A method for managing subscription services for home care products based on consumption habits

Abstract

The present invention discloses a method for managing a subscription service for a home care product based on consumption habits, which relates to the technical field of subscription service management, obtains the device association index and subscription price of each virtual care product service, pre-processes the device association index and subscription price, calculates the prominence factor of the virtual care product service, substitutes the effective factor and the prominence factor into a fusion algorithm for analysis, outputs a reminder index for the virtual care product service, sorts all virtual care product services according to the reminder index, generates a reminder list, sends the reminder list to a user terminal, and automatically generates a management strategy for the virtual care product service based on the reminder index. After the user authorizes, the management system obtains all virtual care product services subscribed by the user through the user's payment software, and generates a management strategy for the virtual care product in combination with the importance of the virtual care product service and historical usage data, effectively reducing the ineffective expenditure of the family.

Description

Technical Field

[0001] The present invention relates to the technical field of subscription service management, and in particular to a method for managing subscription services for home care products based on consumption habits. Background Art

[0002] With the accelerated pace of modern life and the growing demand of consumers for convenient services, subscription services are becoming a popular model in various product and service fields. As a necessity in daily life, the consumption demand for home care products has a certain regularity and predictability. Therefore, a subscription service management system based on consumption habits has emerged, providing consumers and service providers with an efficient and personalized solution.

[0003] The prior art has the following deficiencies:

[0004] For families who subscribe to multiple types of virtual care products, the virtual care products are usually automatically deducted through payment software on a monthly or annual basis. However, due to the large number of virtual care products subscribed, when the actual use demand of some virtual care products is small and the user forgets to cancel the subscription to such virtual care product services, the automatic deduction of product services will cause resources to be wasted on unnecessary subscriptions, thereby increasing the family's ineffective expenditures;

[0005] Based on this, the present invention proposes a household care product subscription service management method based on consumption habits. After the user's authorization, all virtual care product services subscribed by the user are obtained through the user's payment software, and combined with the importance of the virtual care product services and historical usage data, a management strategy is generated for the virtual care product, effectively reducing the family's ineffective expenditure. Summary of the invention

[0006] The purpose of the present invention is to provide a household care product subscription service management method based on consumption habits to address the deficiencies in the background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a method for managing a subscription service for home care products based on consumption habits, the management method comprising the following steps:

[0008] The management system obtains user authorization, collects all virtual care product services ordered by the user based on the payment software on the user's terminal device, and obtains historical usage data of all virtual care product services;

[0009] Substitute historical usage data into the data analysis model, the data analysis model outputs an effective factor for each virtual care product service, obtains the device association index and subscription price of each virtual care product service, and calculates the prominence factor of the virtual care product service after preprocessing the device association index and subscription price;

[0010] The effective factors and the highlight factors are substituted into the fusion algorithm for analysis, and a reminder index is output for the virtual care product service. All virtual care product services are sorted according to the reminder index, a reminder list is generated, and a management strategy for the virtual care product service is automatically generated based on the reminder index. The reminder list and the management strategy are sent to the user terminal.

[0011] In a preferred embodiment, the data analysis model outputs an effectiveness factor for each virtual care product service, including the following steps:

[0012] Obtain the historical usage data of all virtual care products and services. The historical usage data includes the usage trend index, physiological improvement index, and service matching index. Substitute the usage trend index, physiological improvement index, and service matching index into the data analysis model. The data analysis model outputs an effective factor for each virtual care product and service. The model expression is:

[0013] , where is the effective factor, is the physiological improvement index, is the service matching index, To use the trend index, , , are the adjustment coefficients of physiological improvement index, service matching index and usage trend index, respectively, and , , Both are greater than 0.

[0014] In a preferred embodiment, calculating the highlight factor of the virtual care product service includes the following steps:

[0015] The device association index and subscription price of each virtual care product service are obtained, and the device association index and subscription price are normalized so that the value range of the processed device association index and subscription price is mapped to [0,1], and the normalized value of the device association index and the normalized value of the subscription price are obtained. The highlight factor of the virtual care product service is obtained by subtracting the normalized value of the device association index from the normalized value of the subscription price.

[0016] In a preferred embodiment, the effective factor and the highlight factor are substituted into the fusion algorithm for analysis to output a reminder index for the virtual care product service, including the following steps:

[0017] Substitute the effective factors and prominent factors of virtual nursing product services into the fusion algorithm for analysis, and output the reminder index for the virtual nursing product services. The algorithm expression is: , where is the reminder index, is the effective factor, is the highlight factor;

[0018] All virtual care product services in the home are sorted from large to small according to the reminder index, and a reminder list is generated, which is sent to the user terminal.

[0019] In a preferred embodiment, automatically generating a management strategy for a virtual care product service based on a reminder index includes the following steps:

[0020] The obtained reminder index is compared with the preset management threshold. The management threshold is used to determine whether renewal is needed. If the reminder index of the virtual care product service is greater than the management threshold, the generated management policy is: automatically stop renewing the virtual care product service. If the reminder index of the virtual care product service is less than or equal to the management threshold, no management policy is generated for the virtual care product service.

[0021] In a preferred embodiment, the calculation expression of the physiological improvement index is: , where is the physiological improvement index, Indicates The indicator is The month-on-month improvement rate of the cycle, Indicates user The degree of deviation of each indicator from the regional average. represents the time weight, is the total number of monitoring cycles, Indicates the number of indicators that the user needs to improve.

[0022] In a preferred embodiment, the calculation expression of the trend index is:

[0023] , where To use the trend index, is the total number of monitoring cycles, Indicates that virtual care product services are The total number of times the cycle is used, Indicates that virtual care product services are The total number of times the cycle is used, Represents the time weight.

[0024] In a preferred implementation, the calculation expression of the service matching index is: , where Indicates the first Function in cycle The utilization rate, Indicates The weight of the function, Indicates The time difference between the last time a function was used and the current time. is the attenuation coefficient, Represents the number of features in the virtual care product service.

[0025] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0026] The present invention outputs an effective factor for each virtual care product service through a data analysis model, obtains the device association index and subscription price of each virtual care product service, calculates the highlight factor of the virtual care product service after preprocessing the device association index and subscription price, substitutes the effective factor and the highlight factor into the fusion algorithm for analysis, outputs a reminder index for the virtual care product service, sorts all virtual care product services according to the reminder index, generates a reminder list, sends the reminder list to the user terminal, and automatically generates a management strategy for the virtual care product service based on the reminder index. After the user authorizes, the management system obtains all virtual care product services subscribed by the user through the user's payment software, and generates a management strategy for the virtual care product in combination with the importance of the virtual care product service and the historical usage data, effectively reducing the family's ineffective expenditure. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0028] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Example 1: Please refer to Figure 1 As shown, the household care product subscription service management method based on consumption habits described in this embodiment includes the following steps:

[0031] The management system obtains user authorization, collects all virtual care product services ordered by the user based on the payment software on the user's terminal device, obtains historical usage data of all virtual care product services, substitutes the historical usage data into the data analysis model, and the data analysis model outputs an effective factor for each virtual care product service, obtains the device association index and subscription price of each virtual care product service, calculates the highlight factor of the virtual care product service after preprocessing the device association index and subscription price, substitutes the effective factor and the highlight factor into the fusion algorithm for analysis, outputs a reminder index for the virtual care product service, sorts all virtual care product services according to the reminder index, generates a reminder list, and automatically generates a management strategy for the virtual care product service based on the reminder index, and sends the reminder list to the user terminal.

[0032] This application outputs an effective factor for each virtual care product service through a data analysis model, obtains the device association index and subscription price of each virtual care product service, calculates the highlight factor of the virtual care product service after preprocessing the device association index and subscription price, substitutes the effective factor and the highlight factor into the fusion algorithm for analysis, outputs a reminder index for the virtual care product service, sorts all virtual care product services according to the reminder index, generates a reminder list, sends the reminder list to the user terminal, and automatically generates a management strategy for the virtual care product service based on the reminder index. After the user authorizes, the management system obtains all virtual care product services subscribed by the user through the user's payment software, and generates a management strategy for the virtual care product based on the importance of the virtual care product service and the historical usage data, effectively reducing the family's ineffective expenditures.

[0033] The management system obtains user authorization and collects all virtual care product services ordered by the user based on the payment software on the user's terminal device, including the following steps:

[0034] Obtain user authorization through various methods, such as clicking a confirmation button, filling out an authorization form, etc.

[0035] Provides single authorization and full authorization options, allowing users to selectively authorize the collection of partial service information.

[0036] Comply with relevant laws and regulations (such as GDPR, CCPA) and allow users to withdraw authorization at any time.

[0037] Use the open API interface of payment software (such as Alipay, WeChat Pay, PayPal, etc.) to obtain subscription information.

[0038] Ensure that the payment software supports relevant service information queries and obtain permission from the payment software provider.

[0039] Leverage the OAuth protocol or similar mechanisms to ensure secure user authentication.

[0040] After the user's authorization, data is collected from the payment software in an encrypted manner to prevent interception.

[0041] Collect a list of virtual care product services that the user has subscribed to, including:

[0042] Service name;

[0043] Service providers;

[0044] Subscription amount;

[0045] Subscription period (e.g. monthly payment, annual payment);

[0046] Date of next deduction;

[0047] Ensure that the collected data is accurate and complete, and avoid duplicate collection.

[0048] Detect abnormal data (such as invalid subscriptions, canceled subscriptions, etc.).

[0049] Set up a regular update mechanism (such as monthly synchronization) to reflect real-time changes in user subscriptions.

[0050] Obtain historical usage data of all virtual care product services, substitute the historical usage data into a data analysis model, and the data analysis model outputs an effective factor for each virtual care product service, including the following steps:

[0051] Obtain the historical usage data of all virtual care products and services. The historical usage data includes the usage trend index, physiological improvement index, and service matching index. Substitute the usage trend index, physiological improvement index, and service matching index into the data analysis model. The data analysis model outputs an effective factor for each virtual care product and service. The model expression is:

[0052] , where is the effective factor, is the physiological improvement index, is the service matching index, To use the trend index, , , are the adjustment coefficients of physiological improvement index, service matching index and usage trend index, respectively, and , , Both are greater than 0.

[0053] The calculation expression using the trend index is: , where To use the trend index, is the total number of monitoring cycles, Indicates that virtual care product services are The total number of uses in a period (e.g. number of logins per week, number of function calls), Indicates that virtual care product services are The total number of uses in a period (e.g. number of logins per week, number of function calls), Indicates time weight, usually recent data has a higher weight.

[0054] The calculation expression of physiological improvement index is: , where is the physiological improvement index, Indicates The indicator is The month-on-month improvement rate of the cycle, Indicates user The degree of deviation of each indicator from the regional average. represents the time weight, and , usually recent data has a higher weight, is the total number of monitoring cycles, Indicates the number of indicators that the user needs to improve.

[0055] The calculation expression of service matching index is: , where Indicates the first Function in cycle The utilization rate, Indicates The weight of each feature (as set by the virtual care product service development strategy), and , Indicates The time difference between the last time a function was used and the current time. is the attenuation coefficient, and .

[0056] 1) Relationship between Usage Trend Index (UTI) and Renewal

[0057] Relationship explanation: The larger the UTI, the less active the user is in using the virtual care product, or the usage behavior is unevenly distributed (such as some functions are not used at all), and the lower the necessity for renewal.

[0058] Logical interpretation:

[0059] Frequency of use decreased:

[0060] A significant drop in user usage may be because the product's appeal has weakened or users believe that the functionality is no longer applicable.

[0061] For example: In the past, users used the app an average of 10 times per month, but in the past three months, they only used it an average of 2 times per month, indicating a significant drop in activity and a reduced need for renewal.

[0062] Uneven distribution of feature usage:

[0063] If users only use a single function and do not use other functions at all, it means that the overall value of the product is limited to the user.

[0064] Example: The health monitoring function is frequently used, but the psychological counseling and exercise guidance modules are not used at all, indicating that the product cannot meet comprehensive needs.

[0065] 2) Relationship between Physiological Improvement Index (PII) and Renewal

[0066] Relationship description: The smaller the PII, the less significant the improvement in the user's health indicators after using the product, or even the worsening. In this case, there is less need for renewal.

[0067] Logical interpretation:

[0068] Insufficient health improvement:

[0069] If users cannot achieve significant improvements in key health indicators (such as blood pressure, sleep, weight, etc.) through the service, their willingness to renew will decrease.

[0070] Example: A user has been tracking sleep through a virtual care product for the past 6 months, but his sleep quality score has only improved by 1%, which is not a significant effect. He may choose not to renew his subscription.

[0071] Deterioration of indicators:

[0072] If after using the service, the values ​​of certain user indicators deteriorate (such as weight gain, increased heart rate fluctuations), not only will the user not renew the subscription, but they may even complain.

[0073] Example: After using the psychological counseling function, the user's stress index (StressLevel) rises from 60 to 80 (out of 100), indicating that the service has a negative impact.

[0074] 3) The relationship between the Service Match Index (SMI) and renewal

[0075] Relationship explanation: The smaller the SMI, the less compatible the product features are with user needs, and the less necessary it is to renew the subscription.

[0076] Logical interpretation:

[0077] Insufficient functional coverage:

[0078] Users’ key needs are not met by existing services, resulting in a lack of motivation to renew.

[0079] Example: The user wants to obtain a personalized exercise plan, but the product only provides general exercise recommendation plans, with low service fit and small SMI value.

[0080] User interest changes:

[0081] If the user's health needs change and the service functions are not adjusted in time, the matching index will also decrease.

[0082] Example: Users shift their focus from weight loss to cardiovascular health, while the product still focuses on the weight management module, and the matching index declines.

[0083] Insufficient user experience:

[0084] If users have a poor experience when using a service, such as complex functions or cumbersome operations, the matching degree will be directly reduced.

[0085] Example: The health data recording function requires manual input of a large amount of data, is complex to operate, and has low user ratings.

[0086] Usage Trend Index (UTI):

[0087] Trend: The larger the UTI, the lower the usage activity, and the lower the necessity of service renewal.

[0088] Cause: Low usage frequency or single-function usage indicates a mismatch between users and the actual needs of the service.

[0089] Physiological Improvement Index (PII):

[0090] Trend: The smaller the PII → the less significant the health improvement effect → the lower the necessity of service renewal.

[0091] Reason: If the service does not bring actual health improvements to users, users will lack the motivation to renew their subscription.

[0092] Service Match Index (SMI):

[0093] Trend: The smaller the SMI, the less fit between the functions and user needs, and the lower the necessity of service renewal.

[0094] Reason: Users lack interest in services that do not meet their needs and may give up renewing their subscriptions even at low prices.

[0095] Obtaining a device association index and a subscription price for each virtual care product service, and after preprocessing the device association index and the subscription price, calculating a highlight factor for the virtual care product service includes the following steps:

[0096] Obtaining the device association index and subscription price of each virtual care product service, normalizing the device association index and subscription price so that the value range of the processed device association index and subscription price is mapped to [0,1], obtaining the normalized value of the device association index and the normalized value of the subscription price, and subtracting the normalized value of the device association index from the normalized value of the subscription price to obtain the prominence factor of the virtual care product service;

[0097] Among them, the device association index is equal to the number of nursing devices in the home associated with the virtual nursing product service.

[0098] The subscription price is the fee that users pay to obtain virtual care product services, and may vary depending on the type of service, usage time, and regional differences.

[0099] How to obtain:

[0100] Get data from payment platforms:

[0101] Data source: payment software interface after user authorization.

[0102] Data content: Specific fees for subscription services (including basic fees and dynamic additional fees, such as value-added fees based on function usage).

[0103] Payment cycle (monthly, annual, etc.).

[0104] Are there any discounts or promotions?

[0105] Obtain from the service provider:

[0106] Directly obtain pricing information for user subscriptions by connecting to the API interface of the provider of virtual care product services.

[0107] Tiered subscription model: Basic Edition, Professional Edition, etc.

[0108] Regional pricing differences: Are there significant differences in pricing between regions?

[0109] Through user billing information: User billing records are an important way to directly obtain subscription prices. After the user authorizes, extract the subscription details in the historical bill to confirm the specific price.

[0110] Dynamic pricing adjustment: The price of some services may be adjusted based on usage behavior (e.g., billing based on service usage). You can obtain accurate prices by dynamically querying service usage statistics and billing rules.

[0111] The device association index indicates the total number of care devices associated with a virtual care product service in a home. For example, if a service supports smart watches, blood pressure monitors, and smart mattresses, the association index is 3.

[0112] Use the service provider's device support list to confirm the types of devices supported by the virtual care product service.

[0113] Query device support and determine whether each device is in the user's home device list.

[0114] Get a list of care devices in the user's home, such as smart watches, smart blood pressure monitors, weight scales, smart air purifiers, etc.

[0115] The device list can be obtained through manual user input or from smart home management platforms (such as Apple HomeKit, Google Home).

[0116] The type and brand of equipment must be identified to ensure technical compatibility with the virtual care product service.

[0117] Retrieve historical device binding records for a virtual care product service, including which devices have ever interacted with or activated the service.

[0118] Extract the device ID and binding time from the service provider's background log and calculate the number of currently activated devices.

[0119] The total number of all bound devices is counted as the device association index.

[0120] Check whether supported device information is recorded when users subscribe to virtual care services (for example, some payment platforms will mark the device model).

[0121] If the subscription specifies device restrictions (such as a maximum of 3 devices), this can be confirmed in the payment agreement.

[0122] Substitute the effective factors and the prominent factors into the fusion algorithm for analysis, output the reminder index for the virtual care product service, sort all the virtual care product services according to the reminder index, generate a reminder list, and send the reminder list to the user terminal, including the following steps:

[0123] Substitute the effective factors and prominent factors of virtual nursing product services into the fusion algorithm for analysis, and output the reminder index for the virtual nursing product services. The algorithm expression is: , where is the reminder index, is the effective factor, is the highlight factor;

[0124] The larger the value of the effectiveness factor of the virtual care product service, the less likely it is that the virtual care product service should be renewed. In this case, the reminder index is obtained by correcting the effectiveness factor through the highlighting factor, so that when the virtual care product service should not be renewed, the virtual care product service can be more highlighted (the associated device index highlights the importance of the virtual care product service, and the subscription price highlights the selectivity of the virtual care product service. Generally speaking, when there are two virtual care product services that should not be renewed, the virtual care product service with a higher subscription price is preferred not to be renewed to reduce the burden on the family);

[0125] All virtual care product services in the home are sorted from large to small according to the reminder index to generate a reminder list, which is sent to the user terminal. The higher the ranking of the virtual care product service in the reminder list, the less likely it is that the virtual care product service should be renewed.

[0126] Automatically generate a management strategy for virtual care product services based on the reminder index, including the following steps:

[0127] The larger the reminder index of the virtual care product service, the less likely it is that the virtual care product service should be renewed. The obtained reminder index is compared with the preset management threshold. The management threshold is used to determine whether renewal is needed. If the reminder index of the virtual care product service is greater than the management threshold, the generated management policy is: automatically stop renewing the virtual care product service. If the reminder index of the virtual care product service is less than or equal to the management threshold, no management policy is generated for the virtual care product service.

[0128] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0129] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0130] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0131] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0132] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for managing a home care product subscription service based on consumer habits, characterized in that: The management method comprises the following steps: The management system obtains user authorization, collects all virtual care product services ordered by the user based on the payment software on the user's terminal device, and obtains historical usage data of all virtual care product services; Substitute historical usage data into the data analysis model, the data analysis model outputs an effective factor for each virtual care product service, obtains the device association index and subscription price of each virtual care product service, and calculates the prominence factor of the virtual care product service after preprocessing the device association index and subscription price; Substitute the effective factors and the prominent factors into the fusion algorithm for analysis, output the reminder index for the virtual care product service, sort all the virtual care product services according to the reminder index, generate a reminder list, and automatically generate a management strategy for the virtual care product service based on the reminder index. The reminder list and the management strategy are sent to the user terminal; The data analysis model outputs an effective factor for each virtual care product service, including the following steps: Obtain the historical usage data of all virtual care products and services. The historical usage data includes the usage trend index, physiological improvement index, and service matching index. Substitute the usage trend index, physiological improvement index, and service matching index into the data analysis model. The data analysis model outputs an effective factor for each virtual care product and service. The model expression is: , where is the effective factor, is the physiological improvement index, is the service matching index, To use the trend index, , , are the adjustment coefficients of physiological improvement index, service matching index and usage trend index, respectively, and , , All are greater than 0; Calculating the salience factor of a virtual care product service includes the following steps: Obtaining the device association index and subscription price of each virtual care product service, normalizing the device association index and subscription price so that the value range of the processed device association index and subscription price is mapped to [0,1], obtaining the normalized value of the device association index and the normalized value of the subscription price, and subtracting the normalized value of the device association index from the normalized value of the subscription price to obtain the prominence factor of the virtual care product service; Substituting the effective factors and the prominent factors into the fusion algorithm for analysis, outputting the reminder index for the virtual care product service includes the following steps: Substitute the effective factors and prominent factors of virtual nursing product services into the fusion algorithm for analysis, and output the reminder index for the virtual nursing product services. The algorithm expression is: , where is the reminder index, is the effective factor, is the highlight factor; All virtual care product services in the home are sorted from large to small according to the reminder index, and a reminder list is generated, which is sent to the user terminal.

2. The method for managing a home care product subscription service based on consumption habits according to claim 1, characterized in that: Automatically generate a management strategy for virtual care product services based on the reminder index, including the following steps: The obtained reminder index is compared with the preset management threshold. The management threshold is used to determine whether renewal is needed. If the reminder index of the virtual care product service is greater than the management threshold, the generated management policy is: automatically stop renewing the virtual care product service. If the reminder index of the virtual care product service is less than or equal to the management threshold, no management policy is generated for the virtual care product service.

3. The method for managing a home care product subscription service based on consumption habits according to claim 2, characterized in that: The calculation expression of the physiological improvement index is: , where is the physiological improvement index, Indicates The indicator is The month-on-month improvement rate of the cycle, Indicates user The degree of deviation of each indicator from the regional average. represents the time weight, is the total number of monitoring cycles, Indicates the number of indicators that the user needs to improve.

4. The method for managing a home care product subscription service based on consumption habits according to claim 3, characterized in that: The calculation expression using the trend index is: , where To use the trend index, is the total number of monitoring cycles, Indicates that virtual care product services are The total number of times the cycle is used, Indicates that virtual care product services are The total number of times the cycle is used, Represents the time weight.

5. The method for managing a home care product subscription service based on consumption habits according to claim 4, characterized in that: The calculation expression of the service matching index is: , where Indicates the first Function in cycle The utilization rate, Indicates The weight of the function, Indicates The time difference between the last time a function was used and the current time. is the attenuation coefficient, Represents the number of features in the virtual care product service.

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