A rental method for electronic digital products

Abstract

The present application relates to digital product leasing technical field, especially relate to a kind of leasing method for electronic digital product, including, periodically statistics the quantity of product in each area, return quantity and damage quantity of leasing;Determine the fluctuation parameter for single area;Determine whether the leasing management of each area is qualified one by one;According to the leasing management determination result of each area, determine whether the various kinds in each area are scheduled, the fluctuation state of leasing and return in leasing management process is monitored, when determining that the leasing management of single area is unqualified, the product scheduling of single kind is carried out, improve the efficiency of leasing management.

Description

Technical Field

[0001] This invention relates to the field of digital product rental technology, and in particular to a rental method for electronic digital products. Background Technology

[0002] With the rapid upgrading of electronic and digital products and the increasing demand from consumers for diversified products, the electronic and digital product leasing business is booming. However, the operation of leasing businesses faces many management challenges.

[0003] Market demand varies across different regions and is constantly changing, resulting in significant fluctuations in product rental and return rates in each region. Failure to promptly and accurately grasp this fluctuation information and implement appropriate adjustments may lead to product stockpiles in some regions while demand exceeds supply in others, impacting customer satisfaction and operational efficiency.

[0004] Meanwhile, products may be damaged during the rental process, which places higher demands on product inventory management and scheduling. Traditional rental management methods often lack systematicity and real-time capabilities, making it difficult to make scientific decisions based on the actual rental situation in each region, and failing to effectively balance product supply and demand in different regions, leading to resource waste or failure to meet market demand. Therefore, a scientific and effective electronic digital product rental management method is needed to solve these problems.

[0005] Patent application publication number CN107862592A discloses a method for renting power banks, including the following steps: collecting power banks that have run out of power; detecting whether the power bank is recyclable; renting a fully charged power bank to a user or returning a power bank that has run out of power. It can be seen that the above technical solution has the following problems: it does not take into account the monitoring of the fluctuation of the rental and return status during the rental management process, and it does not take into account the product scheduling of individual types when the rental management of a single area is determined to be unqualified, which affects the efficiency of rental management. Summary of the Invention

[0006] Therefore, the present invention provides a rental method for electronic digital products to overcome the problems in the prior art that do not take into account the monitoring of fluctuations in the rental and return status during the rental management process, and do not consider product scheduling for individual types when the rental management of a single area is determined to be unqualified, thus affecting the efficiency of rental management.

[0007] To achieve the above objectives, the present invention provides a method for leasing electronic digital products, comprising:

[0008] Periodically track the number of products rented out, returned, and damaged in each region;

[0009] The fluctuation parameters for a given region are determined based on the number of leases and returns for that region.

[0010] For each region, the leasing management of each region is assessed to determine its suitability based on the fluctuation parameters of the products.

[0011] Based on the determined assessment of leasing management in each region, it will be determined whether product scheduling will be implemented for various categories within each region, including...

[0012] When the rental management of a single area is deemed unqualified, the system determines whether to mark the single area as a dispatchable area based on the integral difference of the current preset statistical period, or whether to dispatch products of a single type based on the quantity of a single type of product in the single area.

[0013] When the rental management of a single area is deemed satisfactory, the current rental management parameters will continue to be used to manage that single area.

[0014] Furthermore, the process of determining the fluctuation parameters for a region based on the number of rentals and returns for a single region includes:

[0015] A time-domain curve of the number of rentals is plotted based on the number of rentals at each time point within a preset statistical period.

[0016] A time-domain curve of the number of returns is plotted based on the number of returns at each time point within a preset statistical period.

[0017] Solve for the integral difference between the time-domain curve of the number of rented items and the time-domain curve of the number of returned items;

[0018] The fluctuation parameter is obtained by calculating the ratio of the integral difference between the previous preset statistical period and the integral difference between the current preset statistical period to the total inventory quantity of a single region.

[0019] Furthermore, the process of determining the suitability of leasing management for a single region based on the fluctuation parameters of products in that region includes:

[0020] If the fluctuation parameter is less than or equal to the first preset fluctuation parameter, the leasing management of a single area is deemed unqualified, and the single area is marked as a schedulable area based on the integral difference of the current preset statistical period.

[0021] If the fluctuation parameter is less than or equal to the second preset fluctuation parameter and greater than the first preset fluctuation parameter, then the leasing management of a single area is deemed qualified, and the current leasing management parameters will continue to be used to manage the single area.

[0022] If the fluctuation parameter is greater than the second preset fluctuation parameter, the leasing management of a single area is deemed unqualified, and the product scheduling of a single type is determined based on the quantity of a single type of product in the single area.

[0023] Furthermore, the process of determining whether to schedule products for a single category based on the quantity of a single product within a single region includes:

[0024] If the number of products exceeds the preset number of products, then products of that type will not be scheduled.

[0025] If the number of products is less than or equal to the preset number of products, the scheduling quantity for that type of product is determined based on the product floating parameter.

[0026] The scheduling quantity for a single product type is determined based on product fluctuation parameters.

[0027] Calculate the variance of the rental quantity of a single product category for each preset statistical period to obtain the product fluctuation parameter;

[0028] The number of products scheduled for a single product type is directly proportional to the product's floating parameter.

[0029] Furthermore, the process of determining whether to mark a single region as a schedulable region based on the integral difference value of the current preset statistical period includes:

[0030] If the integral difference is less than or equal to the first preset integral difference, then it is determined whether to mark a single area as a schedulable area based on the rental duration of each returned product within the preset statistical period.

[0031] If the integral difference is less than or equal to the second preset integral difference and greater than the first preset integral difference, the maximum rental duration of each product in a single area will be adjusted based on the number of damaged products.

[0032] If the integral difference is greater than the second preset integral difference, then it is determined whether to mark a single region as a schedulable region based on the current time node.

[0033] Furthermore, determining whether to mark a single region as a schedulable region based on the current time point includes:

[0034] Calculate the average number of rentals for each month in each historical year to obtain the historical rental parameters for a single month;

[0035] Plot a month-historical rental parameter curve based on the historical rental parameters for each month;

[0036] Determine the rental volume integral within the corresponding time interval of the current month in the month-historical rental parameter curve, calculate the ratio of the rental volume integral to the integral of the month-historical rental parameter curve, and obtain the time comparison parameter.

[0037] If the time comparison parameter is less than or equal to the preset time comparison parameter, then the single region is marked as a schedulable region;

[0038] If the time comparison parameter is greater than the preset time comparison parameter, the maximum rental duration of each product in a single area will be adjusted based on the number of damaged products.

[0039] Furthermore, the maximum leaseable duration for each product within a single area is adjusted based on the number of damaged items, whereby...

[0040] The reduction in the maximum leaseable duration is proportional to the number of damages.

[0041] Furthermore, the process of determining whether to mark a single area as a schedulable area based on the rental duration of each returned product within a preset statistical period includes:

[0042] Based on the rental period of the returned product, the returned product is divided into long-term lease and short-term lease.

[0043] The ratio of the number of long-term leased products to the total number of products returned within a preset statistical period is used to obtain the time zone percentage.

[0044] If the proportion of time zones is less than or equal to the preset proportion of time zones, then the single area will be marked as a schedulable area;

[0045] If the proportion of time zones is greater than the preset proportion of time zones, product procurement will be based on the average service life of each product in a single region.

[0046] Furthermore, the process of classifying returned products into long-term and short-term leases based on the lease duration includes:

[0047] If the rental period of the returned product is less than or equal to the preset rental period, the individual product will be classified as a short-term rental.

[0048] If the rental period of the returned product is longer than the preset rental period, the individual product will be classified as a long-term lease.

[0049] Furthermore, product procurement is based on the average service life of each product within a single region, where...

[0050] The quantity of products purchased is directly proportional to their average service life.

[0051] Compared with the prior art, the beneficial effect of the present invention is that it monitors the fluctuation of rental and return status during the rental management process, and when it is determined that the rental management of a single area is unqualified, it performs product scheduling for a single type, thereby improving the efficiency of rental management.

[0052] Furthermore, the fluctuation parameter reflects the net accumulation or net decrease of leased items in the system during the dynamic process of rental and return over the entire preset statistical period. The fluctuation parameter considers the distribution of rental and return behavior at different points in time, and pays more attention to the dynamic nature of the process. Through the integral difference, it can more accurately reflect the impact of rental and return behavior at different times on the overall rental status. The fluctuation parameter can more comprehensively and meticulously reflect the dynamic changes of rental business over time, so as to discover potential problems and adjust management strategies in a timely manner, thereby improving the efficiency and quality of rental management.

[0053] Furthermore, the fluctuation parameter characterizes the fluctuation of leasing. By monitoring the fluctuation parameter, timely scheduling of leasing management can be implemented when fluctuations occur. By observing the integral difference, it can be determined whether leasing management can effectively balance the rhythm of leasing and returning. When the fluctuation parameter is less than or equal to the second preset fluctuation parameter and greater than the first preset fluctuation parameter, the integral difference fluctuates within a reasonable range. At this time, leasing management can better adapt to market demand and rationally arrange the flow of goods. When the fluctuation parameter is greater than the second preset fluctuation parameter, leasing increases. At this time, the quantity of a single type of product in a single region is obtained, and product scheduling for a single type is carried out based on the product fluctuation parameter when the product quantity is low. The product fluctuation parameter characterizes the fluctuation of the leasing volume of a single type of product. By periodically statistically analyzing the number of products leased, returned, and damaged in each region, and calculating the fluctuation parameter based on this data, the fluctuation of leasing business in each region can be monitored in real time. Based on the fluctuation parameter, the leasing management qualification can be determined in a timely manner, and corresponding scheduling or management measures can be taken, realizing dynamic management of leasing business and improving the efficiency of leasing management.

[0054] Furthermore, the points difference characterizes the balance in the leasing business. When the points difference is less than or equal to the first preset points difference, the return volume is too large. In this case, it is determined whether to mark a single area as a dispatchable area based on the rental duration of each returned product within the preset statistical period. When the time zone proportion is greater than the preset time zone proportion, the data used for analysis is affected because too many long-term leased products are returned in a concentrated period. Considering that the rental data is also relatively small in this case, product procurement is carried out based on the average service life of each product in a single area to add new equipment to better meet the equipment needs of the single area. When the time zone proportion is less than or equal to the preset time zone proportion, the equipment return volume in a single area is much greater than the equipment rental volume. In this case, the single area is marked as a dispatchable area. When the score difference is less than or equal to the second preset score difference but greater than the first preset score difference, the equipment rental volume is low. In this case, the maximum rental duration of each product in a single region is adjusted based on the number of damaged units to reduce the probability of equipment damage, reduce equipment repair time, and further provide more equipment for users to choose from, thereby increasing the equipment rental volume. When the score difference is greater than the second preset score difference, it is determined whether to mark a single region as a schedulable region based on the current time node. When the time comparison parameter is less than or equal to the preset time comparison parameter, it is determined based on historical data that the current month is the off-season for a single region. In this case, the low rental volume is within the normal range, and the single region is marked as a schedulable region. When the time comparison parameter is greater than the preset time comparison parameter, it is the peak season for a single region. In this case, the rental volume is still far lower than the return volume. In this case, the maximum rental duration of each product in a single region is adjusted based on the number of damaged units to allocate limited product resources to more customers with short-term needs during peak demand periods. By adjusting rental management parameters and scheduling products according to the characteristics of different regions and changes in market demand, the efficiency of rental management is better adapted to changes in the product management process and improved. Attached Figure Description

[0055] Figure 1 This is a flowchart illustrating the steps of a rental method for electronic digital products according to an embodiment of the present invention.

[0056] Figure 2 This is a logic diagram illustrating how the leasing management of a single area is deemed qualified based on fluctuation parameters, according to an embodiment of the present invention.

[0057] Figure 3 This is a logic diagram illustrating whether to schedule products for a single product category based on the quantity of products, according to an embodiment of the present invention.

[0058] Figure 4 This is a logic decision diagram for determining whether to mark a single region as a schedulable region based on the integral difference in an embodiment of the present invention. Detailed Implementation

[0059] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0060] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0061] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0062] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0063] Please see Figure 1 , Figure 2 , Figure 3 as well as Figure 4 The diagrams shown are, respectively, a flowchart of the steps of the electronic digital product leasing method according to an embodiment of the present invention, a logic decision diagram for determining whether the leasing management of a single area is qualified based on fluctuation parameters, a logic decision diagram for determining whether to schedule a single type of product based on the number of products, and a logic decision diagram for determining whether to mark a single area as a schedulable area based on the integral difference; an embodiment of the present invention provides a leasing method for electronic digital products, including:

[0064] S1, periodically counts the number of products rented out, returned, and damaged in each region;

[0065] S2, determine the fluctuation parameters for a region based on the number of leases and returns for that region;

[0066] S3, determine the compliance of leasing management in each region based on the fluctuation parameters of products in each region;

[0067] S4, based on the determined results of the leasing management for each region, determines whether product scheduling should be carried out for each type of product within each region, including...

[0068] When the rental management of a single area is deemed unqualified, the system determines whether to mark the single area as a dispatchable area based on the integral difference of the current preset statistical period, or whether to dispatch products of a single type based on the quantity of a single type of product in the single area.

[0069] When the rental management of a single area is deemed satisfactory, the current rental management parameters will continue to be used to manage that single area.

[0070] Specifically, the number of damaged products refers to the number of returned products that require repair.

[0071] Specifically, the system monitors fluctuations in rental and return status during the rental management process. When it is determined that the rental management of a single area is substandard, product scheduling is carried out for that single category, thereby improving the efficiency of rental management.

[0072] Specifically, the process of determining fluctuation parameters for a region based on the number of rentals and returns for that region includes:

[0073] A time-domain curve of the number of rentals is plotted based on the number of rentals at each time point within a preset statistical period.

[0074] A time-domain curve of the number of returns is plotted based on the number of returns at each time point within a preset statistical period.

[0075] Solve for the integral difference between the time-domain curve of the number of rented items and the time-domain curve of the number of returned items;

[0076] The fluctuation parameter is obtained by calculating the ratio of the integral difference between the previous preset statistical period and the integral difference between the current preset statistical period to the total inventory quantity of a single region.

[0077] Specifically, the fluctuation parameter reflects the net accumulation or net decrease of leased items in the system during the dynamic process of rental and return over the entire preset statistical period. The fluctuation parameter considers the distribution of rental and return behavior at different points in time, and pays more attention to the dynamic nature of the process. Through the integral difference, it can more accurately reflect the impact of rental and return behavior at different times on the overall rental status. The fluctuation parameter can more comprehensively and meticulously reflect the dynamic changes of rental business over time, so as to discover potential problems and adjust management strategies in a timely manner, thereby improving the efficiency and quality of rental management.

[0078] Specifically, the process of determining the suitability of leasing management for a single region based on the fluctuation parameters of products in that region includes:

[0079] If the fluctuation parameter is less than or equal to the first preset fluctuation parameter, the leasing management of a single area is deemed unqualified, and the single area is marked as a schedulable area based on the integral difference of the current preset statistical period.

[0080] If the fluctuation parameter is less than or equal to the second preset fluctuation parameter and greater than the first preset fluctuation parameter, then the leasing management of a single area is deemed qualified, and the current leasing management parameters will continue to be used to manage the single area.

[0081] If the fluctuation parameter is greater than the second preset fluctuation parameter, the leasing management of a single area is deemed unqualified, and the product scheduling of a single type is determined based on the quantity of a single type of product in the single area.

[0082] Specifically, the first preset fluctuation parameter is selected within the range [-0.3, -0.2], and the second preset fluctuation parameter is selected within the range [0.2, 0.3].

[0083] Specifically, the fluctuation parameter characterizes the fluctuation of leasing activity. By monitoring this parameter, timely adjustments to leasing management can be made when fluctuations occur. The effectiveness of leasing management in balancing the rental and return rhythms is assessed by observing the integral difference. When the fluctuation parameter is less than or equal to a second preset fluctuation parameter but greater than a first preset fluctuation parameter, the integral difference fluctuates within a reasonable range, indicating that leasing management can adapt well to market demand and rationally arrange the flow of goods. When the fluctuation parameter exceeds the second preset fluctuation parameter, rentals increase. In this case, the quantity of a single product type within a single region is obtained, and product scheduling is performed on a single product type based on the product fluctuation parameter when the quantity is low. The product fluctuation parameter characterizes the fluctuation of rental volume for a single product type. By periodically statistically analyzing the rental, return, and damage quantities of products in each region, and calculating the fluctuation parameter based on this data, the fluctuation of leasing business in each region can be monitored in real time. By promptly determining the suitability of leasing management based on the fluctuation parameter and taking corresponding scheduling or management measures, dynamic management of leasing business is achieved, improving the efficiency of leasing management.

[0084] Specifically, the process of determining whether to schedule products of a single type based on the quantity of a single type of product within a single region includes:

[0085] If the number of products exceeds the preset number of products, then products of that type will not be scheduled.

[0086] If the number of products is less than or equal to the preset number of products, the scheduling quantity for that type of product is determined based on the product floating parameter.

[0087] The scheduling quantity for a single product type is determined based on product fluctuation parameters.

[0088] Calculate the variance of the rental quantity of a single product category for each preset statistical period to obtain the product fluctuation parameter;

[0089] The number of products scheduled for a single product type is directly proportional to the product's floating parameter.

[0090] Specifically, the preset product quantity is 0.2Ni, where Ni is the maximum product quantity of a single type in a single region in historical data, i = 1, 2, 3, ..., n, and n is the number of types in a single region.

[0091] Specifically, the corresponding number of single-type products can be retrieved from the schedulable area and transferred to a single area. Based on the distance between each schedulable area and the single area, the products can be scheduled with the nearest schedulable area.

[0092] In this embodiment, optionally,

[0093] The product floating parameter is compared with the first preset product floating parameter and the second preset product floating parameter;

[0094] If the product floating parameter is less than or equal to the first preset product floating parameter, the scheduling quantity of a single product type will be adjusted to 1.05 times the initial scheduling quantity.

[0095] If the product floating parameter is less than or equal to the second preset product floating parameter and greater than the first preset product floating parameter, then the scheduling quantity of a single type of product will be adjusted to 1.12 times the initial scheduling quantity.

[0096] If the product floating parameter is greater than the second preset product floating parameter, the scheduling quantity of a single product type will be adjusted to 1.24 times the initial scheduling quantity.

[0097] The first preset product floating parameter is set to 23, and the second preset product floating parameter is set to 28.

[0098] Specifically, the process of determining whether to mark a single region as a schedulable region based on the integral difference value of the current preset statistical period includes:

[0099] If the integral difference is less than or equal to the first preset integral difference, then it is determined whether to mark a single area as a schedulable area based on the rental duration of each returned product within the preset statistical period.

[0100] If the integral difference is less than or equal to the second preset integral difference and greater than the first preset integral difference, the maximum rental duration of each product in a single area will be adjusted based on the number of damaged products.

[0101] If the integral difference is greater than the second preset integral difference, then it is determined whether to mark a single region as a schedulable region based on the current time node.

[0102] Specifically, the first preset integral difference is selected within the range [-0.51M0, -0.42M0], and the second preset integral difference is selected within the range [-0.32, -0.22], where M0 is the total inventory quantity in a single region.

[0103] Specifically, determining whether to mark a single region as a schedulable region based on the current time point includes:

[0104] Calculate the average number of rentals for each month in each historical year to obtain the historical rental parameters for a single month;

[0105] Plot a month-historical rental parameter curve based on the historical rental parameters for each month;

[0106] Determine the rental volume integral within the corresponding time interval of the current month in the month-historical rental parameter curve, calculate the ratio of the rental volume integral to the integral of the month-historical rental parameter curve, and obtain the time comparison parameter.

[0107] If the time comparison parameter is less than or equal to the preset time comparison parameter, then the single region is marked as a schedulable region;

[0108] If the time comparison parameter is greater than the preset time comparison parameter, the maximum rental duration of each product in a single area will be adjusted based on the number of damaged products.

[0109] Specifically, the preset time comparison parameter is selected within the range [0.05, 0.07].

[0110] Specifically, the maximum leaseable duration for each product within a single area is adjusted based on the number of damaged items.

[0111] The reduction in the maximum leaseable duration is proportional to the number of damages.

[0112] In this embodiment, optionally,

[0113] Compare the number of damaged items with the first preset number of damaged items and the second preset number of damaged items;

[0114] If the number of damaged items is less than or equal to the first preset number of damaged items, the maximum rental period will be adjusted to 0.93 times the initial maximum rental period.

[0115] If the number of damaged items is less than or equal to the second preset number of damaged items but greater than the first preset number of damaged items, the maximum rental period will be adjusted to 0.87 times the initial maximum rental period.

[0116] If the number of damaged items exceeds the second preset number of damaged items, the maximum rental period will be adjusted to 0.72 times the initial maximum rental period.

[0117] The first preset damage quantity is 0.15G0, and the second preset damage quantity is 0.34G0, where G0 is the total number of returns within the current preset statistical period.

[0118] Specifically, the process of determining whether to mark a single area as a schedulable area based on the rental duration of each returned product within a preset statistical period includes:

[0119] Based on the rental period of the returned product, the returned product is divided into long-term lease and short-term lease.

[0120] The ratio of the number of long-term leased products to the total number of products returned within a preset statistical period is used to obtain the time zone percentage.

[0121] If the proportion of time zones is less than or equal to the preset proportion of time zones, then the single area will be marked as a schedulable area;

[0122] If the proportion of time zones is greater than the preset proportion of time zones, product procurement will be based on the average service life of each product in a single region.

[0123] Specifically, the preset time zone percentage is selected within the range [0.33, 0.48].

[0124] Specifically, the process of classifying returned products into long-term and short-term leases based on the lease duration includes:

[0125] If the rental period of the returned product is less than or equal to the preset rental period, the individual product will be classified as a short-term rental.

[0126] If the rental period of the returned product is longer than the preset rental period, the individual product will be classified as a long-term lease.

[0127] Specifically, the preset rental duration is selected within the range [1.5t0, 3t0], where t0 is the average historical rental duration of each product in a single region.

[0128] Specifically, the points difference represents the balance in the leasing business. When the points difference is less than or equal to the first preset points difference, the return volume is too large. In this case, it is determined whether to mark a single area as a dispatchable area based on the rental duration of each returned product within the preset statistical period. When the time zone proportion is greater than the preset time zone proportion, the data used for analysis is affected because too many long-term leased products are returned in a concentrated period. Considering that the rental data is also relatively small in this case, product procurement is carried out based on the average service life of each product in a single area to add new equipment to better meet the equipment needs of the single area. When the time zone proportion is less than or equal to the preset time zone proportion, the equipment return volume in a single area is much greater than the equipment rental volume. In this case, the single area is marked as a dispatchable area. When the score difference is less than or equal to the second preset score difference but greater than the first preset score difference, the equipment rental volume is low. In this case, the maximum rental duration of each product in a single region is adjusted based on the number of damaged units to reduce the probability of equipment damage, reduce equipment repair time, and further provide more equipment for users to choose from, thereby increasing the equipment rental volume. When the score difference is greater than the second preset score difference, it is determined whether to mark a single region as a schedulable region based on the current time node. When the time comparison parameter is less than or equal to the preset time comparison parameter, it is determined based on historical data that the current month is the off-season for a single region. In this case, the low rental volume is within the normal range, and the single region is marked as a schedulable region. When the time comparison parameter is greater than the preset time comparison parameter, it is the peak season for a single region. In this case, the rental volume is still far lower than the return volume. In this case, the maximum rental duration of each product in a single region is adjusted based on the number of damaged units to allocate limited product resources to more customers with short-term needs during peak demand periods. By adjusting rental management parameters and scheduling products according to the characteristics of different regions and changes in market demand, the efficiency of rental management is better adapted to changes in the product management process and improved.

[0129] Specifically, product procurement is based on the average service life of each product within a single region.

[0130] The quantity of products purchased is directly proportional to their average service life.

[0131] In this embodiment, optionally,

[0132] The average service life is compared with the first preset service life and the second preset service life;

[0133] If the average service life is less than or equal to the first preset service life, the purchase quantity will be adjusted to 1.1 times the initial quantity;

[0134] If the average service life is less than or equal to the second preset service life but greater than the first preset service life, the purchase quantity will be adjusted to 1.17 times the initial quantity.

[0135] If the average service life is greater than the second preset service life, the purchase quantity will be adjusted to 1.25 times the initial quantity;

[0136] The first preset term is 5 years, and the second preset term is 8 years.

[0137] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0138] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for renting electronic digital products, characterized in that, include: Periodically compile statistics on the number of products rented out, returned, and damaged in each region; Fluctuation parameters for a given region are determined based on the number of rentals and returns for that region, including: A time-domain curve of the number of rentals is plotted based on the number of rentals at each time point within a preset statistical period. A time-domain curve of the number of returns is plotted based on the number of returns at each time point within a preset statistical period. Solve for the integral difference between the time-domain curve of the number of rented items and the time-domain curve of the number of returned items; The fluctuation parameter is obtained by calculating the ratio of the integral difference between the previous preset statistical period and the integral difference between the current preset statistical period to the total inventory quantity of a single region. For each region, the leasing management of each region is assessed to determine its suitability based on the fluctuation parameters of the products. Based on the determined assessment of leasing management in each region, it will be determined whether product relocation will be implemented for various categories within each region, including... When the rental management of a single area is deemed unqualified, the system determines whether to mark the single area as a dispatchable area based on the integral difference of the current preset statistical period, or whether to dispatch products of a single type based on the quantity of a single type of product in the single area. When the rental management of a single area is deemed satisfactory, the current rental management parameters will continue to be used to manage that single area.

2. The rental method for electronic digital products according to claim 1, characterized in that, The process of determining the suitability of leasing management for a single region based on product fluctuation parameters includes: If the fluctuation parameter is less than or equal to the first preset fluctuation parameter, the leasing management of a single area is deemed unqualified, and the single area is marked as a schedulable area based on the integral difference of the current preset statistical period. If the fluctuation parameter is less than or equal to the second preset fluctuation parameter and greater than the first preset fluctuation parameter, then the leasing management of a single area is deemed qualified, and the current leasing management parameters will continue to be used to manage the single area. If the fluctuation parameter is greater than the second preset fluctuation parameter, the leasing management of a single area is deemed unqualified, and the product scheduling of a single type is determined based on the quantity of a single type of product in the single area.

3. The rental method for electronic digital products according to claim 2, characterized in that, The process of determining whether to schedule products of a single type based on the quantity of a single type of product within a single region includes: If the number of products exceeds the preset number of products, then products of that type will not be scheduled. If the number of products is less than or equal to the preset number of products, the scheduling quantity for that type of product is determined based on the product floating parameter. The scheduling quantity for a single product type is determined based on product fluctuation parameters. Calculate the variance of the rental quantity of a single product category for each preset statistical period to obtain the product fluctuation parameter; The number of products scheduled for a single product type is directly proportional to the product's floating parameter.

4. The rental method for electronic digital products according to claim 3, characterized in that, The process of determining whether to mark a single region as a schedulable region based on the integral difference value of the current preset statistical period includes: If the integral difference is less than or equal to the first preset integral difference, then it is determined whether to mark a single area as a schedulable area based on the rental duration of each returned product within the preset statistical period. If the integral difference is less than or equal to the second preset integral difference and greater than the first preset integral difference, the maximum rental duration of each product in a single area will be adjusted based on the number of damaged products. If the integral difference is greater than the second preset integral difference, then it is determined whether to mark a single region as a schedulable region based on the current time node.

5. The rental method for electronic digital products according to claim 4, characterized in that, Determining whether to mark a single region as a schedulable region based on the current time point includes: Calculate the average number of rentals for each month in each historical year to obtain the historical rental parameters for a single month; Plot a month-historical rental parameter curve based on the historical rental parameters for each month; Determine the rental volume integral within the corresponding time interval of the current month in the month-historical rental parameter curve, calculate the ratio of the rental volume integral to the integral of the month-historical rental parameter curve, and obtain the time comparison parameter. If the time comparison parameter is less than or equal to the preset time comparison parameter, then the single region is marked as a schedulable region; If the time comparison parameter is greater than the preset time comparison parameter, the maximum rental duration of each product in a single area will be adjusted based on the number of damaged products.

6. The rental method for electronic digital products according to claim 5, characterized in that, The maximum leaseable duration for each product within a single area is adjusted based on the number of damaged items. The reduction in the maximum leaseable duration is proportional to the number of damages.

7. The rental method for electronic digital products according to claim 6, characterized in that, The process of determining whether to mark a single area as a schedulable area based on the rental duration of each returned product within a preset statistical period includes: Based on the rental period of the returned product, the returned product is divided into long-term lease and short-term lease. The ratio of the number of long-term leased products to the total number of products returned within a preset statistical period is used to obtain the time zone percentage. If the proportion of time zones is less than or equal to the preset proportion of time zones, then the single area will be marked as a schedulable area; If the proportion of time zones is greater than the preset proportion of time zones, product procurement will be based on the average service life of each product in a single region.

8. The rental method for electronic digital products according to claim 7, characterized in that, The process of classifying returned products into long-term and short-term leases based on the lease duration includes: If the rental period of the returned product is less than or equal to the preset rental period, the individual product will be classified as a short-term rental. If the rental period of the returned product is longer than the preset rental period, the individual product will be classified as a long-term lease.

9. The rental method for electronic digital products according to claim 8, characterized in that, Product procurement is based on the average service life of products within a single region, where... The quantity of products purchased is directly proportional to their average service life.

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