Medical instrument 020 sales link visualization system

Abstract

The invention belongs to the technical field of medical instrument sales supervision, and particularly relates to a medical instrument 020 sales link visualization system which comprises a user management module, an order management module, a sales monitoring analysis module, an inventory monitoring analysis module, a management evaluation module and a visualization interface module. Corresponding purchasing users are divided into high-quality users and low-quality users through the user management module, the sales monitoring analysis module accurately feeds back medical instrument sales supervision performance through analysis, and the inventory monitoring analysis module accurately feeds back medical instrument inventory supervision performance through analysis. The management evaluation module comprehensively evaluates the management condition of a medical apparatus merchant based on the medical apparatus sales supervision performance and the medical apparatus inventory supervision performance, facilitates the subsequent management planning of the medical apparatus merchant, guarantees the rationality and scientificity of a subsequent management scheme, and is high in intelligent degree.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device sales supervision, and in particular to a medical device 020 sales link visualization system. Background Art

[0002] Medical devices refer to instruments, equipment, appliances, in vitro diagnostic reagents and calibrators, materials and other similar or related items that are used directly or indirectly on the human body. Medical devices are one of the three pillars of medical care, along with drugs and diagnostic and treatment technologies. Their development level and quality are directly related to people's health and life safety.

[0003] With the rapid development of medical technology and increasingly fierce market competition, efficient management and visualization of medical device sales links have become the key to improving the competitiveness of enterprises. At present, it is difficult to accurately feedback the performance of medical device sales supervision and inventory supervision, and it is impossible to comprehensively evaluate the management status of medical device merchants, which is not conducive to the subsequent management planning of medical device merchants and has a low degree of intelligence;

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

[0005] The purpose of the present invention is to provide a medical device 020 sales link visualization system, which solves the problem that the prior art is difficult to accurately feedback the medical device sales supervision performance and inventory supervision performance, and cannot comprehensively evaluate the management status of medical device merchants, which is not conducive to the subsequent management planning of medical device merchants and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A medical device 020 sales link visualization system, including a user management module, an order management module, a sales monitoring and analysis module, an inventory monitoring and analysis module, a management evaluation module and a visualization interface module;

[0008] The user management module obtains all purchasing users of the medical device merchant, analyzes the historical purchasing performance of the corresponding purchasing users, marks the corresponding purchasing users as high-quality users or low-quality users through analysis, and sends the marking information of all purchasing users to the visualization interface module;

[0009] The order management module is used to manage the entire process of medical device sales orders of medical device merchants, including order receipt, processing, delivery and tracking, and supports real-time query of order status, and sends the order information of medical device sales orders to the visual interface module;

[0010] The sales monitoring and analysis module is used to monitor and analyze the sales management status of medical device merchants during the detection period, assign sales supervision symbols XP-1 or XP-2 through analysis, and send the sales supervision symbols XP-1 or XP-2 to the management evaluation module;

[0011] The inventory monitoring and analysis module is used to monitor and analyze the inventory management status of medical device merchants during the inspection period, assign the inventory supervision symbol KP-1 or KP-2 through analysis, and send the inventory supervision symbol KP-1 or KP-2 to the management evaluation module;

[0012] The management evaluation module receives sales supervision symbols and inventory supervision symbols. If XP-2∩KP-2 is obtained, a management evaluation qualified signal is generated. In other cases, a management evaluation abnormal signal is generated, and the management evaluation qualified signal or the management evaluation abnormal signal is sent to the visualization interface module.

[0013] Furthermore, the specific analysis process of the user management module is as follows:

[0014] The first cooperation moment between the corresponding purchasing user and the medical device merchant is collected, and the interval between the first cooperation moment and the current moment is marked as the total cooperation time value; the number of purchases and the total purchase amount of the corresponding purchasing user at the medical device merchant in the historical stage are collected and marked as the medical device purchase frequency value and the medical device purchase amount value; and the ratio of the number of returns of the corresponding purchasing user in the historical stage to the medical device purchase frequency value is marked as the medical device return inspection value;

[0015] The user quality analysis value is obtained by numerically calculating the total cooperation time value, medical device purchase frequency value, medical device purchase amount value and medical device return inspection value, and the user quality analysis value is numerically compared with the preset user quality analysis threshold. If the user quality analysis value exceeds the preset user quality analysis threshold, the corresponding purchasing user will be marked as a high-quality user; if the user quality analysis value does not exceed the preset user quality analysis threshold, the corresponding purchasing user will be marked as a low-quality user.

[0016] Furthermore, the specific operation process of the sales monitoring and analysis module includes:

[0017] Obtain all sales orders of medical device merchants during the detection period to obtain the total number of sales orders, mark the time that the actual arrival time of the corresponding sales order exceeds the corresponding preset arrival time as the arrival timeout value, and collect the arrival loss value of the corresponding sales order, compare the arrival timeout value and the arrival loss value with the preset arrival timeout threshold and the preset arrival loss threshold respectively, if the arrival timeout value or the arrival loss value exceeds the corresponding preset threshold, mark the corresponding sales order as a supervision abnormality order;

[0018] The number of regulatory abnormal orders corresponding to high-quality users and the number of regulatory abnormal orders corresponding to low-quality users are marked as high-impact order values ​​and low-impact order values, respectively; and the complaint value is obtained, and the sales monitoring and analysis value is obtained by numerically calculating the total number of sales orders, the high-impact order value, the low-impact order value and the complaint value; the sales monitoring and analysis value is numerically compared with the preset sales monitoring and analysis threshold, if the sales monitoring and analysis value exceeds the preset sales monitoring and analysis threshold, the sales supervision symbol XP-1 is assigned; if the sales monitoring and analysis value does not exceed the preset sales monitoring and analysis threshold, the sales supervision symbol XP-2 is assigned.

[0019] Furthermore, the sales monitoring and analysis module is communicatively connected to the complaint response detection module, and the complaint response detection module analyzes the complaint response status of the medical device merchants during the detection period, obtains the complaint response value through analysis, and sends the complaint response value to the sales monitoring and analysis module.

[0020] Furthermore, the specific analysis process of the complaint response detection module is as follows:

[0021] Obtain all sales complaints received by medical device merchants during the testing period, and mark the number of sales complaints corresponding to high-quality users and the number of sales complaints corresponding to low-quality users as high-impact complaint values ​​and low-impact complaint values, respectively;

[0022] The time taken by the medical device merchant to resolve the corresponding sales complaint is marked as the complaint response time. If the corresponding sales complaint corresponds to a high-quality user, a preset complaint response time threshold NK1 is assigned. If the corresponding sales complaint corresponds to a low-quality user, a preset complaint response time threshold NK2 is assigned, and NK2>NK1>0.

[0023] The number of sales complaints whose complaint response time exceeds the corresponding preset complaint response time threshold during the detection period is obtained and marked as complaint response outliers. The ratio of the complaint response time to the corresponding preset complaint response time threshold is marked as the complaint response time value. The average of all complaint response time values ​​during the detection period is calculated to obtain the complaint response time value.

[0024] The complaint response value is obtained by numerically calculating the high-impact complaint value, low-impact complaint value, complaint response abnormal value and complaint response time analysis value.

[0025] Furthermore, the specific operation process of the inventory monitoring and analysis module includes:

[0026] Obtain the types of all medical devices sold by medical device merchants, mark the corresponding types of medical devices as target objects i, and i is a natural number greater than 1; collect the real-time inventory of target object i, if target object i is an easy-to-sell object, assign a preset real-time inventory threshold GY1, if target object i is a slow-selling object, assign a preset real-time inventory threshold GY2 to it, and GY1>GY2>0; compare the real-time inventory of target object i with the corresponding preset real-time inventory threshold, if the real-time inventory does not exceed the corresponding preset real-time inventory threshold, judge that target object i is in an insufficient inventory state;

[0027] The total duration of the target object i in the insufficient inventory state during the detection period is obtained and marked as the abnormal inventory time value, and the single duration of the corresponding insufficient inventory state is numerically compared with the preset single duration threshold, and the number of occurrences of the single duration of the target object i in the insufficient inventory state during the detection period exceeding the preset single duration threshold is marked as the abnormal inventory high value;

[0028] The inventory anomaly value and the abnormal inventory high value are numerically compared with the preset inventory anomaly threshold and the preset inventory abnormal high value respectively. If the inventory anomaly value or the abnormal inventory high value exceeds the corresponding preset threshold, the target object i is marked as an inventory management anomaly object;

[0029] The quantity ratio of the inventory abnormal objects during the detection period is obtained and marked as the inventory abnormal detection value, and the inventory abnormality values ​​of all kinds of medical devices are averaged to obtain the inventory abnormality value, and the abnormal high inventory values ​​of all kinds of medical devices are averaged to obtain the abnormal high inventory value;

[0030] The inventory monitoring and analysis value is obtained by numerically calculating the inventory management anomaly detection value, inventory abnormality value and inventory abnormal high table value, and the inventory monitoring and analysis value is numerically compared with the preset inventory monitoring and analysis threshold. If the inventory monitoring and analysis value exceeds the preset inventory monitoring and analysis threshold, the inventory supervision symbol KP-1 is assigned; if the inventory monitoring and analysis value does not exceed the preset inventory monitoring and analysis threshold, the inventory supervision symbol KP-2 is assigned.

[0031] Furthermore, the inventory monitoring and analysis module is communicatively connected to the medical device classification module, and the medical device classification module analyzes the sales performance of the target object i, marks the target object i as a salable object or a slow-selling object through the analysis, and sends the marking information of the target object i to the inventory monitoring and analysis module.

[0032] Furthermore, the specific analysis process of the medical device division module is as follows:

[0033] Several analysis periods are set during the detection period, the sales volume of the target object i during the corresponding analysis period is collected and marked as the period sales efficiency value, the average of all sales efficiency values ​​of the target object i during the detection period is calculated to obtain the sales analysis value, and the period sales efficiency value is numerically compared with the preset period sales efficiency threshold. If the period sales efficiency value exceeds the preset period sales efficiency threshold, the corresponding analysis period is marked as a hot-selling period;

[0034] Obtain the number of best-selling periods corresponding to target object i during the detection period and mark it as the best-selling value, and

[0035] The sales efficiency value of the time period with the smallest value is marked as the sales bottom value; the medical device sales evaluation value is obtained by numerically calculating the sales analysis value, the sales excellence value and the sales bottom value, and the medical device sales evaluation value is numerically compared with the preset medical device sales evaluation threshold; if the medical device sales evaluation value exceeds the preset medical device sales evaluation threshold, the target object i is marked as an easy-to-sell object; if the medical device sales evaluation value does not exceed the preset medical device sales evaluation threshold, the target object i is marked as a slow-selling object.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. In the present invention, the corresponding purchasing users are divided into high-quality users and low-quality users through the user management module, so as to facilitate the adoption of matching sales service plans for customers of different levels. The sales monitoring and analysis module accurately feeds back the sales supervision performance of medical devices through analysis, and the inventory monitoring and analysis module accurately feeds back the inventory supervision performance of medical devices through analysis. The management evaluation module comprehensively evaluates the management status of medical device merchants based on the sales supervision performance of medical devices and the inventory supervision performance of medical devices, which is conducive to the subsequent management planning of medical device merchants, and ensures the rationality and scientificity of the subsequent management plan, with a high degree of intelligence;

[0038] 2. In the present invention, the complaint response status of medical device merchants is analyzed through the complaint response detection module to accurately feedback the complaint management performance of medical device merchants during the detection period, provide data support for the analysis process of the sales monitoring and analysis module to improve the accuracy of its analysis results, and divide the sales performance of all types of medical devices one by one through the medical device classification module to determine the easy-to-sell objects and slow-moving objects, and provide information support for the inventory monitoring and analysis module to ensure the accuracy of its analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0040] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0041] Figure 2This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1: Figure 1 As shown, a medical device 020 sales link visualization system proposed by the present invention includes a user management module, an order management module, a sales monitoring and analysis module, an inventory monitoring and analysis module, a management evaluation module and a visualization interface module;

[0044] Among them, the user management module obtains all purchasing users of medical device merchants, centrally manages customer information, including basic customer information, purchase records, etc., analyzes the historical purchase performance of the corresponding purchasing users, marks the corresponding purchasing users as high-quality users or low-quality users through analysis, and sends the marking information of all purchasing users to the visual interface module, so as to facilitate the adoption of matching sales service plans for customers of different levels, which is conducive to customer management; the specific analysis process of the user management module is as follows:

[0045] The first cooperation moment between the corresponding purchasing user and the medical device merchant is collected, and the interval between the first cooperation moment and the current moment is marked as the total cooperation time value; the number of purchases and the total purchase amount of the corresponding purchasing user at the medical device merchant in the historical stage are collected and marked as the medical device purchase frequency value and the medical device purchase amount value; and the ratio of the number of returns of the corresponding purchasing user in the historical stage to the medical device purchase frequency value is marked as the medical device return inspection value;

[0046] By formula The total cooperation time value YN, the medical device purchase frequency value YK, the medical device purchase amount value YB and the medical device return inspection value YT are numerically calculated to obtain the user quality analysis value YP; wherein, a1, a2, a3, a4 are preset proportional coefficients, a4>a2>a3>a1>0; and the larger the value of the user quality analysis value YP, the better the cooperation performance with the corresponding purchasing user in the historical stage, and the higher the level of the corresponding purchasing user;

[0047] The user quality analysis value YP is numerically compared with the preset user quality analysis threshold. If the user quality analysis value YP exceeds the preset user quality analysis threshold, it indicates that the cooperation performance with the corresponding purchasing user in the historical stage is good, and the corresponding purchasing user is marked as a high-quality user; if the user quality analysis value YP does not exceed the preset user quality analysis threshold, it indicates that the cooperation performance with the corresponding purchasing user in the historical stage is poor, and the corresponding purchasing user is marked as a low-quality user.

[0048] The order management module is used to manage the entire process of medical device sales orders of medical device merchants, including order receipt, processing, delivery and tracking, and supports functions such as real-time query of order status. The order information of medical device sales orders is sent to the visual interface module, which is conducive to order information query and order tracing.

[0049] The sales monitoring and analysis module is used to monitor and analyze the medical device sales management status of medical device merchants during the inspection period. Through analysis, the sales supervision symbol XP-1 or XP-2 is assigned, and the sales supervision symbol XP-1 or XP-2 is sent to the management evaluation module. It can not only accurately feedback the medical device sales supervision performance of medical device merchants during the inspection period, but also provide information support for the analysis process of the management evaluation module to ensure the accuracy of its analysis results. The specific operation process of the sales monitoring and analysis module is as follows:

[0050] All sales orders of medical device merchants within the detection period are obtained to obtain the total number of sales orders, and the time that the actual arrival time of the corresponding sales order exceeds the corresponding preset arrival time is marked as the arrival timeout value, wherein the larger the value of the arrival timeout value is, the more delayed the arrival of the corresponding sales order is; and the arrival loss value of the corresponding sales order (i.e., the data value of the total amount of damaged medical devices in the corresponding sales order upon arrival) is collected;

[0051] The arrival timeout value and the arrival loss value are numerically compared with the preset arrival timeout threshold and the preset arrival loss threshold, respectively. If the arrival timeout value or the arrival loss value exceeds the corresponding preset threshold, it indicates that the logistics transportation condition for the corresponding sales order is poor, and the corresponding sales order is marked as a regulatory abnormality order; and the complaint table value is obtained, and the number of regulatory abnormality orders corresponding to high-quality users and the number of regulatory abnormality orders corresponding to low-quality users are marked as high-impact order values ​​and low-impact order values, respectively;

[0052] By formula The total number of sales orders LK, the high-impact order value LS, the low-impact order value LP and the complaint report value LY are numerically calculated to obtain the sales monitoring and analysis value LW; wherein, sq1, sq2, sq3, and sq4 are preset proportional coefficients, sq2>sq3>sq4>sq1>0; and, the larger the value of the sales monitoring and analysis value LW, the worse the overall performance of medical device sales supervision during the detection period; the sales monitoring and analysis value LW is numerically compared with the preset sales monitoring and analysis threshold value, if the sales monitoring and analysis value LW exceeds the preset sales monitoring and analysis threshold value, indicating that the overall performance of medical device sales supervision during the detection period is poor, then the sales supervision symbol XP-1 is assigned; if the sales monitoring and analysis value LW does not exceed the preset sales monitoring and analysis threshold value, indicating that the overall performance of medical device sales supervision during the detection period is good, then the sales supervision symbol XP-2 is assigned.

[0053] The inventory monitoring and analysis module monitors and analyzes the inventory management status of medical device merchants during the inspection period, assigns inventory supervision symbols KP-1 or KP-2 through analysis, and sends the inventory supervision symbols KP-1 or KP-2 to the management evaluation module. It can not only accurately feedback the medical device merchants' medical device inventory supervision performance during the inspection period, but also provide information support for the analysis process of the management evaluation module, further ensuring the accuracy of its analysis results; the specific operation process of the inventory monitoring and analysis module is as follows:

[0054] The types of all medical devices sold by medical device merchants are obtained, and the medical devices of the corresponding types are marked as target objects i, where i is a natural number greater than 1; the real-time inventory of target object i is collected, and if target object i is an easy-to-sell object, a preset real-time inventory threshold GY1 is assigned to it; if target object i is a slow-selling object, a preset real-time inventory threshold GY2 is assigned to it, and GY1>GY2>0. By setting appropriate preset real-time inventory thresholds for medical devices with different sales performances, the inventory status analysis results of the corresponding types of medical devices are made more accurate;

[0055] Compare the real-time inventory quantity of the target object i with the corresponding preset real-time inventory quantity threshold value. If the real-time inventory quantity does not exceed the corresponding preset real-time inventory quantity threshold value, it is determined that the target object i is in an insufficient inventory state.

[0056] The total duration of the target object i in the insufficient inventory state during the detection period is obtained and marked as the abnormal inventory time value, and the single duration of the corresponding insufficient inventory state is numerically compared with the preset single duration threshold, and the number of occurrences of the single duration of the target object i in the insufficient inventory state during the detection period exceeding the preset single duration threshold is marked as the abnormal inventory high value;

[0057] The inventory anomaly value and the abnormal inventory high value are numerically compared with the preset inventory anomaly threshold and the preset inventory abnormal high value. If the inventory anomaly value or the abnormal inventory high value exceeds the corresponding preset threshold, it indicates that the inventory supervision performance of the target object i during the detection period is poor, and the target object i is marked as an inventory management anomaly object;

[0058] The number ratio of inventory abnormal objects during the detection period (i.e., the ratio of the number of inventory abnormal objects to the number of medical device types) is obtained and marked as the inventory abnormal detection value, and the inventory abnormality values ​​of all types of medical devices are averaged to obtain the inventory abnormality value, and the abnormal high inventory values ​​of all types of medical devices are averaged to obtain the abnormal high inventory value;

[0059] The inventory monitoring analysis value GW is obtained by numerically calculating the inventory management abnormality detection value GM, the inventory abnormality value GY and the inventory abnormal high table value GX through the formula GW=qk1*GM+(qk2*GY+qk3*GX) / qk1; wherein qk1, qk2 and qk3 are preset proportional coefficients, qk1>qk3>qk2>0; and the larger the value of the inventory monitoring analysis value GW is, the worse the inventory supervision performance of the medical device merchant during the detection period is;

[0060] The inventory monitoring and analysis value GW is numerically compared with the preset inventory monitoring and analysis threshold. If the inventory monitoring and analysis value GW exceeds the preset inventory monitoring and analysis threshold, indicating that the inventory supervision performance of the medical device merchant during the detection period is poor, the inventory supervision symbol KP-1 is assigned; if the inventory monitoring and analysis value GW does not exceed the preset inventory monitoring and analysis threshold, indicating that the inventory supervision performance of the medical device merchant during the detection period is good, the inventory supervision symbol KP-2 is assigned.

[0061] The management evaluation module receives sales supervision symbols and inventory supervision symbols. If XP-2∩KP-2 is obtained, it indicates that the management performance of medical device merchants during the inspection period is generally good, and it is necessary to strengthen various aspects of supervision in the future. In this case, a management evaluation qualified signal is generated. The rest of the cases (including XP-1∩KP-1, XP-1∩KP-2 and XP-2∩KP-1) indicate that the management performance of medical device merchants during the inspection period is generally poor. In this case, a management evaluation abnormality signal is generated, and the management evaluation qualified signal or the management evaluation abnormality signal is sent to the visualization interface module. When the visualization interface module receives the management evaluation abnormality signal, it issues an early warning and promptly reminds the back-end personnel, which is conducive to the subsequent management planning of medical device merchants and ensures the rationality and scientificity of the subsequent management plan.

[0062] Embodiment 2: Figure 2As shown, the difference between this embodiment and the first embodiment is that the sales monitoring and analysis module is communicatively connected to the complaint response detection module, and the complaint response detection module analyzes the complaint response status of the medical device merchants during the detection period, obtains the complaint response value LY through analysis, and sends the complaint response value LY to the sales monitoring and analysis module, which can not only accurately feedback the complaint management status of the medical device merchants during the detection period, but also provide data support for the analysis process of the sales monitoring and analysis module, making its analysis more comprehensive and the analysis results more accurate; the specific analysis process of the complaint response detection module is as follows:

[0063] Obtain all sales complaints received by medical device merchants during the testing period, and mark the number of sales complaints corresponding to high-quality users and the number of sales complaints corresponding to low-quality users as high-impact complaint values ​​and low-impact complaint values, respectively;

[0064] The time taken by the medical device merchant to resolve the corresponding sales complaint is marked as the complaint response time. If the corresponding sales complaint corresponds to a high-quality user, a preset complaint response time threshold NK1 is assigned. If the corresponding sales complaint corresponds to a low-quality user, a preset complaint response time threshold NK2 is assigned, and NK2>NK1>0.

[0065] Compare the complaint response time of the corresponding sales complaint with the corresponding preset complaint response time threshold, obtain the number of sales complaints whose complaint response time exceeds the corresponding preset complaint response time threshold during the detection period and mark them as complaint response anomalies, mark the ratio of the complaint response time to the corresponding preset complaint response time threshold as the complaint response time value, and calculate the average of all complaint response time values ​​during the detection period to obtain the complaint response time value;

[0066] The high-impact complaint value XD, low-impact complaint value XW, complaint response abnormal value XM and complaint response time analysis value XS are numerically calculated using the formula LY = (c1*XD+c2*XW+c3*XM) / 2+c4*XS to obtain the complaint report value LY; wherein c1, c2, c3, and c4 are preset proportional coefficients, c4>c3>c1>c2>0; and, the larger the value of the complaint report value LY, the worse the complaint management status of the medical device merchant during the detection period.

[0067] Embodiment 3: Figure 2As shown, the difference between this embodiment and the first and second embodiments is that the inventory monitoring and analysis module is communicatively connected to the medical device classification module, the medical device classification module analyzes the sales performance of the target object i, marks the target object i as an easy-to-sell object or a slow-selling object through analysis, and sends the marking information of the target object i to the inventory monitoring and analysis module, which can not only reasonably analyze and accurately feedback the sales performance of various types of medical devices, but also provide information support for the inventory monitoring and analysis module to ensure the accuracy of its analysis results; the specific analysis process of the medical device classification module is as follows:

[0068] Several analysis periods are set during the detection period, the sales volume of the target object i during the corresponding analysis period is collected and marked as the period sales efficiency value, the average of all sales efficiency values ​​of the target object i during the detection period is calculated to obtain the sales analysis value, and the period sales efficiency value is numerically compared with the preset period sales efficiency threshold. If the period sales efficiency value exceeds the preset period sales efficiency threshold, it indicates that the target object i is relatively popular in the corresponding analysis period i, and the corresponding analysis period is marked as a popular period;

[0069] Obtain the number of best-selling periods corresponding to target object i during the detection period and mark it as the best-selling value, and

[0070] Mark the sales efficiency value of the period with the smallest value as the sales bottom value;

[0071] The sales analysis value WXi, the sales excellence value WYi and the sales base value WDi are numerically calculated by the formula WPi=(sm1*WXi+sm3*WDi) / 2+sm2*WYi to obtain the medical device sales evaluation value WPi; wherein sm1, sm2, sm3 are preset proportional coefficients, and the values ​​of sm1, sm2, sm3 are all positive numbers; and the larger the value of the medical device sales evaluation value WPi, the more popular the target object i is during the testing period, and the more it is necessary to strengthen inventory supervision and replenish inventory in time;

[0072] The medical device sales evaluation value WPi is numerically compared with the preset medical device sales evaluation threshold. If the medical device sales evaluation value WPi exceeds the preset medical device sales evaluation threshold, it indicates that the target object i is relatively popular during the detection period, and the target object i is marked as an easy-to-sell object; if the medical device sales evaluation value WPi does not exceed the preset medical device sales evaluation threshold, it indicates that the sales status of the target object i during the detection period is not good, and the target object i is marked as a slow-selling object.

[0073] The working principle of the present invention: when in use, the historical purchasing performance of the corresponding purchasing users is analyzed through the user management module to determine high-quality users and low-quality users, so as to facilitate the adoption of matching sales service plans for customers of different levels. The sales monitoring and analysis module monitors and analyzes the medical device sales management status of the medical device merchants during the detection period to accurately feedback the medical device sales supervision performance. The inventory monitoring and analysis module monitors and analyzes the medical device inventory management status of the medical device merchants during the detection period to accurately feedback the medical device inventory supervision performance. The management evaluation module comprehensively evaluates the management status of the medical device merchants based on the medical device sales supervision performance and the medical device inventory supervision performance, and generates a management evaluation qualified signal or a management evaluation abnormal signal, which is conducive to the medical device merchants to carry out subsequent management planning, ensure the rationality and scientificity of the subsequent management plan, and has a high degree of intelligence.

[0074] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A medical device 020 sales link visualization system, characterized in that: It includes user management module, order management module, sales monitoring and analysis module, inventory monitoring and analysis module, management evaluation module and visual interface module; The user management module obtains all purchasing users of the medical device merchant, analyzes the historical purchasing performance of the corresponding purchasing users, marks the corresponding purchasing users as high-quality users or low-quality users through analysis, and sends the marking information of all purchasing users to the visualization interface module; The order management module is used to manage the entire process of medical device sales orders of medical device merchants, including order receipt, processing, delivery and tracking, and supports real-time query of order status, and sends the order information of medical device sales orders to the visual interface module; The sales monitoring and analysis module is used to monitor and analyze the sales management status of medical device merchants during the detection period, assign sales supervision symbols XP-1 or XP-2 through analysis, and send the sales supervision symbols XP-1 or XP-2 to the management evaluation module; The inventory monitoring and analysis module is used to monitor and analyze the inventory management status of medical device merchants during the inspection period, assign the inventory supervision symbol KP-1 or KP-2 through analysis, and send the inventory supervision symbol KP-1 or KP-2 to the management evaluation module; The management evaluation module receives sales supervision symbols and inventory supervision symbols. If XP-2∩KP-2 is obtained, a management evaluation qualified signal is generated. In other cases, a management evaluation abnormal signal is generated, and the management evaluation qualified signal or the management evaluation abnormal signal is sent to the visualization interface module.

2. A medical device 020 sales link visualization system according to claim 1, characterized in that: The specific analysis process of the user management module is as follows: The first cooperation moment between the corresponding purchasing user and the medical device merchant is collected, and the interval between the first cooperation moment and the current moment is marked as the total cooperation time value; the number of purchases and the total purchase amount of the corresponding purchasing user at the medical device merchant in the historical stage are collected and marked as the medical device purchase frequency value and the medical device purchase amount value; and the ratio of the number of returns of the corresponding purchasing user in the historical stage to the medical device purchase frequency value is marked as the medical device return inspection value; The user quality analysis value is obtained by numerically calculating the total cooperation time value, medical device purchase frequency value, medical device purchase amount value and medical device return inspection value. If the user quality analysis value exceeds the preset user quality analysis threshold, the corresponding purchasing user is marked as a high-quality user; If the user quality analysis value does not exceed the preset user quality analysis threshold, the corresponding purchasing user will be marked as a low-quality user.

3. A medical device 020 sales link visualization system according to claim 1, characterized in that: The specific operation process of the sales monitoring and analysis module includes: Obtain all sales orders of medical device merchants during the testing period to obtain the total number of sales orders, mark the time that the actual arrival time of the corresponding sales order exceeds the corresponding preset arrival time as the arrival timeout value, and collect the arrival loss value of the corresponding sales order. If the arrival timeout value or arrival loss value exceeds the corresponding preset threshold, the corresponding sales order will be marked as a regulatory abnormal order; The number of regulatory abnormal orders corresponding to high-quality users and the number of regulatory abnormal orders corresponding to low-quality users are marked as high-impact order values ​​and low-impact order values, respectively; and the complaint value is obtained, and the sales monitoring and analysis value is obtained by numerically calculating the total number of sales orders, the high-impact order value, the low-impact order value and the complaint value. If the sales monitoring and analysis value exceeds the preset sales monitoring and analysis threshold, the sales supervision symbol XP-1 is assigned; if the sales monitoring and analysis value does not exceed the preset sales monitoring and analysis threshold, the sales supervision symbol XP-2 is assigned.

4. A medical device 020 sales link visualization system according to claim 3, characterized in that: The sales monitoring and analysis module is communicatively connected to the complaint response detection module. The complaint response detection module analyzes the complaint response status of medical device merchants during the detection period, obtains complaint response values ​​through analysis, and sends the complaint response values ​​to the sales monitoring and analysis module.

5. A medical device 020 sales link visualization system according to claim 4, characterized in that: The specific analysis process of the complaint response detection module is as follows: Obtain all sales complaints received by medical device merchants during the detection period, and mark the number of sales complaints corresponding to high-quality users and the number of sales complaints corresponding to low-quality users as high-impact complaint values ​​and low-impact complaint values, respectively; and mark the time taken by medical device merchants to resolve corresponding sales complaints as complaint response time. If the corresponding sales complaint corresponds to a high-quality user, a preset complaint response time threshold NK1 is assigned; if the corresponding sales complaint corresponds to a low-quality user, a preset complaint response time threshold NK2 is assigned, and NK2>NK1>0; The number of sales complaints whose complaint response time exceeds the corresponding preset complaint response time threshold during the detection period is obtained and marked as complaint response outliers, the ratio of the complaint response time to the corresponding preset complaint response time threshold is marked as the complaint response time value, and the complaint response time value is obtained by averaging all complaint response time values ​​during the detection period; the complaint response value is obtained by numerically calculating the high-impact complaint value, low-impact complaint value, complaint response outlier value and complaint response time value.

6. A medical device 020 sales link visualization system according to claim 1, characterized in that: The specific operation process of the inventory monitoring and analysis module includes: Obtain the types of all medical devices sold by medical device merchants, mark the corresponding types of medical devices as target objects i, and i is a natural number greater than 1; collect the real-time inventory of target object i, if target object i is an easy-to-sell object, assign a preset real-time inventory threshold GY1 to it, if target object i is a slow-selling object, assign a preset real-time inventory threshold GY2 to it, and GY1>GY2>0; if the real-time inventory does not exceed the corresponding preset real-time inventory threshold, it is determined that the target object i is in an insufficient inventory state; The total duration of the target object i in the insufficient inventory state during the detection period is obtained and marked as the inventory abnormal time value, and the single duration of the corresponding insufficient inventory state is compared with the preset single duration threshold, and the number of occurrences of the single duration of the target object i in the insufficient inventory state during the detection period exceeding the preset single duration threshold is marked as the abnormal inventory high value; if the abnormal inventory time value or the abnormal inventory high value exceeds the corresponding preset threshold, the target object i is marked as an inventory abnormal object; The quantity ratio of the inventory abnormal objects during the detection period is obtained and marked as the inventory abnormal detection value, and the inventory abnormality values ​​of all kinds of medical devices are averaged to obtain the inventory abnormality value, and the abnormal high inventory values ​​of all kinds of medical devices are averaged to obtain the abnormal high inventory value; The inventory monitoring and analysis value is obtained by numerically calculating the inventory management anomaly detection value, inventory abnormality value and inventory abnormal high table value. If the inventory monitoring and analysis value exceeds the preset inventory monitoring and analysis threshold, the inventory supervision symbol KP-1 is assigned; if the inventory monitoring and analysis value does not exceed the preset inventory monitoring and analysis threshold, the inventory supervision symbol KP-2 is assigned.

7. A medical device 020 sales link visualization system according to claim 6, characterized in that: The inventory monitoring and analysis module is communicated with the medical device classification module. The medical device classification module analyzes the sales performance of the target object i and marks the target object i as an easy-to-sell object or a slow-to-sell object through the analysis. And the marking information of the target object i is sent to the inventory monitoring and analysis module.

8. A medical device 020 sales link visualization system according to claim 7, characterized in that: The specific analysis process of the medical device division module is as follows: Several analysis periods are set during the detection period, the sales volume of the target object i during the corresponding analysis period is collected and marked as the period sales efficiency value, the average of all sales efficiency values ​​of the target object i during the detection period is calculated to obtain the sales analysis value, and the period sales efficiency value is numerically compared with the preset period sales efficiency threshold. If the period sales efficiency value exceeds the preset period sales efficiency threshold, the corresponding analysis period is marked as a hot-selling period; The number of best-selling time periods corresponding to the target object i in the detection period is obtained and marked as the sales-optimal value, and the sales-effectiveness value of the time period with the smallest value is marked as the sales-bottom value; the sales evaluation value of the medical device is obtained by numerically calculating the sales analysis value, the sales-optimal value and the sales-bottom value. If the sales evaluation value of the medical device exceeds the preset medical device sales evaluation threshold, the target object i is marked as an easy-to-sell object; If the sales evaluation value of the medical device does not exceed the preset sales evaluation threshold of the medical device, the target object i is marked as a slow-selling object.

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