Novel commission-free card allowing online car-hailing driver to flexibly adjust commission-free time period

By allowing drivers to customize the commission-free period and combining the intelligent recommendation function, the problems of low usage rate and waste of commission-free cards in the existing technology are solved, and efficient use and cost control of commission-free cards are achieved.

CN120494895APending Publication Date: 2025-08-15BEIJING BAIJU YIXING TECH CO LTD
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Patent Information

Application Number
CN202510406678.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-02
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

The fixed commission-free period design of the existing online car-hailing free card is difficult to meet the driver's personalized needs, resulting in low usage rate and waste of costs, and poor incentive effect.

Method used

Drivers are allowed to customize the commission-free period, and combined with the platform's intelligent recommendation function, adjust the commission-free period and strategy through dynamic optimization algorithms to achieve flexible settings and refined management.

Benefits of technology

It significantly improves the utilization rate and cost utilization rate of commission-free cards, meets the personalized needs of drivers, and achieves a win-win situation between incentive effects and cost control.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a novel commission-free card allowing an online car-hailing driver to flexibly adjust a commission-free time period, and relates to the technical field of online car-hailing operation management. Comprising a commission-free card parameter presetting module, a target driver screening and issuing module, a commission-free time period self-defining module, a dynamic optimization and recommendation module and a use monitoring and cost control module, and generating a commission-free card by taking the commission-free duration as a total duration limit of a driver customizable commission-free period. According to the invention, the utilization rate of the commission-free card is improved from 40% to 75% (improved by 35PP) through the driver's self-definition commission-free time period, batch-by-batch multi-time setting and intelligent recommendation functions. Meanwhile, by limiting the range of the commission-free duration and a dynamic optimization mechanism, the commission-free cost utilization rate is increased from 60% to 85% (increased by 25PP). According to the scheme, the individual requirements of drivers are met, the win-win situation of the motivation effect and cost control is achieved, and higher benefits are brought to platform operation.
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Description

Technical Field

[0001] The present invention relates to the technical field of online car-hailing operation management, and in particular to a new commission-free card that allows online car-hailing drivers to flexibly adjust commission-free periods. Background Art

[0002] With the rapid development of the online ride-hailing industry, platform service providers have introduced various incentive policies to encourage drivers to actively accept orders. Commission-free cards have become widely used as a common and effective incentive tool. A commission-free card allows drivers to enjoy a commission-free benefit by accepting orders during a specified time period set by the service provider. This means the service provider does not charge commission for orders placed during this time period. However, the design and usage of most commission-free cards currently on the market are relatively simple. Service providers primarily set fixed commission-free periods, leaving drivers unable to choose their own schedules. While this design has provided some incentives, the fixed time periods are difficult to align with the actual dispatch times of all drivers, resulting in low usage of commission-free cards and a lack of effective incentives.

[0003] The existing technology has the following deficiencies:

[0004] The main drawback of existing technologies lies in the lack of flexibility in the fixed commission-free periods set by service providers, making it difficult to meet the individual needs of drivers, resulting in poor commission-free card usage. On the one hand, some drivers receive fewer orders during the commission-free periods set by service providers, failing to achieve their desired returns and, therefore, lacking motivation to use the commission-free cards. On the other hand, due to personal schedule conflicts, some drivers are unable to drive during the designated periods, resulting in unused or low usage rates for the commission-free cards, making it difficult to achieve their desired incentive effect. Furthermore, the fixed timeframe design can easily waste resources and increase operating costs for service providers. Even if commission-free cards are issued, some drivers, lacking flexible options, may forgo using them or accept fewer orders, resulting in service providers incurring unnecessary commission-free costs without achieving significant order growth. This not only undermines the actual incentive effect of the commission-free cards but also reduces the platform's ability to precisely control and manage costs.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a new type of commission-free card that allows online car-hailing drivers to flexibly adjust the commission-free period. By allowing drivers to customize the commission-free period, supporting multiple settings in batches, and combining the platform's intelligent recommendation function, the utilization rate of the commission-free card is significantly improved, from 40% of the traditional fixed commission-free period to 75%, an increase of 35 percentage points (PP). At the same time, by restricting drivers to set commission-free periods within the commission-free time range preset by the service provider, and combining a dynamic optimization mechanism, the commission-free cost utilization rate is increased from 60% to 85%, an increase of 25 percentage points (PP). This solution not only meets the personalized needs of drivers, but also achieves two-way optimization of incentive effects and cost control, bringing a win-win effect to the platform and drivers to solve the problems in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a new commission-free card that allows online ride-hailing drivers to flexibly adjust commission-free periods, comprising a commission-free card parameter preset module, a target driver screening and issuance module, a commission-free period customization module, a dynamic optimization and recommendation module, and a usage monitoring and cost control module:

[0008] The commission-free card parameter preset module allows service providers to preset the core parameters of the commission-free card based on their operational strategies and use the commission-free duration as the total duration limit for drivers to customize the commission-free period, generating the commission-free card.

[0009] In the target driver screening and issuance module, the service provider selects eligible target drivers based on their tag data and operating rules, and issues commission-free cards to the target driver accounts through a designated method.

[0010] A commission-free period customization module allows drivers to customize commission-free periods according to their personal needs within the validity period of their commission-free card. The commission-free periods must meet the commission-free time limits preset by the service provider and can be configured in batches or cyclically until the commission-free period is exhausted.

[0011] The dynamic optimization and recommendation module uses a dynamic matching algorithm to evaluate the correlation between the commission-free periods set by drivers and peak hours and order-intensive periods based on the platform's real-time order data. This optimizes the effectiveness of the commission-free periods and generates and returns recommended commission-free periods to drivers for confirmation.

[0012] Using the monitoring and cost control module, during the use of the commission-free card, the driver's order acceptance status during the commission-free period is monitored in real time, and the usage rate and cost-benefit ratio of the commission-free card are analyzed through the cost control algorithm, and the commission-free period and commission-free strategy are dynamically adjusted to achieve refined management of commission-free resources and effective control of service provider costs.

[0013] Preferably, the service provider presets the core parameters of the commission-free card based on the operation strategy, and sets the commission-free duration as the total duration limit for the driver's customizable commission-free period. The specific steps for generating a commission-free card are as follows:

[0014] Before generating a commission-free card, fully analyze the platform's operational data and clarify the purpose and strategy of issuing the commission-free card;

[0015] Set the core parameters of the commission-free card based on the results of operational data analysis;

[0016] After completing the parameter settings, generate the basic template of the commission-free card through the backend to prepare for the subsequent issuance process:

[0017] After generating the commission-free card template, we further refine the distribution rules and collection methods of the commission-free card to accurately reach the target driver group and improve the issuance efficiency and usage rate of the commission-free card.

[0018] Preferably, the service provider screens eligible target drivers based on the driver's tag data and operating rules, and issues commission-free cards to the target driver's account through a designated method. The specific steps are as follows:

[0019] Based on the driver behavior data in the operation system, the service provider generates multi-dimensional labels for each driver and conducts classification evaluation;

[0020] After analyzing driver data, we set screening rules based on the platform's operational goals and commission-free card design parameters to identify the target driver group for the commission-free card.

[0021] After completing driver screening, select the appropriate commission-free card distribution method based on different issuance strategies and driver characteristics to ensure that drivers can quickly receive and activate the commission-free card;

[0022] After the commission-free cards are distributed, drivers will be notified through various channels, and their collection and usage will be monitored in real time to optimize the commission-free card issuance strategy.

[0023] Preferably, drivers can customize commission-free periods according to their personal needs within the validity period of the commission-free card. The commission-free periods must meet the commission-free time limit preset by the service provider and can be configured in batches or cyclically until the commission-free period is exhausted. The specific steps are as follows:

[0024] After the commission-free card is successfully issued to the driver's account, the driver can view the specific information of the commission-free card through the platform;

[0025] Drivers can enter the commission-free card setting interface through the APP according to their personal needs and select a commission-free period that suits their needs;

[0026] If the driver does not use up the full commission-free period of the commission-free card during the initial commission-free period, the platform allows the driver to configure the remaining time in batches multiple times within the validity period of the commission-free card;

[0027] After the driver confirms the set commission-free period, the platform automatically activates the commission-free card and monitors the usage of the commission-free period in real time.

[0028] Preferably, based on the commission-free period set by the driver, the platform's real-time order data is combined with a dynamic matching algorithm to evaluate the correlation between the driver's commission-free period and peak hours and order-intensive periods, optimize the use of the commission-free period, and generate and return a recommended commission-free period to the driver for confirmation. The specific steps are as follows:

[0029] By analyzing the platform's real-time order data, we build an order density model to identify order-intensive intervals and peak hours in different time periods and regions. The calculation expression is as follows:

[0030]

[0031] , where D(t,i) is the order density, O t is the total number of orders in time period t, A i is the order volume of region i, W(t,i) is the order weight of region i in time period t, T is the total number of time points, Indicates the total number of orders for the day;

[0032] Based on the commission-free time period set by the driver, the coverage efficiency of the set time period in the order-intensive period is calculated to evaluate the effectiveness of the driver's commission-free time period. The calculation expression is as follows:

[0033]

[0034] , where S d is the set of commission-free periods set by the driver, I is the set of all areas divided by the platform, E(S d ) is the commission-free period coverage efficiency, t∈S d It is the commission-free period set by the driver;

[0035] According to the commission-free period coverage efficiency E(S d ) results, combined with the platform order density model {D(t,i)}, an optimization algorithm is used to generate recommended commission-free periods, which are then fed back to drivers for confirmation and adjustment. The calculation expression for the recommended commission-free period is as follows:

[0036]

[0037] , where is the optimized recommended commission-free period set, S is the commission-free period, It is the maximum time range that the driver can choose. The goal is to find a value in the commission-free period S that maximizes coverage efficiency.

[0038] Preferably, during the use of the commission-free card, the driver's order acceptance during the commission-free period is monitored in real time, and the usage rate and cost-benefit ratio of the commission-free card are analyzed through a cost control algorithm. The commission-free period and commission-free strategy are dynamically adjusted to achieve refined management of commission-free resources and effective control of service provider costs. The specific steps are as follows:

[0039] During the commission-free period set by the driver, the platform records the driver's order data in real time and calculates the usage rate of the commission-free card. The calculation expression is as follows:

[0040]

[0041] , where UR is the commission-free card usage rate, T max is the total duration of the commission-free period set by the driver, N is the number of time slices, O j is the number of orders completed by the driver in the jth time segment during the commission-free period; The total number of orders completed by the driver during the commission-free period;

[0042] Based on the calculation of the commission-free card usage rate, combined with the actual cost and benefits of the commission-free card, the service provider calculates the cost-benefit ratio of the commission-free card through the formula. The calculation expression is as follows:

[0043]

[0044] , where CRR is the cost-benefit ratio of commission-free cards, C total It is the total commission-free cost of the service provider during the commission-free period, calculated as follows:

[0045]

[0046] , where C j is the average commission amount per order, R total It is the total revenue generated by the commission-free card during the commission-free period. The calculation formula is as follows:

[0047]

[0048] , where R j is the average revenue per order;

[0049] Based on the commission-free card usage rate (UR) and the commission-free card cost-benefit ratio (CRR), the service provider optimizes the commission-free duration and issuance strategy through a dynamic adjustment algorithm to ensure efficient utilization of commission-free resources. The dynamic adjustment algorithm formula is as follows:

[0050] T adjust =T max ×(1-α·β·CRR)

[0051] , where Tadjust is the adjusted commission-free period, T max is the total duration of the current commission-free period, α is the revenue weight coefficient set by the service provider, and β is the utilization weight coefficient.

[0052] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0053] The present invention significantly increases the utilization rate of commission-free cards by allowing drivers to customize commission-free periods according to their own circumstances and supports multiple settings in batches. Under the traditional model, because service providers preset fixed commission-free periods, many drivers fail to effectively use commission-free cards due to low order volume, time conflicts, or inability to drive, and the utilization rate is only about 40%. This solution gives drivers the right to flexibly set settings, such as allowing a single setting of peak hours, flexible configuration of commission-free periods in batches, and combined with the platform's intelligent recommendation function, drivers can drive during periods with the strongest order demand. Data shows that after drivers can customize commission-free periods, the utilization rate of commission-free cards increased from 40% to 75%, an increase of 35 percentage points (PP). This improvement not only meets the personalized needs of drivers, but also directly enhances the actual effect of the platform's incentive policy, bringing more order growth to service providers.

[0054] The present invention effectively achieves refined management of commission-free costs by limiting the setting of the driver's commission-free period to within the commission-free period preset by the service provider. In the traditional model, service providers usually set a longer fixed commission-free period (such as 12 hours), but due to the low efficiency of the drivers in actually accepting orders or insufficient order volume, the utilization rate of commission-free costs is low, only about 60%. This solution sets a total limit on the commission-free period (such as 6 hours or 12 hours) and combines it with a dynamic recommendation function. Drivers use commission-free cards during peak order periods, such as the night peak period of 18:00-21:00, thereby significantly improving the effective utilization rate of commission-free costs. Data shows that the service provider's commission-free cost utilization efficiency has increased from 60% to 85%, an increase of 25 percentage points (PP). This optimization method not only reduces resource waste, but also balances incentive effects and cost control, bringing higher revenue efficiency to the service provider's operating strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given 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.

[0056] Figure 1 This is a system flow chart of a new commission-free card that allows online taxi drivers to flexibly adjust the commission-free period. DETAILED DESCRIPTION

[0057] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0058] The present invention provides Figure 1 The illustrated system is a new commission-free card that allows online ride-hailing drivers to flexibly adjust commission-free periods. It includes a commission-free card parameter preset module, a target driver screening and issuance module, a commission-free period customization module, a dynamic optimization and recommendation module, and a usage monitoring and cost control module.

[0059] The commission-free card parameter preset module allows service providers to preset the core parameters of the commission-free card based on their operational strategies and use the commission-free duration as the total duration limit for drivers to customize the commission-free period, generating the commission-free card.

[0060] The service provider presets the core parameters of the commission-free card based on the operating strategy and sets the commission-free duration as the total duration limit for drivers to customize the commission-free period. The specific steps for generating a commission-free card are as follows:

[0061] Before generating a commission-free card, fully analyze the platform's operational data and clarify the purpose and strategy of issuing the commission-free card;

[0062] This includes: Historical order data analysis: By mining information such as peak and off-peak hours for platform orders, and regional order density, we can assess the time periods when commission-free cards are most suitable. For example, a service provider may find that drivers are most likely to accept orders during peak hours in the morning and evening, while order volume is lower during lunchtime, so they may need to use commission-free cards to encourage drivers to drive during off-peak hours.

[0063] Driver behavior data analysis: Based on the driver's historical driving frequency, order acceptance time, order completion rate and other behavioral characteristics, we can identify driver groups that need to be focused on incentives, such as low-activity drivers, newly registered drivers, or specific driver teams in a certain area.

[0064] Commission-free cost calculation: Service providers need to use models to estimate the potential benefits and costs of commission-free cards to ensure that the design of the cards can incentivize drivers to accept orders while controlling overall operating costs.

[0065] This analysis process provides a decision-making basis for the generation of commission-free cards, ensuring that the setting of commission-free cards is more targeted and operationally valuable, rather than being issued blindly, thereby avoiding waste of resources.

[0066] Set the core parameters of the commission-free card based on the results of operational data analysis;

[0067] This includes the commission-free period, validity period, and applicable conditions to ensure the design of the commission-free card is reasonable and flexible:

[0068] Commission-free duration: Service providers set a preset total commission-free duration for each commission-free card, such as 6 or 12 hours. This duration serves as the total duration limit for subsequent commission-free periods defined by drivers, ensuring that drivers' usage is manageable and preventing excessive commission-free periods from causing uncontrolled costs for service providers.

[0069] Validity period: Set the activation and validity period for the commission-free card. For example, the commission-free card can be activated and used within 7 days of receipt, encouraging drivers to plan their usage time as soon as possible to avoid long-term idleness.

[0070] Applicable conditions: Set the scope of application of the commission-free card, such as specific cities, order types (ride-sharing, private cars, etc.), or driver groups (new drivers, active drivers, etc.). This can be matched with different driver tags and operational goals to ensure that the commission-free card design is consistent with the actual needs of drivers.

[0071] Other parameters: Service providers can also set additional parameters such as the name of the commission-free card (such as "morning rush hour exclusive commission-free card"), the collection method (such as automatic issuance or task collection), etc., to make the commission-free card design more flexible and attractive.

[0072] This process is the core link in generating commission-free cards, and the setting of all parameters needs to take into account both incentive effects and cost control.

[0073] After completing the parameter settings, generate the basic template of the commission-free card through the backend to prepare for the subsequent issuance process:

[0074] Creation of a commission-free card template: Enter the core parameters (commission-free duration, validity period, applicable conditions, etc.) into the system to automatically generate a commission-free card for drivers to collect. For example, the template specifies that the commission-free card supports "3 hours per day, a total of 12 hours, valid for 7 days" and other specific information.

[0075] Template batch management: Service providers can generate a variety of commission-free card templates according to different incentive scenarios, such as a short-term commission-free card (3 hours) for the morning rush hour and a long-term commission-free card (12 hours) for the entire day.

[0076] Selection of distribution method: After the system generates the commission-free card template, it will also bind it to different distribution rules, such as automatically distributing it to the driver's account, or allowing the driver to collect it after completing the task.

[0077] The template generation process not only standardizes the structural design of commission-free cards, but also improves the applicability of commission-free cards through batch and diversified management, adapting to different driver needs and operational goals.

[0078] After generating the commission-free card template, further refine the distribution rules and collection methods of the commission-free card to accurately reach the target driver group and improve the efficiency of commission-free card issuance and utilization rate;

[0079] Target driver screening: Based on driver behavior data and platform operation strategies, eligible driver groups are screened. For example, low-activity drivers can be automatically rewarded, while high-activity drivers can be rewarded through task collection to further incentivize them to complete more orders.

[0080] Diverse redemption methods: Service providers can define a variety of redemption methods, including free redemption, paid purchase, unlocking after completing a task, and winning through a lucky draw. This flexibility not only increases the appeal of commission-free cards but also promotes driver engagement.

[0081] Notifications and Reminders: Target drivers will be notified of commission-free card redemption notifications via platform messages, app push notifications, or text messages, along with usage rules and instructions, to ensure drivers understand and receive the card in a timely manner.

[0082] Collection data monitoring: The system monitors drivers' collection behavior in real time, such as the collection rate and the number of drivers who have not collected their cards, and provides data feedback to help service providers further optimize the distribution strategy of commission-free cards.

[0083] By refining the distribution and collection rules, the service provider not only improves the reach of the commission-free cards, but also ensures that the commission-free cards can be accurately distributed to the driver groups who need them most, laying the foundation for subsequent customized use.

[0084] In the target driver screening and distribution module, the service provider selects eligible target drivers based on their tag data (such as order volume, driving time, order completion rate, etc.) and operating rules, and issues commission-free cards to the target driver accounts through designated methods (such as automatic dispatch, task collection, or lottery);

[0085] The service provider screens eligible target drivers based on their tag data and operating rules, and issues commission-free cards to the target driver accounts through a designated method. The specific steps are as follows:

[0086] Based on the driver behavior data in the operation system, the service provider generates multi-dimensional labels for each driver and conducts classification evaluation;

[0087] These tags include but are not limited to: Order volume: Count the number of orders each driver receives in different time periods to evaluate their activity, such as order performance during peak and off-peak periods.

[0088] Driving time: Analyze the driver's cumulative online time and driving frequency to determine his level of participation in the platform.

[0089] Order completion rate: records the order completion status of drivers within a certain period, and screens out stable and efficient drivers or low-activity drivers who need incentives.

[0090] By generating and analyzing multi-dimensional tags, service providers can identify the characteristics of different driver groups and develop targeted commission-free card issuance strategies. For example, for drivers with low order volume but high online time, commission-free cards can be used to incentivize them to accept orders; while for drivers with high order completion rates, they can be offered preferential commission-free periods.

[0091] After analyzing driver data, we set screening rules based on the platform's operational goals and commission-free card design parameters to identify the target driver group for the commission-free card.

[0092] Screen efficient drivers: For example, set the rule of "drivers with an order completion rate ≥ 90% and a number of orders ≥ 30 in the past 7 days" as the efficient group, and use commission-free cards to further incentivize them to maintain a stable driving schedule.

[0093] Incentivize low-activity drivers: For example, for drivers whose "order volume in the past 7 days is less than 10 and online time is ≥ 20 hours", their willingness to accept orders can be stimulated by providing them with short-term commission-free cards.

[0094] Drivers for specific areas or tasks: For example, filtering drivers in a specific city, or drivers who have recently participated in platform activities (such as carpooling tasks or full-order reward tasks), to enhance the platform's resource support for local areas or specific tasks.

[0095] Through rule setting, service providers can implement automated screening in the system to ensure that commission-free cards can reach precise target driver groups, thereby improving the effectiveness and efficiency of issuing commission-free cards.

[0096] After completing driver screening, select the appropriate commission-free card distribution method based on different issuance strategies and driver characteristics to ensure that drivers can quickly receive and activate the commission-free card;

[0097] Automatic Distribution: Commission-free cards are directly issued to eligible drivers, without driver interaction. This method is suitable for high-performing drivers or other driver groups that are specifically incentivized.

[0098] Task collection: Drivers can unlock and receive commission-free cards by completing specific tasks (such as completing a certain number of orders), which encourages drivers to actively increase their enthusiasm for accepting orders.

[0099] Lottery mode: After drivers complete certain activities, they can participate in the lottery to obtain a commission-free card to increase the fun of participation and enhance the attractiveness of the event.

[0100] Service providers can also combine the above methods for mixed use, such as automatically distributing basic commission-free cards while providing tasks to receive commission-free cards with higher amounts, to ensure that different types of drivers have the opportunity to participate.

[0101] After the commission-free cards are distributed, drivers will be notified through various channels. The collection and use of the cards will be monitored in real time to optimize the card issuance strategy.

[0102] Notify drivers: Use app push notifications, SMS notifications, or task page prompts to let drivers know that the commission-free card has arrived or is available for collection, along with instructions for use and time limits to avoid missing information.

[0103] Collection and usage monitoring: Service providers monitor drivers’ commission-free card collection and usage rates through backend systems and analyze reasons why drivers haven’t collected their cards, such as insufficient notification or low demand for commission-free cards.

[0104] Data feedback and optimization: Adjust subsequent issuance strategies based on real-time data, such as reclassifying drivers who do not use commission-free cards, designing more attractive commission-free card templates, or optimizing issuance rules to cover more target groups.

[0105] Through data monitoring and dynamic adjustments, service providers can continuously optimize the effectiveness of commission-free cards in actual operations and achieve the best balance between costs and incentives.

[0106] A commission-free period customization module allows drivers to customize commission-free periods according to their personal needs within the validity period of their commission-free card. The commission-free periods must meet the commission-free time limits preset by the service provider and can be configured in batches or cyclically until the commission-free period is exhausted.

[0107] During the validity period of the commission-free card, drivers can customize commission-free periods based on their personal needs. The commission-free periods must meet the commission-free duration limits preset by the service provider and can be configured in batches or cyclically until the commission-free period is exhausted. The specific steps are as follows:

[0108] After the commission-free card is successfully issued to the driver's account, the driver needs to check the specific information of the commission-free card through the platform (such as the online ride-hailing driver app);

[0109] This information includes: Commission-Free Card Core Parameters: Drivers can view the commission-free duration (e.g., 6 or 12 hours), validity period (e.g., within 7 days), and applicable conditions (e.g., applicable cities, order types, order acceptance methods, etc.) of the commission-free card. These parameters are preset by the service provider and clarify the rules and scope within which drivers can use the commission-free card.

[0110] Notifications and Reminders: Drivers will receive a notification from the platform, notifying them that their commission-free card has arrived, along with instructions and steps for using it. For example, "You have received a 12-hour commission-free card, valid until January 10, 2024. Customize your commission-free period now!"

[0111] Information transparency: Drivers can also view the details page to learn about the remaining time of the commission-free card, setting records, and usage feedback.

[0112] This step ensures drivers understand the eligibility requirements for commission-free cards and encourages them to start using them as soon as possible, thereby increasing their utilization rate. By aligning with the aforementioned card issuance process by service providers, this process further encourages drivers to move from passive acceptance to active participation.

[0113] Drivers can enter the commission-free card setting interface through the APP according to their personal needs and select a commission-free period that suits their needs;

[0114] Specifically supports the following flexible settings:

[0115] Single-time setting: Drivers can select a continuous period as a commission-free period, for example, "January 1, 2024, 2:00 PM - 4:00 PM." This setting is suitable for drivers who are driving for a short period of time, quickly using up some of the commission-free time.

[0116] Cycle Settings: For drivers who drive regularly, you can set a fixed daily time period as a commission-free period, for example, "January 1, 2024 - January 5, 2024, 12:00 PM - 2:00 PM daily." This setting mode can adapt to the driver's regular driving habits and reduce the operating costs of frequent configuration.

[0117] Service Provider Recommended Time Periods: The platform uses a driver's historical order data and peak order periods to recommend the best commission-free time periods. For example, "Nighttime peak (6:00 PM - 9:00 PM) has a higher order volume, so we recommend setting up a commission-free card during this time period." This personalized recommendation further optimizes driver performance.

[0118] After the driver completes the time period selection, the system will verify whether the commission-free time period he set meets the total commission-free duration and validity requirements to ensure compliance with the commission-free card usage rules.

[0119] If the commission-free period set by the driver for the first time does not fully utilize the total duration of the commission-free card (for example, only 2 hours are set, but the total duration is 6 hours), the platform allows the driver to configure the remaining time in batches multiple times within the validity period of the commission-free card;

[0120] Setting records and remaining time reminders: The system will record the commission-free time periods set by drivers and dynamically display the remaining time. For example, "2 hours used, 4 hours remaining." Drivers can review and plan their future usage at any time.

[0121] Flexibility in batch settings: Drivers can flexibly set the remaining time based on their personal needs. For example, a driver can set 2 hours in the morning and 1 hour in the afternoon of the next day, until the total commission-free time is consumed.

[0122] Dynamically adjust time periods: If a driver is unable to drive due to special reasons after setting the time period, the unused commission-free time period can be readjusted within the validity period of the commission-free card to improve the actual usage efficiency of the commission-free card.

[0123] The multiple batch configuration function effectively solves the drivers' demand for flexibility in commission-free time periods, while ensuring the maximum utilization of commission-free card resources and avoiding waste of time and costs.

[0124] After the driver confirms the commission-free period, the platform automatically activates the commission-free card and monitors the usage of the commission-free period in real time;

[0125] Automatic Validation: Once the driver has completed the settings, the system will automatically activate the commission-free mechanism during the set period. For example, if the driver sets the commission-free period as "January 2, 2024, 10:00-12:00," the system will automatically reduce the driver's commission for orders during that period.

[0126] Real-time usage feedback: Drivers can view commission-free card usage through the app, including the number of orders during the commission-free period, the elapsed time, and the remaining time. For example, "You completed 5 orders during this commission-free period, using 2 hours of commission-free time and 10 hours remaining."

[0127] Service Provider Monitoring and Optimization: The platform's backend system will simultaneously record drivers' commission-free card usage and analyze it based on data such as order volume and peak hour coverage. If the commission-free card's effectiveness is found to be lower than expected, the service provider can send a push notification to prompt the driver to adjust the settings or optimize subsequent issuance strategies.

[0128] This process not only realizes the practical use of the commission-free card function, but also provides service providers with a basis for dynamically adjusting the design of commission-free cards, so that commission-free cards can truly play a role in promoting order growth and motivating drivers.

[0129] The dynamic optimization and recommendation module uses a dynamic matching algorithm to evaluate the correlation between the commission-free periods set by drivers and peak hours and order-intensive periods based on the platform's real-time order data. This optimizes the effectiveness of the commission-free periods and generates and returns recommended commission-free periods to drivers for confirmation.

[0130] Based on the commission-free periods set by drivers, and combined with the platform's real-time order data, a dynamic matching algorithm is used to evaluate the correlation between the driver's commission-free periods and peak hours and periods with high order density, optimize the effectiveness of the commission-free periods, and generate and return recommended commission-free periods to the driver for confirmation. The specific steps are as follows:

[0131] By analyzing the platform's real-time order data, we build an order density model to identify order-intensive intervals and peak hours in different time periods and regions. The calculation expression is as follows:

[0132]

[0133] , where D(t,i) is the order density, which represents the order demand level in a certain area during a certain period of time, O t is the total number of orders in time period t, with the statistical unit being hours. For example, the total number of orders from 7:00 to 8:00 in the morning, A i is the order volume in region i, for example, the order distribution in different areas of a city (such as business districts and residential areas). W(t,i) is the order weight in region i during time period t, which is calculated by combining historical order data with real-time data to represent the combined impact of time and region on orders. T is the total number of time points. Indicates the total order volume for the day, used to normalize order data;

[0134] Through this step, a set of order density values {D(t,i)} are generated to identify high order volume periods and hot spots. These data are then passed to the next step for matching analysis with the driver's commission-free periods.

[0135] Based on the commission-free time period set by the driver, the coverage efficiency of the set time period in the order-intensive period is calculated to evaluate the effectiveness of the driver's commission-free time period. The calculation expression is as follows:

[0136]

[0137] , where S d is the set of commission-free time periods set by the driver. For example, if the driver sets two time periods, "7:00-9:00" and "18:00-20:00", then S d ={(7,9),(18,20)}, I is the set of all regions divided by the platform. For example, if a city is divided into 10 regions, then I = {1,2,…,10}, E(S d ) is the commission-free period coverage efficiency, defined as the overlap ratio of the driver’s commission-free period within the order-intensive period, t∈S d It is the commission-free period set by the driver;

[0138] By calculating E(S d ), we can get the coverage efficiency of the commission-free period set by the driver in the overall order-intensive period of the platform. If E(S d ) value is low, indicating that the time period set by the driver fails to cover the peak period of platform orders; if E(S d ) value, indicating that drivers utilize commission-free hours more frequently, resulting in better order returns. This result will be passed to the next step to generate optimization recommendations.

[0139] According to the commission-free period coverage efficiency E(S d) results, combined with the platform order density model {D(t,i)}, an optimization algorithm is used to generate recommended commission-free periods, which are then fed back to drivers for confirmation and adjustment. The calculation expression for the recommended commission-free period is as follows:

[0140]

[0141] , where is the optimized recommended commission-free time period set, which represents the new time period allocation plan generated by the system. S is the commission-free time period. The maximum time range available to drivers (such as the peak time set preset by the service provider). The goal is to find a value in the commission-free period S that maximizes coverage efficiency.

[0142] Generate the most efficient commission-free period through dynamic optimization algorithms (such as genetic algorithms or reinforcement learning models) For example, the driver originally set the time period to "10:00-12:00", but after analysis, the system recommends adjusting the time period to "9:00-11:00" to cover the higher density of order demands, and prompts the driver: "It is recommended that you adjust the commission-free period to 9:00-11:00, which is expected to increase the order volume by 15%." Finally, the driver can adjust the time period according to the recommended time period. After confirmation and adjustment, the platform will continue to monitor the effectiveness of the commission-free card to ensure maximum incentives for drivers and increase order volume.

[0143] The monitoring and cost control module monitors the drivers' order acceptance during commission-free periods in real time during the commission-free card usage process. The module also analyzes the card's usage rate and cost-benefit ratio through a cost control algorithm, dynamically adjusting the commission-free period and strategy to achieve refined management of commission-free resources and effective cost control for service providers.

[0144] During the commission-free card usage process, drivers' orders during the commission-free period are monitored in real time. The usage rate and cost-benefit ratio of the commission-free card are analyzed through a cost control algorithm. The commission-free period and commission-free strategy are dynamically adjusted to achieve refined management of commission-free resources and effective control of service provider costs. The specific steps are as follows:

[0145] During the commission-free period set by the driver, the platform records the driver's order acceptance data in real time and calculates the commission-free card usage rate. This usage rate reflects the effectiveness of the driver's order acceptance behavior during the commission-free period and is the basic parameter for subsequent cost-benefit analysis. The calculation expression is as follows:

[0146]

[0147] , where UR is the commission-free card utilization rate, expressed in percentage (%), indicating the efficiency of the driver in accepting orders during the commission-free period, T maxis the total duration of the commission-free period set by the driver, in hours. For example, if the driver sets the commission-free period to 2 hours, then T max =2, N is the number of time slices, O j is the number of orders completed by the driver in the jth time segment during the commission-free period; The total number of orders completed by the driver during the commission-free period (e.g., if a driver completed 5 orders during the commission-free period, the order quantity would be 5).

[0148] The commission-free card usage rate is dynamically calculated based on the driver's order acceptance behavior (number of orders, order acceptance time, etc.) and the total duration of the commission-free period set by the driver. For example, if a driver completes 5 orders within a 2-hour commission-free period, the commission-free card usage rate is:

[0149]

[0150] The commission-free card usage rate will serve as an important parameter for the next cost-benefit ratio calculation, and will be used to determine the incentive effect of the commission-free card.

[0151] Based on the calculation of the commission-free card usage rate, combined with the actual cost and benefits of the commission-free card, the service provider uses a formula to calculate the cost-benefit ratio of the commission-free card. This is used to evaluate the investment and return of the commission-free card during the commission-free period. The calculation expression is as follows:

[0152]

[0153] In the formula, CRR is the cost-benefit ratio of the commission-free card, which is used to measure the cost control efficiency of the commission-free resources. The lower the value, the better the return effect of the commission-free card. total It is the total commission-free cost of the service provider during the commission-free period, calculated as follows:

[0154]

[0155] , where C j is the average commission amount per order, R total It is the total revenue generated by the commission-free card during the commission-free period. The calculation formula is as follows:

[0156]

[0157] , where R j is the average revenue per order;

[0158] By calculating the cost-benefit ratio, service providers can quantify the actual effect of the commission-free card. For example, if a driver completes 5 orders during the commission-free period, with an average commission of 10 yuan per order, and the platform revenue generated by each order is 50 yuan, then:

[0159] Ctotal =10×5=50 yuan, R total =50×5=250

[0160]

[0161] The results show that for every 1 yuan spent on commission-free services, service providers can earn 5 yuan in revenue, demonstrating the significant incentive effect of commission-free cards. If CRR > 1, it indicates that the commission-free costs are higher than the benefits, and the strategy needs to be adjusted.

[0162] Based on the commission-free card usage rate (UR) and the commission-free card cost-benefit ratio (CRR), the service provider optimizes the commission-free duration and issuance strategy through a dynamic adjustment algorithm to ensure efficient utilization of commission-free resources. The dynamic adjustment algorithm formula is as follows:

[0163] T adjust =T max ×(1-α·β·CRR)

[0164] , where T adjust The adjusted commission-free period is in hours, which is the new period provided by the service provider when issuing commission-free cards. max is the total duration of the current commission-free period, α is the revenue weight coefficient set by the service provider, which is used to measure the impact of the revenue ratio in the commission-free adjustment, and β is the utilization rate weight coefficient, which is used to measure the impact of the utilization rate in the commission-free adjustment.

[0165] According to the above steps, the commission-free card usage rate and cost-benefit ratio are combined to automatically adjust the subsequent commission-free card issuance period. For example, assuming the service provider's current commission-free period is 2 hours, the calculated CRR = 0.2, UR = 250%, and α = 0.6, β = 0.3 are set. The adjusted commission-free period is: T adjust =2×(1-0.6·0.3·0.2)=2×(1-0.036)=2×0.964=1.928 hours The adjustment results show that due to the high utilization rate and low cost-benefit ratio, the commission-free period has decreased slightly. Service providers can reasonably allocate commission-free resources while maintaining the incentive effect.

[0166] Implementation Method 1: Drivers can choose a fixed commission-free period within the validity period of their commission-free card based on their personal schedule. The system will then reduce or waive commissions based on the driver's selection. This method is particularly suitable for drivers with relatively fixed driving schedules or clear plans, such as those who drive during peak hours or at fixed times in the evening.

[0167] Specifically, after the driver obtains the commission-free card, he or she should first enter the commission-free card settings page through the driver-side APP to view the detailed information of the commission-free card, including the total time limit of the commission-free card (for example, 6 hours or 12 hours), validity period (such as valid within 7 days), applicable conditions (such as applicable cities and order types), etc. The platform will clearly prompt the driver in the interface about the range of commission-free time periods that can be selected to facilitate the driver to understand the setting rules. For example, if the total time of the commission-free card is 6 hours and the validity period is from January 1, 2024 to January 7, 2024, the driver can select 10:00-16:00 on a certain day as the commission-free period at one time during the validity period.

[0168] Based on their personal driving arrangements, the driver selects a fixed time period in the time selector of the APP, such as "January 1, 2024 14:00-18:00", and submits the setting application. After receiving the application, the platform system will first verify whether the time period selected by the driver meets the rules of the commission-free card. For example, it will verify whether the selected time period is within the validity period and whether the total length of the time period does not exceed the total remaining time limit of the commission-free card (for example, if 4 hours is selected and the total time is 6 hours, it complies with the rules). After the verification is passed, the platform will activate the driver's commission-free card and automatically reduce the commission for orders during the time period selected by the driver.

[0169] The commission-free card automatically takes effect after the set time period. During this period, the driver's commission for orders will automatically be reduced to zero. For example, if a driver completes five orders between 2:00 PM and 6:00 PM, each with a commission of 10 yuan, the total commission reduction is 50 yuan. Drivers can view the commission-free card's usage in real time through the app, including key information such as "Time Used: 4 hours" and "Time Remaining: 2 hours." They can also view order details to understand the savings the card has made. This transparent feedback mechanism can increase drivers' confidence in the commission-free card and motivate them to drive more actively.

[0170] Furthermore, if a driver needs to adjust their commission-free plan due to an emergency (e.g., being unable to drive due to an unforeseen event), they can cancel their commission-free plan and select a new time before the commission-free period takes effect. The platform will allow drivers to reset their commission-free period during the validity period, provided that the unused commission-free period is sufficient to cover the new setting. This flexible, one-time setting allows drivers to maximize the benefits of the commission-free card within a specified period while avoiding unnecessary commission expenses.

[0171] The advantage of this method is that it is simple and intuitive. Drivers can directly choose the time period they think is most favorable to use the commission-free card without excessive operation. At the same time, the system's rule verification and transparent feedback mechanism can effectively reduce questions and conflicts during use, providing drivers with a more convenient and friendly user experience. For those drivers with clear schedules and strong planning, this method can fully utilize the value of the commission-free card and solve the problem that traditional fixed commission-free cards are difficult to match drivers' actual driving needs.

[0172] Implementation Method 2: In real-world scenarios, many drivers have irregular schedules. They may flexibly adjust their driving times based on daily order demand, personal circumstances, or changing city traffic conditions. Therefore, setting a single commission-free period may not fully meet the needs of these drivers. The ability to configure commission-free periods in batches can effectively solve this problem.

[0173] In this way, after the driver receives the commission-free card, the system will divide the total commission-free time of the card into multiple configurable time periods, and the driver can flexibly configure it in batches within the validity period of the commission-free card. For example, a driver receives a commission-free card with a total commission-free time of 12 hours and a validity period of 7 days, but does not want to use all 12 hours at once. Instead, he wants to divide it into multiple time periods based on actual needs. So the driver can set a 2-hour commission-free period from 10:00 am to 12:00 pm on January 1, 2024 as the first commission-free period; then set a 2-hour commission-free period from 2:00 pm to 4:00 pm on January 3 as the second commission-free period, until the total commission-free time of 12 hours is fully used up.

[0174] Each time a driver sets a time slot, the platform system provides detailed status information for the current commission-free card, including dynamic information such as "time used" and "time remaining." For example, if a driver sets a 2-hour time slot on January 1st, the system will display "Time used: 2 hours, time remaining: 10 hours," and remind the driver that the remaining time can be used at any time within the validity period. This batch setting method is particularly suitable for drivers with irregular schedules or those who need flexible scheduling.

[0175] More importantly, multiple batch configurations allow drivers to adjust commission-free periods that have been set but not yet taken effect within the validity period of the commission-free card. For example, if a driver originally planned to use a two-hour commission-free card from 10:00 AM to 12:00 PM on January 4th, but needs to change it to 2:00 PM to 4:00 PM on January 5th for personal reasons, they can modify the settings in the app, and the system will automatically cancel the original period and reassign the new one. This flexible setting mechanism allows drivers to fully utilize the benefits of the commission-free card based on their actual situation and avoid wasting resources due to plan changes.

[0176] This approach offers the advantages of high flexibility and adaptability, catering to the needs of a wider range of driver groups. Especially for drivers with random order times or uncertain schedules, the multiple batch configuration feature can effectively increase commission-free card usage while ensuring maximum utilization of the service provider's commission-free resources. Furthermore, the platform's transparent status feedback mechanism and flexible modification capabilities provide drivers with a better user experience.

[0177] Implementation Method 3: To further enhance the effectiveness of commission-free cards and the platform's overall revenue, the platform has introduced a dynamic algorithm-based recommendation mechanism to help drivers optimize their commission-free time slots. This approach combines drivers' personal historical data with the platform's real-time order information to provide drivers with personalized commission-free time slot recommendations.

[0178] Specifically, when a driver enters the commission-free card settings page, the system will recommend the optimal commission-free time period for the driver based on historical data (such as the driver's order-taking habits and frequently accepted order types) and real-time order dynamics. For example, a driver's past order data shows that their order completion rate is higher during the night peak (18:00-21:00), and current platform order data also shows that the demand for orders during the night peak is relatively large. At this time, the system will push a prompt: "The night peak order volume is large. It is recommended to set the commission-free period to 18:00-21:00 to obtain more profits." Drivers can choose to set the time period based on the system's recommendation, or adjust the recommended time period according to their personal needs.

[0179] In the recommendation mechanism, the system will also dynamically adjust the effectiveness of the commission-free card. For example, after a driver sets a commission-free period, the platform will monitor the driver's number of orders, order completion rate, and total turnover during that period, and evaluate the efficiency of the commission-free period through an algorithm. If it is found that the driver's order volume is low during certain periods or the set period does not match the platform's peak order period, the system will push optimization suggestions during the next setting. For example: "Your set period has a low order volume. It is recommended to adjust to the morning peak period (7:00-9:00), and the expected income will increase by 30%."

[0180] Furthermore, the dynamic algorithm can adjust the service provider's issuance strategy based on the actual usage of commission-free cards. For example, if most drivers' commission-free hours are concentrated during peak hours, increasing pressure on platform resources, the system can automatically adjust the issuance rules for subsequent commission-free cards, recommending more drivers to choose off-peak hours to balance order demand and resource allocation.

[0181] The advantage of this implementation lies in its full utilization of big data and intelligent algorithms, maximizing mutual benefits for both drivers and the platform. Drivers can not only optimize their commission-free time slots based on system recommendations, but also receive real-time feedback on the effectiveness of their commission-free cards and further adjust their settings. The platform, through dynamic data analysis, improves the overall efficiency of commission-free cards, optimizes order allocation and resource management, and addresses the inefficiency of traditional commission-free cards.

[0182] The present invention significantly increases the utilization rate of commission-free cards by allowing drivers to customize commission-free periods according to their own circumstances and supports multiple settings in batches. Under the traditional model, because service providers preset fixed commission-free periods, many drivers fail to effectively use commission-free cards due to low order volume, time conflicts, or inability to drive, and the utilization rate is only about 40%. This solution gives drivers the right to flexibly set settings, such as allowing a single setting of peak hours, flexible configuration of commission-free periods in batches, and combined with the platform's intelligent recommendation function, drivers can drive during periods with the strongest order demand. Data shows that after drivers can customize commission-free periods, the utilization rate of commission-free cards increased from 40% to 75%, an increase of 35 percentage points (PP). This improvement not only meets the personalized needs of drivers, but also directly enhances the actual effect of the platform's incentive policy, bringing more order growth to service providers.

[0183] The present invention effectively achieves refined management of commission-free costs by limiting the setting of the driver's commission-free period to within the commission-free period preset by the service provider. In the traditional model, service providers usually set a longer fixed commission-free period (such as 12 hours), but due to the low efficiency of the drivers in actually accepting orders or insufficient order volume, the utilization rate of commission-free costs is low, only about 60%. This solution sets a total limit on the commission-free period (such as 6 hours or 12 hours) and combines it with a dynamic recommendation function. Drivers use commission-free cards during peak order periods, such as the night peak period of 18:00-21:00, thereby significantly improving the effective utilization rate of commission-free costs. Data shows that the service provider's commission-free cost utilization efficiency has increased from 60% to 85%, an increase of 25 percentage points (PP). This optimization method not only reduces resource waste, but also balances incentive effects and cost control, bringing higher revenue efficiency to the service provider's operating strategy.

[0184] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. A new commission-free card that allows online ride-hailing drivers to flexibly adjust commission-free periods, characterized by: It includes a commission-free card parameter preset module, a target driver screening and issuance module, a commission-free period customization module, a dynamic optimization and recommendation module, and a usage monitoring and cost control module: The commission-free card parameter preset module allows service providers to preset the core parameters of the commission-free card based on their operational strategies and use the commission-free duration as the total duration limit for drivers to customize the commission-free period, generating the commission-free card. In the target driver screening and issuance module, the service provider selects eligible target drivers based on their tag data and operating rules, and issues commission-free cards to the target driver accounts through a designated method. A commission-free period customization module allows drivers to customize commission-free periods according to their personal needs within the validity period of their commission-free card. The commission-free periods must meet the commission-free time limits preset by the service provider and can be configured in batches or cyclically until the commission-free period is exhausted. The dynamic optimization and recommendation module uses a dynamic matching algorithm to evaluate the correlation between the commission-free periods set by drivers and peak hours and order-intensive periods based on the platform's real-time order data. This optimizes the effectiveness of the commission-free periods and generates and returns recommended commission-free periods to drivers for confirmation. Using the monitoring and cost control module, during the use of the commission-free card, the driver's order acceptance status during the commission-free period is monitored in real time, and the usage rate and cost-benefit ratio of the commission-free card are analyzed through the cost control algorithm, and the commission-free period and commission-free strategy are dynamically adjusted to achieve refined management of commission-free resources and effective control of service provider costs.

2. A new commission-free card that allows online car-hailing drivers to flexibly adjust their commission-free periods according to claim 1, characterized in that: The service provider presets the core parameters of the commission-free card based on the operating strategy and sets the commission-free duration as the total duration limit for drivers to customize the commission-free period. The specific steps for generating a commission-free card are as follows: Before generating a commission-free card, fully analyze the platform's operational data and clarify the purpose and strategy of issuing the commission-free card; Set the core parameters of the commission-free card based on the results of operational data analysis; After completing the parameter settings, generate the basic template of the commission-free card through the backend to prepare for the subsequent issuance process: After generating the commission-free card template, we further refine the distribution rules and collection methods of the commission-free card to accurately reach the target driver group and improve the issuance efficiency and usage rate of the commission-free card.

3. The novel commission-free card according to claim 1, which allows online car-hailing drivers to flexibly adjust their commission-free periods, is characterized by: The service provider screens eligible target drivers based on their tag data and operating rules, and issues commission-free cards to the target driver accounts through a designated method. The specific steps are as follows: Based on the driver behavior data in the operation system, the service provider generates multi-dimensional labels for each driver and conducts classification evaluation; After analyzing driver data, we set screening rules based on the platform's operational goals and commission-free card design parameters to identify the target driver group for the commission-free card. After completing driver screening, select the appropriate commission-free card distribution method based on different issuance strategies and driver characteristics to ensure that drivers can quickly receive and activate the commission-free card; After the commission-free cards are distributed, drivers will be notified through various channels, and their collection and usage will be monitored in real time to optimize the commission-free card issuance strategy.

4. The novel commission-free card according to claim 1, which allows online car-hailing drivers to flexibly adjust their commission-free periods, is characterized in that: During the validity period of the commission-free card, drivers can customize commission-free periods based on their personal needs. The commission-free periods must meet the commission-free duration limits preset by the service provider and can be configured in batches or cyclically until the commission-free period is exhausted. The specific steps are as follows: After the commission-free card is successfully issued to the driver's account, the driver can view the specific information of the commission-free card through the platform; Drivers can enter the commission-free card setting interface through the APP according to their personal needs and select a commission-free period that suits their needs; If the driver does not use up the full commission-free period of the commission-free card during the initial commission-free period, the platform allows the driver to configure the remaining time in batches multiple times within the validity period of the commission-free card; After the driver confirms the set commission-free period, the platform automatically activates the commission-free card and monitors the usage of the commission-free period in real time.

5. The novel commission-free card according to claim 1, which allows online car-hailing drivers to flexibly adjust their commission-free periods, is characterized in that: Based on the commission-free periods set by drivers, and combined with the platform's real-time order data, a dynamic matching algorithm is used to evaluate the correlation between the driver's commission-free periods and peak hours and periods with high order density, optimize the effectiveness of the commission-free periods, and generate and return recommended commission-free periods to the driver for confirmation. The specific steps are as follows: By analyzing the platform's real-time order data, we build an order density model to identify order-intensive intervals and peak hours in different time periods and regions. The calculation expression is as follows: , Where D(t,i) is the order density, O t is the total number of orders in time period t, A i is the order volume of region i, W(t,i) is the order weight of region i in time period t, T is the total number of time points, Indicates the total number of orders for the day; Based on the commission-free time period set by the driver, the coverage efficiency of the set time period in the order-intensive period is calculated to evaluate the effectiveness of the driver's commission-free time period. The calculation expression is as follows: , Where S d is the set of commission-free periods set by the driver, I is the set of all areas divided by the platform, E(S d ) is the commission-free period coverage efficiency, t∈S d It is the commission-free period set by the driver; According to the commission-free period coverage efficiency E(S d ) results, combined with the platform order density model {D(t,i)}, an optimization algorithm is used to generate recommended commission-free periods, which are then fed back to drivers for confirmation and adjustment. The calculation expression for the recommended commission-free period is as follows: , Where, is the optimized recommended commission-free period set, S is the commission-free period, It is the maximum time range that the driver can choose. The goal is to find a value in the commission-free period S that maximizes coverage efficiency.

6. The novel commission-free card according to claim 1, which allows online car-hailing drivers to flexibly adjust their commission-free periods, is characterized in that: During the commission-free card usage process, drivers' orders during the commission-free period are monitored in real time. The usage rate and cost-benefit ratio of the commission-free card are analyzed through a cost control algorithm. The commission-free period and commission-free strategy are dynamically adjusted to achieve refined management of commission-free resources and effective control of service provider costs. The specific steps are as follows: During the commission-free period set by the driver, the platform records the driver's order data in real time and calculates the usage rate of the commission-free card. The calculation expression is as follows: , Where UR is the commission-free card utilization rate, T max is the total duration of the commission-free period set by the driver, N is the number of time slices, O j is the number of orders completed by the driver in the jth time segment during the commission-free period; The total number of orders completed by the driver during the commission-free period; Based on the calculation of the commission-free card usage rate, combined with the actual cost and benefits of the commission-free card, the service provider calculates the cost-benefit ratio of the commission-free card through the formula. The calculation expression is as follows: , Where CRR is the cost-benefit ratio of commission-free cards, C total It is the total commission-free cost of the service provider during the commission-free period, calculated as follows: , Where C j is the average commission amount per order, R total It is the total revenue generated by the commission-free card during the commission-free period. The calculation formula is as follows: , Where R j is the average revenue per order; Based on the commission-free card usage rate (UR) and the commission-free card cost-benefit ratio (CRR), the service provider optimizes the commission-free duration and issuance strategy through a dynamic adjustment algorithm to ensure efficient utilization of commission-free resources. The dynamic adjustment algorithm formula is as follows: T adjust =T max ×(1-α·β·CRR), Where, T adjust is the adjusted commission-free period, T max is the total duration of the current commission-free period, α is the revenue weight coefficient set by the service provider, and β is the utilization weight coefficient.