Service determination method and device, computer program product and electronic equipment

Abstract

The invention relates to the technical field of computers, and relates to a service determination method and device, a computer program product and electronic equipment. The service determination method comprises the following steps: acquiring multi-dimensional income influence characteristics of a logistics provider and a resource provider; a first revenue model corresponding to a first service mode is constructed based on the revenue influence feature, a simulation game process is carried out between the logistics provider and the resource provider based on the first revenue model, a first game revenue result is obtained, and the first service mode refers to that the logistics provider provides logistics service for the resource provider; a second income model corresponding to a second service mode is constructed based on the income influence characteristics, a simulation game process is carried out between the logistics provider and the resource provider based on the second income model, a second game income result is obtained, and the second service mode refers to that the logistics provider provides a logistics service and a fund supply service to the resource provider; and determining a target service mode according to the first game income result and the second game income result.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and more specifically, to a service determination method, a service determination device, a computer program product, and an electronic device. Background Art

[0002] When a third-party logistics provider provides logistics outsourcing services to resource providers (such as retailers), it can also provide additional services to maximize the profits of the third-party logistics provider and the resource provider.

[0003] At present, whether the third-party logistics provider decides to provide both logistics services and additional services to the resource provider, or whether the resource provider needs the third-party logistics to provide both logistics services and additional services, all rely on experience to decide the type of service cooperation, which affects the accuracy of determining the service and causes loss of revenue to a certain extent.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of the present disclosure is to provide a service determination method and device, a computer program product and an electronic device, thereby improving the accuracy of determining services and increasing service revenue at least to a certain extent.

[0006] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present disclosure.

[0007] According to one aspect of the present disclosure, a service determination method is provided, including: obtaining multi-dimensional revenue impact characteristics of a logistics provider and a resource provider; constructing a first revenue model corresponding to a first service mode based on the revenue impact characteristics, and conducting a simulated game process between the logistics provider and the resource provider based on the first revenue model to obtain a first game revenue result, wherein the first service mode refers to the logistics provider providing logistics services to the resource provider; constructing a second revenue model corresponding to a second service mode based on the revenue impact characteristics, and conducting a simulated game process between the logistics provider and the resource provider based on the second revenue model to obtain a second game revenue result, wherein the second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider; and determining a target service mode from the first service mode and the second service mode according to the first game revenue result and the second game revenue result.

[0008] In an exemplary embodiment of the present disclosure, the multi-dimensional revenue impact characteristics include: logistics characteristics of the logistics provider, logistics characteristics of other logistics providers corresponding to the logistics provider, resource supply attribute characteristics of the resource provider, and resource supply attribute characteristics of other resource providers corresponding to the resource provider.

[0009] In an exemplary embodiment of the present disclosure, constructing a first revenue model corresponding to the first service mode based on the revenue impact characteristics includes: determining constraints based on the revenue impact characteristics, the constraints at least including constraints on the relationship between the logistics service levels of the logistics provider and other logistics providers, constraints on the sales volume of the resource ordering volume of the resource provider, and constraints on the logistics costs between the logistics provider and the resource provider; constructing the first revenue model under the constraints of the constraints, the first revenue model includes a first sub-model corresponding to the logistics provider and a second sub-model corresponding to the resource provider, the first sub-model is used to predict the net revenue of the logistics provider during a simulated game between the logistics provider and the resource provider, and the second sub-model is used to predict the net revenue of the resource provider.

[0010] In an exemplary embodiment of the present disclosure, the first revenue model is constructed under the constraints of the constraints, including: under the constraints of the constraints, according to the income and expenditure of the logistics provider and the resource provider, respectively constructing a first reference revenue model of the logistics provider and a second reference revenue model of the resource provider; based on the constraint item of the logistics cost between the logistics provider and the resource provider, constructing the profit model of the resource provider according to the amount of own funds and resource costs of the resource provider; solving based on the profit model to obtain a first strategy set, the first strategy set including a first resource price indicator and a first resource order quantity indicator of the resource provider; substituting the first strategy set into the first reference revenue model to obtain the first sub-model, and substituting the first strategy set into the second reference revenue model to obtain the second sub-model.

[0011] In an exemplary embodiment of the present disclosure, the solution based on the profit model to obtain the first strategy set includes: determining a first decision variable under the constraint condition, the first decision variable being a reference resource price index of the resource provider; deriving the first decision variable using the profit model, and solving according to the derivation result to obtain the first strategy set.

[0012] In an exemplary embodiment of the present disclosure, the second profit model includes a third sub-model corresponding to the logistics provider and a fourth sub-model corresponding to the resource provider, the third sub-model is used to predict the net profit of the logistics provider during the simulated game between the logistics provider and the resource provider under the second service mode, and the fourth sub-model is used to predict the net profit of the resource provider.

[0013] In an exemplary embodiment of the present disclosure, the second revenue model corresponding to the second service mode is constructed based on the revenue impact characteristics, including: constructing a third reference revenue model of the logistics provider and a fourth reference revenue model of the resource provider according to the income and expenditure of the logistics provider and the resource provider respectively; constructing a game model according to the first sub-model, the second sub-model, the third reference revenue model and the fourth reference revenue model; solving the game model with the goal of maximizing the profits of the game entities of the logistics provider and the resource provider, and determining a second strategy set according to the solution result, the second strategy set including the second resource price index of the resource provider, the second resource order quantity index, the interest rate index of the capital supply service provided by the logistics provider to the resource provider, and the logistics service level index of the logistics provider; substituting the second strategy set into the third reference revenue model to obtain the third sub-model, and substituting the second strategy set into the fourth reference revenue model to obtain the fourth sub-model.

[0014] In an exemplary embodiment of the present disclosure, the game model is solved with the goal of maximizing the profits of the game entities of the logistics provider and the resource provider, and a second strategy set is determined based on the solution results, including: determining a second decision variable, the second decision variable including a reference order quantity index of the resource provider, a reference logistics service level index of the logistics provider, and a reference interest rate index for the capital supply service provided by the logistics provider to the resource provider; using the game model to derive the second decision variables respectively, and solving according to the derivation results to obtain the second strategy set.

[0015] In an exemplary embodiment of the present disclosure, the first game profit result includes predicting the net profit of the logistics provider and the net profit of the resource provider respectively under the first service mode through the first profit model; the second game profit result includes predicting the net profit of the logistics provider and the net profit of the resource provider respectively under the second service mode through the second profit model; determining the target service mode from the first service mode and the second service mode based on the first game profit result and the second game profit result includes: determining the target service mode from the first service mode and the second service mode based on the net profit relationship between the logistics provider and the resource provider.

[0016] In an exemplary embodiment of the present disclosure, the method further includes: determining a policy set corresponding to the target service mode as a target policy set.

[0017] According to one aspect of the present disclosure, a service determination device is provided, including: a feature acquisition module, used to acquire multi-dimensional revenue impact features of a logistics provider and a resource provider; a first processing module, used to construct a first revenue model corresponding to a first service mode based on the revenue impact features, and to perform a simulated game process between the logistics provider and the resource provider based on the first revenue model to obtain a first game revenue result, wherein the first service mode refers to the logistics provider providing logistics services to the resource provider; a second processing module, used to construct a second revenue model corresponding to a second service mode based on the revenue impact features, and to perform a simulated game process between the logistics provider and the resource provider based on the second revenue model to obtain a second game revenue result, wherein the second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider; a service determination module, used to determine a target service mode from the first service mode and the second service mode according to the first game revenue result and the second game revenue result.

[0018] According to one aspect of the present disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, any one of the methods described above is implemented.

[0019] According to one aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above-mentioned methods by executing the executable instructions.

[0020] The service determination method in the exemplary embodiment of the present disclosure obtains the multi-dimensional revenue impact characteristics of the logistics provider and the resource provider, constructs the first revenue model corresponding to the first service mode based on the revenue impact characteristics, and simulates the game process between the logistics provider and the resource provider based on the first revenue model to obtain the first game revenue result when the logistics provider provides logistics services to the resource provider. At the same time, the second revenue model corresponding to the second service mode is constructed based on the revenue impact characteristics, and the simulation game process is carried out between the logistics provider and the resource provider based on the second revenue model to obtain the second game revenue result when the logistics provider provides logistics services and capital supply services to the resource provider, and then according to the first game revenue result and the second game revenue result, the target service mode is determined from the first service mode and the second service mode. This process obtains the revenue of the logistics provider and the resource provider in different scenarios when the service cooperation is achieved by simulating the game process of the logistics provider and the resource provider in different service modes, so as to provide a reference for the logistics provider and the resource provider to quickly select the service mode according to the revenue situation, improve the accuracy of determining the service mode, and avoid the loss of benefits caused by experience decision-making in the existing technology.

[0021] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other objects, features and advantages of the exemplary embodiments of the present disclosure will become readily understood by reading the following detailed description with reference to the accompanying drawings, in which several embodiments of the present disclosure are shown in an exemplary and non-limiting manner.

[0023] Figure 1 An application environment according to an exemplary embodiment of the present disclosure is shown.

[0024] Figure 2 A flow chart of a service determination method according to an exemplary embodiment of the present disclosure is shown.

[0025] Figure 3 A flow chart of an implementation method for constructing a first revenue model according to an exemplary embodiment of the present disclosure is shown.

[0026] Figure 4 A flowchart of constructing a first revenue model under constraints according to an exemplary embodiment of the present disclosure is shown.

[0027] Figure 5 A flow chart of constructing a second revenue model corresponding to a second service mode based on revenue impact characteristics according to an exemplary embodiment of the present disclosure is shown.

[0028] Figure 6 A schematic diagram of determining a service mode based on a simulated game process according to an exemplary embodiment of the present disclosure is shown.

[0029] Figure 7 A schematic diagram of a net revenue curve corresponding to a logistics provider according to an exemplary embodiment of the present disclosure is shown.

[0030] Figure 8 A schematic diagram of a net revenue curve corresponding to a resource provider according to an exemplary embodiment of the present disclosure is shown.

[0031] Fig. 9 A schematic diagram showing the composition of a service determination device according to an exemplary embodiment of the present disclosure is shown.

[0032] Fig.10 A block diagram of an electronic device according to an exemplary embodiment of the present disclosure is shown.

[0033] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION

[0034] The exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present disclosure will be more comprehensive and complete and the concepts of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0035] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known structures, methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the present disclosure.

[0036] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or these functional entities or parts of functional entities may be implemented in one or more software hardened modules, or these functional entities may be implemented in different networks and / or processor devices and / or microcontroller devices.

[0037] The service determination method provided by the exemplary embodiment of the present disclosure can be applied to Figure 1In the application environment shown, the terminal 101 communicates with the server 102 via a network. The data storage system can store data that the server 102 needs to process. The data storage system can be integrated on the server 102, or placed on the cloud or other network servers.

[0038] In an exemplary embodiment, the service determination method provided by the exemplary embodiment of the present disclosure may be executed by the server 102, and the corresponding service determination method device is set in the server 102. Correspondingly, in this mode of execution by the server 102, the server 102 may start to execute the steps in the technical solution of the exemplary embodiment of the present disclosure in response to a trigger command, wherein the trigger command may be sent by a terminal used by a user, or may be triggered locally by the server in response to some automation events.

[0039] The server 102 can obtain multi-dimensional revenue impact characteristics of the logistics provider and the resource provider, and then construct a first revenue model corresponding to the first service mode based on the revenue impact characteristics, and conduct a simulated game process between the logistics provider and the resource provider based on the first revenue model to obtain a first game revenue result. The first service mode refers to the logistics provider providing logistics services to the resource provider; then, construct a second revenue model corresponding to the second service mode based on the revenue impact characteristics, and conduct a simulated game process between the logistics provider and the resource provider based on the second revenue model to obtain a second game revenue result. The second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider; finally, according to the first game revenue result and the second game revenue result, determine the target service mode from the first service mode and the second service mode.

[0040] The server 102 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server 102 may perform background tasks.

[0041] Furthermore, in another exemplary embodiment, the terminal 101 may also have similar functions to the server 102 , thereby executing the service determination method provided by the exemplary embodiments of the present disclosure.

[0042] The terminal 101 may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, an IoT device, and a portable wearable device. The IoT device may be a smart speaker, a smart TV, a smart air conditioner, and a smart vehicle-mounted device, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The terminal 101 may also be referred to as a mobile terminal, a terminal device, a mobile device, etc. The exemplary embodiments of the present disclosure do not limit the type of the terminal 101.

[0043] In addition, the technical solution of the exemplary embodiment of the present disclosure can also be executed by the terminal 101 and the server 102 in collaboration. In this way of collaborative execution by the terminal 101 and the server 102, some steps in the technical solution provided by the exemplary embodiment of the present disclosure are executed by the terminal 101, and other steps are executed by the server 102.

[0044] It should be noted that in this mode of collaborative execution by the terminal 101 and the server 102, the steps respectively executed by the terminal 101 and the server 102 can be dynamically adjusted according to actual conditions, and there is no special restriction on this.

[0045] The terminal 101 and the server 102 may be connected directly or indirectly via wireless communication, and the exemplary embodiments of the present disclosure do not impose any special limitation thereto.

[0046] At present, whether a third-party logistics provider decides to provide both logistics services and additional services to a resource provider, or whether a resource provider requires a third-party logistics provider to provide both logistics services and additional services, all rely on experience to decide the type of service cooperation, which to a certain extent affects the accuracy of determining the service method.

[0047] As an example, additional services may include capital supply services, that is, the logistics provider can provide financial support to the resource provider while providing logistics services to the resource provider. Accordingly, after obtaining the financial support from the logistics provider, the resource provider has the conditions to increase the amount of resource supply, thereby increasing the amount of resource transportation undertaken by the logistics provider.

[0048] Of course, the additional services in the exemplary embodiments of the present disclosure may also include other services, such as venue provision, etc. The exemplary embodiments of the present disclosure are described by taking the additional service as a fund provision service as an example.

[0049] In an exemplary embodiment of the present disclosure, a service determination method is provided, referring to Figure 2 FIG. 2 is a flow chart of a service determination method according to an exemplary embodiment of the present disclosure. Figure 2 As shown, the service determination method includes steps S210 to S240, which are specifically as follows:

[0050] In step S210, multi-dimensional revenue impact characteristics of logistics providers and resource providers are obtained.

[0051] In the exemplary embodiments of the present disclosure, the revenue impact characteristics refer to the factors that affect the revenue of the logistics provider and the resource provider during the service interaction between the logistics provider and the resource provider, such as resource price, resource order quantity, logistics service level of the logistics provider, etc. Among them, the multi-dimensional revenue impact characteristics of the logistics provider and the resource provider can be obtained according to actual needs with the authorization of the logistics provider and the resource provider.

[0052] In step S220, a first revenue model corresponding to the first service mode is constructed based on the revenue impact characteristics, and a simulated game process is performed between the logistics provider and the resource provider based on the first revenue model to obtain a first game revenue result.

[0053] In an exemplary embodiment of the present disclosure, the first service mode refers to the logistics provider providing logistics services to the resource provider. In this scenario, the resource provider uses its funds to order resources and hands over the ordered resources to the logistics provider for transportation support. Based on this, the revenue impact characteristics related to the first service mode can be obtained in the revenue impact characteristics to construct a first revenue model. The first revenue model can be used to predict the net revenue of the logistics provider and the resource provider in the simulated game process between the logistics provider and the resource provider under the first service mode.

[0054] Among them, game refers to a behavioral theory in which when the behaviors of multiple game subjects interact with each other, each game subject makes a decision that is beneficial to itself based on the information it has and its own ability. By simulating the game process between logistics providers and resource providers, the two parties in the simulated game negotiate through bargaining and finally reach a consensus on what kind of service method to determine.

[0055] After the simulation game process, the first game profit result includes predicting the net profit of the logistics provider and the net profit of the resource provider respectively through the first profit model under the first service mode.

[0056] In step S230, a second revenue model corresponding to the second service mode is constructed based on the revenue impact characteristics, and a simulated game process is performed between the logistics provider and the resource provider based on the second revenue model to obtain a second game revenue result.

[0057] In an exemplary embodiment of the present disclosure, the second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider. In this scenario, the resource provider uses its funds to order resources and hands over the ordered resources to the logistics provider for support. At the same time, the logistics provider provides financial support to the resource provider, so that the resource provider has sufficient funds to order more resources, thereby handing over more resources to the logistics provider for transportation. Based on this, the revenue impact characteristics related to the second service mode can be obtained from the revenue impact characteristics to construct a second revenue model. The second revenue model can be used to predict the net revenue of the logistics provider and the resource provider during the simulated game between the logistics provider and the resource provider under the first service mode.

[0058] Among them, different from constructing the first profit model, the profit influencing characteristics when constructing the second profit model also include characteristics related to the capital supply service, such as the interest rate of the capital supply service provided by the logistics provider to the resource provider.

[0059] After the simulation game process, the second game profit result includes predicting the net profit of the logistics provider and the net profit of the resource provider respectively through the second profit model under the second service mode.

[0060] In step S240, a target service mode is determined from the first service mode and the second service mode according to the first game profit result and the second game profit result.

[0061] In an exemplary embodiment of the present disclosure, the target service mode may be determined by comparing the first gaming gain result and the second gaming gain result.

[0062] Among them, when determining the service for the logistics provider, the service mode corresponding to the larger benefit of the first game benefit result and the second game benefit result is obtained as the target service mode. Correspondingly, when determining the service for the resource provider, the service mode corresponding to the larger benefit of the first game benefit result and the second game benefit result is also obtained as the target service mode. Therefore, when the service mode corresponding to the larger benefit of the first game benefit result and the second game benefit result is the same for the logistics provider and the resource provider, this service mode can be selected as the target service mode.

[0063] The service determination method in the exemplary embodiment of the present disclosure simulates the game process between logistics providers and resource providers in scenarios of different service modes, and obtains the benefits of logistics providers and resource providers in different scenarios when service cooperation is achieved. This can provide a reference for logistics providers and resource providers to quickly select service modes based on the benefits, improve the accuracy of determining the service mode, and avoid the loss of benefits caused by experience-based decision-making in existing technologies.

[0064] In an exemplary embodiment, the multi-dimensional revenue impact characteristics include: logistics characteristics of the logistics provider, logistics characteristics of other logistics providers corresponding to the logistics provider, resource supply attribute characteristics of the resource provider, and resource supply attribute characteristics of other resource providers corresponding to the resource provider.

[0065] Among them, other logistics providers corresponding to the logistics provider refer to logistics providers that belong to the same service field as the logistics provider, such as competitors of the logistics provider. Other resource providers corresponding to the resource provider refer to resource providers that belong to the same service field as the resource provider, such as competitors of retailers. Logistics characteristics include but are not limited to logistics service level, logistics costs of logistics resources per transport unit (such as charging unit price), interest rate of capital supply services provided by logistics providers to resource providers, etc. The logistics service level can be comprehensively evaluated based on various aspects of information of the logistics provider, for example, the logistics service level can be obtained by comprehensive evaluation based on the delivery volume, on-time arrival rate, etc., and no specific restrictions are made on this. Resource supply attribute characteristics include attribute characteristics of resource providers and behavioral characteristics of resource provision. The attribute characteristics of resource providers include but are not limited to self-owned funds and user scale of resource providers, among which the user scale of resource providers can be determined according to the number of users covered by resource providers, and no specific restrictions are made on this. Behavioral characteristics of resource provision include but are not limited to resource order quantity, procurement cost per unit of resources, resource price (such as sales unit price), etc.

[0066] At the same time, it should be understood that the multi-dimensional benefit impact characteristics include the logistics characteristics of other logistics providers corresponding to the logistics provider and the resource supply attribute characteristics of other resource providers corresponding to the resource provider. The relevant characteristics of the external competitors of the logistics provider and the resource provider are used as reference factors for the subsequent simulation game process, providing data support for the simulation game process, which is conducive to improving the accuracy of determining the target service mode.

[0067] In an exemplary embodiment, a method for constructing a first revenue model is provided. Figure 3 As shown, constructing a first revenue model corresponding to the first service mode based on the revenue impact characteristics may include steps S310 and S320:

[0068] Step S310: Determine constraint conditions based on revenue impact characteristics.

[0069] The constraints include at least the constraints on the logistics service level relationship between the logistics provider and other logistics providers, the constraints on the sales volume of the resource ordering volume of the resource provider, and the constraints on the logistics costs between the logistics provider and the resource provider.

[0070] Among them, in the scenario of the first service mode, there is no cooperation in resource supply services between the logistics provider and the resource provider. Based on game theory, the logistics provider does not have the ability to bargain with the resource provider on the logistics service level, and the logistics provider has no motivation to pay costs to improve the logistics service level. Therefore, the constraint item of the logistics service level relationship between the logistics provider and other logistics providers constrains the logistics service levels of the two, that is, the logistics service levels of the logistics provider and other logistics providers are the same.

[0071] The constraint item on the sales volume of the resource order quantity of the resource provider refers to the assumption that the resource order quantity of the resource provider can be fully sold. The constraint item on the logistics cost between the logistics provider and the resource provider refers to the fact that the logistics provider charges the resource provider a fixed logistics fee based on the resource order quantity, and the logistics unit price charged by the logistics provider is higher than the unit logistics cost, and the logistics cost of the logistics provider is the same as that of other logistics providers.

[0072] Step S320: construct a first profit model under the constraints of the constraints.

[0073] The first revenue model includes a first sub-model corresponding to the logistics provider and a second sub-model corresponding to the resource provider. The first sub-model is used to predict the net revenue of the logistics provider during the simulated game between the logistics provider and the resource provider, and the second sub-model is used to predict the net revenue of the resource provider. The first sub-model and the second sub-model can be constructed according to the revenue relationship based on the first constraint condition.

[0074] The first profit model constructed based on constraint conditions can conduct simulated game between logistics providers and resource providers under the first service mode, so as to accurately obtain the net profit of the two parties when the logistics provider only provides logistics services to the resource provider, and provide accurate information support for the subsequent selection of the target service mode.

[0075] Among them, Figure 4 As shown, under the constraints of the constraints, constructing the first profit model includes:

[0076] Step S410: Under the constraints of the constraints, according to the income and expenditure of the logistics provider and the resource provider, a first reference profit model of the logistics provider and a second reference profit model of the resource provider are respectively constructed.

[0077] Among them, according to the income and expenditure of the logistics provider and the resource provider, an initial model of the net profit of the logistics provider, namely the first reference profit model, is constructed, and an initial model of the net profit of the resource provider, namely the second reference profit model, is constructed. Subsequently, deductive reasoning will be performed based on the first reference profit model and the second reference profit model to obtain the first sub-model and the second sub-model.

[0078] Specifically, first, the resource subscription quantity of the resource provider can be expressed as:

[0079] q=a-θ1p+θ2P+η1U-η2U (1)

[0080] Among them, p and P are the resource prices (such as sales prices) of the resource provider and other resource providers, θ1 and θ2 are the demand sensitivity coefficients (pre-set) corresponding to the resource prices of the resource provider and other resource providers, u and U are the logistics service levels of the logistics provider and other logistics providers, η1 and η2 are the demand sensitivity coefficients (pre-set) corresponding to the logistics service levels of the resource provider and other resource providers, and θ1>θ2, η1>η2.

[0081] Furthermore, the first reference profit model is constructed based on the constraint conditions, which can be realized by the following formula:

[0082]

[0083] in, is the net income of the logistics provider, and w is the logistics cost between the logistics provider and the resource provider, such as the fee charged by the logistics provider when delivering a unit of logistics products, that is, the unit logistics cost. In actual implementation, it is considered that the increase in the logistics service level will lead to an increase in the unit logistics cost. Therefore, it is assumed that the logistics cost is positively correlated with the resource transportation quantity and negatively correlated with the logistics service level, and t is used to represent the influence coefficient of the logistics service level on the unit logistics cost (which can be set in advance). At the same time, the logistics unit price charged by the logistics provider is higher than the unit logistics cost, that is, w>ut.

[0084] Accordingly, the second reference benefit model based on the constraint conditions can be constructed through the following formula:

[0085]

[0086] in, is the net income of the resource provider, c is the sales cost (purchase fee) per unit of resources, for example, the ordering and operating costs that the resource provider needs to pay for each unit of resources sold can be adjusted according to actual conditions, q is the resource ordering quantity, and pq can represent the resource provider's resource provision income.

[0087] Step S420: Based on the constraints of the logistics costs between the logistics provider and the resource provider, a profit model of the resource provider is constructed according to the amount of own funds and resource costs of the resource provider.

[0088] Considering whether the resource provider's own funds can meet the resource sales cost and the logistics fee paid to the logistics provider, in an optional embodiment, when constructing the profit model, if the resource provider's own funds can meet the resource sales cost and the logistics fee paid to the logistics provider, that is, the resource provider's own funds meet the following conditions:

[0089]

[0090] Among them, B is the amount of capital owned by the resource provider, and q=a-θ1p+θ2P+η1U-η2U.

[0091] In this case, the profit model constructed is as follows:

[0092]

[0093] Step S430: Solving based on the profit model to obtain a first strategy set, the first strategy set includes a first resource price indicator and a first resource order quantity indicator of the resource provider.

[0094] When obtaining the profit model, the first decision variable under the constraint condition can be determined first, and the first decision variable is the reference resource price index of the resource provider. Then, the profit model is used to derive the first decision variable, and the first strategy set is obtained by solving the derivation result.

[0095] Specifically, the profit model of the resource provider can be derived with respect to the first decision variable, as shown in the following formula:

[0096]

[0097] Among them, p is the first decision variable, so the first strategy set is:

[0098]

[0099] Among them, p b1 is the first resource price indicator of the resource provider, q b1 The first resource order quantity indicator.

[0100] Step S440: Substitute the first strategy set into the first reference benefit model to obtain a first sub-model, and substitute the first strategy set into the second reference benefit model to obtain a second sub-model.

[0101] After obtaining the first strategy set, each item in the first strategy set is substituted into the first reference benefit model and the second reference benefit model, that is, the corresponding result of formula (7) is substituted into formula (2) to obtain the first sub-model, and the corresponding result of formula (7) is substituted into formula (3) to obtain the second sub-model, as follows:

[0102]

[0103] in, is the first sub-model, The second sub-model.

[0104] In another optional embodiment, if the resource provider's own funds cannot meet the resource sales costs and the logistics fees paid to the logistics provider, that is, the resource provider's own funds meet the following conditions:

[0105]

[0106] Wherein, B is the amount of the resource provider's own funds. In this case, the resource provider uses all of its own funds to order resources. That is, through the above-mentioned similar solution process, the first strategy set can be obtained as follows:

[0107]

[0108] Among them, p b2 is the first resource price indicator of the resource provider, q b2 is the first resource order quantity indicator. It should be noted that the solution process in this case is similar to the solution process in the previous case, and will not be repeated here. At the same time, it should be understood that in actual implementation, the corresponding method of obtaining the first sub-model and the second sub-model should be selected in combination with the actual situation of the resource provider.

[0109] After obtaining the first strategy set, the first strategy set is substituted into the first reference benefit model to obtain the first sub-model, and the first strategy set is substituted into the second reference benefit model to obtain the second sub-model, as follows:

[0110]

[0111] in, is the first sub-model, The second sub-model.

[0112] The exemplary embodiment of the present disclosure is based on the scenario that the logistics provider only provides logistics services to the resource provider, and constructs a first profit model under the constraints of constraints. For resource providers with different capital levels, after obtaining the logistics characteristics of the logistics provider, the logistics characteristics of other logistics providers corresponding to the logistics provider, the resource supply attribute characteristics of the resource provider, and the resource supply attribute characteristics of other resource providers corresponding to the resource provider, the resource provider's resource order quantity, resource price and the net income of the supply chain members (resource providers and logistics providers) can be obtained through the first profit model, which can provide model support for the simulated game process between the logistics provider and the resource provider, thereby improving the reliability of the simulation results.

[0113] In an exemplary embodiment, the second profit model includes a third sub-model corresponding to the logistics provider and a fourth sub-model corresponding to the resource provider. The third sub-model is used to predict the net profit of the logistics provider during the simulated game between the logistics provider and the resource provider under the second service mode, and the fourth sub-model is used to predict the net profit of the resource provider.

[0114] Based on the second profit model, it is possible to conduct simulated games between logistics providers and resource providers under the second service mode, so as to accurately obtain the net profit of the two when the logistics provider only provides logistics services to the resource provider, and provide accurate information support for the subsequent selection of the target service mode.

[0115] It should be understood that through the game process, the logistics provider and the resource provider finally reach a consensus on their respective decision variables and sign an agreement. The resource provider bargains for the resource ordering quantity and resource sales price, while the logistics provider determines its logistics service level and the profit of the capital provided service. After the agreement is signed, the logistics service of the resource provider's resources is provided by the logistics provider. At the same time, the logistics provider provides financial support to the resource provider to help it realize the resource ordering and operation sales process. Finally, the resource provider's resource sales are completed, and the income obtained will be used to pay for the logistics provider's logistics services and financial support services.

[0116] like Figure 5 As shown, constructing a second revenue model corresponding to the second service mode based on the revenue impact characteristics may include:

[0117] Step S510: constructing a third reference profit model of the logistics provider and a fourth reference profit model of the resource provider respectively according to the income and expenditure of the logistics provider and the resource provider.

[0118] Among them, for the second service mode, based on the income and expenditure of the logistics provider and the resource provider, an initial model of the net profit of the logistics provider, namely the third reference profit model, is constructed, and an initial model of the net profit of the resource provider, namely the fourth reference profit model, is constructed.

[0119] The third reference profit model and the fourth reference profit model of the logistics provider are constructed according to the income and expenditure of the logistics provider and the resource provider as follows:

[0120]

[0121] in, Corresponding to the third reference income model, Corresponding to the fourth reference revenue model, the resource ordering quantity is still q=a-θ1p+θ2P+η1U-η2U.

[0122] It should be noted that formula (12) is the case where the logistics provider and the resource provider reach an agreement. If no agreement is reached, the only option is to choose the first service mode for service interaction, which will not be elaborated here.

[0123] Step S520: construct a game model according to the first sub-model, the second sub-model, the third reference benefit model and the fourth reference benefit model.

[0124] In the scenario of the second service mode, based on game theory, it can be known that logistics providers and resource providers have bargaining power. Assuming that the bargaining power of retailers is λ and the bargaining power of third-party logistics companies is 1-λ, the game model constructed according to the first sub-model, the second sub-model, the third reference profit model and the fourth reference profit model is expressed by the following formula:

[0125]

[0126] Among them, q is the reference ordering quantity indicator of the resource provider, c is the resource ordering price of the resource provider, u is the reference logistics service level indicator of the logistics provider, and r is the reference interest rate indicator for the capital supply service provided by the logistics provider to the resource provider.

[0127] Step S530: Solve the game model with the goal of maximizing the profits of the game entities of the logistics provider and the resource provider, and determine the second strategy set according to the solution result.

[0128] The second strategy set includes a second resource price indicator of the resource provider, a second resource order quantity indicator, an interest rate indicator for the capital supply service provided by the logistics provider to the resource provider, and a logistics service level indicator of the logistics provider.

[0129] The game model can be used to derive the second decision variable, and the second strategy set can be obtained by solving the derivative results. The maximum value of the above formula (13) is solved, and the variable combination obtained thereby determines the second strategy set. The specific solution process is as follows:

[0130]

[0131] in:

[0132]

[0133] Among them, in the scenario of the second service mode, the value of the logistics service level u of the logistics provider is u=1.

[0134] Let the above partial derivative result be equal to zero, and solve the second strategy set as:

[0135]

[0136] Among them, p o is the second resource price index of the resource provider, q o is the second resource order quantity indicator, r o An interest rate indicator that provides funding services to logistics providers and resource providers.

[0137] Step S540: Substitute the second strategy set into the third reference benefit model to obtain a third sub-model, and substitute the second strategy set into the fourth reference benefit model to obtain a fourth sub-model.

[0138] Substitute the obtained second strategy set into the third reference benefit model and the fourth reference benefit model to obtain the third sub-model and the fourth sub-model, as shown in the formula:

[0139]

[0140] in, For the third sub-model, This is the fourth sub-model.

[0141] In an exemplary embodiment, the first game profit result includes predicting the net profit of the logistics provider and the net profit of the resource provider respectively through the first profit model under the first service mode, and the second game profit result includes predicting the net profit of the logistics provider and the net profit of the resource provider respectively through the second profit model under the second service mode.

[0142] Based on this, according to the first game benefit result and the second game benefit result, determining the target service mode from the first service mode and the second service mode includes:

[0143] According to the net profit relationship between the logistics provider and the resource provider, a target service mode is determined from the first service mode and the second service mode.

[0144] Specifically, in the first service mode, the net income of the logistics provider is predicted in the simulated game process between the logistics provider and the resource provider based on the first sub-model in the first income model, and the net income of the resource provider is predicted based on the second sub-model. At the same time, in the second service mode, the net income of the logistics provider is predicted in the simulated game process between the logistics provider and the resource provider based on the third sub-model in the second income model, and the net income of the resource provider is predicted based on the fourth sub-model, so that the target service mode can be determined from the first service mode and the second service mode according to the net income relationship between the logistics provider and the resource provider.

[0145] Based on the above exemplary embodiments, the resource provider's own funds can meet the resource sales cost and pay the logistics fee to the logistics provider, that is, the resource provider's own funds B meets the preset condition 0<B<B0 (set according to demand) as an example. For details, please refer to formula (4). Under the first service mode, the resource provider selects the strategy set (q b2 , p b2 ), accordingly, the net profit obtained by the logistics provider is The net benefit obtained by the resource provider is

[0146] In the second service mode, the resource provider selects the policy set as (q o , p o ), the logistics provider selects the strategy set as (r o ,u o ). Accordingly, the net profit obtained by the logistics provider is The net benefit obtained by the resource provider is

[0147] Similarly, if the resource provider’s own funds cannot meet the resource sales costs and logistics fees paid to the logistics provider, the logistics provider and the resource provider’s respective strategies and net profits will be obtained, which will not be elaborated here.

[0148] Based on this, when deciding on the target service mode, the logistics provider can judge its own net profit under the first service mode and the second service mode, and then select the target service mode according to the net profit.

[0149] Specifically, when When the second service mode is selected, the logistics provider can provide logistics services and capital supply services to the resource provider, and at the same time select the strategy (r o ,u o ), the net income is

[0150] when When the first service mode is selected, the logistics provider can provide logistics services to the resource provider, and the strategy (w, U) is selected at the same time, the net profit can be obtained as

[0151] Similarly, when deciding on a target service mode, resource providers can determine their net benefits under the first service mode and the second service mode, and thus select a target service mode based on the net benefits.

[0152] Specifically, when When the resource provider can take the initiative to provide the second service mode, and select the strategy (q o , p o), the net income is

[0153] when When the resource provider selects the first service mode, it also selects the strategy (q b2 , p b2 ), the net income is

[0154] It can be seen from this that when, for the logistics provider and the resource provider, the service mode corresponding to the larger benefit in the first game benefit result and the second game benefit result is the same, this service mode can be selected as the target service mode.

[0155] As an example, Figure 6 A schematic diagram of determining a service mode based on a simulated game process is shown, and the game simulation process is explained by taking the resource provider's own funds as an example to determine whether they can meet the resource sales costs and pay the logistics fees to the logistics provider, that is, the own funds are in situation B and meet the preset conditions of 0<B<B0.

[0156] like Figure 6 As shown in the figure, under the first service mode, the net income of the logistics provider and the resource provider is Under the second service mode, the net income of the logistics provider and the resource provider is The result of determining the target service mode based on the net benefit relationship between the two. Figure 6 ,when The target service mode is determined to be the second service mode, otherwise the target service mode is determined to be the first service mode.

[0157] The following still takes the example of whether the resource provider’s own funds can meet the resource sales costs and pay the logistics fees to the logistics provider to explain the impact of different service methods on resource providers and logistics providers.

[0158] like Figure 7 The following is a schematic diagram of the net profit curve corresponding to the logistics provider: Figure 7 , if the logistics provider selects a strategy (q o , p o ) provides services in the second service mode, and its net profit curve is curve If the logistics provider selects the strategy (w, U) to provide services in the first service mode, its net profit curve is Correspondingly, if the logistics provider decides the service mode in the traditional way, that is, provides services in the first service mode, its net profit curve is

[0159] See also Figure 7It can be seen that when the logistics provider adopts the method of determining the service of the exemplary embodiment of the present disclosure, the minimum net profit it obtains is curve Π l (The resource provider's own funds are B'). When the resource provider's own funds are [0, B'], the net profit obtained by the logistics provider is the curve When the resource provider’s own funds are [B', B0], the net profit obtained by the logistics provider is the curve Based on this, in the case of resource providers with different funding levels in terms of logistics provision, a service method with better net benefits can always be selected based on the exemplary embodiments of the present disclosure.

[0160] like Figure 8 The following is a schematic diagram of the net profit curve corresponding to the resource provider: Figure 8 , if the resource provider selects a strategy (r o ,u o ) provides services in the second service mode, and its net profit curve is curve If the resource provider selects a strategy (q b2 , p b2 ) provides services in the first service mode, and its net profit curve is curve Correspondingly, if the logistics provider decides the service mode in the traditional way, that is, provides services in the first service mode, its net profit curve is

[0161] See also Figure 8 It can be seen that when the resource provider adopts the service determination method of the exemplary embodiment of the present disclosure, the minimum net profit it obtains is curve Π r (The resource provider's own funds are B). When the resource provider's own funds are [0, B], the net income obtained by the resource provider is the curve When the resource provider's own funds are [B, B0], the net income obtained by the resource provider is the curve Based on this, in terms of resource provision, with different funding levels, a service method with better net benefits can always be selected based on the exemplary embodiments of the present disclosure.

[0162] Based on the aforementioned exemplary embodiments, after determining the target service mode, the policy set corresponding to the target service mode may be determined as the target policy set, and service interaction is performed between the resource provider and the logistics provider based on the target policy set.

[0163] The service determination method in the exemplary embodiment of the present disclosure simulates the game process between logistics providers and resource providers in scenarios of different service modes, and obtains the benefits of logistics providers and resource providers in different scenarios when service cooperation is achieved. This can provide a reference for logistics providers and resource providers to quickly select service modes based on the benefits, improve the accuracy of determining the service mode, and avoid the loss of benefits caused by experience-based decision-making in existing technologies.

[0164] In an exemplary embodiment of the present disclosure, a service determination device is also provided. Fig. 9 As shown, the service determination device 900 may include a feature acquisition module 910, a first processing module 920, a second processing module 930 and a service determination module 1440. Specifically:

[0165] The feature acquisition module 910 is used to acquire the multi-dimensional profit impact characteristics of the logistics provider and the resource provider; the first processing module 920 is used to construct a first profit model corresponding to the first service mode based on the profit impact characteristics, and to simulate the game process between the logistics provider and the resource provider based on the first profit model to obtain a first game profit result, wherein the first service mode refers to the logistics provider providing logistics services to the resource provider; the second processing module 930 is used to construct a second profit model corresponding to the second service mode based on the profit impact characteristics, and to simulate the game process between the logistics provider and the resource provider based on the second profit model to obtain a second game profit result, wherein the second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider; the service determination module 940 is used to determine the target service mode from the first service mode and the second service mode according to the first game profit result and the second game profit result.

[0166] In an exemplary embodiment of the present disclosure, the multi-dimensional revenue impact characteristics include: logistics characteristics of the logistics provider, logistics characteristics of other logistics providers corresponding to the logistics provider, resource supply attribute characteristics of the resource provider, and resource supply attribute characteristics of other resource providers corresponding to the resource provider.

[0167] In an exemplary embodiment of the present disclosure, the first processing module 920 is configured to perform: determining constraint conditions based on the revenue impact characteristics, the constraint conditions at least including the constraint items of the logistics service level relationship between the logistics provider and other logistics providers, the constraint items of the sales volume of the resource ordering volume of the resource provider, and the constraint items of the logistics costs between the logistics provider and the resource provider; under the constraints of the constraint conditions, constructing the first revenue model, the first revenue model includes a first sub-model corresponding to the logistics provider and a second sub-model corresponding to the resource provider, the first sub-model is used to predict the net revenue of the logistics provider during the simulated game between the logistics provider and the resource provider, and the second sub-model is used to predict the net revenue of the resource provider.

[0168] In an exemplary embodiment of the present disclosure, the first processing module 920 is configured to execute: under the constraints of the constraints, according to the income and expenditure of the logistics provider and the resource provider, respectively construct a first reference profit model of the logistics provider and a second reference profit model of the resource provider; based on the constraint item of the logistics cost between the logistics provider and the resource provider, construct a profit model of the resource provider according to the amount of own funds and resource costs of the resource provider; solve based on the profit model to obtain a first strategy set, the first strategy set including the first resource price indicator and the first resource order quantity indicator of the resource provider; substitute the first strategy set into the first reference profit model to obtain the first sub-model, and substitute the first strategy set into the second reference profit model to obtain the second sub-model.

[0169] In an exemplary embodiment of the present disclosure, the first processing module 920 is configured to execute: determining a first decision variable under the constraint conditions, wherein the first decision variable is a reference resource price index of the resource provider; deriving the first decision variable using the profit model, and solving according to the derivative result to obtain the first strategy set.

[0170] In an exemplary embodiment of the present disclosure, the second profit model includes a third sub-model corresponding to the logistics provider and a fourth sub-model corresponding to the resource provider, the third sub-model is used to predict the net profit of the logistics provider during the simulated game between the logistics provider and the resource provider under the second service mode, and the fourth sub-model is used to predict the net profit of the resource provider.

[0171] In an exemplary embodiment of the present disclosure, the second processing module 930 is configured to execute: constructing a third reference profit model of the logistics provider and a fourth reference profit model of the resource provider according to the income and expenditure of the logistics provider and the resource provider, respectively; constructing a game model according to the first sub-model, the second sub-model, the third reference profit model and the fourth reference profit model; solving the game model with the goal of maximizing the profits of the game entities of the logistics provider and the resource provider, and determining a second strategy set according to the solution result, the second strategy set including a second resource price index of the resource provider, a second resource order quantity index, an interest rate index for the capital supply service provided by the logistics provider to the resource provider, and a logistics service level index of the logistics provider; substituting the second strategy set into the third reference profit model to obtain the third sub-model, and substituting the second strategy set into the fourth reference profit model to obtain the fourth sub-model.

[0172] In an exemplary embodiment of the present disclosure, the second processing module 930 is configured to execute: determining second decision variables, the second decision variables including a reference order quantity indicator of the resource provider, a reference logistics service level indicator of the logistics provider, and a reference interest rate indicator for the funding service provided by the logistics provider to the resource provider; using the game model to derive the second decision variables respectively, and solving according to the derivation results to obtain the second strategy set.

[0173] In an exemplary embodiment of the present disclosure, the first game revenue result includes predicting the net revenue of the logistics provider and the net revenue of the resource provider respectively through the first revenue model under the first service mode; the second game revenue result includes predicting the net revenue of the logistics provider and the net revenue of the resource provider respectively through the second revenue model under the second service mode;

[0174] The service determination module 940 is configured to execute: determining a target service mode from the first service mode and the second service mode according to the net profit relationship between the logistics provider and the resource provider.

[0175] In an exemplary embodiment of the present disclosure, the service determination module 940 is configured to execute: determining the policy set corresponding to the target service mode as the target policy set.

[0176] Since the details of each functional module of the service determination device of the exemplary embodiment of the present disclosure have been described in the exemplary embodiment of the service determination method described above, they will not be repeated here.

[0177] It should be noted that although several modules or units of the service determination device are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0178] The exemplary embodiments of the present disclosure also provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the above service determination method is implemented.

[0179] In one embodiment, the computer program product may be a tangible product containing a computer program, such as a computer-readable storage medium storing a computer program. The readable storage medium may be a storage medium based on electrical, magnetic, optical, electromagnetic, infrared, or other signals, including but not limited to: random access memory (RAM), read-only memory (ROM), magnetic tape, floppy disk, flash memory (Flash), mechanical hard disk (HDD), solid-state drive (SSD), and the like. Exemplarily, the computer program product may be implemented as a non-volatile storage medium storing a computer program, such as a read-only memory, a NAND flash memory, and the like.

[0180] In one embodiment, the computer program product may be an intangible product including a computer program. Exemplarily, the computer program product may be implemented as a virtual digital product, such as a digital file storing an executable file, an installation package, etc. of the computer program.

[0181] The code of the computer program can be written in one or more programming languages. Programming languages ​​such as C language, Java, C++, etc. The program code can be executed entirely on the user computing device, or partially on the user computing device, or as a separate software package, or partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, such as a local area network (LAN), a wide area network (WAN), etc., or can be connected to an external computing device (e.g., an Internet connection provided by an operator).

[0182] The computer program may be carried or transmitted via electrical, magnetic, optical, electromagnetic, infrared, or other signals. The electronic device may convert the signal carrying the computer program into a digital signal, thereby running the computer program. When the computer program is run on an electronic device, its code is used to enable the electronic device to execute (more specifically, the processor of the electronic device may execute) the method steps of various exemplary embodiments of the present disclosure, such as the above-mentioned service determination method.

[0183] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided. It will be appreciated by those skilled in the art that various aspects of the present disclosure may be implemented as a system, method, or program product. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: a complete hardware embodiment, a complete software embodiment (including firmware, microcode, etc.), or an embodiment combining hardware and software aspects, which may be collectively referred to herein as a "circuit", "module", or "system".

[0184] Refer to the following Fig.10 hereinafter describes the electronic device 1000 according to such an embodiment of the present disclosure. Fig.10 The electronic device 1000 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0185] like Fig.10 As shown, the electronic device 1000 is in the form of a general computing device. The components of the electronic device 1000 may include but are not limited to: the at least one processing unit 1010, the at least one storage unit 1020, a bus 1030 connecting different system components (including the storage unit 1020 and the processing unit 1010), and a display unit 1040.

[0186] The storage unit stores program codes, which can be executed by the processing unit 1010, so that the processing unit 1010 executes the steps according to various exemplary embodiments of the present disclosure described in the above “Exemplary Method” section of this specification.

[0187] The storage unit 1020 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 1021 and / or a cache memory unit 1022 , and may further include a read-only memory unit (ROM) 1023 .

[0188] The storage unit 1020 may also include a program / utility 1024 having a set (at least one) of program modules 1025, such program modules 1025 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0189] Bus 1030 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0190] The electronic device 1000 may also communicate with one or more external devices 1100 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 1000, and / or communicate with any device that enables the electronic device 1000 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 1050. Furthermore, the electronic device 1000 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 1060. As shown, the network adapter 1060 communicates with other modules of the electronic device 1000 via a bus 1030. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 1000, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0191] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiment of the present disclosure.

[0192] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0193] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A service determination method, characterized in that: include: Obtain the multi-dimensional profit impact characteristics of logistics providers and resource providers; A first revenue model corresponding to a first service mode is constructed based on the revenue impact characteristics, and a simulated game process is performed between the logistics provider and the resource provider based on the first revenue model to obtain a first game revenue result, wherein the first service mode refers to the logistics provider providing logistics services to the resource provider; A second revenue model corresponding to a second service mode is constructed based on the revenue impact characteristics, and a simulated game process is conducted between the logistics provider and the resource provider based on the second revenue model to obtain a second game revenue result, wherein the second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider; According to the first game profit result and the second game profit result, a target service mode is determined from the first service mode and the second service mode.

2. The method according to claim 1, characterized in that The multi-dimensional revenue impact characteristics include: The logistics characteristics of the logistics provider, the logistics characteristics of other logistics providers corresponding to the logistics provider, the resource supply attribute characteristics of the resource provider, and the resource supply attribute characteristics of other resource providers corresponding to the resource provider.

3. The method according to claim 1, characterized in that The constructing a first revenue model corresponding to the first service mode based on the revenue impact characteristics includes: Determining constraint conditions based on the revenue impact characteristics, the constraint conditions at least including a constraint item of the logistics service level relationship between the logistics provider and other logistics providers, a constraint item of the sales volume of the resource order volume of the resource provider, and a constraint item of the logistics cost between the logistics provider and the resource provider; Under the constraints of the constraints, the first profit model is constructed, and the first profit model includes a first sub-model corresponding to the logistics provider and a second sub-model corresponding to the resource provider. The first sub-model is used to predict the net profit of the logistics provider during the simulated game between the logistics provider and the resource provider, and the second sub-model is used to predict the net profit of the resource provider.

4. The method according to claim 3, characterized in that The step of constructing the first revenue model under the constraint of the constraint condition includes: Under the constraint of the constraint conditions, according to the income and expenditure of the logistics provider and the resource provider, respectively construct a first reference income model of the logistics provider and a second reference income model of the resource provider; Based on the constraints of the logistics costs between the logistics provider and the resource provider, a profit model of the resource provider is constructed according to the amount of the resource provider's own funds and resource costs; Solving based on the profit model to obtain a first strategy set, wherein the first strategy set includes a first resource price indicator and a first resource order quantity indicator of the resource provider; The first strategy set is substituted into the first reference benefit model to obtain the first sub-model, and the first strategy set is substituted into the second reference benefit model to obtain the second sub-model.

5. The method according to claim 4, characterized in that The first strategy set is obtained by solving the profit model, including: Determine a first decision variable under the constraint condition, wherein the first decision variable is a reference resource price index of the resource provider; The profit model is used to derive the first decision variable, and the first strategy set is obtained by solving the derivative result.

6. The method according to claim 4, characterized in that The second profit model includes a third sub-model corresponding to the logistics provider and a fourth sub-model corresponding to the resource provider. The third sub-model is used to predict the net profit of the logistics provider during the simulated game between the logistics provider and the resource provider under the second service mode. The fourth sub-model is used to predict the net profit of the resource provider.

7. The method according to claim 6, characterized in that The constructing a second revenue model corresponding to the second service mode based on the revenue impact characteristics includes: According to the income and expenditure of the logistics provider and the resource provider, respectively construct a third reference income model of the logistics provider and a fourth reference income model of the resource provider; Constructing a game model according to the first sub-model, the second sub-model, the third reference benefit model and the fourth reference benefit model; The game model is solved with the goal of maximizing the profits of the logistics provider and the game subject of the resource provider, and a second strategy set is determined according to the solution result, wherein the second strategy set includes a second resource price index of the resource provider, a second resource order quantity index, an interest rate index of the capital supply service provided by the logistics provider to the resource provider, and a logistics service level index of the logistics provider; Substituting the second strategy set into the third reference benefit model to obtain the third sub-model, and substituting the second strategy set into the fourth reference benefit model to obtain the fourth sub-model.

8. The method according to claim 7, characterized in that The method of solving the game model with the goal of maximizing the profits of the logistics provider and the game subject providing resources, and determining the second strategy set according to the solution result, includes: Determine a second decision variable, wherein the second decision variable includes a reference order quantity index of the resource provider, a reference logistics service level index of the logistics provider, and a reference interest rate index of the capital supply service provided by the logistics provider to the resource provider; The second decision variables are derived respectively using the game model, and the second strategy set is obtained by solving the derivative results.

9. The method according to claim 4, characterized in that The first game profit result includes respectively predicting the net profit of the logistics provider and the net profit of the resource provider through the first profit model under the first service mode; The second game revenue result includes respectively predicting the net revenue of the logistics provider and the net revenue of the resource provider through the second revenue model under the second service mode; The step of determining a target service mode from the first service mode and the second service mode according to the first game profit result and the second game profit result includes: According to the net profit relationship between the logistics provider and the resource provider, a target service mode is determined from the first service mode and the second service mode.

10. The method according to claim 9, characterized in that The method further comprises: The policy set corresponding to the target service mode is determined as the target policy set.

11. A service determination device, characterized in that: The device comprises: The feature acquisition module is used to obtain the multi-dimensional revenue impact features of logistics providers and resource providers; a first processing module, configured to construct a first revenue model corresponding to a first service mode based on the revenue impact characteristics, and to simulate a game process between the logistics provider and the resource provider based on the first revenue model to obtain a first game revenue result, wherein the first service mode refers to the logistics provider providing logistics services to the resource provider; A second processing module is used to construct a second revenue model corresponding to a second service mode based on the revenue impact characteristics, and to simulate a game process between the logistics provider and the resource provider based on the second revenue model to obtain a second game revenue result, wherein the second service mode refers to the logistics provider providing logistics services and capital supply services to the resource provider; A service determination module is used to determine a target service mode from the first service mode and the second service mode according to the first game profit result and the second game profit result.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

13. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 10 by executing the executable instructions.

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