Dynamic driver task scheduling method and system based on heuristic optimization

Abstract

The invention discloses a dynamic driver task scheduling method and system based on heuristic optimization, and relates to the technical field of consumption medical treatment, and the method comprises the steps: carrying out the analysis of a medical beauty consumption historical record and a driver delivery historical order, obtaining a customer consumption level and a driver service level; according to the real-time dynamic order, the customer is analyzed and matched with a corresponding matching person, and a dynamic driver task is generated, called, classified and transmitted to a driver receiving end; according to the invention, high-value customers and important orders are identified through consumption data of medical and beauty personnel by using a data mining technology, preferences and demands of the customers are better known, products and services better meeting personalized demands of the customers are provided for the customers, and meanwhile, corresponding driver delivery personnel are matched, so that better service demands for the customers can be provided, and the customer experience is improved. Priority is given during distribution scheduling, so that customer satisfaction and loyalty are improved, and order processing and customer management are optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of consumer healthcare, and in particular to a dynamic driver task scheduling method and system based on heuristic optimization. Background Art

[0002] Heuristic optimization does not rely on an exact mathematical model of the problem, but explores the solution space of the problem by using intuitive rules, experience, strategies, or intelligent search techniques to find the best possible solution. Compared with exact optimization methods, it does not require an exhaustive search of the problem, but quickly locates potential solution regions through some targeted search strategies. Dynamic driver task scheduling aims to reasonably assign transportation tasks to suitable drivers according to changing demands and the real-time status of drivers, in order to achieve efficient transportation services and optimal utilization of resources.

[0003] Currently, medical aesthetic skincare has received increasing attention, and medical aesthetic customer pick-up and drop-off services have begun to be provided. During same-city pick-up and drop-off, it is necessary to assign tasks to drivers. When performing dynamic driver task scheduling, pick-up and drop-off services are usually carried out in the order of orders, making it difficult to fully consider the personalized needs of member customers and the importance of orders. Member customers wait too long, and due special treatment and priority services cannot be provided, affecting customer satisfaction and resulting in the loss of high-value customers and important order customers. Some member customers often place orders and have high time requirements. How to effectively identify these high-value customers and important orders and make reasonable scheduling arrangements has become a key issue in improving customer satisfaction and loyalty;

[0004] In view of the above technical deficiencies, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to: by obtaining medical aesthetic skincare product consumption data of medical aesthetic personnel, and then using data mining technology to identify high-value customers and important orders, giving priority consideration during dynamic scheduling, and selecting corresponding drivers for distribution, in order to improve customer satisfaction and loyalty.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A dynamic driver task scheduling method and system based on heuristic optimization, including the following specific steps:

[0007] S1. Establish a membership customer system repository with limited conditions, and obtain medical aesthetic consumption history records according to the repository, generate a visual report of the consumption times and consumption amounts marked separately for each customer, and obtain the customer consumption level by analyzing the visual report, and classify the customers into first-level high-value customers and second-level important order customers;

[0008] S2. In the process of task scheduling and management of drivers through the general service platform, the range of driver activities is recorded and obtained, and the basic information of drivers and delivery orders in the area is collected to generate a data set. Driver service satisfaction analysis is performed based on the data set to generate a satisfaction evaluation coefficient of driver delivery orders. The driver service level is defined for customers based on the satisfaction evaluation coefficient, and the service level is defined as first-level service driver, second-level service driver and third-level service driver according to the size of the satisfaction evaluation coefficient;

[0009] S3. When dispatching tasks for drivers, obtain real-time basic customer information, analyze the basic customer information to obtain the customer consumption level, and generate customer consumption level analysis results based on the customer consumption level;

[0010] S4. Based on the analysis results of the customer's consumption level, query the driver service level that meets the customer's consumption level, obtain the list of drivers of the corresponding driver service level, and conduct real-time dynamic driver search and matching. Through the real-time dynamics of the drivers, analyze the personnel matching degree, and intercept the personnel with the highest service satisfaction according to the matching degree for order allocation;

[0011] S5. Obtain the personnel information assigned to the order, generate dynamic driver task scheduling instructions through the general service platform, and transmit the real-time customer order information to the driver receiving end of the matched personnel.

[0012] Furthermore, the specific process of analyzing the visualization report in S1 is as follows:

[0013] Step 1: Based on the visualization report, obtain the total number of consumption times, consumption amount and consumption time of internal medical beauty consumption history records and make statistics;

[0014] Step 2: Set the time period corresponding to the consumption through the consumption time, and obtain the total number of consumption times and consumption amount of customers within the time period;

[0015] Step 3: Obtain the number of consumption times and the amount of consumption, and calculate the average amount of consumption generated by each customer for each medical beauty treatment, and generate a sorted set of the average amount of consumption of the customer based on the average amount of consumption;

[0016] Step 4: Get the total number of consumption times of each customer within the time period, and obtain the permutation set of consumption times based on the total number of consumption times of each customer.

[0017] Furthermore, the process of obtaining the customer consumption level is as follows:

[0018] S1. Based on the average consumption amount ranking set and the consumption frequency ranking set, the two are comprehensively calculated and analyzed to classify the customers into consumption levels to obtain a balanced consumption level;

[0019] S2. Obtain the average consumption amount ranking set and the consumption frequency arrangement set, and calculate according to the following formula:

[0020] The preset consumption amount is M, and the consumption frequency is N.

[0021] First, calculate the average value of the consumption amount:

[0022] Calculate the comprehensive intermediate value: where ε is the introduced balance adjustment coefficient, and its value is a number greater than zero and less than one, and J is the set hierarchical amount value;

[0023] S3. Generate the consumption level according to the calculated comprehensive intermediate value. The preset hierarchical consumption amounts are T1 and T2.

[0024] If X>T1, it is designated as a first-level high-value customer, and the basic customer information is archived with a hierarchical label;

[0025] If T1>X>T2, it is designated as a second-level important order, and the basic customer information is archived with a hierarchical label.

[0026] Furthermore, the process of designating the service level of important customers for drivers through the satisfaction evaluation coefficient is as follows:

[0027] Step 1: Obtain the internal customer service satisfaction analysis of the dataset generated by the drivers and delivery orders within a certain period according to the driver information in the affiliated area;

[0028] Step 2: Define customer satisfaction as a comprehensive index of the order on-time delivery rate, the cleanliness of medical beauty skin care products, and the integrity of the appearance shape of medical beauty skin care products, and optimize it by giving weights;

[0029] Step 3: Calculate the satisfaction evaluation coefficient through customer satisfaction:

[0030] where both α and β are given weight coefficients, and α+β = 1. is the on-time delivery rate, S is the number of orders delivered on time, Z is the total number of orders, q is the total number of evaluation items, and K is the project factor for evaluation;

[0031] Step 4: Preset y1, y2, and y3 for the evaluation coefficient through Y to generate the service level:

[0032] If Y≥y1, it is positioned as a first-level service driver, corresponding to high-value customers and important orders;

[0033] If y1>Y≥y2, it is positioned as a second-level service driver, corresponding to important orders;

[0034] If y2 > Y ≥ y3, it is positioned as a driver for level-three service, corresponding to ordinary orders.

[0035] Furthermore, the process of analyzing the customer consumption level based on the customer's basic information is as follows:

[0036] Through the set customer identification limit conditions, identify through the level markers to which the customer belongs, and then verify again through the home address and mobile phone number to determine whether the customer is a high-value customer and the customer order, and obtain the final order judgment result.

[0037] Furthermore, the process of analyzing the personnel matching degree through the driver's real-time dynamics is as follows:

[0038] S01. According to the analysis result of the customer consumption level, query the driver service level that meets the customer consumption level, obtain the list of driver personnel belonging to the driver service level, and conduct a specific analysis on the list of driver personnel;

[0039] S02. According to the list of driver personnel, obtain the real-time running dynamics of the driver personnel on the list, judge whether the driver is in the state of delivering goods, and initially exclude the driver personnel who are in the distribution service;

[0040] S03. Exclude those with too far a distance. According to the driver's real-time running status, identify the driver personnel whose distance between the order destination and the delivery place is too far, and exclude the driver personnel;

[0041] S04. By excluding the driver personnel in the above two situations, obtain the final list of driver personnel, and intercept the personnel with the highest service satisfaction for order allocation.

[0042] A dynamic driver task scheduling system based on heuristic optimization includes a total control service platform, a medical beauty information management module, a driver information management module, an order real-time acquisition module, a driver allocation module, and a task display module;

[0043] The medical beauty information management module is used to obtain the consumption data generated during the medical consumption process, and obtain the customer consumption level according to the consumption data;

[0044] The driver information management module is used to obtain the driver's basic information for service, including the driver's delivery order information, vehicle information, and delivery service satisfaction information, constituting the service level generated by the driver's order delivery during the medical consumption process;

[0045] The order real-time acquisition module is used to obtain the basic information of real-time orders, and identify whether they belong to important orders and high-value customers, and obtain the judgment and analysis results;

[0046] The driver allocation module is used to obtain the list of matched drivers based on the customer consumption level, and select the corresponding driver according to the driver matching degree for order allocation;

[0047] The task display module is used to obtain the driver allocation result and transfer the driver allocation result to the general service platform;

[0048] The general control service platform is used to generate an allocation instruction for the driver allocation result and transfer it to the driver receiving end, so as to realize the monitoring of the real-time dynamics of the drivers inside the platform and issue a task scheduling instruction.

[0049] Furthermore, it also includes a driver feedback module. The driver feedback module is used to make a response confirmation after receiving the task scheduling allocation instruction, set the driver response confirmation time. If the driver does not confirm within the response confirmation time, the task scheduling allocation instruction will be withdrawn, and the general service desk will re-allocate it to other drivers on the platform.

[0050] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are:

[0051] This dynamic driver task scheduling method based on heuristic optimization, by obtaining the consumption data of medical beauty personnel for medical beauty skin care products, and then using data mining technology to identify high-value customers and important orders, can better understand the preferences and needs of customers, provide products and services that better meet their personalized needs, and at the same time match the corresponding driver delivery personnel, can provide better service needs for customers, give priority consideration during distribution scheduling, so as to improve customer satisfaction and loyalty. At the same time, by optimizing order processing and customer management, the customer loss rate during order delivery can be reduced, the customer repurchase rate can be increased. High-value customers usually have higher consumption ability and loyalty, and optimizing order processing can reduce operating costs and increase profit margins. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 Shows the schematic structural diagram of the method steps of the present invention;

[0053] Figure 2 Shows the schematic structural diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] Embodiment 1:

[0056] As Figure 1 shown, a dynamic driver task scheduling method based on heuristic optimization includes the following specific steps:

[0057] S1. During the process of task scheduling and management of drivers through the general service platform, delimit the range area where the drivers are active, and generate a visual report of the consumption times and consumption amounts of each customer marked separately based on the medical aesthetic consumption history records. By analyzing the visual report, obtain the customer consumption level;

[0058] S2. Obtain the range area where the drivers are active, collect the basic information of the drivers and delivery orders within the area to generate a data set, and conduct an analysis of the driver service satisfaction based on the data set to generate a satisfaction evaluation coefficient for the driver's delivery orders. Delimit the service level of important customers for the driver through the satisfaction evaluation coefficient;

[0059] S3. When scheduling tasks for the driver, initially identify the basic information of the customer, and judge the area where the customer belongs and whether the customer is a high-value customer and an important order to obtain a judgment and analysis result;

[0060] S4. Obtain the judgment and analysis result of the customer order, perform real-time dynamic driver search and matching according to the judgment and analysis result of the customer order, and conduct an analysis of the personnel matching degree through the real-time dynamics of the driver to obtain matching personnel that meet the order requirements;

[0061] S5. Obtain the personnel information allocated for the order, and generate a dynamic driver task scheduling and allocation instruction through the general service platform, and transmit the real-time customer order information to the driver receiving end of the matched personnel.

[0062] The specific process of analyzing the visual report in S1 is as follows:

[0063] Step 1: According to the visual report, obtain the total consumption times, consumption amounts, and consumption times of the internal medical aesthetic consumption history records, and conduct statistics;

[0064] Step 2: Set the corresponding time period for consumption through the consumption time, and obtain the total consumption times and consumption amounts of the customers within the time period;

[0065] Step 3: Obtain the consumption times and consumption amounts, and calculate the average consumption amount generated by each customer for each medical aesthetic session. Generate a sorted set of the average consumption amounts of the customers according to the average consumption amount;

[0066] Step 4: Obtain the total consumption times of each customer within the time period, and obtain a permutation set of the consumption times according to the total consumption times of each customer.

[0067] The process of obtaining the customer consumption level is as follows:

[0068] S1. Based on the average consumption amount ranking set and the consumption frequency ranking set, the two are comprehensively calculated and analyzed to classify the customers into consumption levels to obtain a balanced consumption level;

[0069] S2. Obtain the average consumption amount sorting set and the consumption frequency sorting set, and calculate according to the following formula:

[0070] The preset consumption amount is M, the consumption times is N,

[0071] First, calculate the mean of the consumption amount:

[0072] Calculate the composite median value: Where ε is the introduced balance adjustment coefficient, which is a value greater than zero and less than one, and J is the set level amount value;

[0073] S3. Generate consumption levels based on the calculated comprehensive intermediate value, with the preset consumption limits of levels being T1 and T2.

[0074] If X>T1, the customer is classified as a high-value customer at level 1, and the customer’s basic information is graded and archived;

[0075] If T1>X>T2, the order is classified as an important order at level 2 and the basic customer information is marked and archived.

[0076] The process of defining the service level of important customers for drivers through satisfaction evaluation coefficient is as follows:

[0077] Step 1: Obtain the internal customer service satisfaction analysis of the data set generated by drivers and delivery orders in the area within a period of time based on the driver information;

[0078] Step 2: Define customer satisfaction as a comprehensive indicator of order delivery rate on time, cleanliness of medical and beauty skin care products, and appearance and shape completeness of medical and beauty skin care products, and give weights for optimization;

[0079] Step 3: Calculate the satisfaction evaluation coefficient based on customer satisfaction:

[0080] Where α and β are assigned weight coefficients, and α+β=1, is the on-time delivery rate, S is the number of orders delivered on time, Z is the total number of orders, q is the total number of evaluation projects, and K is the project factor to be evaluated;

[0081] Step 4: Use Y to preset the evaluation coefficients y1, y2, y3 and generate the service level:

[0082] If Y≥y1, then the driver is positioned as a first-level service driver, corresponding to high-value customers and important orders;

[0083] If y1 > Y ≥ y2, it is positioned as a second-level service driver, corresponding to important orders;

[0084] If y2 > Y ≥ y3, it is positioned as a third-level service driver, corresponding to ordinary orders.

[0085] The process of obtaining the customer consumption level by analyzing the basic customer information includes the following:

[0086] Through the set customer identification limit conditions, identify through the level marks of the customers to which they belong, and then verify again through the home address and mobile phone number to determine whether the customer belongs to high-value customers and customer orders, and obtain the final order judgment result.

[0087] 1. According to the dynamic driver task scheduling method based on heuristic optimization described in claim 1, characterized in that the process of analyzing the personnel matching degree through the real-time dynamics of the driver is as follows:

[0088] S01. According to the analysis result of the customer consumption level, query the driver service level that meets the customer consumption level, obtain the list of driver personnel belonging to the driver service level, and conduct a specific analysis on the list of driver personnel;

[0089] S02. According to the list of driver personnel, obtain the real-time running dynamics of the driver personnel on the list, judge whether the driver is in the state of delivering goods, and initially exclude the driver personnel who are in the distribution service;

[0090] S03. Exclude those with too far a distance. According to the real-time running state of the driver, identify the driver personnel whose distance between the order destination and the delivery place is too far, and exclude the driver personnel;

[0091] S04. By excluding the driver personnel in the above two situations, obtain the final list of driver personnel, and intercept the personnel with the highest service satisfaction for order allocation.

[0092] Embodiment 2:

[0093] As Figure 2 shown, a dynamic driver task scheduling system based on heuristic optimization includes a total control service platform, a medical beauty information management module, a driver information management module, an order real-time acquisition module, a driver allocation module, and a task display module;

[0094] The medical beauty information management module is used to obtain the consumption data generated during the medical consumption process and obtain the customer consumption level according to the consumption data;

[0095] The driver information management module is used to obtain the basic driver information for services, including driver delivery order information, vehicle information, and delivery service satisfaction information, which constitute the service level generated by the driver order delivery in the medical consumption process;

[0096] The real-time order acquisition module is used to obtain the basic information of real-time orders and identify whether they belong to important orders and high-value customers, and obtain judgment and analysis results;

[0097] The driver assignment module is used to obtain a list of matched driver personnel based on the customer consumption level, and select the corresponding driver personnel for order assignment according to the driver matching degree;

[0098] The task display module is used to obtain the driver personnel assignment result and transfer the driver personnel assignment result to the general service platform;

[0099] The general control service platform is used to generate an assignment instruction for the driver assignment result and transfer it to the driver receiving end, so as to realize the monitoring of the real-time dynamics of the drivers inside the platform and issue task scheduling instructions.

[0100] It further includes a driver feedback module. The driver feedback module is used to make a response confirmation after receiving the task scheduling assignment instruction, set the driver response confirmation time. If the driver does not confirm within the response confirmation time, the task scheduling assignment instruction will be withdrawn, and the general service desk will reassign it to other drivers on the platform.

[0101] The setting of the range and the size of the threshold is for the convenience of comparison. Regarding the size of the threshold, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameters and the quantified values.

[0102] The above formulas are all dimensionless and take their numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to get a formula that is closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation;

[0103] In the two embodiments provided in this application, it should be understood that the disclosed methods and systems can be implemented in other ways; for example, the method embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed; another point, the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces, and the indirect coupling or communication connection of devices or modules can be in an electrical, mechanical or other forms;

[0104] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention should cover within the protection scope of the present invention any equivalent substitution or change made according to the technical solution and inventive concept of the present invention.

Claims

1. A dynamic driver task scheduling method based on heuristic optimization, characterized in that: The specific steps include: S1. Establish a membership customer system repository with limited conditions, and obtain the medical beauty consumption history records based on the repository, generate a visual report of the number of consumptions and the amount of consumption for each customer with individual markings, and analyze the visual report to obtain the customer consumption level, and classify the customers into first-level high-value customers and second-level important order customers; S2. In the process of task scheduling and management of drivers through the general service platform, the range of driver activities is recorded and obtained, and the basic information of drivers and delivery orders in the area is collected to generate a data set. Driver service satisfaction analysis is performed based on the data set to generate a satisfaction evaluation coefficient of driver delivery orders. The driver service level is defined for customers based on the satisfaction evaluation coefficient, and the service level is defined as first-level service driver, second-level service driver and third-level service driver according to the size of the satisfaction evaluation coefficient; S3. When dispatching tasks for drivers, obtain real-time basic customer information, analyze the basic customer information to obtain the customer consumption level, and generate customer consumption level analysis results based on the customer consumption level; S4. Based on the analysis results of the customer's consumption level, query the driver service level that meets the customer's consumption level, obtain the list of drivers of the corresponding driver service level, and conduct real-time dynamic driver search and matching. Through the real-time dynamics of the drivers, analyze the personnel matching degree, and intercept the personnel with the highest service satisfaction according to the matching degree for order allocation; S5. Obtain the personnel information assigned to the order, generate dynamic driver task scheduling assignment instructions through the general service platform, and transmit the real-time customer order information to the driver receiving end of the matched personnel.

2. The dynamic driver task scheduling method based on heuristic optimization according to claim 1 is characterized in that: The specific process of analyzing the visual report in S1 is as follows: Step 1: Based on the visualization report, obtain the total number of consumption times, consumption amount and consumption time of internal medical beauty consumption history records and make statistics; Step 2: Set the time period corresponding to the consumption through the consumption time, and obtain the total number of consumption times and consumption amount of customers within the time period; Step 3: Obtain the number of consumption times and the amount of consumption, and calculate the average amount of consumption generated by each customer for each medical beauty treatment, and generate a sorted set of the average amount of consumption of the customer based on the average amount of consumption; Step 4: Get the total number of consumption times of each customer within the time period, and obtain the permutation set of consumption times based on the total number of consumption times of each customer.

3. The dynamic driver task scheduling method based on heuristic optimization according to claim 2 is characterized in that: The process of obtaining the customer consumption level is as follows: S1. Based on the average consumption amount ranking set and the consumption frequency ranking set, the two are comprehensively calculated and analyzed to classify the customers into consumption levels to obtain a balanced consumption level; S2. Obtain the average consumption amount sorting set and the consumption frequency sorting set, and calculate according to the following formula: The preset consumption amount is M, the consumption times is N, First, calculate the mean of the consumption amount: Calculate the composite median value: Where ε is the introduced balance adjustment coefficient, which is a value greater than zero and less than one, and J is the set level amount value; S3. Generate consumption levels based on the calculated comprehensive intermediate value, with the preset consumption limits of levels being T1 and T2. If X>T1, the customer is classified as a high-value customer at level 1, and the customer’s basic information is graded and archived; If T1>X>T2, the order is classified as an important order at level 2 and the basic customer information is marked and archived.

4. The dynamic driver task scheduling method based on heuristic optimization according to claim 3 is characterized in that: The process of defining the service level of important customers for drivers through satisfaction evaluation coefficient is as follows: Step 1: Obtain the internal customer service satisfaction analysis of the data set generated by drivers and delivery orders in the area within a period of time based on the driver information; Step 2: Define customer satisfaction as a comprehensive indicator of order delivery rate on time, cleanliness of medical and beauty skin care products, and appearance and shape completeness of medical and beauty skin care products, and give weights for optimization; Step 3: Calculate the satisfaction evaluation coefficient based on customer satisfaction: Where α and β are assigned weight coefficients, and α+β=1, is the on-time delivery rate, S is the number of orders delivered on time, Z is the total number of orders, q is the total number of evaluation projects, and K is the project factor to be evaluated; Step 4: Use Y to preset the evaluation coefficients y1, y2, y3 and generate the service level: If Y≥y1, then the driver is positioned as a first-level service driver, corresponding to high-value customers and important orders; If y1>Y≥y2, then the driver is positioned as a second-level service driver, corresponding to important orders; If y2>Y≥y3, the driver is positioned as a level 3 service driver, corresponding to ordinary orders.

5. The dynamic driver task scheduling method based on heuristic optimization according to claim 1 is characterized in that: Analyzing the customer's basic information to obtain the customer's consumption level includes the following processes: By setting customer identification conditions, identifying the customer through the customer's level mark, and then re-verifying through the home address and mobile phone number, it is determined whether the customer is a high-value customer and the customer order is determined to obtain the final order judgment result.

6. The dynamic driver task scheduling method based on heuristic optimization according to claim 5 is characterized in that: The process of analyzing the degree of personnel matching through the real-time dynamics of the driver is as follows: S01. According to the analysis result of the customer consumption level, query the driver service level that meets the customer consumption level, obtain the list of drivers of the corresponding driver service level, and conduct specific analysis on the list of drivers; S02. According to the list of drivers, obtain the real-time operation status of the drivers on the list, determine whether the drivers are in the delivery state, and preliminarily exclude the drivers who are in the delivery service; S03: Exclusion of drivers whose order destination is too far from the delivery location based on their real-time operating status, and exclusion of drivers; S04. By excluding drivers in the above two situations, a final list of drivers is obtained, and drivers with the highest service satisfaction are selected for order allocation.

7. The dynamic driver task scheduling system based on heuristic optimization according to claim 1 is characterized in that: It includes the general service platform, medical beauty information management module, driver information management module, real-time order acquisition module, driver allocation module, and task display module; The medical beauty information management module is used to obtain consumption data generated during the medical consumption process and obtain the customer consumption level based on the consumption data; The driver information management module is used to obtain basic information of the driver for service, including driver delivery order information, vehicle information, and delivery service satisfaction information, which constitutes the service level generated by the driver's order delivery during the medical consumption process; The order real-time acquisition module is used to obtain basic information of real-time orders, identify whether they belong to important orders and high-value customers, and obtain judgment and analysis results; The driver allocation module is used to obtain a list of drivers that match the customer's consumption level, and select the corresponding driver to allocate orders according to the driver's matching degree; The task display module is used to obtain the driver personnel allocation result and transmit the driver personnel allocation result to the general service platform; The general service platform is used to generate allocation instructions based on the driver allocation results and transmit them to the driver receiving end, so as to realize the real-time dynamic issuance of task scheduling instructions to the drivers within the monitoring platform.

8. The dynamic driver task scheduling system based on heuristic optimization according to claim 1 is characterized in that: It also includes a driver feedback module, which is used to respond and confirm after receiving the task scheduling assignment instruction and set the driver's response confirmation time. If the driver does not confirm within the response confirmation time, the task scheduling assignment instruction will be withdrawn and the general service desk will reallocate it to other drivers on the platform.

Images