Price subsidy method and device in freight scene, electronic equipment and storage medium

Abstract

The invention provides a price subsidy method and device in a freight scene, electronic equipment and a storage medium. When the target goods source meeting the subsidy condition exists, the number of goods sources capable of being subsidized currently is determined based on the current subsidy amount information, the current subsidy goods source number information and the expected subsidy amount corresponding to the multiple time periods, and the current minimum subsidy priority can be represented. Under the condition that the first subsidy priority of the target goods source is greater than the lowest subsidy priority, subsidizing the target goods source; according to the invention, in the subsidy strategy of the target goods source, the influence of the current actual subsidy condition such as subsidy amount information and the quantity of subsidy goods sources on the lowest subsidy priority is considered, and the determined lowest subsidy priority is more in line with the current actual subsidy condition. Therefore, price subsidy can be carried out on the target goods source conforming to the current lowest subsidy priority in time, so that transaction loss of the target goods source higher than the lowest subsidy priority is avoided, and user experience is improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a price subsidy method, device, electronic device and storage medium in a freight scenario. Background Art

[0002] The transportation service platform is used to match users' transportation needs with the carrier's transportation resources. Users can publish the cargo information they need to transport on the transportation service platform through the user client. The transportation service platform will display the cargo information to the carrier through the carrier client. The carrier will match based on its own transportation resources to meet the user's transportation needs.

[0003] On the transportation service platform, users bid for the source of goods they publish to form an order for the source of goods. If the user's bid matches the carrier's intended price, the carrier will undertake the transportation demand for the source of goods and the order will be completed. In some scenarios, if the difference between the user's bid and the carrier's intended price is small, in order to facilitate the transaction of the order for the source of goods between the user and the carrier, the transportation service platform will formulate some price subsidy strategies to provide adaptive subsidies for the user's bid in this case.

[0004] However, the existing price subsidy strategy may not be able to provide price subsidies to goods that meet the subsidy conditions in a timely manner, resulting in the loss of transactions between users and carriers for the relevant goods, affecting the experience of both parties. Summary of the invention

[0005] The present application provides a price subsidy method, device, electronic device and storage medium in a freight scenario. The determined minimum subsidy priority is more in line with the current actual subsidy situation, so that the transportation service platform can promptly provide price subsidies to target cargo sources that meet the current minimum subsidy priority, thereby avoiding transaction losses for target cargo sources that are higher than the minimum subsidy priority, and improving the user experience of users and carriers.

[0006] In a first aspect, the present application provides a price subsidy method in a freight scenario, comprising: detecting one or more candidate sources of goods in a candidate source list, and when it is detected that there is a target source of goods that meets the subsidy conditions among the one or more candidate sources of goods, determining the current subsidized source quantity based on the currently subsidized amount information, the currently subsidized source quantity information and the expected subsidy amount corresponding to a plurality of predetermined time periods; wherein the source quantity is used to indicate the minimum subsidy priority of the target source of goods; determining the first subsidy priority of the target source of goods in the candidate source list, and when the first subsidy priority is lower than the minimum subsidy priority indicated by the source quantity, returning to execute detection of the candidate source list, and when it is detected that the target source of goods exists in the candidate source list, determining the current subsidized source quantity, and determining the target source of goods. The operation of the first subsidy priority of the source is performed until the first subsidy priority is higher than or equal to the minimum subsidy priority indicated by the current subsidizable supply quantity; based on the predetermined first subsidy amount, the target supply is price subsidized, and the supply information corresponding to the target supply in the candidate supply list is removed to update the candidate supply list. If the price subsidy end condition is not met, for the updated candidate supply list, return to execute the detection of the candidate supply list, and if it is detected that the target supply exists in the candidate supply list, determine the current subsidizable supply quantity, determine the first subsidy priority, and perform the corresponding process based on the minimum subsidy priority indicated by the current subsidizable supply quantity and the subsidy priority of the target supply, until the price subsidy end condition is met; end the price subsidy process.

[0007] In some embodiments, the multiple time periods include a first time period, at least one second time period and at least one third time period; the first time period is the time period in which the current moment is located; the second time period is before the first time period, and the third time period is after the first time period; the currently subsidized amount information includes the actual subsidy amount corresponding to the at least one second time period; and the actual subsidy amount from the start time of the first time period to the current moment; the current subsidized supply quantity information includes: the total actual subsidized supply quantity from the start time of the first second time period to the current moment; the currently subsidized amount information, the current subsidized supply quantity information and the predetermined multiple time periods corresponding to the respective The expected subsidy amount determines the current subsidized supply quantity, including: determining the revised subsidy amount for the first time period based on the expected subsidy amount for the first time period and the first comparison result; wherein the first comparison result is the sum of the expected subsidy amounts for at least one second time period and the difference between the sum of the actual subsidy amounts for at least one second time period; the revised subsidy amount is positively correlated with the first comparison result; determining the average subsidy amount per supply based on the actual subsidy amount corresponding to at least one second time period and the sum of the actual subsidy amount from the start time of the first time period to the current time, as well as the total actual subsidized supply quantity; determining the subsidized supply quantity based on the revised subsidy amount and the average subsidy amount per supply.

[0008] In some embodiments, based on the expected subsidy amount for the first time period and the first comparison result, the revised subsidy amount for the first time period is determined, including: determining the revised subsidy amount based on the expected subsidy amount for the first time period, the first comparison result and the second comparison result; wherein the second comparison result is the ratio of the expected subsidy amount for the first time period to the sum of the expected subsidy amounts for at least one third time period; and the second comparison result is positively correlated with the revised subsidy amount.

[0009] In some embodiments, the determining the revised subsidy amount based on the expected subsidy amount for the first time period, the first comparison result, and the second comparison result includes: determining the revised subsidy amount based on the expected subsidy amount for the first time period, the first comparison result, the second comparison result, and the change range of the actual subsidy amount; the change range of the actual subsidy amount is determined by Formula 1: Among them, Y 1 is the change in the actual subsidy amount, X j-1 is the actual subsidy amount in the first second time period before the first time period, S j-1 is the expected subsidy amount for the first second time period before the first time period, X j-2is the actual subsidy amount in the second time period before the first time period, S j-2 is the actual subsidy amount in the second time period before the first time period; ε is the dynamic adjustment coefficient.

[0010] In some embodiments, before testing one or more candidate sources in the candidate source list, the method further includes: for each second subsidy amount in a plurality of preset second subsidy amounts; based on the transaction probability of the target source under the second subsidy amount and the transaction probability of the target source without subsidy, determining the increase in the transaction probability of the target source under the second subsidy amount; based on the increase in the transaction probability, the profit coefficient, the second subsidy amount and the transaction probability of the target source under the second subsidy amount, determining the return on investment of the target source under the second subsidy amount; based on the difference between the return on investment of the target source under the second subsidy amount and the return on investment of the target source under the previous second subsidy amount, determining the increase in the return on investment corresponding to the second subsidy amount; based on the increase in the transaction probability corresponding to each second subsidy amount being greater than the first preset threshold, the return on investment corresponding to each second subsidy amount being greater than the second threshold, and the increase in the return on investment corresponding to each second subsidy amount being greater than the third threshold, determining that the target source is a candidate source; and adding the source information of the target source to the candidate source list.

[0011] In some embodiments, the method also includes: determining the second subsidy amount with the highest return on investment among the multiple second subsidy amounts as the first subsidy amount for the target source of supply; or, determining the second subsidy amount with the largest increase in transaction probability among the multiple second subsidy amounts as the first subsidy amount for the target source of supply; wherein the return on investment corresponding to the first subsidy amount for the target source of supply is related to the priority of the target source of supply among the one or more candidate sources of supply.

[0012] In some embodiments, the price subsidy end conditions include: the first total subsidy amount has been used up; or, the last third time period ends; wherein, the first total subsidy amount is the sum of the expected subsidy amounts corresponding to the multiple time periods respectively.

[0013] In a second aspect, the present application provides a price subsidy device in a freight scenario, including a price subsidy method for executing the first aspect.

[0014] In a third aspect, the present application provides a chip comprising an interface circuit and a logic circuit, wherein the interface circuit is used to receive signals from other chips outside the chip and transmit them to the logic circuit, or to send signals from the logic circuit to other chips outside the chip, and the logic circuit is used to implement the price subsidy method of the first aspect.

[0015] In a fourth aspect, the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and wherein the processor implements the price subsidy method described in the first aspect when executing the program.

[0016] In a fifth aspect, the present application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the price subsidy method as described in the first aspect.

[0017] In a sixth aspect, the present application provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the steps of the price subsidy method of the first aspect.

[0018] The present application provides a price subsidy method, device, electronic device and storage medium in a freight scenario. In the method, the candidate source list includes one or more candidate sources. When there is a target source that meets the subsidy conditions in the candidate source list, the source transportation platform determines the current subsidized source quantity based on the current subsidized amount information, the current subsidized source quantity information and the expected subsidy amount corresponding to multiple time periods. The current subsidized source quantity can represent the current minimum subsidy priority. When the first subsidy priority of the target source that meets the subsidy conditions is greater than the minimum subsidy priority, the target source is subsidized; since the subsidized amount information and the subsidized source quantity change in real time according to the current actual situation, the current minimum subsidy priority also changes in real time. In the subsidy strategy for the target source of goods in this application, the impact of the current actual subsidy situation on the minimum subsidy priority is considered. In this way, the determined minimum subsidy priority is more in line with the current situation, so that the target source that meets the current minimum subsidy priority can be timely subsidized, thereby avoiding the loss of transactions of target sources higher than the minimum subsidy priority, thereby improving the user experience of users and carriers. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flowchart for implementing a price subsidy method in a freight scenario provided in an embodiment of the present application;

[0020] Figure 2 A flowchart for implementing a price subsidy method in a freight scenario provided in an embodiment of the present application;

[0021] Figure 3A flowchart for implementing a price subsidy method in a freight scenario provided in an embodiment of the present application;

[0022] Figure 4 A flowchart for implementing a price subsidy method in a freight scenario provided in an embodiment of the present application;

[0023] Figure 5 A flowchart for implementing a price subsidy method in a freight scenario provided in an embodiment of the present application;

[0024] Figure 6 A flowchart for implementing a price subsidy method in a freight scenario provided in an embodiment of the present application;

[0025] Figure 7 A structural diagram of a price subsidy device in a freight scenario provided in an embodiment of the present application;

[0026] Figure 8 A structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In this application, "at least one" means one or more, and "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the associated objects before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c alone can represent: a, b, c, a and b, a and c, or a, b, and c, where a, b, and c can be single or multiple. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0028] The directions or positional relationships indicated by terms such as "center", "longitudinal", "lateral", "up", "down", "left", "right", "front", and "back" are based on the directions or positional relationships shown in the accompanying drawings and are only for the convenience of describing the present application and simplifying the description. They do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present application.

[0029] The terms "connected" and "connected" should be understood in a broad sense. For example, the "connected" or "connected" of a circuit structure can refer to not only physical connection, but also electrical connection or signal connection. For example, it can be directly connected, that is, physically connected, or indirectly connected through at least one intermediate element, as long as the circuit is connected, or it can be the internal connection of two elements; signal connection can refer to signal connection through a circuit or through a media medium, such as radio waves. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0030] The transportation service platform is used to match users' transportation needs with the carrier's transportation resources. Users can publish the cargo information they need to transport on the transportation service platform through the user client. The transportation service platform will display the cargo information to the carrier through the carrier client. The carrier will match based on its own transportation resources to meet the user's transportation needs.

[0031] On the transportation service platform, users bid for the source of goods they publish to form an order for the source of goods. If the user's bid matches the carrier's intended price, the carrier will undertake the transportation demand for the source of goods and the order will be completed. In some scenarios, if the difference between the user's bid and the carrier's intended price is small, in order to facilitate the transaction of the order for the source of goods between the user and the carrier, the transportation service platform will formulate some price subsidy strategies to provide adaptive subsidies for the user's bid in this case.

[0032] However, the existing price subsidy strategy may not be able to provide price subsidies to goods that meet the subsidy conditions in a timely manner, resulting in the loss of transactions between users and carriers for the relevant goods, affecting the experience of both parties.

[0033] Based on this, the present application provides a price subsidy method in a freight scenario, in which the determined minimum subsidy priority is more in line with the current actual subsidy situation, so that the transportation service platform can promptly provide price subsidies for target cargo sources that meet the current minimum subsidy priority, thereby avoiding transaction losses for target cargo sources that are higher than the minimum subsidy priority, and improving the user experience of users and carriers.

[0034] Figure 1 The present invention provides a flowchart of a price subsidy method for a freight scenario. The price subsidy method of the present invention is applied to a backend server or cloud server of a freight transportation platform. Figure 1 As shown, the method includes:

[0035] S101. Detect one or more candidate sources of supply in the candidate source list. When it is detected that there is a target source of supply that meets the subsidy conditions among the one or more candidate sources of supply, determine the current subsidized supply quantity based on the current subsidized amount information, the current subsidized supply quantity information and the expected subsidy amounts corresponding to multiple predetermined time periods.

[0036] Among them, the number of subsidized sources of goods is used to indicate the minimum subsidy priority corresponding to the target source of goods at the current moment.

[0037] The subsidy conditions can be determined according to the relevant policies pre-formulated by the transportation service platform. For example, the subsidy conditions are: the target source of goods has not been sold after the preset time period.

[0038] In this application, before executing S101, a candidate supply source information list is pre-constructed. The candidate supply source list records the supply source information such as the supply source ID, subsidy amount, subsidy priority information, etc. of multiple candidate supply sources. For example, Table 1 is used as an example to illustrate the information recorded in the candidate supply source list.

[0039] Table 1

[0040]

[0041] Table 1 takes the number of candidate supply sources as 5 as an example. The supply source ID is used to uniquely identify a candidate supply source. In some embodiments, the subsidy priority information may include the subsidy priority score of the candidate supply source.

[0042] The subsidy priority score can represent the subsidy priority of the candidate supply sources. The higher the subsidy priority score, the higher the subsidy priority.

[0043] In some embodiments, the transportation service platform may sort the subsidy priority of each candidate source in the current candidate source list to obtain the subsidy priority ranking of each candidate source; the subsidy priority information in Table 1 may also include the subsidy priority ranking, and the higher the subsidy priority score, the higher the subsidy priority ranking. For example, the subsidy priority score of source A1 is the highest, and the subsidy priority ranking of A1 is 1.

[0044] The transportation service platform can detect in real time whether there are new sources of goods online. If a new source of goods is detected online (i.e., a new source of goods) and if it is determined that the source of goods is a candidate source of goods, the new source of goods will be added to the candidate source list.

[0045] Alternatively, the transportation service platform may periodically detect multiple new sources of goods on the transportation service platform to determine candidate sources of goods among the multiple new sources of goods on the transportation service platform in each cycle, and add the candidate sources of goods among the multiple new sources of goods to the candidate source list.

[0046] For example, at the end of the first detection cycle, an operation of detecting candidate sources of goods among the sources of goods newly added in the first detection cycle is performed, and the detected candidate sources of goods are added to the candidate source list. At the end of the second detection cycle, an operation of detecting candidate sources of goods among the sources of goods newly added in the second detection cycle is performed, and the detected candidate sources of goods are added to the candidate source list. The specific method for determining whether the newly added source of goods is a candidate source of goods is described in the following embodiment, which will not be repeated here.

[0047] Adding candidate sources of supply to the candidate source list specifically refers to adding relevant information in the candidate source list (including source ID, subsidy priority score, etc.) as shown in Table 1 to the candidate source list.

[0048] It should be noted that Table 1 is only an example of the candidate supply list, and the information included in the candidate supply list is not limited to the content of Table 1. In some embodiments, the candidate supply list may also include the name of the candidate supply, time information, etc.

[0049] The time information of the candidate supply source can be changed in real time. The initial time information of each candidate supply source is the time when the candidate supply source is added to the candidate supply source list.

[0050] In some embodiments, the transportation service platform periodically polls each candidate source in the current candidate source list to determine whether the candidate source will be traded.

[0051] For each candidate source in the candidate source list, if it is found that the candidate source has not been traded, the time information in the candidate source list is updated using the current time; if it is found that the candidate source has been traded, all information of the candidate source in the candidate source list is deleted to update the candidate source list.

[0052] It is understandable that the transportation service platform will allocate a certain subsidy amount for each longer time period (e.g., 1 day) in advance. Specifically, the longer time period can be divided into multiple time periods (e.g., a time period is 15 minutes), wherein the subsidy amount for each time period is pre-allocated. Then, in each time period, the source of goods that need to be subsidized in the time period can be subsidized based on the pre-allocated expected subsidy amount.

[0053] However, the number of new candidate sources of goods in each time period, or the number of target sources of goods that meet the subsidy conditions, is also unknown and may be more or less. If the subsidy strategy for the first time period is implemented based on the pre-set subsidy amount, then when the number of candidate sources of goods is large, or when the number of target sources of goods that meet the subsidy conditions is large, the subsidy amount for the time period may be limited, resulting in a phenomenon that more target sources of goods that meet the conditions are not subsidized in time.

[0054] In an embodiment of the present application, the expected subsidy amount for the first time period can be corrected based on the current subsidized amount information, the current subsidized supply quantity information, and the expected subsidy amounts for multiple time periods to determine the current subsidized supply quantity, and determine whether the target supply can be subsidized based on the minimum subsidy priority indicated by the supply quantity.

[0055] The specific implementation method for determining the current subsidized supply quantity is as follows Figure 2 The embodiments are described in detail and will not be described in detail here.

[0056] It should be noted that S101 to S105 of this application may be executed multiple times in a loop until the price subsidy termination condition is met. If the target source detected in the previous cycle is not subsidized, and in the current cycle, the target source has not been traded, then the target source in the previous cycle may be the same as the target source in the current cycle.

[0057] If the target supply detected in the previous cycle was subsidized, or the transaction was completed before the current cycle, the target supply in the previous cycle is different from the target supply in the current cycle.

[0058] S102: Determine the first subsidy priority of the target source of supply among one or more candidate sources of supply.

[0059] S103. Determine whether the first subsidy priority is higher than or equal to the lowest subsidy priority indicated by the supply quantity; if so, execute S104; otherwise, execute S101.

[0060] As described above, the candidate source list stores the subsidy priority score of each candidate source. The priority ranking of each candidate source can be determined based on the subsidy priority score corresponding to each candidate source. The priority ranking can represent the first subsidy priority of the candidate source among all candidate sources.

[0061] Determine whether the first subsidy priority is higher than or equal to the lowest subsidy priority indicated by the subsidizable supply quantity; illustratively, the determination may be made in the following manner:

[0062] If the target source of supply has a priority ranking of 38 among all candidate sources in the current candidate source list, the first subsidy priority is 38. The current number of sources that can be subsidized is 50; the current lowest subsidy priority is 50; if 38 is less than 50, the first subsidy priority is higher than the lowest subsidy priority.

[0063] If the target supply source has a priority ranking of 52 among all candidate supply sources in the current candidate supply source list, the first subsidy priority is 52. The current lowest subsidy priority is 50; if 52 is greater than 50, the first subsidy priority is lower than the lowest subsidy priority.

[0064] S104: Provide price subsidies to the target supply source based on a predetermined subsidy amount, and update the candidate supply source list.

[0065] As described above, the candidate source list records the subsidy amount of each candidate source, and the transportation service platform can obtain the subsidy amount of the target source from the candidate source list.

[0066] For each newly added source of goods, the transportation service platform also determines its subsidy amount in the process of determining whether it is a candidate source of goods. The specific implementation method of determining the subsidy amount is described in the following embodiment and will not be repeated here.

[0067] A price subsidy is provided for the target source of goods, that is, the user's final bid for the target source of goods is subtracted from the subsidy amount to obtain the final quotation for the target source of goods, and then the final quotation is displayed to the carrier through the carrier's client to increase the order completion rate of the user and the carrier for the target source of goods.

[0068] After the target source of goods is price subsidized, the candidate source list is updated, which means: the source information corresponding to the target source of goods is deleted from the candidate source list.

[0069] For example, in the candidate supply list, the supply information corresponding to the target supply includes the target supply ID, subsidy price, and subsidy priority score; all the above information in the candidate supply list is deleted to obtain an updated candidate supply list. On this basis, in the candidate supply list, the priority ranking of the candidate supply that ranks after the target supply will also be updated accordingly.

[0070] S105. Determine whether the price subsidy termination conditions are met; if so, terminate the current process; otherwise, execute S101.

[0071] In this application, the total expected subsidy amount for multiple time periods is predetermined (recorded as the first total subsidy amount), and then the total subsidy amount is allocated to each time period based on a preset rule. Accordingly, the price subsidy end condition includes: the first total subsidy amount is used up, or the last time period of the multiple time periods ends.

[0072] It should be noted that during the execution of each step before S105, the transportation service platform will detect in real time whether there is a new source of goods online. If a new source of goods is detected online (i.e., a new source of goods) and if the source of goods is determined to be a candidate source of goods, the new source of goods will be added to the candidate source of goods list. Alternatively, the transportation service platform can periodically detect multiple new sources of goods on the transportation service platform to determine the candidate sources of goods among the multiple new sources of goods on the transportation service platform in each cycle, and add the candidate sources of goods among the multiple new sources of goods to the candidate source of goods list to update the candidate source of goods list in real time. The update here and the update of the source of goods information list in S104 are independent processes and can be performed simultaneously.

[0073] In this application, the candidate source list includes one or more candidate sources. When there is a target source that meets the subsidy conditions in the candidate source list, the source transportation platform determines the current subsidized source quantity based on the current subsidized amount information, the current subsidized source quantity information and the expected subsidy amount corresponding to multiple time periods. The current subsidized source quantity can represent the current minimum subsidy priority. When the first subsidy priority of the target source that meets the subsidy conditions is greater than the minimum subsidy priority, the target source is subsidized; since the subsidized amount information and the subsidized source quantity change in real time according to the current actual situation, the current minimum subsidy priority also changes in real time. In the subsidy strategy for the target source of goods in this application, the impact of the current actual subsidy situation on the minimum subsidy priority is considered. In this way, the determined minimum subsidy priority is more in line with the current situation, so that the target source that meets the current minimum subsidy priority can be timely subsidized, thereby avoiding the loss of transactions for target sources that are higher than the minimum subsidy priority, thereby improving the experience of users and carriers.

[0074] As described above, in this application, the transportation service platform can modify the expected subsidy amount for the first time period based on the current subsidized amount information, the current subsidized cargo quantity information, and the expected subsidy amounts for multiple time periods to determine the current subsidized cargo quantity.

[0075] The multiple time periods include: at least one second time period, a first time period and at least one third time period; the first time period is the time period of the current moment, the second time period is before the first time period, and the third time period is after the first time period.

[0076] The current amount of subsidy information specifically includes: the actual subsidy amount corresponding to at least one second time period; the actual subsidy amount from the start time of the first time period to the current time. It can also be briefly described as: the total actual subsidy amount from the start time of the first second time period to the current time.

[0077] The current subsidized supply quantity information specifically includes: the actual subsidized supply quantity corresponding to at least one second time period, and the actual subsidized supply quantity from the starting time of the first time period to the current time; it can also be briefly described as: the total actual subsidized supply quantity from the starting time of the first second time period to the first time period.

[0078] Next, through Figure 2 The embodiment explains the specific implementation method of determining the current subsidized supply quantity based on the above-mentioned current subsidized amount information, the current subsidized supply quantity information, and the expected subsidy amounts in multiple time periods.

[0079] Figure 2 This is a flowchart of the implementation of the price subsidy method in the supply scenario provided in the embodiment of the present application. Figure 2 As shown, in S101, determining the current subsidizable supply quantity can be achieved through the following steps S1011 to S1013:

[0080] S1011. Determine a revised subsidy amount for the first time period based on the expected subsidy amount for the first time period and the first comparison result.

[0081] The first comparison result is the difference between the sum of the expected subsidy amounts for at least one second time period and the sum of the actual subsidy amounts for at least one second time period.

[0082] The first comparison result is determined as shown in Formula 2:

[0083] Y 2 =∑ k<＝j-1 S k -∑ k<＝j-1 X k Formula 2:

[0084] Among them, Y 2 represents the first comparison result, j represents the first time period (current time period), k represents any time period from the first second time period to the last second time period (adjacent to the first time period); S represents the expected subsidy amount, X represents the actual subsidy amount, ∑ k<＝j-1 S k represents the sum of the expected subsidy amount for at least one second time period, ∑ k<＝j-1 X k Represents the sum of actual subsidy amounts for at least one second time period.

[0085] The first comparison result can be calculated when the first target supply source is detected in the first time period, and is stored in the memory, and is retrieved and used each time the subsidized supply quantity is determined in the first time period. In this way, the first comparison result only needs to be determined once in the first time period.

[0086] The revised subsidy amount can be determined according to Formula 3:

[0087]

[0088] in, is the revised subsidy amount for the first period; S j is the expected subsidy amount for the first time period; C is an adjustment parameter; illustratively, C is 1, or other values, which can be determined according to actual conditions.

[0089] S1012. Determine the average subsidy amount per source of goods based on the actual subsidy amount corresponding to at least one second time period and the sum of the actual subsidy amounts from the start time of the first time period to the current time, as well as the total number of actual subsidized sources of goods.

[0090] Specifically, the average subsidy amount per source of goods is: (the actual subsidy amount for the first second time period + the actual subsidy amount for the second second time period +... + the actual subsidy amount for the last second time period + the actual subsidy amount from the start time of the first time period to the current time) / the total number of actual subsidized sources of goods.

[0091] The actual total quantity of subsidized supplies is specifically: (the actual quantity of subsidized supplies in the first second time period + the actual quantity of subsidized supplies in the second second time period +... + the actual quantity of subsidized supplies in the last second time period + the actual quantity of subsidized supplies from the start time of the first time period to the current time).

[0092] S1013. Determine the subsidized quantity of goods based on the revised subsidy amount and the average subsidy amount of the source order.

[0093] Specifically, the quantity of subsidized supplies = adjusted subsidy amount / total quantity of actual subsidized supplies.

[0094] In this embodiment, the revised subsidy amount is obtained by correcting the expected subsidy amount of the current first time period based on the actual subsidy amount of at least one second time period and the expected subsidy amount of at least one second time period; the average subsidy amount per source order is determined based on the actual total subsidy amount and the actual total number of subsidized sources up to the current moment; the number of subsidized sources determined by the revised subsidy amount and the average subsidy amount per source order can represent the minimum subsidy priority at the current moment.

[0095] It can be seen that when determining the minimum subsidy priority at the current moment, the impact of the actual subsidy amount and the expected subsidy amount of at least one second time period on the expected subsidy amount of the current first time period is taken into account, and the actual total subsidy amount and the total number of actual subsidized sources of goods at the current moment are taken into account; in this way, the determined minimum subsidy priority can be more in line with the current source of goods subsidy status; when the subsidy priority of the target source of goods is higher than the minimum subsidy priority, the transportation service platform can promptly provide price subsidies to the target source of goods, thereby avoiding transaction losses of target sources of goods with higher than the minimum subsidy priority, and improving user experience.

[0096] In some embodiments, the revised subsidy amount for the first time period is not only related to the expected subsidy amount for the first time period and the first comparison result, but also to the second comparison result, where the second comparison result is the ratio of the expected subsidy amount for the first time period to the sum of the expected subsidy amounts for at least one third time period.

[0097] Next, through Figure 3 The embodiment explains how to determine the revised subsidy amount for the first time period based on the second comparison result.

[0098] Figure 3 A flowchart for implementing the price subsidy method in the freight scenario provided in the embodiment of the present application; Figure 3 As shown, S1011 can be determined by the following S1011a:

[0099] S1011a. Determine a revised subsidy amount for the first time period based on the expected subsidy amount for the first time period, the first comparison result, and the second comparison result.

[0100] The second comparison result is positively correlated with the revised subsidy amount in the first time period.

[0101] Specifically, the revised subsidy amount for the first time period can be determined by Formula 4:

[0102]

[0103] in, is the second comparison result; k>＝j+1 S k is the sum of the expected subsidy amounts for at least one third time period.

[0104] As described above, the second comparison result is positively correlated with the revised subsidy amount, and the second comparison result can be used to characterize the influence of the remaining subsidy amount after the current first time period on the revision range.

[0105] It can be understood that the larger the proportion of the expected subsidy amount in the current first time period to the total expected subsidy amount in the subsequent third time period, the larger the expected subsidy amount in the current first time period is, possibly more than other time periods. The first time period has more subsidy opportunities than other time periods. Therefore, the revised subsidy amount in the first time period is larger.

[0106] The smaller the ratio of the current expected subsidy amount of the first time period to the total expected subsidy amount of the subsequent third time period, it means that the expected subsidy amount of the first time period that night was originally smaller, possibly less than other time periods. The first time period has fewer subsidy opportunities than other time periods. Therefore, the revised subsidy amount of the first time period is smaller.

[0107] In this way, when implementing the price subsidy strategy for the target supply, the impact of the remaining subsidy amount after the current first time period on the correction range of the subsidy amount for the first time period is taken into account; in this way, the minimum subsidy priority determined based on this is more in line with the actual subsidy situation, so that supplies with subsidy priorities higher than the minimum subsidy priority can be subsidized in a timely manner.

[0108] In some embodiments, the revised subsidy amount is also related to the change range of the actual subsidy amount; wherein the change range of the actual subsidy amount is as shown in Formula 1:

[0109]

[0110] Among them, Y 1 is the change in the actual subsidy amount, X j-1 is the actual subsidy amount in the first second time period before the first time period, S j-1 is the expected subsidy amount in the first second time period before the first time period, X j-2 is the actual subsidy amount in the second time period before the first time period, S j-2 is the actual subsidy amount in the second time period before the first time period; ε is the dynamic adjustment coefficient.

[0111] Next, through Figure 5 The embodiment explains how to determine the revised subsidy amount for the first time period based on the change amount of the actual subsidy amount.

[0112] Figure 4 A flowchart for implementing the price subsidy method in the freight scenario provided in the embodiment of the present application; Figure 4 As shown, S1011 or S1011a can be implemented through S1011b:

[0113] S1011b. Determine a revised subsidy amount for the first time period based on the expected subsidy amount for the first time period, the first comparison result, the second comparison result, and the range of change in the actual subsidy amount.

[0114] Among them, the method for determining the change in the actual subsidy amount is shown in Formula 1.

[0115] The range of change in the actual subsidy amount can be determined when the target source of goods is detected for the first time within the first time period and the revised subsidy amount is calculated, and then the actual subsidy amount is stored. When the target source of goods is subsequently detected within the first time period to calculate the revised subsidy amount, it is only necessary to retrieve the range of change in the actual subsidy amount from the memory without multiple calculations.

[0116] In other embodiments, the change range of the actual subsidy amount may be recalculated each time the revised subsidy amount is calculated within the first time period, and this application does not limit this.

[0117] The correction amount for the first time period can be determined by Formula 5:

[0118]

[0119] Among them, the change in the actual subsidy amount is Y 1 The revised subsidy amount for the first period Directly proportional.

[0120] It can be understood that the ratio of the actual subsidy amount in the first second time period before the first time period to the expected subsidy amount The actual subsidy amount in the second time period before the first time period is different from the expected subsidy amount. The larger the ratio is, the greater the change in the actual subsidy amount is. 1 The larger it is, the greater the actual subsidy amount in the second time period, which is closer to the first time period. In other words, as the time period increases, the actual subsidy amount also increases, so the revised subsidy amount in the first time period is also higher.

[0121] Accordingly, and The smaller the ratio, the 1 The smaller it is, the smaller the actual subsidy in the second time period, which is closer to the first time period. In other words, as the time period increases, the actual subsidy decreases, so the revised subsidy amount in the first time period is also smaller.

[0122] In this embodiment, when executing the price subsidy strategy for the target supply, the impact of the change in the actual subsidy amount on the correction range of the subsidy amount in the first time period is taken into account; thus, the minimum subsidy priority determined based on this is more in line with the actual subsidy situation, so that supplies with a subsidy priority higher than the minimum subsidy priority can be subsidized in a timely manner.

[0123] As described above, when there is a new source of goods on the transportation service platform, it is necessary to determine whether the new source of goods is a candidate source of goods. If it is a candidate source of goods, the relevant information needs to be added to the candidate source list. That is, before executing S101, it is also necessary to add the target source of goods to the candidate source list.

[0124] Next, through Figure 5 The embodiment illustrates how the transportation service platform specifically adds a target source of goods to a candidate source of goods list.

[0125] Figure 5 A flowchart for implementing the price subsidy method in the freight scenario provided in the embodiment of the present application; Figure 5 As shown, before S101, the method includes:

[0126] Step a1: Obtain one second subsidy amount from a plurality of second subsidy amounts, and execute steps a2 to a4 for the current second subsidy amount until all second subsidy amounts are obtained.

[0127] Among the multiple second subsidy amounts, the amount difference between any two adjacent second subsidy amounts is the same. That is, any two adjacent second subsidy amounts are obtained by bucketing a certain total subsidy amount.

[0128] In step a1, the second subsidy amount obtained each time is different, so it is necessary to perform N rounds of steps a1 to a5; N is the number of second subsidy amounts.

[0129] Exemplarily, the total subsidy amount of 100 is divided into buckets at intervals of 5, and the obtained 20 second subsidy amounts are: 5, 10, 15, 20, ..., 100 respectively.

[0130] Step a2: determine the increase in the transaction probability of the target source of supply under the second subsidy amount based on the transaction probability of the target source of supply to be added to the candidate source list under the second subsidy amount and the transaction probability of the target source of supply without subsidy.

[0131] The target source of goods to be added to the candidate source of goods list is the new source of goods added on the transportation service platform; as mentioned above, the transportation service platform can periodically judge each new source of goods added on the transportation service platform to determine whether it is a candidate source of goods; or, for each new source of goods added to the transportation service platform, the transportation service platform will judge the source of goods on the transportation service platform to determine whether it is a candidate source of goods.

[0132] It can be understood that before performing step b2, it is necessary to first calculate the transaction probability of the target source under the second subsidy amount and the transaction probability of the target source without subsidy.

[0133] Before calculating the transaction probability of the target source of goods under the second subsidy amount, and the transaction probability of the target source of goods without subsidy, it is necessary to determine whether the target source of goods meets the preliminary subsidy conditions based on the transportation service platform's own strategy.

[0134] Specifically, the information of the target source of goods includes: the bid of the source of goods, the supply and demand information of the source of goods (the driver's quotation information, the lowest quotation, the highest quotation, the percentile quotation; the number of drivers who quoted, the quotation time, the distance between the quotation time and the current time), the attribute information of the source of goods (the starting place, the destination, the shipping time, the weight, the volume, the loading and unloading time, the online time of the source of goods), the historical price increase behavior of the owner (no price increase, price increase, number of price increases, price increase range, low price increase, high price increase), the exposure, click-through rate, messages, telephone and other information of the source of goods. In order to distinguish it from the source of goods information in S103, the above information is called the first information of the target source of goods.

[0135] The transportation service platform judges the target source of goods based on the first information of the target source of goods and a pre-established strategy to determine whether the target source of goods meets the preliminary subsidy conditions.

[0136] The judgment strategy used by the transportation service platform can be determined according to the specific circumstances; for example, if the transportation service platform determines that the real-time transaction rate of the target source of cargo is high based on the source information of the target source of cargo, then the target source of cargo does not meet the preliminary subsidy conditions; if the real-time transaction rate of the target source of cargo is high, then it may meet the preliminary subsidy conditions; if the latest loading and unloading time of the target source of cargo is before the current moment, the preliminary subsidy conditions are not met; if the latest loading and unloading time of the target source of cargo is after the current moment, the preliminary subsidy conditions may be met; if the shipping area does not meet the requirements, the preliminary subsidy conditions are not met; if the shipping area meets the requirements, the preliminary subsidy conditions may be met.

[0137] After the transportation service platform determines that the target source of cargo meets the preliminary subsidy conditions, it determines the transaction probability of the target source of cargo under the second subsidy amount and the transaction probability without subsidy based on the above-mentioned first information of the target source of cargo, so as to calculate the increase in the transaction probability.

[0138] Exemplarily, the current second subsidy amount is 5 yuan. When the subsidy is 5 yuan, the transaction probability is 60%, and when there is no subsidy, the transaction probability is 50%. The transaction probability with a subsidy of 5 yuan increases by 10%.

[0139] Step a3: Determine the return on investment of the target source of goods under the second subsidy amount based on the increase in the transaction probability, the profit coefficient, the second subsidy amount, and the transaction probability of the target source of goods under the second subsidy amount.

[0140] Specifically, the rate of return on investment = profit coefficient * increase in transaction probability / (second subsidy amount * transaction probability of the target source under the second subsidy amount).

[0141] The method for determining the increase in transaction probability and the transaction probability of the target source under the second subsidy amount is as described above; in some embodiments, the profit coefficient is related to the customer type; the customer type may include old customers, new customers, ordinary users, VIP users, etc.

[0142] Exemplarily, the profit coefficient corresponding to old customers is lower than the profit coefficient corresponding to new customers.

[0143] Step a4: based on the difference between the return on investment of the target source of goods under the current second subsidy amount and the return on investment of the target source of goods under the previous second subsidy amount, determine the increase in the return on investment corresponding to the second subsidy amount, or the increase in the return on investment corresponding to the second subsidy amount is 0.

[0144] Specifically, if the current second subsidy amount is the first second subsidy amount, the increase in the rate of return on investment corresponding to the second subsidy amount is counted as 0.

[0145] If the current second subsidy amount is any subsidy amount from the second subsidy amount to the last subsidy amount, the increase in the return on investment corresponding to the second subsidy amount is determined based on the difference between the return on investment of the target source of goods under the current second subsidy amount and the return on investment of the target source of goods under the previous second subsidy amount.

[0146] Exemplarily, the return on investment of the target source of goods under the current second subsidy amount of 10 is a, and the return on investment under the previous second subsidy amount of 5 is b, then the increase in the return on investment corresponding to the second subsidy amount of 10 is ab.

[0147] Step a5: determine whether the second subsidy amount has been obtained; if so, execute step a6; otherwise, return to execute step a1.

[0148] After executing steps a2 to a5 for each of the multiple second subsidy amounts, the increase in transaction probability corresponding to each second subsidy amount, the return on investment corresponding to each second subsidy amount, and the increase in the return on investment corresponding to each second subsidy amount are obtained.

[0149] Step a6: Determine that the target source of goods is a candidate source of goods based on the fact that the increase in the probability of transaction corresponding to each of the second subsidy amounts is greater than the first preset threshold, the return on investment corresponding to each of the second subsidy amounts is greater than the second threshold, and the increase in the return on investment corresponding to each of the second subsidy amounts is greater than the third threshold.

[0150] As described above, whether the target source of goods is a candidate source of goods can be determined based on the above three conditions.

[0151] If among all the second subsidy amounts, there is a subsidy amount whose increase in the probability of transaction is less than or equal to the first threshold; or, among all the second subsidy amounts, there is a second subsidy amount whose return on investment is less than or equal to the second threshold; or, among all the second subsidy amounts, there is a second subsidy amount whose return on investment is less than or equal to the third threshold, then the target source of supply is not a candidate source of supply.

[0152] Step a7: Add the supply information of the target supply source to the candidate supply source list.

[0153] Specifically, as shown in Table 1, the supply information in Table 1 is added to the candidate supply list, including the supply ID of the target supply, the subsidy priority score, the first subsidy amount, etc. The determination method of the subsidy priority score and the first subsidy amount is described in the following embodiment and will not be repeated here.

[0154] It should be noted that in the embodiment of the present application, there is no order between the steps of detecting the candidate supply list to implement the price compensation strategy for the target supply and the steps of the transportation service platform detecting whether the newly added supply is a candidate supply. Therefore, as long as there is a case where the newly added supply is a candidate supply, the judgment of whether the newly added supply is a candidate supply can also be implemented based on the judgment process of whether the target supply is a candidate supply in this embodiment. If so, the candidate supply is added to the candidate supply list, that is, the candidate supply list is updated.

[0155] In this embodiment, before executing the price subsidy strategy for the target source of supply, the increase in the transaction probability, the rate of return on investment, and the increase in the rate of return on investment of the target source of supply for multiple second subsidy amounts are first determined based on the first information of the target source of supply, and based on the above information, it is determined whether the target source of supply is a candidate source of supply; if the target source of supply is a candidate source of supply, the source information of the target source of supply is added to the candidate source list.

[0156] As described above, the source information of the target source in step a7 is shown in Table 1. The ID of the target source is known. Therefore, before adding the source information of the target source to the candidate source list, it is necessary to first determine the first subsidy priority of the target source and the subsidy priority score of the target source.

[0157] The present application provides a price subsidy method in a freight scenario, which is used to illustrate a specific implementation method for determining a first subsidy priority and a subsidy priority score.

[0158] Figure 7 A flowchart for implementing the price subsidy method provided in the embodiment of the present application; Figure 7 As shown, before step a7, it also includes:

[0159] Step b1, determine the second subsidy amount with the highest return on investment among multiple second subsidy amounts, and determine the second subsidy amount as the first subsidy amount for the target source of goods; or determine the second subsidy amount with the largest increase in transaction probability among multiple second subsidy amounts, and determine the second subsidy amount as the first subsidy amount for the target source of goods.

[0160] The return on investment corresponding to the first subsidy amount is related to the priority of the target source of goods among one or more candidate sources of goods. Therefore, in this embodiment, after determining the first subsidy amount, the subsidy priority score can be determined according to the return on investment corresponding to the first subsidy amount and the first information of the target source of goods.

[0161] In this embodiment, the second subsidy amount with the highest return on investment or the second subsidy amount with the largest increase in transaction probability is determined as the first subsidy amount for the target source of goods, and then the target source of goods is price subsidized based on the first subsidy amount. In this way, the target source of goods can be traded as soon as possible and the revenue of the transportation service platform can be increased.

[0162] It should be noted that although the steps of the method in the present application are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.; or, steps in different embodiments may be combined into a new technical solution.

[0163] Based on the foregoing embodiments, the embodiments of the present application provide a price subsidy device in a freight scenario, which includes the modules included and the units included in the modules, and can be implemented by a processor; of course, it can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP) or a field programmable gate array (FPGA), etc.

[0164] Figure 7 A schematic diagram of the structure of a price subsidy device in a freight scenario provided in an embodiment of the present application, such as Figure 7 As shown, the price subsidy device 70 in the freight scenario includes a determination module 701, a price subsidy module 702 and an update module 703, wherein:

[0165] Determination module 701 is used to detect one or more candidate sources of supply in the candidate source list. When it is detected that there is a target source of supply that meets the subsidy conditions among the one or more candidate sources of supply, the current subsidized source quantity is determined based on the current subsidized amount information, the current subsidized source quantity information and the expected subsidy amounts corresponding to multiple predetermined time periods; wherein the source quantity is used to indicate the minimum subsidy priority of the target source of supply.

[0166] Determination module 701 is also used to determine the first subsidy priority of the target source in the candidate source list. When the first subsidy priority is lower than the minimum subsidy priority indicated by the source quantity, it returns to execute the detection of the candidate source list. When it is detected that the target source exists in the candidate source list, it determines the current subsidized source quantity and determines the first subsidy priority of the target source until the first subsidy priority is higher than or equal to the minimum subsidy priority indicated by the current subsidized source quantity.

[0167] The price subsidy module 702 is used to provide price subsidies to the target source of goods based on a predetermined first subsidy amount when the first subsidy priority is higher than or equal to the minimum subsidy priority.

[0168] The update module 703 is used to remove the supply information corresponding to the target source of supply in the candidate supply list to update the candidate supply list. When the price subsidy termination condition is not met, the determination module 701 is used to return to execute the detection of the candidate supply list for the updated candidate supply list. When it is detected that the target source of supply exists in the candidate supply list, the current subsidized supply quantity and the first subsidy priority are determined. The corresponding process operations are performed based on the minimum subsidy priority indicated by the current subsidized supply quantity and the subsidy priority of the target source of supply until the price subsidy termination condition is met; and the price subsidy process is terminated.

[0169] In some embodiments, the multiple time periods include a first time period, at least one second time period and at least one third time period; the first time period is the time period where the current moment is located; the second time period is before the first time period, and the third time period is after the first time period; the currently subsidized amount information includes the actual subsidy amount corresponding to the at least one second time period respectively; and the actual subsidy amount from the start time of the first time period to the current moment; the currently subsidized supply quantity information includes: the total actual subsidized supply quantity from the start time of the first second time period to the current moment; the determination module 701 is specifically used to determine the revised subsidy amount of the first time period based on the expected subsidy amount of the first time period and the first comparison result; wherein the first comparison result is the sum of the expected subsidy amount of the at least one second time period and the difference between the sum of the actual subsidy amount of the at least one second time period and the sum of the actual subsidy amount of the at least one second time period; the revised subsidy amount is positively correlated with the first comparison result; based on the actual subsidy amount corresponding to the at least one second time period respectively and the sum of the actual subsidy amount from the start time of the first time period to the current moment, and the actual total subsidized supply quantity, determine the average subsidy amount per supply source; based on the revised subsidy amount and the average subsidy amount per supply source, determine the subsidizable supply quantity.

[0170] In some embodiments, determination module 701 is specifically used to determine the revised subsidy amount based on the expected subsidy amount of the first time period, the first comparison result and the second comparison result; wherein the second comparison result is the ratio of the expected subsidy amount of the first time period to the sum of the expected subsidy amounts of at least one third time period; and the second comparison result is positively correlated with the revised subsidy amount.

[0171] In some embodiments, the determination module 701 determines the revised subsidy amount based on the expected subsidy amount, the first comparison result, the second comparison result, and the change range of the actual subsidy amount in the first time period; the change range of the actual subsidy amount is determined by formula 1: The revised subsidy amount is determined based on the expected subsidy amount, the first comparison result, the second comparison result, and the change range of the actual subsidy amount in the first time period; the change range of the actual subsidy amount is determined by formula 1: Among them, Y 1 is the change in the actual subsidy amount, X j-1 is the actual subsidy amount in the first second time period before the first time period, S j-1 is the expected subsidy amount for the first second time period before the first time period, X j-2 is the actual subsidy amount in the second time period before the first time period, S j-2 is the actual subsidy amount in the second time period before the first time period; ε is the dynamic adjustment coefficient.

[0172] In some embodiments, the determination module 701 is also used to determine, for each of the preset multiple second subsidy amounts; based on the transaction probability of the target source of goods under the second subsidy amount and the transaction probability of the target source of goods without subsidy, determine the increase in the transaction probability of the target source of goods under the second subsidy amount; based on the increase in the transaction probability, the profit coefficient, the second subsidy amount and the transaction probability of the target source of goods under the second subsidy amount, determine the return on investment of the target source of goods under the second subsidy amount; based on the difference between the return on investment of the target source of goods under the second subsidy amount and the return on investment of the target source of goods under the previous second subsidy amount, determine the increase in the return on investment corresponding to the second subsidy amount; based on the increase in the transaction probability corresponding to each of the second subsidy amounts being greater than the first preset threshold, the return on investment corresponding to each of the second subsidy amounts being greater than the second threshold, and the increase in the return on investment corresponding to each of the second subsidy amounts being greater than the third threshold, determine that the target source of goods is a candidate source of goods; and add the source information of the target source of goods to the candidate source list.

[0173] In some embodiments, the determination module 701 is also used to determine the second subsidy amount with the largest return on investment among the multiple second subsidy amounts as the first subsidy amount for the target source of supply; or, to determine the second subsidy amount with the largest increase in transaction probability among the multiple second subsidy amounts as the first subsidy amount for the target source of supply; wherein the return on investment corresponding to the first subsidy amount for the target source of supply is related to the priority of the target source of supply among the one or more candidate sources of supply.

[0174] In some embodiments, the price subsidy end conditions include: the first total subsidy amount has been used up; or, the last third time period ends; wherein, the first total subsidy amount is the sum of the expected subsidy amounts corresponding to the multiple time periods respectively.

[0175] It should be noted that in the embodiments of this application Figure 7 The division of modules in the price subsidy method in the freight scenario shown is schematic, and is only a logical functional division. There may be other division methods in actual implementation. In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or it can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. It can also be implemented in the form of a combination of software and hardware.

[0176] An embodiment of the present application provides an electronic device, Figure 8 Schematic diagram of the hardware entity of the electronic device of the embodiment of the present application, such as Figure 8 As shown, the electronic device 80 includes a memory 81 and a processor 82, wherein the memory 81 stores a computer program that can be run on the processor 82, and the processor 82 implements the steps in the method provided in the above embodiment when executing the program.

[0177] It should be noted that the memory 81 is configured to store instructions and applications executable by the processor 82, and can also cache data to be processed or already processed by the processor 82 and various modules in the electronic device 80 (for example, image data, audio data, voice communication data, and video communication data), which can be implemented through flash memory (FLASH) or random access memory (Random Access Memory, RAM).

[0178] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the price subsidy method in the freight scenario provided in the above embodiment are implemented.

[0179] An embodiment of the present application provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the steps of the price subsidy method in the freight scenario provided in the above method embodiment.

[0180] It should be noted here that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium, storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

Claims

1. A price subsidy method in a freight scenario, characterized in that: include: One or more candidate supply sources in the candidate supply source list are detected, and when it is detected that there is a target supply source that meets the subsidy conditions among the one or more candidate supply sources, the current subsidized supply source quantity is determined based on the current subsidized amount information, the current subsidized supply source quantity information, and the expected subsidy amounts corresponding to the predetermined multiple time periods; wherein the supply source quantity is used to indicate the minimum subsidy priority of the target supply source; Determine the first subsidy priority of the target source in the candidate source list, and if the first subsidy priority is lower than the minimum subsidy priority indicated by the source quantity, return to execute the operation of detecting the candidate source list, and if it is detected that the target source exists in the candidate source list, determine the current subsidizable source quantity, and determine the first subsidy priority of the target source, until the first subsidy priority is higher than or equal to the minimum subsidy priority indicated by the current subsidizable source quantity; Perform price subsidies on the target source of goods based on a predetermined first subsidy amount, and remove the source information corresponding to the target source of goods in the candidate source list to update the candidate source list, and if the price subsidy termination condition is not met, return to execute detection of the candidate source list for the updated candidate source list, and if it is detected that the target source of goods exists in the candidate source list, determine the current subsidized source quantity, determine the first subsidy priority, and perform operations of the corresponding process based on the minimum subsidy priority indicated by the current subsidized source quantity and the subsidy priority of the target source of goods, until the price subsidy termination condition is met; End the price subsidy process.

2. The method according to claim 1, characterized in that The multiple time periods include a first time period, at least one second time period and at least one third time period; the first time period is the time period of the current moment; the second time period is before the first time period, and the third time period is after the first time period; the currently subsidized amount information includes the actual subsidy amount corresponding to the at least one second time period; and, the actual subsidy amount from the start time of the first time period to the current time; The current subsidized supply quantity information includes: the actual total quantity of subsidized supply from the start time of the first and second time periods to the current time; The determining the current subsidized supply quantity based on the current subsidized amount information, the current subsidized supply quantity information and the expected subsidy amounts corresponding to the predetermined multiple time periods respectively includes: Determine a revised subsidy amount for the first time period based on the expected subsidy amount for the first time period and a first comparison result; wherein the first comparison result is the difference between the sum of the expected subsidy amounts for the at least one second time period and the sum of the actual subsidy amounts for the at least one second time period; and the revised subsidy amount is positively correlated with the first comparison result; Determine the average subsidy amount per source of goods based on the actual subsidy amount corresponding to at least one second time period and the sum of the actual subsidy amount from the start time of the first time period to the current time, and the total number of actual subsidized sources of goods; The supply quantity is determined based on the revised subsidy amount and the average subsidy amount of the supply order.

3. The method according to claim 2, characterized in that The determining, based on the expected subsidy amount for the first time period and the first comparison result, a revised subsidy amount for the first time period includes: The revised subsidy amount is determined based on the expected subsidy amount for the first time period, the first comparison result and the second comparison result; wherein the second comparison result is the ratio of the expected subsidy amount for the first time period to the sum of the expected subsidy amounts for at least one third time period; and the second comparison result is positively correlated with the revised subsidy amount.

4. The method according to claim 3, characterized in that The determining the revised subsidy amount based on the expected subsidy amount in the first time period, the first comparison result and the second comparison result includes: The revised subsidy amount is determined based on the expected subsidy amount in the first time period, the first comparison result, the second comparison result, and the change range of the actual subsidy amount; the change range of the actual subsidy amount is determined by formula 1: Among them, Y1 is the change range of the actual subsidy amount, X j-1 is the actual subsidy amount in the first second time period before the first time period, S j-1 is the expected subsidy amount for the first second time period before the first time period, X j-2 is the actual subsidy amount in the second time period before the first time period, S j-2 is the actual subsidy amount in the second time period before the first time period; ε is the dynamic adjustment coefficient.

5. The method according to claim 1, characterized in that Before testing one or more candidate supply sources in the candidate supply source list, the method further includes: For each of the preset multiple second subsidy amounts, based on the transaction probability of the target source of goods under the second subsidy amount and the transaction probability of the target source of goods without subsidy, determine the increase range of the transaction probability of the target source of goods under the second subsidy amount; Determine the return on investment of the target source of goods under the second subsidy amount based on the increase in the transaction probability, the profit coefficient, the second subsidy amount, and the transaction probability of the target source of goods under the second subsidy amount; Determine the increase in the rate of return on investment corresponding to the second subsidy amount based on the difference between the rate of return on investment of the target source of goods under the second subsidy amount and the rate of return on investment of the target source of goods under the previous second subsidy amount; Determine that the target source of goods is a candidate source of goods based on the fact that the increase in the probability of transaction corresponding to each of the second subsidy amounts is greater than the first preset threshold, the return on investment corresponding to each of the second subsidy amounts is greater than the second threshold, and the increase in the return on investment corresponding to each of the second subsidy amounts is greater than the third threshold; Add the supply information of the target supply source to the candidate supply source list.

6. The method according to claim 5, characterized in that The method further comprises: Determine the second subsidy amount with the largest investment return rate among the multiple second subsidy amounts as the first subsidy amount for the target supply; or, Determine the second subsidy amount with the largest increase in transaction probability among the multiple second subsidy amounts as the first subsidy amount for the target source of goods; Among them, the return on investment corresponding to the first subsidy amount of the target source of supply is related to the priority of the target source of supply among the one or more candidate sources of supply.

7. The method according to claim 1, characterized in that The price subsidy termination conditions include: the first total subsidy amount has been used up; or the last third time period has ended; wherein the first total subsidy amount is the sum of the expected subsidy amounts corresponding to the multiple time periods respectively.

8. A price subsidy device in a freight scenario, characterized in that: include: A module for executing the method according to any one of claims 1 to 7.

9. An electronic device, characterized in that: include: Memory and processor; The memory is configured to store computer program instructions; The processor is configured to execute the computer program instructions so that the electronic device implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: include: Computer program instructions; The electronic device runs the computer program instructions so that the electronic device implements the method according to any one of claims 1 to 7.

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