Dynamic pricing method and device, equipment, storage medium and program product

Abstract

The invention discloses a dynamic pricing method and device, equipment, a storage medium and a program product, and relates to the technical field of automobile aftermarkets. In the invention, the dynamic pricing method for the guarantee service product of the automobile aftermarket is provided. The method comprises the following steps: firstly, determining the basic price of a guarantee service product based on the product cost of the guarantee service product, then, determining the price adjustment trend of the product based on the price change and sales volume change of the product in a historical observation window period, and finally, adjusting the basic price of the product according to the price adjustment trend to obtain the target price of the product. Therefore, compared with a pricing method based on expert experience, reasonable and accurate dynamic pricing is carried out on the guarantee service products of the automobile aftermarket through the basic price corresponding to the product cost and the price adjustment trend corresponding to the price change and the sales change.

Description

Technical Field

[0001] The present application relates to the technical field of the automotive aftermarket, and in particular to a dynamic pricing method, a dynamic pricing apparatus, a dynamic pricing device, a storage medium, and a computer program product. Background Art

[0002] Currently, pricing for car owner protection services in the automotive aftermarket often relies on expert experience from frontline personnel who come into contact with car owners, such as senior sales staff, vehicle recovery specialists, and maintenance and compensation personnel. This approach has limitations and lags, making the pricing of protection service products for the automotive aftermarket unreasonable and inaccurate.

[0003] The above content is only used to assist in understanding the technical solution of this application and does not constitute an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of this application is to provide a dynamic pricing method, dynamic pricing device, dynamic pricing equipment, storage medium and computer program product, aiming to solve the technical problem that the pricing of insurance service products for the automotive aftermarket is not reasonable and accurate enough.

[0005] To achieve the above objectives, this application proposes a dynamic pricing method for aftermarket automotive warranty products, including:

[0006] Determining a base price for the security service product based on the product cost of the security service product;

[0007] Determine the price adjustment trend of the guarantee service product based on the price and sales volume changes of the guarantee service product during the historical observation window period;

[0008] The base price of the guarantee service product is adjusted according to the price adjustment trend to obtain a target price of the guarantee service product.

[0009] In one embodiment, the step of determining the base price of the guarantee service product based on the product cost of the guarantee service product includes:

[0010] Obtaining the fixed costs and variable costs constituting the product cost of the guarantee service product, as well as the expected sales volume and target profit margin of the guarantee service product;

[0011] Calculate the average variable cost and fixed allocated cost per unit of the guarantee service product based on the fixed cost, the variable cost, and the expected sales volume;

[0012] The average variable cost per unit is marked up based on the target profit margin, and the average variable cost per unit and the fixed allocated cost after the markup are used as the base price of each of the guarantee service products.

[0013] In one embodiment, the step of determining the price adjustment trend of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period includes:

[0014] Determining the demand type of the guarantee service product based on price changes and sales volume changes of the guarantee service product during a historical observation window;

[0015] Based on the demand type, a price adjustment trend of the security service product is determined.

[0016] In one embodiment, the step of determining the demand type of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period includes:

[0017] If the price change of the guarantee service product during the historical observation window is greater than the sales change, the demand type of the guarantee service product is determined to be rigid demand;

[0018] If the price change of the guarantee service product during the historical observation window period is less than or equal to the sales volume change, it is determined that the demand type of the guarantee service product is elastic demand.

[0019] In one embodiment, the step of determining the price adjustment trend of the guarantee service product based on the demand type includes:

[0020] If the demand type of the guarantee service product is rigid demand, determining that the price adjustment trend of the guarantee service product is to increase the price;

[0021] If the demand type of the guarantee service product is elastic demand, it is determined that the price adjustment trend of the guarantee service product is to reduce the price.

[0022] In one embodiment, the step of determining the demand type of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period further includes:

[0023] Based on the price changes and sales volume changes of the guarantee service product during the historical observation window period, the demand type of the guarantee service product in the latest price adjustment cycle is predicted.

[0024] In addition, to achieve the above objectives, the present application also proposes a dynamic pricing device, which is targeted at insurance service products in the automotive aftermarket and includes:

[0025] A first determining module, configured to determine a base price of the guarantee service product based on the product cost of the guarantee service product;

[0026] a second determining module, configured to determine a price adjustment trend of the guarantee service product based on price changes and sales volume changes of the guarantee service product during a historical observation window;

[0027] The third determining module is configured to adjust the base price of the guarantee service product according to the price adjustment trend to obtain a target price of the guarantee service product.

[0028] In addition, to achieve the above-mentioned purpose, the present application also proposes a dynamic pricing device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is configured to implement the steps of the dynamic pricing method described above.

[0029] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the dynamic pricing method described above are implemented.

[0030] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the dynamic pricing method described above.

[0031] One or more technical solutions proposed in this application have at least the following technical effects:

[0032] This application proposes a dynamic pricing method for aftermarket automotive warranty products. First, a base price is determined based on the product cost. Then, a price adjustment trend is determined based on price and sales changes during a historical observation window. Finally, the base price is adjusted based on the price adjustment trend to obtain a target price. Compared to pricing methods based on expert experience, this method uses a base price corresponding to product cost and price adjustment trends corresponding to price and sales changes to achieve reasonable and accurate dynamic pricing for aftermarket warranty products. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0035] Figure 1 A flowchart of the first embodiment of the dynamic pricing method of this application is provided;

[0036] Figure 2 A schematic diagram of a sub-process provided for Example 1 of the dynamic pricing method of this application;

[0037] Figure 3 An application diagram provided for Example 1 of the dynamic pricing method of this application;

[0038] Figure 4 This is a schematic diagram of the module structure of the dynamic pricing device according to an embodiment of the present application;

[0039] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the dynamic pricing method in the embodiment of the present application.

[0040] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0041] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0042] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0043] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication, and program execution capabilities, such as a tablet computer, personal computer, or mobile phone, or an electronic device or dynamic pricing product capable of implementing the aforementioned functions. This embodiment and the following embodiments will be described below using a dynamic pricing product as an example.

[0044] Based on this, the embodiment of the present application provides a dynamic pricing method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the dynamic pricing method of this application.

[0045] In this embodiment, the dynamic pricing method includes steps S10 to S40:

[0046] Step S10, determining a base price of the guarantee service product based on the product cost of the guarantee service product;

[0047] Protection service products refer to after-sales products that can provide car owner rights protection services in the automotive aftermarket. They are not completely equivalent to vehicle insurance. In one application scenario, the car value-added product service application platform is used as business support, and services are provided to C-end car owners through car dealers / 4S stores. In conjunction with customized product solutions (including but not limited to value-added service products: replacement compensation, transportation compensation, minor repair compensation, borrower accident protection, etc.; extended warranty products: manufacturer extended warranty, store-side extended warranty, etc.), when an accident occurs or vehicle parts fail during the use of the car by the C-end car owner, the assets can be proactively preserved, and at the same time, more profit methods can be provided for car dealers / 4S stores.

[0048] In a feasible implementation, step S10 may include:

[0049] Obtain the fixed costs and variable costs that constitute the product costs of the guarantee service product, as well as the expected sales volume and target profit margin of the guarantee service product;

[0050] Based on fixed costs, variable costs, and expected sales volume, calculate the average variable cost and fixed allocated cost per service item.

[0051] Based on the target profit margin, the average variable cost per unit is marked up, and the average variable cost per unit and the fixed allocated cost after the markup are used as the basic price for each insurance service product.

[0052] The product costs that constitute the protection service products include the fixed costs and variable costs of the protection service products. Among them, fixed costs include infrastructure investment (data center server purchase costs, initial version development costs of the above-mentioned vehicle value-added product service application platform and subsequent version maintenance costs, etc.), technology research and development costs, compliance expenses (data security certification costs, legal advisory fixed annual fees, etc.), channel construction costs (4S store access system development costs, training center construction costs, standardized service process design costs, etc.), fixed asset depreciation (office space rental, special testing equipment depreciation, customer service center hardware equipment depreciation, etc.), brand building costs, etc. Variable costs include claims service costs (average spare parts procurement cost per unit, repair labor costs, replacement vehicle rental costs, roadside rescue attendance costs, etc.), channel commission costs, data collection costs (Internet of Vehicles data call costs, third-party credit inquiry fees, high-precision map API usage fees, etc.), operating service costs, technical operation and maintenance costs, marketing and promotion costs, etc.

[0053] In one embodiment, if the fixed cost is P1, the variable cost is P2, and the expected sales volume is N, the calculated average variable cost per unit of the guarantee service product is P2 / N, and the fixed allocated cost is P1 / N. Furthermore, the average variable cost per unit P2 / N is added based on the target profit margin S, and the added average variable cost per unit P2 / N(S) and the fixed allocated cost P1 / N are used as the base price PJ = P2 / N(S) + P1 / N for each guarantee service product. Among them, the average variable cost per unit after markup P2 / N(S) = average variable cost per unit P2 / (1-target profit margin S); further, considering channel sharing, the average variable cost per unit P2 / N(S) after markup = average variable cost per unit P2 / (1-target profit margin S-channel sharing rate); further, considering the existence of multi-level channels and multi-level sharing, the average variable cost per unit P2 / N(S) after markup = average variable cost per unit P2 / (1-target profit margin S-Σ profit sharing ratio).

[0054] Step S20, determining a price adjustment trend of the guarantee service product based on price changes and sales volume changes of the guarantee service product during the historical observation window period;

[0055] By collecting and counting the price change △R and sales change △X of the guarantee service product during the historical observation window period T, the price adjustment trend of the guarantee service product is determined based on the price change △R and sales change △X. The historical observation window period T can be considered a historical price adjustment cycle or a historical sales statistics cycle. In one embodiment, first, the price change rate △R / T and the sales change rate △X / T of the price change △R and the sales change △X in the historical observation window period T are determined, and then the price adjustment trend can be determined based on the size relationship between the price change rate △R / T and the sales change rate △X / T: 1. If the price change rate △R / T is greater than the sales change rate △X / T, it means that the price change of 1, 1 when the price increased did not bring about a significant drop in sales. At this time, the price adjustment trend is: the price can continue to be increased, and the range of the continued price increase should be lower than the range of the price increase in the previous historical observation window to avoid a significant drop in sales, or the price of the previous historical observation window can be maintained; the price change of 1, 2 when the price decreased did not bring about a significant increase in sales. At this time, the price adjustment trend is: the price can continue to be reduced, and the range of the continued price reduction should be lower than the range of the price reduction in the previous historical observation window to avoid a significant drop in profits, or the price of the previous historical observation window can be maintained. 2. If the price change rate △R / T is less than the sales volume change rate △X / T, this indicates that the price changes in 2 and 1 during price increases did not have a significant negative impact on sales growth, and the sales increase was caused by other favorable factors. At this time, the price adjustment trend is: maintain the price of the previous historical observation window to avoid the negative impact of further price increases on sales. 1 and 2 during price decreases led to an increase in sales. At this time, the price adjustment trend is: continue to reduce the price, but the extent of the continued price reduction should be lower than the extent of the price reduction in the previous historical observation window to avoid a significant drop in profits, or maintain the price of the previous historical observation window to maintain the sales increase caused by the price reduction and / or other favorable factors.

[0056] In one possible embodiment, referring to Figure 2 , step S20 may include steps S201 to S202:

[0057] Step S201, determining the demand type of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period;

[0058] Step S202: determining the price adjustment trend of the security service product based on the demand type.

[0059] When determining the price adjustment trend of a guarantee service product based on price and sales changes during a historical observation window, the demand type of the guarantee service product, such as rigid demand or elastic demand, can also be determined based on the price and sales changes during the historical observation window. Thus, the price adjustment trend of the guarantee service product can be determined based on the demand type, rigid demand or elastic demand.

[0060] In a feasible implementation, step S201 may include:

[0061] If the price change of the guarantee service product during the historical observation window is greater than the sales change, the demand type of the guarantee service product is determined to be rigid demand;

[0062] If the price change of the guarantee service product during the historical observation window is less than or equal to the sales change, the demand type of the guarantee service product is determined to be elastic demand.

[0063] In a feasible implementation, step S202 may include:

[0064] If the demand type of the guarantee service product is rigid demand, the price adjustment trend of the guarantee service product is determined to be an increase in price;

[0065] If the demand type of the guarantee service product is elastic demand, the price adjustment trend of the guarantee service product is determined to be a downward adjustment.

[0066] If the price change of the protection service product during the historical observation window period is greater than the sales volume change, then the demand type of the protection service product is determined to be rigid demand. At this time, the price adjustment trend of the protection service product is to increase the price. For example, a 5% price increase for the extended warranty product of a high-end car will only result in a loss of 2% of customers. If the price change of the protection service product during the historical observation window period is less than or equal to the sales volume change, then the demand type of the protection service product is determined to be elastic demand. At this time, the price adjustment trend of the protection service product is to decrease the price. For example, a 10% price reduction will bring a 15% sales increase for the young car owner group.

[0067] In a feasible implementation, step S201 may further include:

[0068] Based on the price and sales volume changes of security service products during the historical observation window, the demand type of security service products in the latest price adjustment cycle is predicted.

[0069] In addition to determining the demand type based on a comparison of price and sales volume changes of security service products during the historical observation window period, the demand type of security service products in the latest price adjustment cycle can also be predicted based on the price and sales volume changes of security service products during the historical observation window period.

[0070] In one embodiment, referring to Table 1 below, the elasticity coefficient E is defined as the sales volume fluctuation range / price fluctuation range. Rigid demand is: |E| < 0.5 (for example, a 10% price change causes a sales volume fluctuation of < 5%), and elastic demand is: |E| ≥ 0.5 (high price sensitivity).

[0071] Price fluctuation range Sales volume change Absolute value of elastic modulus Determination of demand type +8％ -3％ 0.375 Rigid demand -5％ +9％ 1.8 Elastic demand +10％ -12％ 1.2 Elastic demand -6％ +2％ 0.33 Rigid demand

[0072] Table 1

[0073] If, during multiple historical observation windows, such as 24 months, it is confirmed that the continuous period in the target demand type is greater than the preset duration according to the elasticity coefficient E defined above, or the proportion of the period in the target demand type is greater than the preset proportion, then it can be predicted that the demand type for the service product in the latest price adjustment cycle will be the target demand type.

[0074] Step S30: Adjust the basic price of the guarantee service product according to the price adjustment trend to obtain the target price of the guarantee service product.

[0075] In one embodiment, referring to Figure 3 First, the base price of the product is determined based on the product cost of the guarantee service product. Then, the price adjustment trend of the product is determined based on the price changes and sales volume changes of the product during the historical observation window. Finally, the base price of the product is adjusted according to the price adjustment trend to obtain the target price of the product.

[0076] It should be noted that when the base price is adjusted in step S30 , the service product is also adjusted to achieve the target profit margin, which is the expected pricing target.

[0077] In this embodiment, a dynamic pricing method for aftermarket warranty service products is proposed. First, a base price is determined based on the product cost. Then, a price adjustment trend is determined based on price and sales changes during a historical observation window. Finally, the base price is adjusted based on the price adjustment trend to obtain the target price. Compared to pricing methods based on expert experience, this method, which uses a base price corresponding to product cost and price adjustment trends corresponding to price and sales changes, allows for reasonable and accurate dynamic pricing of aftermarket warranty service products.

[0078] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the dynamic pricing method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0079] This application also provides a dynamic pricing device, please refer to Figure 4 , the dynamic pricing device includes:

[0080] A first determining module 10 is configured to determine a base price of the protection service product based on the product cost of the protection service product;

[0081] The second determining module 20 is configured to determine a price adjustment trend of the guarantee service product based on price changes and sales volume changes of the guarantee service product during a historical observation window period;

[0082] The third determining module 30 is configured to adjust the basic price of the guarantee service product according to the price adjustment trend to obtain a target price of the guarantee service product.

[0083] In one embodiment, the first determining module 10 is further configured to:

[0084] Obtain the fixed costs and variable costs that constitute the product costs of the guarantee service product, as well as the expected sales volume and target profit margin of the guarantee service product;

[0085] Based on fixed costs, variable costs, and expected sales volume, calculate the average variable cost and fixed allocated cost per service item.

[0086] Based on the target profit margin, the average variable cost per unit is marked up, and the average variable cost per unit and the fixed allocated cost after the markup are used as the basic price for each insurance service product.

[0087] In one embodiment, the second determining module 20 is further configured to:

[0088] Determine the demand type of the guarantee service product based on the price and sales volume changes of the guarantee service product during the historical observation window;

[0089] Determine the price adjustment trend of security service products based on demand type.

[0090] In one embodiment, the second determining module 20 is further configured to:

[0091] If the price change of the guarantee service product during the historical observation window is greater than the sales change, the demand type of the guarantee service product is determined to be rigid demand;

[0092] If the price change of the guarantee service product during the historical observation window is less than or equal to the sales change, the demand type of the guarantee service product is determined to be elastic demand.

[0093] In one embodiment, the second determining module 20 is further configured to:

[0094] If the demand type of the guarantee service product is rigid demand, the price adjustment trend of the guarantee service product is determined to be an increase in price;

[0095] If the demand type of the guarantee service product is elastic demand, the price adjustment trend of the guarantee service product is determined to be a downward adjustment.

[0096] In one embodiment, the second determining module 20 is further configured to:

[0097] Based on the price and sales volume changes of security service products during the historical observation window, the demand type of security service products in the latest price adjustment cycle is predicted.

[0098] The dynamic pricing device provided in this application, utilizing the dynamic pricing method described in the aforementioned embodiments, can address the technical issue of inadequate and inaccurate pricing for warranty service products in the automotive aftermarket. Compared to the prior art, the dynamic pricing device provided in this application offers the same beneficial effects as the dynamic pricing method described in the aforementioned embodiments. Other technical features of the dynamic pricing device are the same as those disclosed in the aforementioned embodiments and are not further elaborated here.

[0099] The present application provides a dynamic pricing device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the dynamic pricing method in the above-mentioned embodiment 1.

[0100] Reference below Figure 5 , which shows a schematic diagram of the structure of a dynamic pricing device suitable for implementing embodiments of the present application. The dynamic pricing device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The dynamic pricing device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0101] like Figure 5As shown, the dynamic pricing device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory 1002 or programs loaded from a storage device 1003 into a random access memory 1004. Random access memory 1004 also stores various programs and data required for the operation of the dynamic pricing device. Processing device 1001, read-only memory 1002, and random access memory 1004 are interconnected via a bus 1005. An input / output interface 1006 is also connected to the bus. Typically, the following systems may be connected to the input / output interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 1003 including, for example, a magnetic tape, hard disk, etc.; and communication device 1009. Communication device 1009 can allow the dynamic pricing device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a dynamic pricing device with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented or have alternatively.

[0102] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are performed.

[0103] The dynamic pricing device provided in this application, utilizing the dynamic pricing method described in the aforementioned embodiment, can address the technical issue of inadequate and inaccurate pricing for warranty service products in the automotive aftermarket. Compared to the prior art, the dynamic pricing device provided in this application offers the same beneficial effects as the dynamic pricing method described in the aforementioned embodiment. Other technical features of this dynamic pricing device are the same as those disclosed in the aforementioned embodiment and are not further elaborated here.

[0104] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0105] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0106] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer program) stored thereon, wherein the computer-readable program instructions are used to execute the dynamic pricing method in the above-mentioned embodiment.

[0107] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0108] The computer-readable storage medium may be included in the dynamic pricing device, or may exist independently without being incorporated into the dynamic pricing device.

[0109] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the dynamic pricing device, the dynamic pricing device: determines the base price of the guarantee service product based on the product cost of the guarantee service product; determines the price adjustment trend of the guarantee service product based on the price changes and sales volume changes of the guarantee service product during the historical observation window period; and adjusts the base price of the guarantee service product according to the price adjustment trend to obtain the target price of the guarantee service product.

[0110] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0111] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0112] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0113] The computer-readable storage medium provided in this application stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned dynamic pricing method. This computer-readable storage medium can address the technical issue of inadequate and inaccurate pricing for warranty service products in the automotive aftermarket. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are similar to those of the dynamic pricing method provided in the aforementioned embodiments and are not further elaborated here.

[0114] The present application also provides a computer program product, comprising a computer program, which implements the steps of the above-mentioned dynamic pricing method when executed by a processor.

[0115] The computer program product provided in this application can address the technical issue of inadequate and inaccurate pricing for aftermarket warranty services. Compared to existing technologies, the beneficial effects of the computer program product provided in this application are similar to those of the dynamic pricing method provided in the aforementioned embodiments, and are not further elaborated here.

[0116] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A dynamic pricing method, characterized in that: The dynamic pricing method is targeted at aftermarket automotive warranty products, including: Determining a base price for the security service product based on the product cost of the security service product; Determine the price adjustment trend of the guarantee service product based on the price and sales volume changes of the guarantee service product during the historical observation window period; The base price of the guarantee service product is adjusted according to the price adjustment trend to obtain a target price of the guarantee service product.

2. The dynamic pricing method according to claim 1, wherein: The step of determining the base price of the guarantee service product based on the product cost of the guarantee service product includes: Obtaining the fixed costs and variable costs constituting the product cost of the guarantee service product, as well as the expected sales volume and target profit margin of the guarantee service product; Calculate the average variable cost and fixed allocated cost per unit of the guarantee service product based on the fixed cost, the variable cost, and the expected sales volume; The average variable cost per unit is marked up based on the target profit margin, and the average variable cost per unit and the fixed allocated cost after the markup are used as the base price of each of the guarantee service products.

3. The dynamic pricing method according to claim 1, wherein: The step of determining the price adjustment trend of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period includes: Determining the demand type of the guarantee service product based on price changes and sales volume changes of the guarantee service product during a historical observation window; Based on the demand type, a price adjustment trend of the security service product is determined.

4. The dynamic pricing method according to claim 3, wherein: The step of determining the demand type of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period includes: If the price change of the guarantee service product during the historical observation window is greater than the sales change, the demand type of the guarantee service product is determined to be rigid demand; If the price change of the guarantee service product during the historical observation window period is less than or equal to the sales volume change, then the demand type of the guarantee service product is determined to be elastic demand.

5. The dynamic pricing method according to claim 4, wherein: The step of determining the price adjustment trend of the security service product based on the demand type includes: If the demand type of the guarantee service product is rigid demand, determining that the price adjustment trend of the guarantee service product is to increase the price; If the demand type of the guarantee service product is elastic demand, it is determined that the price adjustment trend of the guarantee service product is to reduce the price.

6. The dynamic pricing method according to claim 3, wherein: The step of determining the demand type of the guarantee service product based on the price change and sales volume change of the guarantee service product during the historical observation window period further includes: Based on the price changes and sales volume changes of the guarantee service product during the historical observation window period, the demand type of the guarantee service product in the latest price adjustment cycle is predicted.

7. A dynamic pricing device, characterized in that: The dynamic pricing device is aimed at guarantee service products in the automotive aftermarket, including: A first determining module, configured to determine a base price of the guarantee service product based on the product cost of the guarantee service product; a second determining module, configured to determine a price adjustment trend of the guarantee service product based on price changes and sales volume changes of the guarantee service product during a historical observation window; The third determining module is configured to adjust the base price of the guarantee service product according to the price adjustment trend to obtain a target price of the guarantee service product.

8. A dynamic pricing device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the dynamic pricing method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the dynamic pricing method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the dynamic pricing method according to any one of claims 1 to 6 are implemented.

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