the communication network NT. Communication interface 805 serves as an interface between communication network NT and the inside of computer 80 . The communication interface 805 controls input and output of data from external devices and the external computer 80.

Further, the input/output interface 806 is connected to at least one of an input device, an output device, and an input/output device. The connection method may be wireless or wired. Examples of the input device include a keyboard, a mouse, and a microphone. Examples of the output device include a display device, a lighting device, and an audio output device that outputs audio. Further, examples of the input/output device include a touch panel display. Note that the input device, output device, input/output device, etc. may be built into the computer 80 or may be externally attached.

The hardware configuration of the computer 80 is an example. Computer 80 may include some of the components shown in FIG. Computer 80 may include components other than those shown in FIG. For example, the computer 80 may include a drive device or the like. Then, the processor 801 may read programs and data stored in a recording medium attached to a drive device or the like to the RAM 803. Examples of non-temporary tangible recording media include optical disks, flexible disks, magneto-optical disks, USB (Universal Serial Bus) memories, and the like. Further, as described above, for example, the computer 80 may include an input device such as a keyboard and a mouse. Computer 80 may have an output device such as a display. Further, the computer 80 may each have an input device, an output device, and an input/output device.

Additionally, the computer 80 may include various sensors (not shown). The type of sensor is not particularly limited. Further, the computer 80 may include an imaging device capable of capturing images and videos.

This concludes the explanation of the hardware configuration of each device. Furthermore, there are various variations in the method of implementing each device. For example, each device may be realized by an arbitrary combination of a computer and a program, each of which is different for each component. Further, the plurality of components included in each device may be realized by an arbitrary combination of one computer and a program.

Additionally, some or all of the components of each device may be realized by application-specific circuits. Further, a part or all of each component of each device may be realized by a general-purpose circuit including a processor such as an FPGA (Field Programmable Gate Array). Further, some or all of the components of each device may be realized by a combination of application-specific circuits, general-purpose circuits, and the like. Also, these circuits may be a single integrated circuit. Alternatively, these circuits may be divided into multiple integrated circuits. Further, the plurality of integrated circuits may be configured by being connected via a bus or the like.

Further, in the case where a part or all of each component of each device is realized by a plurality of computers, circuits, etc., the plurality of computers, circuits, etc. may be arranged centrally or in a distributed arrangement.

The mobile sales support method described in each embodiment is realized, for example, by being executed by the mobile sales support systems 10 and 20. Further, for example, the mobile sales support method is realized by a computer such as a server or a terminal device executing a program prepared in advance. The programs described in each embodiment are recorded on a computer-readable recording medium such as an HDD, SSD, flexible disk, optical disk, flexible disk, magneto-optical disk, or USB memory. Then, the program is executed by being read from the recording medium by the computer. The program may also be distributed via the communications network NT.

The functions of each component of the mobile sales support systems 10 and 20 in each embodiment described above may be realized by dedicated hardware, such as a computer. Alternatively, each component may be realized by software. Alternatively, each component may be realized by a combination of hardware and software.

Although the present disclosure has been described above with reference to each embodiment, the present disclosure is not limited to the above embodiments. The configuration and details of each present disclosure may include embodiments in which various changes that can be grasped by those skilled in the art within the scope of the present disclosure are applied. The present disclosure may include embodiments in which the matters described in this specification are appropriately combined or replaced as necessary. For example, matters described using a particular embodiment may be applied to other embodiments to the extent that no contradiction occurs. For example, although a plurality of operations are described in order in the form of a flowchart, the order in which they are described does not limit the order in which the plurality of operations are executed. Therefore, when implementing each embodiment, the order of the plurality of operations can be changed within a range that does not interfere with the content.

Part or all of the above embodiments can also be described as in the following additional notes. However, some or all of the above embodiments are not limited to the following.

(Additional note 1)
an acquisition means for acquiring movement information regarding a customer's movement;
Extracting means for extracting effective movement information for use in determining a store opening location for mobile sales from the acquired movement information;
Store opening location determining means for determining the store opening location based on the extracted effective movement information;
A mobile sales support system equipped with
(Additional note 2)
The extraction means extracts the effective movement information based on predetermined conditions,
The movement information includes a location to which the customer has moved;
The predetermined condition is a condition regarding the number of times the customer moves to a predetermined location included in the movement information.
Mobile sales support system described in Appendix 1.
(Additional note 3)
The predetermined condition is that the number of times the movement is greater than or equal to a predetermined number;
Mobile sales support system described in Appendix 2.
(Additional note 4)
The movement information includes the location and date and time of the movement of the customer,
The predetermined condition is that the customer's movement to the predetermined location is a regular movement;
The mobile sales support system described in Appendix 2 or 3.
(Appendix 5)
The movement information includes a location to which the customer has moved;
The store opening location determining means determines the store opening location based on the number of the customers who have moved to the location included in the valid movement information.
The mobile sales support system according to any one of Supplementary Notes 1 to 4.
(Appendix 6)
The store opening location determining means determines a travel route including the store opening location.
The mobile sales support system according to any one of Supplementary Notes 1 to 5.
(Appendix 7)
The movement information includes the location and date and time of the movement of the customer,
The store opening location determining means includes:
For each time period, identify the number of people who moved to each location included in the effective movement information,
determining the store opening location for each time period based on the number of people specified for each location;
The mobile sales support system according to any one of Supplementary Notes 1 to 5.
(Appendix 8)
The store opening location determining means determines a travel route including the store opening location determined for each time period.
Mobile sales support system described in Appendix 7.
(Appendix 9)
A reception means for receiving the target sales amount;
Equipped with
The store opening location determining means includes:
determining the store opening location based on the received target sales amount, the effective movement information, and past sales results;
The mobile sales support system according to any one of Supplementary Notes 1 to 8.
(Appendix 10)
Reception means for receiving the target number of visitors;
Equipped with
The store opening location determining means includes:
determining the store opening location based on the received target number of store visitors, the effective movement information, and past sales results;
The mobile sales support system according to any one of Supplementary Notes 1 to 9.
(Appendix 11)
The store opening location determining means determines the store opening location based on store opening availability information regarding whether or not a store can be opened at a location included in the valid movement information.
The mobile sales support system according to any one of Supplementary Notes 1 to 10.
(Appendix 12)
output control means for outputting information regarding the determined store opening location;
The mobile sales support system according to any one of Supplementary Notes 1 to 11, comprising:
(Appendix 13)
Obtain movement information about customer movement,
From the acquired movement information, extract effective movement information to be used for determining a store opening location for mobile sales,
determining the store opening location based on the extracted effective movement information;
Mobile sales support method.
(Appendix 14)
to the computer,
Obtain movement information about customer movement,
From the acquired movement information, extract effective movement information to be used for determining a store opening location for mobile sales,
determining the store opening location based on the extracted effective movement information;
The computer-readable non-transitory recording medium that records a program for executing processing.
(Additional note 15)
to the computer,
Obtain movement information about customer movement,
From the acquired movement information, extract effective movement information to be used for determining a store opening location for mobile sales,
determining the store opening location based on the extracted effective movement information;
A program that executes processing.

10, 20 Mobile sales support system 21 Terminal device 101, 201 Acquisition unit 102, 202 Extraction unit 103, 203 Store opening location determination unit 204 Reception unit 205 Output control unit 206 Sales product determination unit 2001 Mobile DB
2002 Store opening information 2003 Sales results DB
2004 Product DB
2005 Purchase history DB
2006 Mobile Sales Vehicle DB
80 Computer 801 Processor 802 ROM
803 RAM
804 Storage device 805 Communication interface 806 Input/output interface 807 Bus NT Communication network P, Q, X, Y, Z Location

Claims (14)

1. an acquisition means for acquiring movement information regarding a customer's movement;
   Extracting means for extracting effective movement information for use in determining a store opening location for mobile sales from the acquired movement information;
   Store opening location determining means for determining the store opening location based on the extracted effective movement information;
   A mobile sales support system equipped with
2. The extraction means extracts the effective movement information based on predetermined conditions,
   The movement information includes a location to which the customer has moved;
   The predetermined condition is a condition regarding the number of times the customer moves to a predetermined location included in the movement information.
   The mobile sales support system according to claim 1.
3. The predetermined condition is that the number of times the movement is greater than or equal to a predetermined number;
   The mobile sales support system according to claim 2.
4. The movement information includes the location and date and time of the movement of the customer,
   The predetermined condition is that the customer's movement to the predetermined location is a regular movement;
   The mobile sales support system according to claim 2 or 3.
5. The movement information includes a location to which the customer has moved;
   The store opening location determining means determines the store opening location based on the number of the customers who have moved to the location included in the valid movement information.
   The mobile sales support system according to any one of claims 1 to 4.
6. The store opening location determining means determines a travel route including the store opening location.
   A mobile sales support system according to any one of claims 1 to 5.
7. The movement information includes the location and date and time of the movement of the customer,
   The store opening location determining means includes:
   For each time period, identify the number of people who moved to each location included in the effective movement information,
   determining the store opening location for each time period based on the number of people specified for each location;
   A mobile sales support system according to any one of claims 1 to 5.
8. The store opening location determining means determines a travel route including the store opening location determined for each time period.
   The mobile sales support system according to claim 7.
9. A reception means for receiving the target sales amount;
   Equipped with
   The store opening location determining means includes:
   determining the store opening location based on the received target sales amount, the effective movement information, and past sales results;
   A mobile sales support system according to any one of claims 1 to 8.
10. Reception means for receiving the target number of visitors;
    Equipped with
    The store opening location determining means includes:
    determining the store opening location based on the received target number of store visitors, the effective movement information, and past sales results;
    A mobile sales support system according to any one of claims 1 to 9.
11. The store opening location determining means determines the store opening location based on store opening availability information regarding whether or not a store can be opened at a location included in the valid movement information.
    A mobile sales support system according to any one of claims 1 to 10.
12. output control means for outputting information regarding the determined store opening location;
    The mobile sales support system according to any one of claims 1 to 11, comprising:
13. Obtain movement information about customer movement,
    From the acquired movement information, extract effective movement information to be used for determining a store opening location for mobile sales,
    determining the store opening location based on the extracted effective movement information;
    Mobile sales support method.
14. to the computer,
    Obtain movement information about customer movement,
    From the acquired movement information, extract effective movement information to be used for determining a store opening location for mobile sales,
    determining the store opening location based on the extracted valid movement information;
    The computer-readable non-transitory recording medium that records a program for executing processing.

Images