JP7113051B2 - Information processing device, information processing method and information processing program - Google Patents

Description

TECHNICAL FIELD Embodiments of the present invention relate to an information processing apparatus, an information processing method, and an information processing program.

Conventionally, techniques for predicting various demands have been provided. For example, there is known a technique for predicting the demand for a facility from the number of reservations for the facility.

JP 2018-206224 A

However, with the above-described conventional technology, it is not always possible to realize an appropriate demand forecast between different industries.

For example, in the conventional technology described above, demand for a facility is predicted based on the number of reservations for the facility and the number of searches for the facility (or the number of views of the facility). As described above, the above-described prior art only makes demand predictions that are closed to one facility, and there is no concept of cross-industrials. For this reason, the conventional technology described above cannot always achieve appropriate demand forecasting between different industries.

An information processing apparatus according to the present application includes an acquisition unit that acquires information on a first business type, and based on the information acquired by the acquisition unit, a user for a second business type that is different from the first business type. and a prediction unit that predicts the demand for

According to one aspect of the embodiment, there is an effect that it is possible to realize appropriate demand forecasting among different industries.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment; FIG. 2 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 3 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; 4 is a diagram illustrating an example of a demand information storage unit according to the embodiment; FIG. 5 is a diagram illustrating an example of a business operator information storage unit according to the embodiment; FIG. FIG. 6 is a flowchart illustrating an information processing procedure according to the embodiment; FIG. 7 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. In addition, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Example of information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment; Information processing according to the embodiment is performed by the information processing apparatus 100 shown in FIG.

Prior to the description of FIG. 1, the information processing system according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. The information processing system 1 according to the embodiment includes a first operator device 10, a second operator device 20, an external device 30, and an information processing device 100, as shown in FIG. The first business operator device 10, the second business operator device 20, the external device 30, and the information processing device 100 are connected via a network N so as to be communicable by wire or wirelessly. The information processing system 1 shown in FIG. 2 includes multiple first operator devices 10, multiple second operator devices 20, multiple external devices 30, and multiple information processing devices 100. may be included.

The first business operator device 10 is an information processing device used by a first business operator belonging to a first business type. The first business operator device 10 is, for example, a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. For example, the first business operator device 10 performs various information settings for the external device 30 according to the operation of the first business operator.

Further, in this embodiment, the first type of industry is assumed to be the lodging industry that manages hotels and inns. Therefore, in the present embodiment, the first business operator belonging to the first business type is a business operator that operates hotels and inns. On the other hand, the first type of business targeted in this embodiment does not necessarily have to be the accommodation business, and the first type of business may be any type of business.

The second business operator device 20 is an information processing device used by a second business operator belonging to a second industry. The second business operator device 20 is, for example, a smart phone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like. For example, the second operator device 20 displays various information received from the information processing device 100 . In addition, the second business operator device 20 can also set various types of information for the external device 30 according to the operation of the second business operator.

Moreover, in this embodiment, the second business type is assumed to be a business type different from the first business type. For example, the second industry is an industry different from the first industry and has a predetermined relationship with the first industry. As an example, the second type of business is a business related to transportation. In the above example, the first type of business is the lodging business, so in the present embodiment, the second type of business is a type of business other than the first type of business. In this embodiment, it is assumed that the second business type is the transportation business for passengers (for example, bus companies, railway companies, and airline companies belong to this).

The external device 30 is a server device cooperating with the information processing device 100 according to the embodiment. In this embodiment, the external device 30 is assumed to be a server device that provides the accommodation reservation service T1. Note that the external device 30 and the information processing device 100 may be integrated. Therefore, the lodging reservation service T1 may be a service operated by the “company T” that manages the information processing device 100. FIG.

As described above, since the first business type is the accommodation business, a first business operator belonging to the first business type (for example, a business operator that operates a hotel or an inn) uses the first business operator device 10 to By accessing the external device 30, the lodging plan, price, availability of rooms, service contents, etc. at the company's own hotel are registered (set) in the lodging reservation service T1. Then, the external device 30 appropriately discloses the contents registered by the first business operator to the user via the lodging reservation service T1. Further, the information processing device 100 can access the external device 30 and acquire registration information registered by the first business operator.

Here, premises for performing information processing according to the embodiment will be described. For example, take a hotel company as an example of a first business operator belonging to the first type of industry. A hotel company predicts how much demand there will be for its own hotel, for example, according to the day of the week or an event, and changes the price according to the demand. For example, a hotel company may lower prices on weekdays when there are few guests, and raise prices on holidays when there are many guests. In addition, hotel companies temporarily raise prices when there is an unexpected event in the surrounding area and more guests than usual are expected even on weekdays. For this reason, the price transition (price fluctuation) of a hotel company can be said to be information that relatively accurately reflects the user's demand for each event that occurs in the hotel company's hotel or in the surrounding area.

Therefore, by paying attention to the price trends of hotel companies, it becomes possible to predict demand. The predicted demand can also be useful information for a second business operator belonging to a second business that is different from the first business, which is a hotel company. For example, as described above, if it is predicted that the demand for the surrounding area will increase due to an event, etc., it will be possible to predict traffic and tourism demand in the surrounding area. It will be possible to provide information on demand to bus companies, souvenir shops, etc., which are the second business operators belonging to

Also, as described above, there is a conventional technology that predicts the demand for a facility based on the number of reservations for the facility and the number of searches for the facility (or the number of views for the facility). , such technology does not consider price information (price transition, price fluctuation) at the facility. As described above, since the price information is information that more easily reflects the demand, it is considered that the use of this price information will give an advantage over the prior art.

Based on the above premise, the information processing apparatus 100 according to the embodiment performs information processing according to the embodiment. Specifically, the information processing device 100 acquires information about the first business type. Then, based on the acquired information, the information processing apparatus 100 predicts the user's demand for a second industry that is different from the first industry. More specifically, the information processing apparatus 100 acquires information on first businesses belonging to the first business from each of the first businesses as the information on the first business.

In addition, for example, the information processing apparatus 100 acquires, for each predetermined area, information related to the first business type in the predetermined area, and for each predetermined area, obtains information about the second business type for the user in the predetermined area. anticipate the demand for

Further, for example, the information processing device 100 acquires price information set by the first business operator for a predetermined service provided by the first business owner belonging to the first business type, as the information on the first business type. , based on this price information (for example, price fluctuations indicated by the price information), user demand for the second industry is predicted. As an example, the information processing apparatus 100 predicts the user's demand for the second business type based on whether or not the trend of price fluctuation shows a predetermined upward trend. An example of information processing according to the embodiment will be described below. Specifically, an example of information processing according to the embodiment will be described step by step with reference to FIG. Also, a storage unit included in the information processing apparatus 100 will be described as appropriate.

In the example of FIG. 1, it is assumed that the first business operator belonging to the first business type is a hotel company that manages hotels. Specifically, in the example of FIG. 1, the first business operators are Hotel H1 Co., Ltd., which is the hotel company that operates Hotel H1, Hotel H2 Co., Ltd., which is the hotel company that operates Hotel H2, and Hotel H3. Hotel H3 Co., Ltd., which is the operating hotel company, and Hotel H4 Co., Ltd., which is the hotel company operating Hotel H4, are exemplified. In the following description, Hotel H1 Co., Ltd. may be simply referred to as Hotel H1, Hotel H2 Co., Ltd. may be referred to simply as Hotel H2, Hotel H3 Co., Ltd. may be referred to simply as Hotel H3, and Hotel H4 Co., Ltd. may be referred to simply as Hotel H4.

Further, for example, when describing Hotel H1, this may indicate both or either of Hotel H1 Co., Ltd. and Hotel H1 itself. The same applies to hotels H2, H3 and H4. Moreover, each of the hotels H1 to H4 may be a chain hotel in various places, or may be a single hotel.

Now, in the example of FIG. 1, each of the hotels H1 to H4 performs various registrations with the external device 30. FIG. For example, the hotels H1 to H4 register plan information indicating accommodation plans and price information indicating prices for each accommodation plan in the external device 30 . Of course, information other than these may be registered. Further, the hotels H1 to H4 can change the registered contents at any timing, and can register price information for each date several days, weeks, or months ahead for each accommodation plan. The external device 30 stores the registration information received from each of the hotels H1 to H4 in the first industry information storage unit 121. FIG.

Here, the first industry information storage unit 121 will be described. The first business type information storage unit 121 stores information (for example, registration information) regarding the first businesses (hotels H1 to H4 in the example of FIG. 1) belonging to the first business type. In the example of FIG. 1, the first business type information storage unit 121 stores “first business type”, “first business operator”, “identification information”, “location”, “accommodation plan”, “price information”, “average price”.

The "first business type" indicates information (for example, business type name) that can identify what kind of business type the first business type is. In the example of the first business type information storage unit 121 shown in FIG. 1, "accommodation business" is input as the "first business type" corresponding to the hotels H1 to H4. “First business operator” indicates information (for example, business operator name) that can identify the first business operator. In the example of the first business type information storage unit 121 shown in FIG. 1, a formal company name such as "Hotel H1 Co., Ltd." is entered as the "first company". The “identification information” indicates information (for example, identification ID or name of the object) that can identify the object (the hotel in the example of FIG. 1) managed by the corresponding “first business operator”. “Location” indicates the location of the object (the hotel in the example of FIG. 1) identified by the “identification information”. In addition, the “location” may also include the location of the home base (for example, head office) of the first business operator.

"Accommodation plan" is information indicating an accommodation plan at the hotel identified by the "identification information". In the example of the first business type information storage unit 121 shown in FIG. 1, for example, conceptual symbols such as accommodation plan "PL11" are used, but in reality, plan name, plan content, accommodation conditions, service content This corresponds to text information, image information, or the like indicating the . "Price information" indicates the price set for the corresponding "accommodation plan". In the example of FIG. 1, for simplicity of explanation, only one "price information" is set for each "accommodation plan". "Price information" may be set to indicate the price on each date up to several months ahead.

"Average price" indicates the average price of the "price information" set in each "accommodation plan" for the hotel identified by the "identification information". As described above, the "price information" may be, for example, the price set for each date up to several days, weeks, or months ahead for each "accommodation plan", so the "average price" is For example, it may indicate the average price of the "price information" for each "accommodation plan" on each date. In this embodiment, the "average price" is used, but it does not necessarily have to be the average. For example, the median price may be used, or the maximum price or the minimum price in the "accommodation plan".

That is, in the example of the first business type information storage unit 121 shown in FIG. 1, the location of the hotel H1 is "R-ku, Tokyo", and the hotel H1 has price information "PR111" (price PR111) as an accommodation plan. An example in which an accommodation plan "PL11", an accommodation plan "PL12" with price information "PR112", and an accommodation plan "PL13" with price information "PR113" are present is shown. In the example of the first business type information storage unit 121 shown in FIG. 1, one day (for example, , February 1, 2019) is 5,500 yen.

1 shows an example in which the external device 30 has the first business type information storage unit 121, the information processing device 100 appropriately acquires information from the first business type information storage unit 121 so that the information The processing device 100 may also have the first industry information storage unit 121 . FIG. 3, which will be described later, shows such an aspect.

In such a state, the information processing apparatus 100, as the information on the first business operator belonging to the first industry, provides the first business operator for a predetermined service provided by the first business operator belonging to the first business industry. obtains the set price information from each of the first business operators (step S1). In the example of FIG. 1, the information processing apparatus 100 acquires price information set for each accommodation plan from each of the hotels H1 to H4. For example, the information processing apparatus 100 acquires price information indicating an average price obtained by averaging the price information for each accommodation plan on each date from each of the hotels H1 to H4. The information processing apparatus 100 may calculate the average price by acquiring price information set for each accommodation plan. The information processing device 100 also stores the acquired price information in the price information storage unit 122 .

Here, the price information storage unit 122 will be explained. The price information storage unit 122 stores price information regarding the first business type. In the example of FIG. 1, the price information storage unit 122 has items such as "first business type", "location", "identification information", and "date". Further, "date" is associated with actual future date information such as "February 1, 2019" and "February 2, 2019".

The "first business type" indicates information (for example, business type name) that can identify what kind of business type the first business type is. In the example of the price information storage unit 122 shown in FIG. 1, "accommodation industry" is input as the "first industry" corresponding to hotels H1 to H4. “Location” indicates the location of the object (the hotel in the example of FIG. 1) identified by the “identification information”. In addition, the “location” may also include the location of the home base (for example, head office) of the first business operator. “Identification information” indicates information that can identify each hotel (for example, identification ID or hotel name). The “identification information” is the same as that stored in the first industry information storage unit 121 .

"Date" is price information indicating the average price on the date obtained by averaging the price information for each accommodation plan on each date. For example, in the input field distinguished by the item "February 1, 2019" included in the "date" and the identification information "H1", the accommodation plan at the hotel H1 as of "February 1, 2019" Price information of PL11, price information of accommodation plan PL12 at hotel H1 as of "February 1, 2019", and price information of accommodation plan PL13 at hotel H1 as of "February 1, 2019" An average average price is entered.

In the example of the price information storage unit 122 shown in FIG. 1, the price information of the accommodation plan PL11 at the hotel H1 as of "February 1, 2019" and the accommodation plan PL11 at the hotel H1 as of "February 1, 2019" An example is shown in which the average price obtained by averaging the price information of the plan PL12 and the price information of the accommodation plan PL13 at the hotel H1 as of "February 1, 2019" is "5,500" yen. Further, in the example of the price information storage unit 122 shown in FIG. An example is shown in which the average price obtained by averaging the price information of the accommodation plan PL22 and the price information of the accommodation plan PL23 at the hotel H2 as of "February 1, 2019" is "4,500" yen.

Next, the information processing device 100 refers to the price information storage unit 122, and analyzes the price fluctuation characteristics for each first business operator based on the price fluctuation, which is the average price fluctuation according to the passage of time (step S2).

For example, in the example of the price information storage unit 122 shown in FIG. The average price on February 3, 2019 is ¥5,500, the average price on February 3, 2019 is ¥7,000, and the average price on February 4, 2019 is ¥7,100. analyze the characteristics of price fluctuations based on In such an example, the information processing apparatus 100 obtains an analysis result that the average price sharply rises between "February 3, 2019" and "February 4, 2019", even though it is a weekday. .

Further, for example, in the example of the price information storage unit 122 shown in FIG. Month 2” average price “4,500”, average price “February 3, 2019” “6,000”, average price “February 4, 2019” “6,100” ” Based on the Yen, analyze the characteristics of price movements. In such an example, the information processing apparatus 100 obtains an analysis result that the average price sharply rises between "February 3, 2019" and "February 4, 2019", even though it is a weekday. .

Next, based on the analysis result for each first business operator in step S2, the information processing apparatus 100 determines, for each predetermined area, what kind of fluctuation trend is in price fluctuations for the entire first industry located in the area. is analyzed (step S3). In the example of FIG. 1, both hotels H1 and H2 are located in the same area such as "R Ward, Tokyo". Therefore, the information processing device 100 determines what kind of fluctuation trend there is in the first type of industry located in "R-ku, Tokyo", that is, the hotels H1 and H2 located in "R-ku, Tokyo" as a whole. Analyze whether

It should be noted that any range may be set as the predetermined area. Therefore, as in this example, the predetermined area may be set in units of "wards" of administrative divisions, or may be set in units of prefectures. When the predetermined area is set on a prefecture-by-prefecture basis, the information processing device 100 analyzes the trends in price fluctuations for the hotels H1 to H4 as a whole.

For example, in the example of the price information storage unit 122 shown in FIG. 1, the information processing device 100 determines that the analysis result for the hotel H1 is “February 3, 2019” and “February 4, 2019” even though it is a weekday. , and the analysis results for Hotel H2. By comparing with the analysis result that the average price has risen sharply, is there any trend in the fluctuation trend of the average price between "February 3, 2019" and "February 4, 2019"? Analyze whether or not

Further, in steps S2 and S3, the information processing device 100 generates, for example, a graph showing fluctuations in the average price for each first business operator, and compares the generated graphs to obtain, for example, an average It may be analyzed whether or not there is any trend in price fluctuation trends.

For example, in the example of the price information storage unit 122 shown in FIG. The set price in the industry is on the rise.” In addition, based on such an analysis result, the information processing apparatus 100 determines that "since there will be some kind of event in R Ward, Tokyo on February 3 and February 4, 2019, I will go to R Ward, Tokyo even on weekdays." You can also get the analysis result that the number of visitors will increase. Assuming that information indicating such an analysis result is, for example, an analysis result AN12, the information processing apparatus 100 stores this analysis result AN12 in the demand information storage unit 123, which will be described later.

In addition, the information processing apparatus 100 uses a learning model generated by learning based on the price information so far, for example, predicts what price fluctuation characteristics will appear in what period in the future, and uses this prediction result. It may be defined as an analysis result. As an example, the information processing apparatus 100 learns what kind of relationship (tendency) is established from the date information and the track record of fluctuations in price information according to the passage of the date indicated by the date information. For example, the information processing apparatus 100 learns the tendency that the set price of the first industry in a certain area increases by 30% during a certain period. Then, the information processing apparatus 100 generates a model reflecting the learning result. For example, the information processing apparatus 100 generates a model for outputting a period during which the price is "X premium" compared to the normal time when a first industry in a certain area is input, and uses the generated model. , it may be possible to predict in which period the price will be "X premium" from the normal time.

Next, the information processing device 100 predicts the user's demand for the second industry, which is different from the first industry, based on the analysis result in step S3 (step S4). For example, the information processing apparatus 100 refers to the later-described business operator information storage unit 124, specifies a business type different from the first business type "accommodation business", and determines the specified business type as the second business type. In this example, the information processing device 100 defines the transportation business for passengers as the second business type, and is a second business operator belonging to this second business type and located in R-ku, Tokyo. Assume that the bus company EP1 is identified.

Then, the information processing apparatus 100 can predict demand such as, for example, "the user demand for the bus company EP1 located in R-ku, Tokyo will increase through February 3 and February 4, 2019". Of course, this is only an example, and the information processing apparatus 100 predicts a demand such as "From February 3 to February 4, 2019, tourism demand for tourist service providers located in R-ku, Tokyo will increase." can do. In addition, the information processing apparatus 100 predicts a demand such as, for example, "Purchasing demand for retailers (for example, souvenir shops) located in R-ku, Tokyo will increase between February 3 and February 4, 2019." be able to.

Next, the information processing apparatus 100 makes an information proposal based on the prediction result in step S4, that is, the predicted demand, to the second business operator belonging to the second industry (step S5). When the information processing device 100 specifies the bus company EP1 as the second business operator located in the R-ku, Tokyo, for example, the information processing device 100 indicates that the number of passengers may increase between February 3 and February 4, 2019. Therefore, we will provide information based on the prediction results that proposes to set special fares and increase the number of special flights. For example, the information processing device 100 transmits information based on the prediction result to the second operator device 20 of the bus company EP1.

Now, as explained so far, the information processing apparatus 100 according to the embodiment acquires information about the first type of industry. In particular, the information processing device 100 acquires price information for the first type of industry. Then, based on the acquired information, the information processing apparatus 100 predicts the user's demand for a second industry that is different from the first industry. Then, the information processing apparatus 100 provides information based on the prediction result to businesses in industries different from the first industry.

As a result, the information processing apparatus 100 according to the embodiment can realize appropriate demand prediction between different industries. For example, the information processing apparatus 100 cannot accurately predict the demand for the second type of business when information about the type of business of the second type of business is lacking. However, the information processing apparatus 100 uses the price information in the first industry, for example, which is price information that is easily affected by demand, as the first industry, so that the demand for the second industry can be appropriately met. can be predicted.

In addition, the information processing apparatus 100 can contribute to regional revitalization in units of predetermined areas as described with reference to FIG. For example, since the information processing apparatus 100 can predict the movement of users to this predetermined area, it is possible to make the local government in the predetermined area take measures and consider various tourist services. As a result, the information processing apparatus 100 can also contribute to regional revitalization.

[2. Configuration of Information Processing Device]
Next, the information processing apparatus 100 according to the embodiment will be described using FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section . For example, the information processing device 100 is a server device that performs the information processing described with reference to FIG.

(Regarding storage unit 120)
The storage unit 120 is implemented by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 has a first business type information storage unit 121 , a price information storage unit 122 , a demand information storage unit 123 and a business operator information storage unit 124 . Since the first business type information storage unit 121 and the price information storage unit 122 are as described with reference to FIG. 1, detailed description thereof will be omitted here.

(Regarding the demand information storage unit 123)
The demand information storage unit 123 stores analysis results of price fluctuations in the first industry. The demand information storage unit 123 also stores the predicted demand and the second industry corresponding to this demand. Here, FIG. 4 shows an example of the demand information storage unit 123 according to the embodiment. In the example of FIG. 4, the demand information storage unit 123 has items such as "corresponding first business operator", "analysis result", "forecast demand", and "second industry".

As described above, the information processing device 100 analyzes the characteristics of price fluctuations and the tendency of price fluctuations. It shows identification information for identifying the first operator device 10 of the operator. In the example of FIG. 1, the hotels H1 to H4 are the "corresponding first business operator".

The “analysis result” indicates the analysis result of analyzing the price fluctuation trend between the first business operators indicated by the “corresponding first business operator”. In the example of FIG. 1, both hotels H1 and H2 are located in the same area such as "R Ward, Tokyo". Therefore, the information processing device 100 determines what kind of fluctuation trend there is in the first type of industry located in "R-ku, Tokyo", that is, the hotels H1 and H2 located in "R-ku, Tokyo" as a whole. We are analyzing whether Then, the information processing apparatus 100 is information indicating the analysis result that "between February 3rd and February 4th, 2019, the set prices in the first business category in R-ku, Tokyo are on a sharp upward trend." An analysis result AN12 is obtained. Therefore, in the example of FIG. 4, "AN12" is input as the analysis result corresponding to the corresponding first business operator "H1, H2".

The “predicted demand” is demand predicted from the “analysis result” and is information indicating the user's demand for the second business type. "Second industry" indicates which industry is the second industry at this time. In the example of FIG. 4, the corresponding first business operator "H1, H2", the analysis result "AN12", the predicted demand "DM12", and the second business type "transportation (passenger bus)" are associated with each other. . In this example, the second type of business is specified by specifying the “transportation business (passenger bus)” as the second type of business that is different from the first type of business to which the first business operator “H1, H2” belongs. An example is shown in which it is predicted that there is a user demand indicated by predicted demand "DM12" for "transportation (passenger bus)" based on the analysis result "AN12".

(Regarding the business operator information storage unit 124)
The business operator information storage unit 124 stores information about a candidate business operator who receives information based on demand and who belongs to a second business category different from the first business category. Here, FIG. 5 shows an example of the business operator information storage unit 124 according to the embodiment. In the example of FIG. 5, the business operator information storage unit 124 has items such as "business operator ID", "industry", and "location".

The “business operator ID” indicates identification information identifying a candidate business operator who receives information based on demand and who belongs to a second business category different from the first business category. "Business type" indicates the type of business of the business identified by the "business ID". "Location" indicates the location of the business identified by the "Business ID". For example, the “location” may be the location of the head office of the business operator identified by the “business operator ID”, or the location where the business operator is developing services (for example, in the case of a hotel business, the hotel location).

That is, in the example of FIG. 5, the business operator identified by the business operator ID "EP1" and a candidate business operator who can be the second business operator operates a transportation business for passengers (for example, a bus company). and the location is "LC11".

(Regarding the control unit 130)
Returning to FIG. 3, the control unit 130 executes various programs stored in a storage device inside the information processing apparatus 100 using a RAM as a work area by a CPU (Central Processing Unit), MPU (Micro Processing Unit), or the like. It is realized by Also, the control unit 130 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes an acquisition unit 131, an analysis unit 132, a prediction unit 133, and a provision unit 134, and implements or executes the information processing functions and actions described below. . Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Regarding the acquisition unit 131)
Acquisition unit 131 acquires information about the first type of industry. For example, the acquisition unit 131 acquires, as the information on the first business type, information on the first businesses belonging to the first business type from each of the first businesses. Also, the acquisition unit 131 acquires information about the first business type in a predetermined area. Also, for example, the acquisition unit 131 acquires, as the information on the first business type, price information set by the first business operator for a predetermined service provided by the first business operator belonging to the first business type. For example, the acquisition unit 131 can acquire price information from an external device 30 that provides a predetermined service. The acquisition unit 131 also stores the acquired price information in the price information storage unit 122 .

Further, the acquisition unit 131 acquires price information from the price information storage unit 122 at a predetermined timing when the information processing according to the embodiment is performed, and outputs the price information to the corresponding processing unit. For example, when the analysis unit 132 analyzes price fluctuations, the acquisition unit 131 acquires price information from the price information storage unit 122 and outputs the acquired price information to the analysis unit 132 .

(Regarding the analysis unit 132)
The analysis unit 132 analyzes the price fluctuation characteristics based on the price information acquired by the acquisition unit 131 . For example, the analysis unit 132 refers to the price information storage unit 122 and analyzes the characteristics of price fluctuations for each first business operator based on price fluctuations over time. In the example of FIG. 1, the analysis unit 132 refers to the price information storage unit 122, and based on price fluctuations, which are fluctuations in the average price according to the passage of time, determines the characteristics of price fluctuations for each first business operator. Analyzing. However, analyzing the characteristics of fluctuations in the average price is merely an example, and for example, the analysis unit 132 may analyze the characteristics of fluctuations in the median price over time. In addition, in the example of FIG. 1, since there are multiple accommodation plans for each first business operator, an example of averaging the price information of each of these multiple accommodation plans for each first business operator is shown. The analysis unit 132 may focus on one specific plan for each first business operator and analyze the characteristics of price fluctuations in that plan over time.

In addition, based on the price fluctuation characteristics analyzed for each first business operator, the analysis unit 132 determines, for each predetermined area, what kind of fluctuation trend is in price fluctuation for the entire first industry located in the area. Analyze whether there is In the example of FIG. 1, both hotels H1 and H2 are located in the same area such as "R Ward, Tokyo". Therefore, the analysis unit 132 determines what kind of fluctuation trend exists in the price fluctuations of the first type of business located in "R-ku, Tokyo", that is, the hotels H1 and H2 located in "R-ku, Tokyo" as a whole. to analyze.

For this reason, the analysis unit 132 performs the processing shown in steps S2 and S3 of FIG. Also, the analysis unit 132 stores the analysis result obtained by the analysis in the demand information storage unit 123 .

(Regarding the prediction unit 133)
Based on the information acquired by the acquisition unit 131, the prediction unit 133 predicts the user's demand for a second business that is different from the first business. Specifically, the prediction unit 133 predicts the user's demand for a second business that is different from the first business and has a predetermined relationship with the first business. The prediction unit 133 also predicts user demand for the second type of business based on the price information acquired by the acquisition unit 131 .

In addition, since the acquisition unit 131 acquires information about the first business type in the predetermined area, the prediction unit 133 predicts user demand for the second business type having a predetermined relationship with the predetermined area. For example, the prediction unit 133 predicts user demand for a business related to transportation in a predetermined area as a second business.

Also, the prediction unit 133 predicts the user's demand for the second business type based on the fluctuation indicated by the information acquired by the acquisition unit 131 . For example, the prediction unit 133 predicts user demand for the second industry based on price fluctuations indicated by the information acquired by the acquisition unit 131 . As an example, the prediction unit 133 predicts the user's demand for the second business type based on whether the trend of price fluctuations shows a predetermined upward trend.

That is, the prediction unit 133 predicts the user's demand for the second business type based on the trend of price fluctuation indicated by the analysis result of the analysis unit 132 . For example, the analysis unit 132 refers to the business operator information storage unit 124, is an industry different from the first industry whose price fluctuation trend is on an upward trend, and has a predetermined relationship with the first industry. Identify the type of business and set the identified type of business as the second type of business. In addition, the prediction unit 133 is located in the same area as the area where the first business operator belonging to the first industry whose price fluctuation trend is on an upward trend among the identified second business operators belonging to the second industry is located. Identify the second industry that In the example of FIG. 1, the prediction unit 133 identifies the bus company EP1 as such a second business operator. For this reason, it can be said that the prediction unit 133 determines what kind of second industry is the target of demand based on the analysis result.

Then, in the example of FIG. 1, the prediction unit 133 predicts a demand such as "From February 3 to February 4, 2019, user demand for bus company EP1 located in R-ku, Tokyo will increase." can do. Of course, this is only an example, and the prediction unit 133 predicts a demand such as, for example, "From February 3rd to February 4th, 2019, tourism demand for tourist service providers located in R-ku, Tokyo will increase." can also In addition, the prediction unit 133 predicts demand such as, for example, "Purchasing demand for retailers (for example, souvenir shops) located in R-ku, Tokyo will increase between February 3 and February 4, 2019." can also For this reason, the prediction unit 133 performs the process shown in step S4 of FIG.

(Regarding the providing unit 134)
The provision unit 134 provides information based on the prediction result predicted by the prediction unit 133 to the second business operator belonging to the second business type. Specifically, the providing unit 134 provides information based on the prediction result predicted by the prediction unit 133 to the second operator identified by the prediction unit 133 (transmits the information to the second operator device 20). In the example of FIG. 1, since the bus company EP1 is identified as the second operator located in R-ku, Tokyo, the providing unit 134, for example, sends to the bus company EP1 "February 3, 2019 and There is a possibility that the number of passengers will increase until February 4, so we will provide information based on the prediction results that proposes to set special fares and increase the number of special flights.

Note that the information processing apparatus 100 may further include a storage unit that describes what kind of information should be provided according to the predicted demand. In such a case, the providing unit 134 refers to the storage unit, extracts information corresponding to the prediction result, and provides the extracted information.

[3. Processing procedure]
Next, the procedure of information processing according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart illustrating an information processing procedure according to the embodiment;

First, the acquisition unit 131 acquires price information regarding the first type of industry (step S101). For example, the acquisition unit 131 acquires price information set by the first business operator for a predetermined service (for example, accommodation service) provided by the first business operator belonging to the first business type. The acquisition unit 131 also stores the acquired price information in the price information storage unit 122 .

Next, the analysis unit 132 refers to the price information storage unit 122, and determines the characteristics of price fluctuations based on the price fluctuations indicated by the product information acquired by the acquisition unit 131 over time. Analysis is performed for each first business operator (step S102).

Next, based on the analysis result for each first business operator in step S102, the analysis unit 132 determines, for each predetermined area, what kind of fluctuation trend is in price fluctuations for the entire first industry located in the area. Analyze whether there is (step S103). For example, the analysis unit 132 analyzes what kind of fluctuation trend there is in price fluctuation in the entire first industry located in the same predetermined area.

Next, the prediction unit 133 predicts the user's demand for the second industry, which is a different industry from the first industry, based on the analysis result in step S103 (step S104). Then, the providing unit 134 provides information based on the prediction result predicted by the prediction unit 133 to the second business operator belonging to the second business type (step S105).

In addition, the providing unit 134 may specify, for example, a user who uses a predetermined service (for example, an accommodation service) as a target user of the demand, and distribute the advertising content to the specified user. For example, the providing unit 134 accesses the external device 30 and identifies a user who has made a reservation using the accommodation reservation service T1. Then, in the example of FIG. 1, the provision unit 134 distributes, for example, advertising content regarding the service of the bus company EP1 to the user.

As a result, for example, it becomes easier for the user to consider means of transportation at the site, and it may lead to an increase in profits for the business operator. As such, the information processing apparatus 100 according to the embodiment can provide useful information to both the user and the business by the information processing according to the embodiment.

[4. Hardware configuration]
Further, the information processing apparatus 100 according to the above embodiment is implemented by a computer 1000 configured as shown in FIG. 7, for example. FIG. 7 is a hardware configuration diagram showing an example of a computer 1000 that implements the functions of the information processing apparatus 100. As shown in FIG. Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

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

HDD 1400 stores programs executed by CPU 1100 and data used by these programs. Communication interface 1500 receives data from other devices via communication network 50 and sends the data to CPU 1100 , and transmits data generated by CPU 1100 to other devices via communication network 50 .

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

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

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via communication network 50 .

[5. others〕
Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 information processing system 10 first business operator device 20 second business operator device 100 information processing device 120 storage unit 121 first business type information storage unit 122 price information storage unit 123 demand information storage unit 124 business information storage unit 130 control unit 131 Acquisition unit 132 Analysis unit 133 Prediction unit 134 Provider

Claims (10)

an acquisition unit that acquires information about the first business type;
a prediction unit that predicts user demand for a second industry that is different from the first industry based on price fluctuations indicated by the information acquired by the acquisition unit. Device. 2. The method according to claim 1, wherein the prediction unit predicts user demand for a second industry that is different from the first industry and has a predetermined relationship with the first industry. The information processing device described. 3. The acquisition unit according to claim 1 or 2, wherein, as the information on the first business type, information on a first business operator belonging to the first business type is acquired from each of the first business operators. Information processing equipment. The acquisition unit acquires price information set by the first business operator for a predetermined service provided by the first business operator belonging to the first business type as the information on the first business type,
The information processing apparatus according to any one of claims 1 to 3, wherein the prediction unit predicts user demand for the second industry based on the price information. The acquisition unit acquires information about the first business type in a predetermined area,
The information processing apparatus according to any one of claims 1 to 4, wherein the prediction unit predicts user demand for a second business type having a predetermined relationship with the predetermined area. 6. The information processing apparatus according to claim 5, wherein the prediction unit predicts user demand for a business related to transportation in the predetermined area as the second business. 7. The prediction unit predicts user demand for the second industry based on whether the price fluctuation trend indicates a predetermined upward trend. The information processing device according to 1. 8. The method according to any one of claims 1 to 7 , further comprising a provision unit that provides information based on the prediction result predicted by the prediction unit to a second business operator belonging to the second industry. information processing equipment. An information processing method executed by an information processing device,
an obtaining step of obtaining information about the first industry;
and a prediction step of predicting user demand for a second industry that is different from the first industry based on price fluctuations indicated by the information acquired by the acquisition step. Method. an acquisition procedure for acquiring information about the first industry;
and a prediction procedure for predicting user demand for a second industry that is different from the first industry based on price fluctuations indicated by the information acquired by the acquisition procedure. information processing program.

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