Information processing device, information processing method, and program

Abstract

This invention provides an information processing device, an information processing method, and a program that enable easy identification of risks associated with outsourced logistics operations. [Solution] The information processing device according to this disclosure includes: condition information acquisition means for acquiring consignment condition information indicating logistics consignment conditions; environment information acquisition means for acquiring logistics environment information related to the logistics consignment conditions; estimated risk acquisition means for acquiring estimated risk information indicating the risk of consigning logistics in accordance with the logistics consignment conditions, estimated based on at least one of the acquired consignment condition information and the acquired logistics environment information; and risk output means for outputting the estimated risk information.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an information processing method, and a program.

Background Art

[0002] Techniques for providing information related to logistics are known. For example, Patent Document 1 discloses an information service system that provides information effective for logistics management or planning by managing the position of a vehicle and traffic conditions.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When outsourcing logistics operations to another company, there is a risk that the logistics operations may stop due to some factor if the outsourcing conditions are not appropriate. Therefore, it is preferable for the consignor (e.g., shipper) of the logistics operations to grasp the risks associated with the logistics operations outsourced to the consignee (e.g., logistics company). However, the technique disclosed in Patent Document 1 only provides information for realizing efficient logistics and cannot grasp the above-described risks.

[0005] Therefore, one of the objects to be achieved by the embodiments disclosed in this specification is to provide an information processing apparatus, an information processing method, and a program that can easily grasp the risks associated with the outsourced logistics operations.

Means for Solving the Problems

[0006] The information processing apparatus according to the first aspect of the present disclosure is condition information acquisition means for acquiring委托条件情報indicating outsourcing conditions, An environmental information acquisition means for acquiring logistics environment information related to the aforementioned logistics outsourcing conditions, Estimated risk acquisition means for acquiring estimated risk information indicating the risk of outsourcing logistics in accordance with the logistics outsourcing conditions, which is estimated based on at least one of the acquired outsourcing conditions information and the acquired logistics environment information, Risk output means for outputting the estimated risk information It holds.

[0007] In the information processing method relating to the second aspect of this disclosure, Obtain consignment conditions information that shows the logistics consignment conditions, Obtain logistics environment information related to the aforementioned logistics outsourcing conditions, Based on at least one of the acquired consignment conditions information and the acquired logistics environment information, estimated risk information is obtained that indicates the risk of consigning logistics in accordance with the logistics consignment conditions. The estimated risk information mentioned above is output.

[0008] The program relating to the third aspect of this disclosure is A step to obtain condition information, which is used to obtain consignment condition information that shows the logistics consignment conditions, An environmental information acquisition step for acquiring logistics environment information related to the aforementioned logistics outsourcing conditions, An estimated risk acquisition step of acquiring estimated risk information that indicates the risk of outsourcing logistics in accordance with the logistics outsourcing conditions, which is estimated based on at least one of the acquired outsourcing conditions information and the acquired logistics environment information, The risk output step of outputting the estimated risk information Have the computer execute it. [Effects of the Invention]

[0009] According to this disclosure, we can provide an information processing device, an information processing method, and a program that can easily identify risks related to outsourced logistics operations. [Brief explanation of the drawing]

[0010] [Figure 1] This is a block diagram showing an example of the configuration of the information processing device related to this disclosure. [Figure 2] This is a block diagram showing an example of the configuration of the information processing device related to this disclosure. [Figure 3] This is a schematic diagram showing an example of a screen displayed on the screen as a result of the output processing of the risk output unit. [Figure 4] This flowchart shows an example of the operation of the information processing device related to this disclosure. [Figure 5] This is a block diagram showing an example of the hardware configuration of a computer that implements the control unit of the information processing device relating to this disclosure. [Modes for carrying out the invention]

[0011] For clarity of explanation, the following descriptions and drawings have been omitted and simplified as appropriate. In each drawing, the same or corresponding elements are denoted by the same reference numeral, and redundant explanations have been omitted as necessary for clarity of explanation. Furthermore, each drawing is merely illustrative to illustrate one or more embodiments. Each drawing may be associated not only with one specific embodiment but also with one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing may be combined with features or steps shown in one or more other drawings to create embodiments that are not explicitly illustrated or described. Not all features or steps shown in any one drawing to illustrate an exemplary embodiment are necessarily required, and some features or steps may be omitted. The order of steps shown in any of the drawings may be changed as appropriate.

[0012] <Overview of the Embodiment> The configuration example of the information processing apparatus 1 will be described below with reference to FIG. 1. FIG. 1 is a block diagram showing an example of the configuration of the information processing apparatus 1. The information processing apparatus 1 includes a condition information acquisition unit 2, an environment information acquisition unit 3, an estimated risk acquisition unit 4, and a risk output unit 5. The information processing apparatus 1 is an arbitrary apparatus provided with computer resources, for example.

[0013] The condition information acquisition unit 2 acquires commission condition information indicating the logistics commission conditions. Here, the logistics commission conditions refer to any conditions regarding the logistics business that the consignor (for example, the shipper) commissions to the consignee (for example, the logistics company). Here, the consignor can also be referred to as the orderer who orders the logistics business in the contract for commissioning the logistics business. Also, the consignee can also be referred to as the order receiver who receives the logistics business in the contract. The logistics business can include any business related to logistics. For example, the logistics business may include storage of goods, cargo handling, transportation, and the like. The commission condition information acquired by the condition information acquisition unit 2 is, for example, information indicating the logistics commission conditions for the logistics business that the consignor has already commissioned, but may also be information indicating the logistics commission conditions for the logistics business that the consignor plans to commission.

[0014] The environment information acquisition unit 3 acquires logistics environment information related to the logistics commission conditions indicated by the commission condition information acquired by the condition information acquisition unit 2. The logistics environment information is information that is referred to as necessary for evaluating the logistics commission conditions, and is information indicating any environment regarding the logistics business. It can be said that the commission condition information is information that can be changed by the consignor, while the logistics environment information is information that cannot be changed by the consignor.

[0015] The estimated risk acquisition unit 4 acquires estimated risk information indicating the risk of entrusting logistics according to the logistics entrustment conditions, estimated based on at least one of the acquired entrustment condition information and the acquired logistics environment information. The estimated risk acquisition unit 4 may acquire the risk by performing a process of estimating the risk by the estimated risk acquisition unit 4 itself. Further, the estimated risk acquisition unit 4 may transmit at least one of the entrustment condition information and the logistics environment information to another device (for example, a server) that performs a process of estimating the risk, and acquire the risk estimated by the other device.

[0016] The risk output unit 5 outputs the estimated risk information acquired by the estimated risk acquisition unit 4. As a process of outputting the estimated risk information, the risk output unit 5 may perform, for example, a process of displaying the estimated risk information on an arbitrary display, or a process of transmitting the estimated risk information to another device.

[0017] According to the information processing apparatus 1, estimated risk information indicating the risk of entrusting logistics, estimated based on the entrustment condition information or the logistics environment information, is acquired and the estimated risk information is output. Therefore, the entruster can easily grasp the risk of the logistics business already entrusted by the entruster or the logistics business planned to be entrusted by the entruster. Such an effect can also be obtained in an information processing method including the above-described processing of the information processing apparatus 1, a program that performs the above-described processing of the information processing apparatus 1, or a non-temporary computer-readable medium storing the program.

[0018] Hereinafter, more specific embodiments will be described. <Embodiment> Hereinafter, a configuration example of the information processing apparatus 100 will be described with reference to FIG. 2. FIG. 2 is a block diagram showing an example of the configuration of the information processing apparatus 100. The information processing apparatus 100 may be any apparatus having computer resources. Specifically, it may be a server (for example, a cloud server), a personal computer, a smartphone, a tablet terminal, or the like.

[0019] As shown in Figure 2, the information processing device 100 includes a communication unit 110, a UI unit 120, and a control unit 150.

[0020] The communication unit 110 is a hardware circuit that communicates with other devices according to a predetermined communication standard, and may include software such as firmware. For this reason, the information processing device 100 may be connected to a network such as the Internet in a communicable manner. In this case, the information processing device 100 can communicate with other devices connected to the network (for example, servers, personal computers, smartphones, tablet terminals, etc.).

[0021] The UI unit 120 is a user interface device that includes an input device such as a keyboard or pointing device that accepts user input operations, and a display. The UI unit 120 may also be a touch panel in which the input device and display are integrated. Furthermore, the UI unit 120 may include only one of either the input device or the display. Also, if the information processing device 100 is a server or the like, the information processing device 100 does not need to include the UI unit 120.

[0022] Next, the control unit 150 of the information processing device 100 will be described. The control unit 150 controls the information processing device 100 and performs arbitrary processing. In this embodiment, the control unit 150 includes a condition information acquisition unit 151, an environmental information acquisition unit 152, an estimated risk acquisition unit 153, a mitigation measure acquisition unit 154, and a risk output unit 155.

[0023] The condition information acquisition unit 151 corresponds to the condition information acquisition unit 2 described above. The condition information acquisition unit 151 acquires consignment condition information indicating logistics consignment conditions. The condition information acquisition unit 151 acquires consignment condition information entered by the user into the information processing device 100 via the UI unit 120, for example, but may also acquire consignment condition information without user operation. For example, the condition information acquisition unit 151 may acquire it by reading consignment condition information stored in advance in the storage device of the information processing device 100, or by receiving it from another device via the communication unit 110. When the condition information acquisition unit 151 receives consignment condition information from another device via the communication unit 110, the other device may be a user terminal connected to the information processing device 100 in a communication-enabled manner. Here, a user terminal is a terminal device such as a personal computer, smartphone, or tablet terminal operated by a user.

[0024] In this embodiment, the logistics outsourcing conditions indicated by the outsourcing conditions information may include the scope of work for logistics operations, outsourcing fees, etc. Information indicating the outsourcing fees is also referred to as fee information. In other words, the outsourcing conditions information may include fee information. Furthermore, the logistics outsourcing conditions may be associated with identification information that identifies the contractor for the logistics operations. In other words, the outsourcing conditions information may include identification information that identifies the contractor for the logistics operations. For example, this identification information identifies the outsourced logistics company.

[0025] Here, we will explain examples of the scope of work for logistics operations that are indicated by the logistics outsourcing conditions. If the outsourced logistics operations are goods storage operations, the scope of work indicated by the outsourcing conditions information may include, for example, the location where the storage operations will be performed and the dates on which the storage operations will be performed. If the outsourced logistics operations are cargo handling operations, the scope of work indicated by the outsourcing conditions information may include, for example, the location where the cargo handling operations will be performed, the equipment used for cargo handling operations (e.g., forklifts), and the dates on which the cargo handling operations will be performed. The location where the storage operations or cargo handling operations will be performed is not limited to the point (address) where the operations will be performed, but may also mean the type of building structure where the operations will be performed and the floor number on which the operations will be performed. Furthermore, if the outsourced logistics operations are goods transportation operations, the scope of work indicated by the outsourcing conditions information may include the following. The details of the work indicated by the contract terms information may include, for example, the type of transport (land transport, sea transport, air transport, etc.), the origin and destination of transport, the transport route, the transport equipment (trucks, motorcycles, container ships, ferries, cargo planes, passenger planes, etc.), the schedule on which the transport work will be carried out, the lead time indicating the transport deadline, who will bear the tolls for the use of expressways, and the arrangement of necessary labor. If the lead time is extremely short, the logistics contractor may request to terminate the contract. Furthermore, the arrangement of tolls for the use of expressways refers to the agreement between the logistics contractor and the logistics service provider regarding who will bear the road charges when expressways or other toll roads are used for transport in emergency situations or long-distance transport. Furthermore, the arrangement of necessary labor refers to the agreement between the logistics contractor and the logistics service provider regarding who will bear the costs of labor for ancillary work such as transporting heavy goods or unpacking and setting up, and the details of the costs to be borne.

[0026] Information indicating the location where logistics operations are performed may be referred to as location information. Furthermore, if the outsourced logistics operations are transportation operations, the origin of the transportation, the destination of the transportation, or the transportation route constitutes location information. Thus, outsourcing conditions information may include location information. Also, information indicating the schedule for when logistics operations are performed may be referred to as schedule information. Therefore, outsourcing conditions information may include schedule information.

[0027] While specific examples of consignment conditions information have been provided, consignment conditions information may include other information. For example, consignment conditions information may include manufacturing information indicating the construction date of buildings used for logistics operations or the manufacturing date of equipment used for logistics operations. Here, equipment used for logistics operations is not limited to equipment used for transportation operations such as transport equipment, but also includes any equipment used for storage or cargo handling operations. Furthermore, consignment conditions information may include waiting time information indicating truck waiting time. Truck waiting time refers to the time that trucks must wait at a designated location before the start of transportation or after the completion of transportation. Specifically, truck waiting time refers to, for example, the time that trucks wait at a facility such as a logistics center until their turn at a truck berth comes, or the time that trucks wait at a facility until cargo handling operations are completed. Furthermore, consignment conditions information may include work time information indicating the time spent on cargo handling operations.

[0028] The condition information acquisition unit 151 may acquire outsourcing condition information for logistics operations that the client has already outsourced, or it may acquire outsourcing condition information for logistics operations that the client plans to outsource. Furthermore, outsourcing condition information is, for example, information based on an agreement (e.g., a contract) between the client and the contractor for logistics operations, but is not limited to this. In particular, as outsourcing condition information for logistics operations that the client has already outsourced, such outsourcing condition information may be acquired based on the actual performance of the logistics operations that the contractor has performed.

[0029] If the same client has already entered into multiple outsourcing agreements with different logistics outsourcing conditions, or if the same client plans to enter into multiple outsourcing agreements with different logistics outsourcing conditions, the condition information acquisition unit 151 may acquire multiple outsourcing condition information for the same client. In this way, the condition information acquisition unit 151 may acquire multiple outsourcing condition information for the same client.

[0030] The environmental information acquisition unit 152 corresponds to the environmental information acquisition unit 3 described above. The environmental information acquisition unit 152 acquires logistics environment information. In particular, in this embodiment, the environmental information acquisition unit 152 acquires logistics environment information related to the consignment condition information acquired by the condition information acquisition unit 151. The environmental information acquisition unit 152 may collect various logistics environment information in advance without determining its relationship to the consignment condition information. In this case, the environmental information acquisition unit 152 may acquire logistics environment information related to the consignment condition information by extracting logistics environment information related to the consignment condition information from the logistics environment information collected in advance, after the condition information acquisition unit 151 has acquired the consignment condition information.

[0031] The environmental information acquisition unit 152 acquires logistics environment information that can be obtained from a predetermined communication network, such as logistics environment information published on the Internet, using the communication unit 110. That is, the environmental information acquisition unit 152 acquires logistics environment information stored on a server that can provide such information, via the communication network. In this embodiment, as an example, the environmental information acquisition unit 152 acquires logistics environment information published on a communication network such as the Internet, but the environmental information acquisition unit 152 may acquire logistics environment information by other means. For example, the environmental information acquisition unit 152 may acquire logistics environment information that a user has entered into the information processing device 100 via the UI unit 120.

[0032] As described above, logistics environment information is information that indicates arbitrary environmental conditions for logistics operations, used to evaluate logistics outsourcing conditions. For this reason, logistics environment information can also be described as reference information used to evaluate logistics outsourcing conditions. For example, logistics environment information may be market rate information that shows the market rate for outsourcing fees for logistics operations. Market rates may be expressed, for example, as a unit price according to the content of work. Market rate information may also be information published by an association of companies belonging to the logistics industry, or information published by a designated administrative agency. Furthermore, market rate information may show a history of market rates from the past to the present. Thus, logistics environment information may include market rate information. For example, the environment information acquisition unit 152 acquires market rate information corresponding to the content of work shown in the outsourcing condition information acquired by the condition information acquisition unit 151.

[0033] Furthermore, for example, logistics environment information may also be location feature information that indicates the characteristics of a particular location (region). Location feature information may indicate characteristics related to traffic congestion, weather, or the occurrence of natural disasters. For example, the environmental information acquisition unit 152 acquires location feature information that indicates traffic congestion, weather, or natural disasters at the location indicated by the location information acquired by the condition information acquisition unit 151 as consignment condition information. In this way, logistics environment information may include location feature information that indicates traffic congestion, weather, or natural disasters at the location indicated by the location information. In particular, the environmental information acquisition unit 152 acquires location feature information corresponding to the date indicated by the schedule information acquired by the condition information acquisition unit 151 as consignment condition information. In this case, the environmental information acquisition unit 152 may acquire location feature information that indicates past traffic congestion, weather, or natural disasters for the same period corresponding to the date indicated by the schedule information. Alternatively, the environmental information acquisition unit 152 may acquire location feature information that indicates predictions of traffic congestion, weather, or natural disasters for the date indicated by the schedule information.

[0034] For example, if the location feature information indicates characteristics related to traffic congestion, the environmental information acquisition unit 152 acquires information indicating the actual congestion or congestion forecast for traffic congestion occurring at the location indicated by the location information, corresponding to the date indicated by the schedule information. Specifically, the environmental information acquisition unit 152 acquires information indicating the degree of congestion at points (roads) through which transportation equipment passes in transportation operations, as information indicating characteristics related to traffic congestion. By acquiring such information, it becomes possible to estimate, for example, the risk that the performance of transportation operations will be hindered due to the occurrence of congestion.

[0035] Furthermore, if the location characteristic information is information that indicates weather characteristics, the environmental information acquisition unit 152 acquires information that indicates the weather at the location indicated by the location information, and that corresponds to the weather record or weather forecast indicated by the schedule information. Specifically, the environmental information acquisition unit 152 acquires information that indicates the degree of severe weather or the occurrence rate of a predetermined weather condition (severe weather) at the location where storage or cargo handling operations are performed, or at the location through which transport equipment passes during transport operations, as information that indicates weather characteristics. Note that either the degree of severe weather or the occurrence rate may be acquired, or both may be acquired. Here, weather may be, for example, rainfall, snowfall or snow depth, or temperature. Note that these are merely examples of information that indicates weather characteristics, and other information may be acquired. By acquiring such information, it becomes possible to estimate, for example, the risk that the performance of storage or cargo handling operations will be hindered by severe weather.

[0036] Furthermore, if the location characteristic information is information indicating characteristics related to natural disasters, the environmental information acquisition unit 152 acquires information indicating the actual disaster or disaster prediction for natural disasters at the location indicated by the location information, corresponding to the date indicated by the schedule information. Specifically, the environmental information acquisition unit 152 acquires information indicating the occurrence rate or the scale of natural disasters that occur at locations where storage or cargo handling operations are performed, or at points through which transportation equipment passes during transportation operations, as information indicating characteristics related to natural disasters. Note that either the occurrence rate or the scale of natural disasters may be acquired, or both may be acquired. The natural disasters referred to here may be, for example, disasters caused by typhoons (e.g., river flooding or landslides), volcanic eruptions, or earthquakes. Note that these are merely examples of natural disasters, and information on other natural disasters may also be acquired. By acquiring such information, it becomes possible, for example, to estimate the risk that the implementation of logistics operations will be hindered by natural disasters.

[0037] Furthermore, for example, the logistics environment information may be publicly available case information that shows examples of fraudulent outsourcing, which has been published by a designated organization. In other words, the logistics environment information may include publicly available case information. The publicly available case information may include information that indicates the factors that led to the determination of fraudulent outsourcing (for example, whether the outsourcing fee was too low, or whether the waiting time was too long). The publicly available case information may also include identification information that identifies the client or contractor of the logistics outsourcing that was determined to be fraudulent. The publicly available case information may also include information that indicates the number of fraudulent outsourcing cases for each factor that led to the determination of fraudulent outsourcing. In this embodiment, the environment information acquisition unit 152 acquires publicly available case information that has been published during a predetermined period (for example, the most recent month). The environment information acquisition unit 152 may also acquire publicly available case information that includes identification information (i.e., identification information of the logistics contractor) acquired by the condition information acquisition unit 151 as outsourcing condition information.

[0038] Furthermore, for example, the logistics environment information may also be evaluation information that shows an evaluation of the management of the contractor (contracting company). This evaluation information can be any information that shows an arbitrary evaluation of the company's management. For example, this evaluation information may be information that evaluates the financial status of the company, or it may be information that evaluates whether the company is a company that safely carries out logistics operations based on its track record of accidents (traffic accidents, fire accidents, etc.) that have occurred in logistics operations. For example, the environment information acquisition unit 152 acquires evaluation information of a company identified by the identification information (i.e., the identification information of the contractor for logistics operations) acquired by the condition information acquisition unit 151 as contract condition information. In this way, the logistics environment information may include evaluation information about the company identified by the identification information.

[0039] The publicly available case information or evaluation information mentioned above may, for example, be information provided (published) by a designated organization that supervises or evaluates logistics. Here, the designated organization may be an administrative agency that supervises any company that outsources or undertakes logistics operations, or a company that evaluates any company that outsources or undertakes logistics operations.

[0040] The above provides specific examples of logistics environment information, but logistics environment information may include information other than that described above. Furthermore, when the environmental information acquisition unit 152 acquires logistics environment information via the communication unit 110, it may acquire the information directly from the source of the logistics environment information (for example, a government agency), or it may acquire it from a news site or a social networking service (SNS).

[0041] Next, the estimated risk acquisition unit 153 will be described. The estimated risk acquisition unit 153 corresponds to the estimated risk acquisition unit 4 described above. Therefore, the estimated risk acquisition unit 153 acquires estimated risk information estimated based on at least one of the acquired consignment condition information and the acquired logistics environment information. Here, the estimated risk information is information indicating the risk of consigning logistics according to the logistics consignment conditions indicated by the consignment condition information acquired by the condition information acquisition unit 151. This risk is estimated by performing a predetermined estimation process. That is, the estimated risk information is generated by performing a predetermined estimation process. In this embodiment, as an example, the estimated risk acquisition unit 153 itself performs this estimation process, but an external device connected to the information processing device 100 in a communicable manner may perform the estimation process, and the estimated risk acquisition unit 153 may acquire the results of the estimation process from this external device. The external device may be a server such as a cloud server.

[0042] In this embodiment, the estimation process estimates risk values ​​for each of several types of risk factors. For example, in the estimation process, based on the above-mentioned fee information obtained as consignment condition information and the above-mentioned market price information obtained as logistics environment information, a risk value indicating the magnitude of the risk with consignment fees as a risk factor is estimated. In this estimation process, for example, a higher risk value is calculated the lower the consignment fee is compared to the market price shown in the market price information corresponding to the work content. This is because, for example, if the consignment fee is too low compared to the standard fee, the contractor may request termination of the contract or it may violate laws such as the Unfair Competition Prevention Act. Also, in this estimation process, for example, a higher risk value may be calculated the higher the consignment fee is compared to the market price shown in the market price information. This is because, for example, if the consignment fee is too high, the client may not be able to secure sufficient profits. Thus, the estimated risk acquisition unit 153 may acquire estimated risk information that shows the risk estimated based on the fee information and market price information. Furthermore, in order to estimate the risk value indicating the magnitude of the risk associated with the outsourcing fee as a risk factor, information other than fee information and market price information (outsourcing conditions information or logistics environment information) may also be used. In the following, the risk associated with the outsourcing fee as a risk factor will be referred to as "price risk." By estimating price risk, users can understand the risk from the perspective of the outsourcing fee.

[0043] Furthermore, for example, in the estimation process, based on the aforementioned location feature information acquired as logistics environment information, a risk value is estimated that indicates the magnitude of risk with regional characteristics of the location (traffic congestion, weather, or characteristics of the region to which the location belongs regarding natural disasters) as risk factors. In this estimation process, for example, the greater the impact of the characteristics indicated by the acquired location feature information on logistics operations, the higher the risk value calculated. For example, the greater the degree of congestion indicated by the location feature information, the higher the risk value calculated. Also, for example, the greater the degree of bad weather or the occurrence rate of a given weather condition indicated by the location feature information, the higher the risk value calculated. Also, for example, the greater the occurrence rate or scale of natural disasters indicated by the location feature information, the higher the risk value calculated. Thus, the estimated risk acquisition unit 153 may acquire estimated risk information that indicates the risk estimated based on the location feature information of a location indicated by location information (i.e., consignment condition information). In addition, information other than location feature information (consignment condition information or logistics environment information) may be used to estimate the risk value that indicates the magnitude of risk with regional characteristics as risk factors. For example, information such as the type of building structure where logistics operations are carried out or the floor number where logistics operations are carried out may be used, or information on transportation routes or transportation equipment may be used to determine the degree of impact of congestion. Furthermore, below, risks that have regional characteristics as risk factors will be referred to as "regional characteristic risks." By estimating location-specific characteristic risks, users can understand the risks from the perspective of regional characteristics.

[0044] Furthermore, in the estimation process, for example, a risk value indicating the magnitude of the risk with respect to the contractor's evaluation is estimated based on the aforementioned evaluation information acquired as logistics environment information. In this estimation process, for example, the lower the evaluation indicated by the acquired evaluation information, the higher the risk value calculated. Thus, the estimated risk acquisition unit 153 may acquire estimated risk information indicating the risk estimated based on the evaluation information. In addition, information other than evaluation information (contracting conditions information or logistics environment information) may be used to estimate the risk value indicating the magnitude of the risk with respect to the evaluation as a risk factor. Furthermore, below, the risk with respect to the contractor's evaluation as a risk factor will be referred to as "contractor evaluation risk". By estimating the contractor evaluation risk, the user can grasp the risk from the perspective of the contractor's evaluation.

[0045] As described above, risk values ​​may be estimated based on the acquired consignment conditions information and related logistics environment information. In other words, the estimated risk acquisition unit 153 may acquire estimated risk information that shows the risk estimated based on the consignment conditions information and related logistics environment information. This makes it possible to determine whether the consignment conditions are appropriate in comparison to the logistics environment.

[0046] Thus, while logistics environment information, for example, is used in the estimation process, it is not always necessary to use logistics environment information in the estimation process. Below, we will explain some examples of such estimation processes.

[0047] For example, in the estimation process, a risk value indicating the magnitude of a risk due to the deterioration of a building or equipment may be estimated based on the manufacturing information acquired as consignment condition information. In this estimation process, for example, a higher risk value is calculated for buildings or equipment that are older in age as indicated in the manufacturing information. Thus, the estimated risk acquisition unit 153 may acquire estimated risk information indicating the risk estimated based on the manufacturing information. In addition, information other than manufacturing information (consignment condition information or logistics environment information) may be used to estimate the risk value indicating the magnitude of a risk due to deterioration. Furthermore, below, the risk due to the deterioration of a building or equipment will be referred to as "deterioration risk." By estimating deterioration risk, users can understand the risk from the perspective of building or equipment deterioration.

[0048] Furthermore, for example, in the estimation process, a risk value indicating the magnitude of the risk with respect to the degree of diversification of contractors as a risk factor may be estimated based on the aforementioned identification information of the contractor obtained as the consignment conditions information. In this estimation process, for example, a lower degree of diversification of contractors will result in a higher risk value. The degree of diversification of contractors can be identified based on the identification information of the contractors for each consignment included in multiple consignment conditions information for the same consignor. Thus, the estimated risk acquisition unit 153 may, for example, acquire estimated risk information indicating the risk estimated based on the degree of diversification of contractors. In addition, information other than the contractor's identification information (consignment conditions information or logistics environment information) may be used to estimate the risk value indicating the magnitude of the risk with respect to the degree of diversification of contractors as a risk factor. Furthermore, below, the risk with respect to the degree of diversification of contractors as a risk factor will be referred to as "contractor concentration risk." By estimating contractor concentration risk, users can grasp the risk from the perspective of dependence on specific contractors.

[0049] Furthermore, for example, in the estimation process, a risk value indicating the magnitude of risk with respect to the degree of dispersion of locations where logistics operations are performed may be estimated based on the aforementioned location information acquired as consignment condition information. In this estimation process, for example, a higher risk value is calculated the lower the geographical dispersion of locations where logistics operations are performed. Thus, the estimated risk acquisition unit 153 may acquire estimated risk information indicating risk estimated based on the degree of geographical dispersion of locations identified based on location information. In addition, information other than location information (consignment condition information or logistics environment information) may be used to estimate the risk value indicating the magnitude of risk with respect to the degree of dispersion of locations as a risk factor. Furthermore, below, the risk with respect to the degree of geographical dispersion of locations as a risk factor will be referred to as "regional concentration risk." By estimating regional concentration risk, users can grasp the risk from the perspective of dependence on a specific region.

[0050] Furthermore, in the estimation process, for example, a risk value indicating the magnitude of the risk associated with waiting time may be estimated based on the waiting time information obtained as consignment condition information. The risk associated with waiting time is the risk that arises because the actual waiting time of trucks, or the waiting time of trucks stipulated in the contract, is not of an appropriate length. In other words, this risk can be described as the risk that the consignor (shipper) may be judged by the contractor, etc., as having outsourced inappropriate logistics operations, or that delays may occur in the logistics operations. In this estimation process, for example, if actual values ​​are obtained as waiting time information, a higher risk value will be calculated the longer the actual waiting time. This is because, generally, in logistics outsourcing contracts, the length of waiting time often does not affect the outsourcing fee, so a long actual waiting time means that the logistics operations undertaken will be unprofitable for the contractor. Also, for example, if the waiting time stipulated in the contract is obtained as waiting time information, a higher risk value will be calculated the shorter the waiting time. This is because if the waiting time stipulated in the contract is too short, there is a risk that the logistics operations will not be carried out according to schedule, and delays may occur in the logistics operations. Furthermore, as consignment condition information, both the contractual waiting time and the actual waiting time may be acquired, and estimation processing may be performed based on the difference between these. In this way, the estimated risk acquisition unit 153 may acquire estimated risk information that shows the risk estimated based on the waiting time information, for example. In addition, information other than waiting time information (consignment condition information or logistics environment information) may be used to estimate the risk value that shows the magnitude of the risk in which waiting time is a risk factor. Furthermore, below, the risk in which waiting time is a risk factor will be referred to as "waiting time risk". By estimating the waiting time risk, the user can grasp the risk from the perspective of waiting time.

[0051] Furthermore, similar to waiting time, the estimation process may, for example, estimate a risk value indicating the magnitude of the risk associated with cargo handling time as a risk factor, based on the aforementioned work time information obtained as consignment condition information. The risk associated with cargo handling time as a risk factor is the risk that arises because the actual cargo handling time, or the cargo handling time stipulated in the contract, is not of an appropriate length. In other words, this risk can be described as the risk that the consignor (shipper) may be judged by the contractor, etc., as having outsourced inappropriate logistics operations, or that delays may occur in logistics operations. In this estimation process, for example, if actual values ​​are obtained as work time information, a higher risk value will be calculated the longer the actual work time. This is because, generally, in logistics outsourcing contracts, the length of work time often does not affect the outsourcing fee, so a long actual work time means that the logistics operations undertaken will be unprofitable for the contractor. Also, for example, if the work time obtained is the work time stipulated in the contract, a higher risk value will be calculated the shorter the work time. If the work time stipulated in the contract is too short, logistics operations may not be carried out according to schedule, potentially causing delays. Furthermore, both the contractual work time and the actual work time may be acquired as consignment condition information, and estimation processing may be performed based on the difference between these. Thus, the estimated risk acquisition unit 153 may, for example, acquire estimated risk information showing the risk estimated based on the work time information. In addition, information other than work time information (consignment condition information or logistics environment information) may be used to estimate the risk value indicating the magnitude of the risk with cargo handling work time as a risk factor. Furthermore, below, the risk with cargo handling work time as a risk factor will be referred to as "work time risk." By estimating the work time risk, users can grasp the risk from the perspective of work time. Note that the work time risk may include the risk that the contractor is performing work outside the scope of the consigned work, i.e., work other than the contracted work, or is judged to appear to be performing such work. For example, even if the contract only entrusts transportation services, cargo handling services outside the contract, such as labeling packages or moving packages within the base, may occur.In such cases, the long working hours may lead to the conclusion that the contractor is performing work outside the scope of the contracted work, or that it appears that way.

[0052] In this embodiment, various risk values ​​corresponding to the various risk factors described above are calculated in the estimation process, but it is not necessary to calculate all of the above-mentioned risk values ​​in the estimation process. That is, in the estimation process, it is sufficient to calculate one or more of the various risk values ​​corresponding to the various risk factors described above. Furthermore, in the estimation process, the above-mentioned risk values ​​may be calculated according to a predetermined calculation algorithm (i.e., predetermined calculation rules), or the risk values ​​may be calculated using a pre-trained machine learning model (e.g., a deep learning model). This machine learning model may be, for example, a model that has been pre-trained by using pairs of input data (input data to the model) including logistics consignment conditions and logistics environment information, and the risk values ​​which are the correct values ​​of the model's output data, as training data. Furthermore, this machine learning model may be a large language model (LLM), which is a machine learning model that provides a Generative Artificial Intelligence (AI) service.

[0053] When various risk values ​​corresponding to various risk factors are calculated, the estimation process may calculate an overall risk value that is a combination of these values. In this case, the estimation process may calculate the overall risk value based on the risk values ​​calculated for each of the multiple types of risk factors and the importance of each risk factor. That is, the estimated risk information acquired by the estimated risk acquisition unit 153 may include information that includes the overall risk value calculated based on the risk values ​​calculated for each of the multiple types of risk factors and the importance of each risk factor. The importance of a risk factor can also be expressed as the importance of the risk value corresponding to that risk factor. By acquiring estimated risk information that shows the overall risk value, users can easily grasp the overall risk from various perspectives.

[0054] The importance of each risk factor may be predetermined, or it may be set by the user. For example, if the owner of a shipper is close to the owner of a particular logistics company, has strong trust in that particular logistics company, or has a long-term contract with that particular logistics company, the concentration of outsourcing to that particular logistics company may not be perceived as a risk by the shipper. In such cases, the user (shipper) may set the importance of the risk of company concentration lower than the predetermined value. Also, for example, if the scope of business activities (market area) of a shipper is limited to a specific region, it is unavoidable that logistics operations will be conducted only within that region. For this reason, in such cases, the user (shipper) may set the importance of the risk of regional concentration lower than the predetermined value. In this way, the estimated risk acquisition unit 153 may acquire an overall risk value calculated using the importance set by the user. This allows the user to grasp risks that have been appropriately evaluated according to the user's circumstances.

[0055] Furthermore, the importance values ​​for each risk factor used in calculating the overall risk value may be set based on publicly available case information related to that risk factor. In this case, for example, the estimated risk acquisition unit 153 sets the importance of the risk factors related to the publicly available case information based on the publicly available case information acquired by the environmental information acquisition unit 152 as logistics environmental information. Specifically, for example, if the acquired publicly available case information discloses cases of fraudulent outsourcing due to excessively low outsourcing fees, it can be considered that the appropriateness of outsourcing fees is important in the logistics industry. Therefore, in this case, the importance of the risk factor corresponding to the outsourcing fee may be changed to a value greater than the predetermined setting value. In this way, the overall risk value may be calculated using values ​​set based on whether or not publicly available case information related to that risk factor has been acquired, as the importance values ​​for each risk factor. This is expected to allow for a more appropriate assessment of risk.

[0056] The overall risk value can be calculated, for example, from the importance and risk value of each risk factor according to a predetermined calculation algorithm (i.e., predetermined calculation rules), but it may also be calculated using a pre-trained machine learning model. This machine learning model may also be a large-scale language model (LLM) that provides generative AI services.

[0057] Next, the risk reduction measures acquisition unit 154 will be described. The risk reduction measures acquisition unit 154 acquires risk reduction information that indicates measures to reduce the estimated risk. In this embodiment, the risk reduction measures acquisition unit 154 acquires risk reduction information using a large-scale language model (LLM), which is a machine learning model that provides a service for the generative AI. For example, the risk reduction measures acquisition unit 154 generates a prompt (instruction statement) that includes the information used in the estimation process described above and an instruction statement that instructs the output of risk reduction measures for the estimated risk using this information, and inputs this prompt to a pre-trained large-scale language model (generative AI). The risk reduction measures acquisition unit 154 then acquires the information output from the large-scale language model (generative AI) as risk reduction information. In this way, the risk reduction measures acquisition unit 154 may acquire risk reduction information from the large-scale language model by inputting an instruction statement generated based on the information used to estimate the risk to the large-scale language model. Note that the processing using the large-scale language model may be executed by the risk reduction measures acquisition unit 154 itself. That is, the information processing device 100 may have a large-scale language model. However, if an external device (server) connected to the information processing device 100 in a communicative manner has a large-scale language model, the mitigation measure acquisition unit 154 may acquire the output of the large-scale language model from this external device. The external device may be a server such as a cloud server.

[0058] The risk output unit 155 performs processing to output information. As part of the information output processing, the risk output unit 155 may, for example, display the information on any display, or transmit the information to another device. The risk output unit 155 corresponds to the risk output unit 5 described above. Therefore, the risk output unit 155 outputs the estimated risk information acquired by the estimated risk acquisition unit 153. The risk output unit 155 also outputs the risk reduction information acquired by the mitigation measure acquisition unit 154. This allows the user to easily learn about risk reduction measures.

[0059] Figure 3 is a schematic diagram showing an example of a screen displayed on a display such as the UI unit 120 as a result of the output processing of the risk output unit 155. In the example shown in Figure 3, the screen 90 displays the estimated risk value 91 for each risk factor, the importance level 92 set for each risk factor, the risk value 93 corrected using the importance level 92, and the overall risk value 94 calculated using the corrected risk value 93. In the example shown in Figure 3, the risk value 93 obtained by multiplying the risk value 91 by the importance level 92 is shown, but the calculation of the risk value 93 is not limited to this. Also, as shown in Figure 3, the risk output unit 155 may output urgency information 95 indicating the urgency of implementing measures to reduce risk. The urgency information 95 is calculated, for example, from the overall risk value 94. Also, as shown in Figure 3, the risk output unit 155 outputs risk reduction information 96 acquired by the risk reduction measures acquisition unit 154.

[0060] In Figure 3, "vendor risk" shown as a risk factor refers to either or both of the "vendor concentration risk" or "vendor evaluation risk" mentioned above. Similarly, "regional risk" shown as a risk factor refers to either or both of the "regional concentration risk" or "regional characteristic risk" mentioned above.

[0061] Furthermore, screen 90 includes information showing the trend of risk. Specifically, screen 90 includes a graph 97 showing the trend of the overall risk value. In other words, the risk output unit 155 may output the trend of risk. This allows the user to easily grasp the trend of risk. The logistics environment is not constant and can fluctuate daily. Therefore, the logistics environment information acquired by the environmental information acquisition unit 152 may differ depending on the timing of acquisition. Also, the content of the consignment conditions information may differ depending on the time of acquisition if the consignment conditions are reviewed. Therefore, the estimated risk value may also fluctuate depending on the timing of the estimation. For this reason, if the estimation process is performed multiple times over a period of time, the risk output unit 155 may output the result of each estimation process (for example, graph 97). The processing of such a risk output unit 155 can also be explained as follows. In other words, the risk output unit 155 can be explained as outputting a comparison between the first risk and the second risk. Here, the first risk is the first risk estimated based on the consignment conditions information or logistics consignment conditions obtained at the first point in time (e.g., March 24) (e.g., the overall risk value as of March 24). The second risk is the second risk estimated based on the consignment conditions information or logistics consignment conditions obtained at a second point in time after the first point in time (e.g., April 1) (e.g., the overall risk value as of April 1).

[0062] Furthermore, the risk output unit 155 does not have to output all of the information shown in Figure 3; it may output only some of the information.

[0063] Next, we will explain an example of the processing flow described above, referring to the flowchart in Figure 4. Figure 4 is a flowchart showing an example of the operation of the information processing device 100.

[0064] In step S100, the condition information acquisition unit 151 acquires consignment condition information indicating the logistics consignment conditions. Next, in step S101, the environment information acquisition unit 152 acquires logistics environment information. Next, in step S102, the estimated risk acquisition unit 153 acquires estimated risk information using the information acquired in step S100 or step S101. Next, in step S103, the mitigation measures acquisition unit 154 acquires risk reduction information. Finally, in step S104, the risk output unit 155 outputs the estimated risk information acquired in step S102 and the risk reduction information acquired in step S103.

[0065] The embodiments described above are as follows. According to the embodiments described above, estimated risk information indicating the risks of outsourcing logistics is acquired and output. As a result, the client can easily grasp the risks of logistics operations that they have already outsourced or that they plan to outsource. As a result, the client can appropriately review the outsourcing conditions. This also helps to suppress unexpected suspensions of logistics operations, the occurrence of additional costs for responding to unforeseen circumstances (such as emergency arrangements for personnel or vehicles), and increases in lead times.

[0066] The information processing device 100 described above may be implemented by a computer as shown in Figure 5. Figure 5 is a block diagram showing an example of the hardware configuration of a computer that implements the control unit 150. As shown in Figure 5, the computer 500 includes an input / output interface 501, memory 502, and a processor 503.

[0067] The input / output interface 501 is used to communicate with components other than the control unit 150 as needed. The memory 502 is composed of, for example, a combination of volatile memory and non-volatile memory. The memory 502 is used to store software (computer programs) containing one or more instructions executed by the processor 503, and data used for various processes.

[0068] The processor 503 processes each component of the control unit 150 by reading and executing software (computer programs) from the memory 502. The processor 503 may be, for example, a microprocessor, an MPU (Micro Processor Unit), or a CPU (Central Processing Unit). The processor 503 may include multiple processors.

[0069] The program, when loaded into a computer, includes a set of instructions (or software code) for causing the computer to perform one or more of the functions described in the embodiments. The program may be stored on a non-temporary computer-readable medium or a physical storage medium. Examples, but not limited to, include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technologies, CD-ROM, digital versatile disc (DVD), Blu-ray® disc or other optical disc storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices. The program may be transmitted over a temporary computer-readable medium or a communication medium. Examples, but not limited to, include temporary computer-readable medium or a communication medium that includes electrically, optically, acoustically or otherwise propagating signals.

[0070] Although the present disclosure has been described above with reference to embodiments, the present disclosure is not limited to the embodiments described above. Various modifications to the structure and details of the present disclosure can be made as can be understood by those skilled in the art within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0071] Some or all of the embodiments described above may also be described as follows, but are not limited to the following: Some or all of the elements (e.g., configurations and functions) described in Appendices 2 to 15 that are dependent on Appendice 1 may also be dependent on Appendices 16 to 17 in the same way as in Appendices 2 to 15. Furthermore, some or all of the elements described in any of the appendices may be applied to various hardware, software, recording means, systems, and methods for recording software.

[0072] (Note 1) A means for acquiring condition information to obtain consignment condition information that indicates the conditions for logistics consignment, An environmental information acquisition means for acquiring logistics environment information related to the aforementioned logistics outsourcing conditions, Estimated risk acquisition means for acquiring estimated risk information indicating the risk of outsourcing logistics in accordance with the logistics outsourcing conditions, which is estimated based on at least one of the acquired outsourcing conditions information and the acquired logistics environment information, Risk output means for outputting the estimated risk information An information processing device having (Note 2) The estimated risk acquisition means acquires, at a minimum, the estimated risk information that shows the risk estimated based on the logistics environment information related to the consignment conditions information. The information processing device described in Appendix 1. (Note 3) The aforementioned consignment terms information includes, at a minimum, fee information indicating the consignment fee, The aforementioned logistics environment information includes, at a minimum, market price information indicating the market rate for the aforementioned outsourcing fees, The estimated risk acquisition means acquires estimated risk information that shows the risk estimated based on at least the price information and the market price information. The information processing device described in Appendix 1 or 2. (Note 4) The aforementioned consignment conditions information includes, at a minimum, location information indicating the location where the logistics operations are performed. The aforementioned logistics environment information includes, at a minimum, location characteristic information indicating traffic congestion, weather, or natural disasters at the location indicated by the aforementioned location information. The estimated risk acquisition means acquires the estimated risk information, which shows the risk estimated based on at least the location feature information. An information processing device as described in any one of the items 1 to 3 of the appendix. (Note 5) The aforementioned consignment conditions information includes, at a minimum, identification information that identifies the contractor for the logistics operations. The logistics environment information includes, at a minimum, evaluation information indicating an evaluation of the management of the contractor identified by the identification information, The estimated risk acquisition means acquires the estimated risk information, which shows the risk estimated based on at least the evaluation information. An information processing device as described in any one of the items 1 to 4 of the appendix. (Note 6) The risk output means outputs the trend of the risk. An information processing device as described in any one of the items 1 to 5 of the appendix. (Note 7) The system further includes a risk reduction strategy acquisition means that inputs a command statement generated based on the information used to estimate the risk into a large-scale language model, thereby obtaining risk reduction information from the large-scale language model that indicates measures for reducing the risk. The risk output means further outputs the risk reduction information. An information processing device as described in any one of the items 1 to 6 of the appendix. (Note 8) The estimated risk information includes risk values ​​calculated for each of several types of risk factors, and an overall risk value calculated based on the importance of each of the risk factors. An information processing device as described in any one of the items 1 to 7 of the appendix. (Note 9) The estimated risk acquisition means acquires the overall risk value calculated using the importance level set by the user. The information processing device described in Appendix 8. (Note 10) The aforementioned logistics environment information includes publicly available case information showing examples of fraudulent outsourcing, which has been made public by a designated organization. The estimated risk acquisition means acquires the overall risk value calculated using values ​​set based on the publicly available case information related to the risk factors, as the importance values ​​for each risk factor used in calculating the overall risk value. The information processing device described in Appendix 8. (Note 11) The means for acquiring the condition information acquires multiple sets of the aforementioned consignment condition information for which the consignor is the same, The aforementioned consignment conditions information includes, at a minimum, identification information that identifies the contractor for the logistics operations. The estimated risk acquisition means acquires the estimated risk information, which indicates the risk estimated based on the degree of dispersion of the contractors identified based on the identification information. An information processing device as described in any one of the appendices 1 to 10. (Note 12) The aforementioned consignment conditions information includes, at a minimum, location information indicating the location where the logistics operations are performed. The estimated risk acquisition means acquires the estimated risk information, which indicates the risk estimated based on the degree of geographical dispersion of the locations identified based on the location information. An information processing device as described in any one of the items 1 to 11 of the appendices. (Note 13) The aforementioned consignment conditions information includes, at a minimum, waiting time information indicating the waiting time of the truck, The estimated risk acquisition means acquires the risk estimated based at least on the waiting time information. An information processing device as described in any one of the appendices 1 to 12. (Note 14) The aforementioned consignment conditions information includes, at a minimum, work time information indicating the time spent on cargo handling operations. The estimated risk acquisition means acquires the estimated risk information, which shows the risk estimated based on at least the work time information. An information processing device as described in any one of the appendices 1 to 13. (Note 15) The aforementioned consignment conditions information includes, at a minimum, manufacturing information indicating the construction date of the building used for logistics operations or the manufacturing date of the equipment used for logistics operations. The estimated risk acquisition means acquires the estimated risk information, which shows the risk estimated based on at least the manufacturing information. An information processing device as described in any one of the appendices 1 to 14. (Note 16) Obtain consignment conditions information that shows the logistics consignment conditions, Obtain logistics environment information related to the aforementioned logistics outsourcing conditions, Based on at least one of the acquired consignment conditions information and the acquired logistics environment information, estimated risk information is obtained that indicates the risk of consigning logistics in accordance with the logistics consignment conditions. Output the estimated risk information mentioned above. Information processing methods. (Note 17) A step to obtain condition information, which is used to obtain consignment condition information that shows the logistics consignment conditions, An environmental information acquisition step for acquiring logistics environment information related to the aforementioned logistics outsourcing conditions, An estimated risk acquisition step of acquiring estimated risk information that indicates the risk of outsourcing logistics in accordance with the logistics outsourcing conditions, which is estimated based on at least one of the acquired outsourcing conditions information and the acquired logistics environment information, The risk output step of outputting the estimated risk information A program that causes a computer to execute something. [Explanation of Symbols]

[0073] 1. Information Processing Device 2 Condition information acquisition section 3 Environmental Information Acquisition Department 4. Estimated Risk Acquisition Unit 5. Risk Output Section 100 Information Processing Devices 110 Communications Department 120 UI section 150 Control Unit 151 Condition information acquisition section 152 Environmental Information Acquisition Department 153 Estimated Risk Acquisition Section 154 Reduction Measure Acquisition Section 155 Risk Output Section 500 Computers 501 Input / Output Interface 502 memory 503 Processor

Claims

1. A means for acquiring condition information to obtain consignment condition information that indicates the conditions for logistics consignment, An environmental information acquisition means for acquiring logistics environment information related to the aforementioned logistics outsourcing conditions, Estimated risk acquisition means for acquiring estimated risk information indicating the risk of outsourcing logistics in accordance with the logistics outsourcing conditions, which is estimated based on at least one of the acquired outsourcing conditions information and the acquired logistics environment information, Risk output means for outputting the estimated risk information An information processing device having

2. The estimated risk acquisition means acquires, at a minimum, the estimated risk information that shows the risk estimated based on the logistics environment information related to the consignment conditions information. The information processing apparatus according to claim 1.

3. The aforementioned consignment terms information includes, at a minimum, fee information indicating the consignment fee, The aforementioned logistics environment information includes, at a minimum, market price information indicating the market rate for the aforementioned outsourcing fees, The estimated risk acquisition means acquires estimated risk information that shows the risk estimated based on at least the price information and the market price information. The information processing apparatus according to claim 1 or 2.

4. The aforementioned consignment conditions information includes, at a minimum, location information indicating the location where the logistics operations are performed. The aforementioned logistics environment information includes, at a minimum, location characteristic information indicating traffic congestion, weather, or natural disasters at the location indicated by the aforementioned location information. The estimated risk acquisition means acquires the estimated risk information, which shows the risk estimated based on at least the location feature information. The information processing apparatus according to claim 1.

5. The aforementioned consignment conditions information includes, at a minimum, identification information that identifies the contractor for the logistics operations. The logistics environment information includes, at a minimum, evaluation information indicating an evaluation of the management of the contractor identified by the identification information, The estimated risk acquisition means acquires the estimated risk information, which shows the risk estimated based on at least the evaluation information. The information processing apparatus according to claim 1.

6. The risk output means outputs the trend of the risk. The information processing apparatus according to claim 1.

7. The system further includes a risk reduction strategy acquisition means that inputs a command statement generated based on the information used to estimate the risk into a large-scale language model, thereby obtaining risk reduction information from the large-scale language model that indicates measures for reducing the risk. The risk output means further outputs the risk reduction information. The information processing apparatus according to claim 1.

8. The estimated risk information includes risk values ​​calculated for each of several types of risk factors, and an overall risk value calculated based on the importance of each of the risk factors. The information processing apparatus according to claim 1.

9. Obtain consignment conditions information that shows the logistics consignment conditions, Obtain logistics environment information related to the aforementioned logistics outsourcing conditions, Based on at least one of the acquired consignment conditions information and the acquired logistics environment information, estimated risk information is obtained that indicates the risk of consigning logistics in accordance with the logistics consignment conditions. Output the estimated risk information mentioned above. Information processing methods.

10. A step to obtain condition information, which is used to obtain consignment condition information that shows the logistics consignment conditions, An environmental information acquisition step for acquiring logistics environment information related to the aforementioned logistics outsourcing conditions, An estimated risk acquisition step of acquiring estimated risk information that indicates the risk of outsourcing logistics in accordance with the logistics outsourcing conditions, which is estimated based on at least one of the acquired outsourcing conditions information and the acquired logistics environment information, The risk output step of outputting the estimated risk information A program that causes a computer to execute something.

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