Website performance assessment method, device and equipment and storage medium

Abstract

The invention relates to the technical field of logistics, in particular to a website performance assessment method, device and equipment and a storage medium, and the method comprises the steps: obtaining website business volume data according to a preset assessment period, and obtaining a target value, a minimum guarantee value, a completion amount and a collection delivery amount from the website business volume data; calculating a website reward initial scheme according to a reward accounting formula, the target value, the guarantee value, the completion amount and the received delivery amount; obtaining website service content, and correspondingly obtaining a periodic discount parameter according to the website service content; adjusting the website reward initial scheme according to the periodic discount parameter to obtain a website reward adjustment scheme; obtaining website historical service volume data, and optimizing the website reward adjustment scheme according to the website historical service volume data to obtain a website reward optimization scheme; by adding historical business volume and periodic discount parameters as consideration factors, website performance is analyzed from multiple dimensions, so that a quantified reward scheme is more reasonable, and the comprehensiveness of performance assessment is improved.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a network point performance assessment method, device, equipment and storage medium. Background Art

[0002] The current performance evaluation method for logistics outlets is difficult to quantify, and it is mainly based on the fulfillment service fee as an evaluation of the outlet's business performance, and through evaluation incentives to stimulate the enthusiasm of the outlets, improve service quality, enhance competitiveness, and meet customer needs. However, the existing performance service fee evaluation method is difficult to use numbers or quantitative indicators to comprehensively evaluate the performance of the outlets, and the overall performance evaluation is difficult.

[0003] It can be seen that the existing technology still needs to be improved and enhanced. Summary of the invention

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a method, device, equipment and storage medium for evaluating branch performance, which can automatically calculate reward plans based on the branch's business volume data, thereby improving the efficiency of evaluating branch performance.

[0005] The first aspect of the present invention provides a method for evaluating branch performance, including: obtaining branch business volume data according to a preset evaluation period, and obtaining target values, minimum guaranteed values, completion volumes, and collection and delivery volumes from the branch business volume data; calculating the initial branch reward plan according to the reward calculation formula, target values, minimum guaranteed values, completion volumes, and collection and delivery volumes; obtaining branch service content, and obtaining periodic discount parameters according to the branch service content; adjusting the initial branch reward plan according to the periodic discount parameters to obtain a branch reward adjustment plan; obtaining branch historical business volume data, and optimizing the branch reward adjustment plan according to the branch historical business volume data to obtain a branch reward optimization plan.

[0006] Optionally, in a first implementation method of the first aspect of the present invention, the branch business volume data is obtained according to a preset assessment period, and the target value, minimum value, completion volume and collection and delivery volume are obtained from the branch business volume data, including: setting a data timing collector according to the preset assessment period and the Celery tasker, and obtaining the branch business volume data from the branch using the timing collector; obtaining labeled data from the branch business volume data through a preset data labeling tool and a preset labeling type; preprocessing the labeled data, and labeling and classifying the preprocessed labeled data to obtain the target value, minimum value, completion volume and collection and delivery volume.

[0007] Optionally, in a second implementation method of the first aspect of the present invention, the initial reward plan for the outlet is calculated based on the reward accounting formula, target value, minimum guarantee value, completion volume and collection and shipment volume, including: judging the assessment completion type of the outlet's business volume data based on the target value, minimum guarantee value, completion volume and collection and shipment volume; if the completion volume is lower than the minimum guarantee value, judging the outlet's business volume data to be a first-level performance type, and obtaining the first-level formula for calculating the outlet's initial reward plan from the reward accounting formula based on the first-level performance type; if the completion volume is higher than the minimum guarantee value and less than the target value, judging the outlet's business volume data to be a second-level performance type, and obtaining the second-level formula for calculating the outlet's initial reward plan from the reward accounting formula based on the second-level performance type; if the collection and shipment volume is greater than the target value, judging the outlet's business volume data to be a third-level performance type, and obtaining the third-level formula for calculating the outlet's initial reward plan from the reward accounting formula based on the third-level performance type.

[0008] Optionally, in a third implementation method of the first aspect of the present invention, the obtaining of the outlet service content and the corresponding obtaining of the periodic discount parameters according to the outlet service content include: obtaining billing information from the outlet service content according to the actual assessment period; inputting the billing information into a discount distribution model, and obtaining discount-related fields from the billing content through the discount distribution model; confirming the discount type according to the target value, minimum value, completion volume and collection and shipment volume, and obtaining the periodic discount parameters from the discount-related fields according to the discount type.

[0009] Optionally, in a fourth implementation method of the first aspect of the present invention, the initial branch reward plan is adjusted according to the periodic discount parameters to obtain an adjustment plan for branch reward, including: extracting corresponding numeric characters according to the periodic discount parameters, and performing format standardization processing on the numeric characters to obtain a discount calculation value; extracting an initial fulfillment fee reward value from the initial branch reward plan, and performing format standardization processing on the initial fulfillment fee reward value to obtain a standardized initial fulfillment fee reward value; performing discount conversion based on the discount calculation value and the standardized initial fulfillment fee reward value to obtain an adjustment plan for branch reward.

[0010] Optionally, in a fifth implementation method of the first aspect of the present invention, the obtaining of historical business volume data of outlets and optimizing the outlet reward adjustment plan based on the historical business volume data of outlets to obtain an outlet reward optimization plan include: obtaining historical completion volume data of the same period based on the historical business volume data of outlets, and performing mean calculation on the historical completion volume data of the same period to obtain a reference value for completion volume of the same period; calculating the business difference between the reference value for completion volume and the completion volume of the same period, and determining whether the business difference is greater than 0; if the business difference is less than 0, then reducing the outlet reward adjustment plan according to a preset reduction ratio to obtain an outlet reward optimization plan; if the business difference is greater than 0, then increasing the outlet reward adjustment plan according to a preset increase ratio to obtain an outlet reward optimization plan.

[0011] Optionally, in the sixth implementation method of the first aspect of the present invention, after obtaining the historical business volume data of the outlets and optimizing the outlet reward adjustment plan based on the historical business volume data of the outlets to obtain the outlet reward optimization plan, it also includes: persistently storing the outlet reward optimization plan and forming a reward deposit library; obtaining the headquarters management link and connecting the headquarters management link with the reward deposit library; obtaining the updated outlet reward optimization plan from the reward deposit library according to a preset push cycle, and pushing the updated outlet reward optimization plan to the headquarters management link.

[0012] The second aspect of the present invention provides a branch performance assessment device, including: an acquisition module, which is used to acquire branch business volume data according to a preset assessment period, and obtain target values, minimum values, completion volumes and collection and delivery volumes from the branch business volume data; a calculation module, which is used to calculate the initial branch reward plan based on the reward calculation formula, target values, minimum values, completion volumes and collection and delivery volumes; a discount module, which is used to acquire branch service content, and obtain periodic discount parameters according to the branch service content; an adjustment module, which is used to adjust the initial branch reward plan according to the periodic discount parameters to obtain a branch reward adjustment plan; an optimization module, which is used to acquire branch historical business volume data, and optimize the branch reward adjustment plan according to the branch historical business volume data to obtain a branch reward optimization plan.

[0013] Optionally, in a first implementation method of the second aspect of the present invention, the acquisition module includes: a collection unit, used to set a data timing collector according to a preset assessment cycle and a Celery tasker, and use the timing collector to obtain branch business volume data from the branch; a labeling unit, used to obtain labeled data from branch business volume data through a preset data labeling tool and a preset labeling type; a preprocessing unit, used to preprocess the labeled data, and label and classify the preprocessed labeled data to obtain target values, guaranteed values, completion quantities, and collection and shipment quantities.

[0014] Optionally, in a second implementation method of the second aspect of the present invention, the calculation module includes: a type unit, used to determine the assessment completion type of the outlet's business volume data based on the target value, minimum guarantee value, completion volume and collection and delivery volume; a first calculation unit, used to determine that the outlet's business volume data is a first-level performance type if the completion volume is lower than the minimum guarantee value, and obtain the first-level formula from the reward calculation formula to calculate the outlet's initial reward plan based on the first-level performance type; a second calculation unit, used to determine that the outlet's business volume data is a second-level performance type if the completion volume is higher than the minimum guarantee value and less than the target value, and obtain the second-level formula from the reward calculation formula to calculate the outlet's initial reward plan based on the second-level performance type; a third calculation unit, used to determine that the outlet's business volume data is a third-level performance type if the collection and delivery volume is greater than the target value, and obtain the third-level formula from the reward calculation formula to calculate the outlet's initial reward plan based on the third-level performance type.

[0015] Optionally, in a third implementation method of the second aspect of the present invention, the discount module includes: a billing unit, used to obtain billing information from the service content of the outlets according to the actual assessment period; an input unit, used to input the billing information into the discount distribution model, and obtain discount-related fields from the billing content through the discount distribution model; a confirmation unit, used to confirm the discount type according to the target value, minimum value, completion volume and collection and delivery volume, and obtain period discount parameters from the discount-related fields according to the discount type.

[0016] Optionally, in a fourth implementation method of the second aspect of the present invention, the adjustment module includes: a first extraction unit, used to extract corresponding numeric characters according to the periodic discount parameters, and perform format standardization processing on the numeric characters to obtain a discount calculation value; a second extraction unit, used to extract the initial fulfillment fee reward value from the initial branch reward plan, and perform format standardization processing on the initial fulfillment fee reward value to obtain a standardized initial fulfillment fee reward value; a conversion unit, used to perform discount conversion based on the discount calculation value and the standardized initial fulfillment fee reward value to obtain a branch reward adjustment plan.

[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the optimization module includes: a mean unit, which is used to obtain historical completion volume data of the same period based on the historical business volume data of the outlets, and perform mean calculation on the historical completion volume data of the same period to obtain a reference value for completion volume of the same period; a difference unit, which is used to calculate the business difference between the reference value for completion volume and the completion volume of the same period, and determine whether the business difference is greater than 0; a de-rate unit, which is used to de-rate the outlet reward adjustment plan according to a preset de-rate ratio if the business difference is less than 0 to obtain an outlet reward optimization plan; an increase unit, which is used to increase the outlet reward adjustment plan according to a preset increase ratio if the business difference is greater than 0 to obtain an outlet reward optimization plan.

[0018] Optionally, in a sixth implementation method of the second aspect of the present invention, the optimization module also includes: a storage unit, used to persistently store the branch reward optimization plan and form a reward deposit library; a connection unit, used to obtain the headquarters management link and connect the headquarters management link with the reward deposit library; a push unit, used to obtain the updated branch reward optimization plan from the reward deposit library according to a preset push cycle, and push the updated branch reward optimization plan to the headquarters management link.

[0019] The third aspect of the present invention provides a branch performance assessment device, which includes: a memory and at least one processor, wherein the memory stores instructions; at least one of the processors calls the instructions in the memory to enable the branch performance assessment device to execute each step of the branch performance assessment method described in any one of the above items.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored thereon, and when the instructions are executed by a processor, the steps of any one of the above-mentioned methods for evaluating the performance of outlets are implemented.

[0021] In the technical solution of the present invention, the business volume data of each outlet is obtained independently, and parameters that can be used for performance appraisal of the outlets (i.e., target value, minimum value, completion volume and collection and shipment volume) are extracted from the business volume data of each outlet. The target value, minimum value, completion volume and collection and shipment volume are used to make a preliminary calculation of the performance of the outlets. The performance of each outlet can be accurately appraised through the target value, minimum value, completion volume and collection and shipment volume, so as to realize a unified appraisal method, encourage each outlet to perform its duties more effectively, reduce delays and errors, and thus accelerate the operation of the entire supply chain. By adding historical business volume and periodic discount parameters as considerations, the performance of the outlets can be analyzed from multiple dimensions, making the quantified reward plan more reasonable and improving the comprehensiveness of performance appraisal. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A first flow chart of a method for evaluating network performance provided by an embodiment of the present invention;

[0023] Figure 2 A second flow chart of the network point performance assessment method provided by an embodiment of the present invention;

[0024] Figure 3 A third flow chart of the network point performance assessment method provided by an embodiment of the present invention;

[0025] Figure 4 A fourth flow chart of the network point performance assessment method provided by an embodiment of the present invention;

[0026] Figure 5 A fifth flow chart of the network point performance assessment method provided by the embodiment of the present invention;

[0027] Figure 6 A sixth flow chart of the network point performance assessment method provided by the embodiment of the present invention;

[0028] Figure 7 A seventh flow chart of the network point performance assessment method provided by the embodiment of the present invention;

[0029] Figure 8 A schematic diagram of the structure of a network point performance assessment device provided by an embodiment of the present invention;

[0030] Fig. 9 Another structural schematic diagram of a network point performance evaluation device provided by an embodiment of the present invention;

[0031] Fig.10 A schematic diagram of the structure of a network point performance assessment device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The present invention provides a method, device, equipment and storage medium for evaluating the performance of outlets. The present invention independently obtains the outlet business volume data of each outlet, and extracts parameters (i.e., target value, minimum value, completion volume and collection and delivery volume) that can be used for performance evaluation of the outlets from the business volume data of each outlet. The target value, minimum value, completion volume and collection and delivery volume are used to preliminarily calculate the performance of the outlets. The performance of each outlet can be accurately evaluated through the target value, minimum value, completion volume and collection and delivery volume, so as to achieve a unified evaluation method, encourage each outlet to perform its duties more effectively, reduce delays and errors, and thus accelerate the operation of the entire supply chain; by adding historical business volume and periodic discount parameters as consideration factors, the performance of the outlets can be analyzed from multiple dimensions, so that the quantified reward plan is more reasonable and the comprehensiveness of the performance evaluation is improved.

[0033] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 , an embodiment of the network point performance assessment method in the embodiment of the present invention includes:

[0035] 101. Obtain the business volume data of outlets according to the preset assessment cycle, and obtain the target value, minimum value, completion volume and collection and delivery volume from the business volume data of outlets;

[0036] 102. Calculate the initial reward plan for outlets based on the reward calculation formula, target value, guaranteed value, completion volume, and collection and delivery volume;

[0037] In this implementation, the business volume data of each outlet is acquired autonomously, and parameters that can be used to evaluate the performance of the outlets (i.e., target value, minimum value, completion volume, and collection and shipment volume) are extracted from the business volume data of each outlet. The target value, minimum value, completion volume, and collection and shipment volume are used to make a preliminary calculation of the performance of the outlets. The performance of each outlet can be accurately evaluated through the target value, minimum value, completion volume, and collection and shipment volume, so as to achieve a unified evaluation method, thereby encouraging each outlet to perform its duties more effectively, reduce delays and errors, and thus accelerate the operation of the entire supply chain.

[0038] 103. Obtain the service content of the outlets, and obtain the period discount parameters accordingly according to the service content of the outlets;

[0039] 104, adjusting the initial network point reward plan according to the period discount parameter to obtain a network point reward adjustment plan;

[0040] In this embodiment, when confirming the final incentive plan for the settlement outlets, it is necessary to confirm whether there are periodic discount parameters based on the outlet service content, that is, whether a corresponding contract discount is agreed upon within the prescribed period range. If there are discount parameters for the corresponding assessment period, then based on the periodic discount parameters and according to the daily discount of the assessment period, the initial outlet reward plan within the assessment period is adjusted to obtain an outlet reward adjustment plan; by adding the periodic discount parameter as a consideration factor to adjust the initial outlet reward plan, the outlet performance is assessed from different dimensions.

[0041] 105. Obtain historical business volume data of outlets, and optimize the outlet reward adjustment plan based on the historical business volume data of outlets to obtain an outlet reward optimization plan;

[0042] In this embodiment, when finally confirming the reward plan for the settlement outlets, historical business volume data must also be taken into consideration to verify the volume ratio between current business volume and historical business volume, so as to further optimize the outlet reward adjustment plan; by adding historical business volume as a consideration factor, the performance of the outlets can be analyzed from multiple dimensions, making the quantified reward plan more reasonable and improving the comprehensiveness of performance appraisal.

[0043] In the embodiment of the present invention, the business volume data of each outlet is obtained autonomously, and parameters (i.e., target value, minimum value, completion volume, and collection and shipment volume) that can be used to evaluate the performance of the outlets are extracted from the business volume data of each outlet. The target value, minimum value, completion volume, and collection and shipment volume are used to preliminarily calculate the performance of the outlets. The performance of each outlet can be accurately evaluated through the target value, minimum value, completion volume, and collection and shipment volume, so as to achieve a unified evaluation method, thereby encouraging each outlet to perform its duties more effectively, reduce delays and errors, and thus accelerate the operation of the entire supply chain. By adding historical business volume and periodic discount parameters as considerations, the performance of the outlets can be analyzed from multiple dimensions, making the quantified reward plan more reasonable and improving the comprehensiveness of performance evaluation.

[0044] See also Figure 2 The second embodiment of the network point performance evaluation method in the embodiment of the present invention includes:

[0045] 201. Set a data timing collector according to the preset assessment cycle and Celery tasker, and use the timing collector to obtain the business volume data of the outlets from the outlets;

[0046] 202. Obtaining annotated data from the outlet business volume data by using a preset data annotation tool and a preset annotation type;

[0047] 203. Preprocess the labeled data, and classify the preprocessed labeled data to obtain the target value, minimum value, completion volume, and collection and delivery volume.

[0048] In this embodiment, the Celery tasker is set according to a preset assessment cycle to form a data timing collector, which is used to obtain the corresponding branch business volume data from the branch system in real time at a fixed point and in a fixed quantity. Since there is a large amount of useless data in the branch business volume data, it is necessary to use a data annotation tool to annotate the useful data from the branch business volume data. The data annotation tool finds the corresponding type of data from the branch business volume data according to the preset annotation type, and marks it to obtain different types of annotated data, and annotates and classifies each annotated data to confirm the specific type of each annotated data, and classifies it into target value, minimum value, completion volume and collection and delivery volume as an assessment parameter for considering branch performance.

[0049] See also Figure 3 , a third embodiment of the network point performance assessment method in the embodiment of the present invention includes:

[0050] 301. Determine the completion type of the assessment of the business volume data of the outlet based on the target value, minimum guaranteed value, completion volume and collection and delivery volume;

[0051] 302. If the completion volume is lower than the guaranteed value, the business volume data of the outlet is judged to be of the first-level performance type, and the first-level formula is obtained from the reward calculation formula to calculate the initial plan for the outlet reward according to the first-level performance type;

[0052] 303. If the completion volume is higher than the guaranteed value and lower than the target value, the business volume data of the outlet is judged to be of the secondary performance type, and the secondary formula is obtained from the reward calculation formula according to the secondary performance type to calculate the initial reward plan for the outlet;

[0053] 304. If the collection and delivery volume is greater than the target value, the business volume data of the outlet is judged to be a third-level performance type, and the third-level formula is obtained from the reward calculation formula to calculate the initial outlet reward plan based on the third-level performance type.

[0054] In this embodiment, the performance of the outlets needs to be classified according to the target value, minimum guarantee value, completion volume and collection and delivery volume in order to divide different billing methods. For ease of understanding, the following example is used to illustrate: If the completion volume of the outlet during the assessment week is lower than the minimum guarantee value, it is judged as a first-level performance type, and the billing method of the initial outlet reward plan is (target value-completion volume)*0.4 yuan / ticket; if the completion volume of the outlet during the assessment week is between the minimum guarantee value and the target value, it is judged as a second-level performance type, and the billing method of the initial outlet reward plan is (target value-completion volume)*0.3 yuan / ticket; if the collection and delivery volume of the outlet during the assessment week reaches or exceeds the weekly target value, it is judged as a third-level performance type, and the billing method of the initial outlet reward plan is (collection and delivery volume-minimum guarantee value)*0.3 yuan / ticket; By setting different billing methods, the enthusiasm of outlets can be effectively stimulated and the work enthusiasm among outlets can be improved.

[0055] See also Figure 4 The fourth embodiment of the network point performance evaluation method in the embodiment of the present invention includes:

[0056] 401. Obtain billing information from the service content of the outlets according to the actual assessment period;

[0057] 402. Input the billing information into the discount distribution model, and obtain discount-related fields from the billing content through the discount distribution model;

[0058] 403. Confirm the discount type based on the target value, minimum value, completion volume and collection and delivery volume, and obtain the periodic discount parameters from the discount-related fields based on the discount type.

[0059] In this embodiment, the discount distribution model is used to find the corresponding discount-related fields from the billing information, so as to quickly screen the data and quickly determine the location of the valid related fields. Then, the corresponding fields are quickly found from the discount-related fields according to the discount type, and the periodic discount parameters can be determined based on the fields. The above method can effectively improve the acquisition accuracy and efficiency of the periodic discount parameters.

[0060] See also Figure 5 The fifth embodiment of the network point performance evaluation method in the embodiment of the present invention includes:

[0061] 501. Extract corresponding numeric characters according to the period discount parameters, and perform format standardization processing on the numeric characters to obtain a discount calculation value;

[0062] 502. Extracting an initial performance fee reward value from the initial network point reward plan, and performing format standardization processing on the initial performance fee reward value to obtain a standardized initial performance fee reward value;

[0063] 503. The discount is converted based on the discount calculation value and the standardized initial performance fee reward value to obtain the branch reward adjustment plan.

[0064] In this embodiment, before adjusting the initial branch reward plan, the periodic discount parameters and the initial fulfillment fee reward values ​​need to be standardized so that both are converted into numerical characters and calculation units in a unified format. Subsequently, the initial fulfillment fee reward value is discounted based on the discount calculation value to obtain the branch reward adjustment plan. By standardizing the numerical values, the calculation difficulty of the system can be reduced.

[0065] See also Figure 6 The sixth embodiment of the network point performance evaluation method in the embodiment of the present invention includes:

[0066] 601. Obtain the historical completion volume data for the same period according to the historical business volume data of the outlets, and perform mean calculation on the historical completion volume data for the same period to obtain a reference value for the completion volume for the same period;

[0067] 602. Calculate the business difference between the reference value of the completed quantity and the completed quantity in the same period, and determine whether the business difference is greater than 0;

[0068] 603. If the business difference is less than 0, the branch reward adjustment plan is reduced according to the preset reduction ratio to obtain a branch reward optimization plan;

[0069] 604. If the business difference is greater than 0, the branch reward adjustment plan is increased according to the preset increase ratio to obtain a branch reward optimization plan;

[0070] In this embodiment, when confirming the final reward plan of the settlement outlet, it is necessary to make a final optimization of the reward plan based on the historical business volume data. First, compare the total completion volume of the natural month in which the assessment week is located with the completion volume of the same period last year. If it is less than the completion volume of last year, that is, the business difference is less than 0, then the adjustment ratio p3=0, and the incentive m3=0; if the completion volume this year is greater than the completion volume last year, that is, the business difference is greater than 0, then proceed to the next step of judgment. If the settlement outlet belongs to the business province in the natural month in which the assessment week is located, the actual deduction amount of all performance service fees is A, and the amount to be incentivized is B. If B≤(A*70%), then the adjustment ratio P2=100%, that is, the amount to be incentivized does not change, m2=the original amount to be incentivized. If B>(A*70%), then the adjustment ratio P2=(A*70%). 0 / B)%, that is, m2 = original incentive amount * P2. Now proceed to the next step of judgment, and judge that the total m2 (that is, the incentive amount after adjustment in the previous step) of the settlement outlets in the natural month of the statistical assessment week is c. If c≤10000, the adjustment ratio p3=p2, and the adjusted incentive amount m3=m2. If c>10000, the adjustment ratio p3=10000 / (all original incentive amounts in the natural month of the settlement outlet assessment week), the adjusted incentive amount m3=original incentive amount*p; by comparing with the historical business volume in the same period, the reward amount is further optimized, and the performance of the outlets is analyzed from the dimension of historical data, so that the quantified reward plan is more reasonable and the comprehensiveness of performance appraisal is improved.

[0071] See also Figure 7 The seventh embodiment of the network point performance evaluation method in the embodiment of the present invention includes:

[0072] 701. Persistently store the branch reward optimization plan and form a reward deposit library;

[0073] 702. Obtain the headquarters management link and connect the headquarters management link to the reward deposit library;

[0074] 703. Obtain the updated branch reward optimization plan from the reward deposit library according to the preset push cycle, and push the updated branch reward optimization plan to the headquarters management link.

[0075] In this embodiment, after the branch reward optimization plan is confirmed, it needs to be persistently stored for long-term preservation. The reward depository can facilitate monitoring of the performance trajectory of the corresponding branch and improve the management efficiency of each branch. After the reward plan is confirmed, it is necessary to notify the headquarters through the headquarters management link so that the headquarters can verify the reward plan and implement the corresponding reward method after the headquarters confirms that it is correct.

[0076] The above describes the network point performance evaluation method in the embodiment of the present invention. The following describes the network point performance evaluation device in the embodiment of the present invention. Figure 8 In one embodiment of the present invention, a network point performance evaluation device includes:

[0077] The acquisition module 801 is used to acquire the business volume data of the outlets according to the preset assessment period, and obtain the target value, the minimum value, the completion volume and the collection and delivery volume from the business volume data of the outlets;

[0078] Calculation module 802, used to calculate the initial reward plan for the outlets according to the reward calculation formula, target value, guaranteed value, completion volume and collection and delivery volume;

[0079] The discount module 803 is used to obtain the service content of the outlet and obtain the period discount parameters accordingly according to the service content of the outlet;

[0080] An adjustment module 804 is used to adjust the initial network point reward plan according to the period discount parameter to obtain a network point reward adjustment plan;

[0081] The optimization module 805 is used to obtain the historical business volume data of the outlets, and optimize the outlet reward adjustment plan according to the historical business volume data of the outlets to obtain the outlet reward optimization plan.

[0082] In this embodiment, the acquisition module 801 independently obtains the business volume data of each outlet, and extracts parameters that can be used to evaluate the performance of the outlets (i.e., target value, minimum value, completion volume and collection and shipment volume) from the business volume data of each outlet. The calculation module 802 uses the target value, minimum value, completion volume and collection and shipment volume to make a preliminary calculation of the performance of the outlets. The performance of each outlet can be accurately evaluated through the target value, minimum value, completion volume and collection and shipment volume, so as to achieve a unified evaluation method, motivate each outlet to perform its duties more effectively, reduce delays and errors, and thus accelerate the operation of the entire supply chain; the discount module 803, the adjustment module 804 and the optimization module 805 can analyze the performance of the outlets from multiple dimensions by adding historical business volume and periodic discount parameters as considerations, so as to make the quantified reward plan more reasonable and improve the comprehensiveness of performance evaluation.

[0083] See also Fig. 9Another embodiment of the network point performance assessment device in the embodiment of the present invention includes:

[0084] The acquisition module 801 is used to acquire the business volume data of the outlets according to the preset assessment period, and obtain the target value, the minimum value, the completion volume and the collection and delivery volume from the business volume data of the outlets;

[0085] Calculation module 802, used to calculate the initial reward plan for the outlets according to the reward calculation formula, target value, guaranteed value, completion volume and collection and delivery volume;

[0086] The discount module 803 is used to obtain the service content of the outlet and obtain the period discount parameters accordingly according to the service content of the outlet;

[0087] An adjustment module 804 is used to adjust the initial network point reward plan according to the period discount parameter to obtain a network point reward adjustment plan;

[0088] The optimization module 805 is used to obtain the historical business volume data of the outlets, and optimize the outlet reward adjustment plan according to the historical business volume data of the outlets to obtain the outlet reward optimization plan.

[0089] In this embodiment, in the first implementation method of the second aspect of the present invention, the acquisition module 801 includes: a collection unit 8011, which is used to set a data timing collector according to a preset assessment cycle and a Celery tasker, and use the timing collector to obtain branch business volume data from the branch; a labeling unit 8012, which is used to obtain labeled data from branch business volume data through a preset data labeling tool and a preset labeling type; a preprocessing unit 8013, which is used to preprocess the labeled data, and label and classify the preprocessed labeled data to obtain the target value, minimum value, completion volume and collection and delivery volume.

[0090] In this embodiment, in the second implementation method of the second aspect of the present invention, the calculation module 802 includes: a type unit 8021, which is used to determine the assessment completion type of the branch's business volume data according to the target value, the minimum guarantee value, the completion volume and the collection and delivery volume; a first calculation unit 8022, which is used to determine that the branch's business volume data is a first-level performance type if the completion volume is lower than the minimum guarantee value, and obtain the first-level formula from the reward calculation formula to calculate the branch's reward initial plan according to the first-level performance type; a second calculation unit 8023, which is used to determine that the branch's business volume data is a second-level performance type if the completion volume is higher than the minimum guarantee value and less than the target value, and obtain the second-level formula from the reward calculation formula to calculate the branch's reward initial plan according to the second-level performance type; a third calculation unit 8024, which is used to determine that the branch's business volume data is a third-level performance type if the collection and delivery volume is greater than the target value, and obtain the third-level formula from the reward calculation formula to calculate the branch's reward initial plan according to the third-level performance type.

[0091] In this embodiment, in the third implementation method of the second aspect of the present invention, the discount module 803 includes: a billing unit 8031, which is used to obtain billing information from the service content of the outlets according to the actual assessment period; an input unit 8032, which is used to input the billing information into the discount distribution model, and obtain discount-related fields from the billing content through the discount distribution model; a confirmation unit 8033, which is used to confirm the discount type according to the target value, minimum value, completion volume and collection and delivery volume, and obtain period discount parameters from the discount-related fields according to the discount type.

[0092] In this embodiment, in the fourth implementation method of the second aspect of the present invention, the adjustment module 804 includes: a first extraction unit 8041, which is used to extract corresponding numeric characters according to the periodic discount parameters, and perform format standardization processing on the numeric characters to obtain a discount calculation value; a second extraction unit 8042, which is used to extract the initial fulfillment fee reward value from the initial branch reward plan, and perform format standardization processing on the initial fulfillment fee reward value to obtain a standardized initial fulfillment fee reward value; a conversion unit 8043, which is used to perform discount conversion based on the discount calculation value and the standardized initial fulfillment fee reward value to obtain a branch reward adjustment plan.

[0093] In this embodiment, in the fifth implementation method of the second aspect of the present invention, the optimization module 805 includes: an average unit 8051, which is used to obtain the historical completion volume data of the same period based on the historical business volume data of the outlets, and perform average calculation on the historical completion volume data of the same period to obtain the reference value of the completion volume of the same period; a difference unit 8052, which is used to calculate the business difference between the reference value of the completion volume and the completion volume of the same period, and determine whether the business difference is greater than 0; a de-rate unit 8053, which is used to de-rate the outlet reward adjustment plan according to a preset de-rate ratio if the business difference is less than 0, so as to obtain the outlet reward optimization plan; an increase unit 8054, which is used to increase the outlet reward adjustment plan according to a preset increase ratio if the business difference is greater than 0, so as to obtain the outlet reward optimization plan.

[0094] In this embodiment, in the sixth implementation method of the second aspect of the present invention, the optimization module 805 also includes: a storage unit 8055, which is used to persistently store the branch reward optimization plan and form a reward deposit library; a connection unit 8056, which is used to obtain the headquarters management link and connect the headquarters management link with the reward deposit library; a push unit 8057, which is used to obtain the updated branch reward optimization plan from the reward deposit library according to a preset push cycle, and push the updated branch reward optimization plan to the headquarters management link.

[0095] above Figure 8 and Fig. 9The network point performance assessment device in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The network point performance assessment device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0096] Fig.10 1 is a schematic diagram of the structure of a network performance assessment device provided by an embodiment of the present invention. The network performance assessment device 900 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 910 (for example, one or more processors) and a memory 920, and one or more storage media 930 (for example, one or more mass storage devices) storing application programs 933 or data 932. Among them, the memory 920 and the storage medium 930 may be temporary storage or permanent storage. The program stored in the storage medium 930 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the network performance assessment device 900. Furthermore, the processor 910 may be configured to communicate with the storage medium 930, and execute a series of instruction operations in the storage medium 930 on the network performance assessment device 900 to implement the steps of the network performance assessment method provided by the above-mentioned various method embodiments.

[0097] The network performance evaluation device 900 may also include one or more power supplies 940, one or more wired or wireless network interfaces 950, one or more input and output interfaces 960, and / or one or more operating systems 931, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will appreciate that Fig.10 The structure of the network point performance evaluation device shown does not constitute a limitation on the network point performance evaluation device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0098] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the branch performance appraisal method.

[0099] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0100] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0101] Finally, it should be noted that the above description is only a preferred example of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for evaluating network performance, characterized in that: include: Obtain outlet business volume data according to the preset assessment cycle, and obtain target values, minimum values, completion volumes, and collection and delivery volumes from the outlet business volume data; Calculate the initial reward plan for outlets based on the reward calculation formula, target value, guaranteed value, completion volume, and collection and delivery volume; Obtain the service content of the outlets, and obtain the period discount parameters accordingly; Adjust the initial network point reward plan according to the periodic discount parameters to obtain the network point reward adjustment plan; Obtain the historical business volume data of the outlets, and optimize the outlet reward adjustment plan based on the historical business volume data of the outlets to obtain the outlet reward optimization plan.

2. The method for evaluating network performance according to claim 1, characterized in that: The method of obtaining the business volume data of the outlets according to the preset assessment period, and obtaining the target value, the minimum value, the completion volume and the collection and delivery volume from the business volume data of the outlets includes: Set up a data timing collector according to the preset assessment cycle and Celery tasker, and use the timing collector to obtain branch business volume data from the branch; Obtaining annotated data from the outlet business volume data through a preset data annotation tool and a preset annotation type; The labeled data is preprocessed and then labeled and classified to obtain the target value, minimum value, completion volume, and collection and shipment volume.

3. The method for evaluating network performance according to claim 1, characterized in that: The initial plan for calculating the network point reward based on the reward calculation formula, target value, minimum value, completion volume and collection and delivery volume includes: Determine the completion type of the branch's business volume data assessment based on the target value, minimum guaranteed value, completion volume, and collection and delivery volume; If the completed volume is lower than the guaranteed value, the business volume data of the outlet is judged to be of the first-level performance type, and the first-level formula is obtained from the reward calculation formula to calculate the initial plan for the outlet reward according to the first-level performance type; If the completed volume is higher than the guaranteed value and lower than the target value, the business volume data of the outlet is judged to be of the secondary performance type, and the secondary formula is obtained from the reward calculation formula to calculate the initial reward plan for the outlet according to the secondary performance type; If the collection and delivery volume is greater than the target value, the business volume data of the outlet is judged to be a third-level performance type, and the third-level formula is obtained from the reward calculation formula to calculate the initial outlet reward plan based on the third-level performance type.

4. The method for evaluating the performance of a network point according to claim 1, characterized in that: The obtaining of the service content of the outlet and obtaining the period discount parameters accordingly according to the service content of the outlet include: Obtain billing information from the service content of the outlets according to the actual assessment cycle; Input the billing information into the discount distribution model, and obtain the discount-related fields from the billing content through the discount distribution model; Confirm the discount type based on the target value, minimum guaranteed value, completion volume, and collection and shipment volume, and obtain the periodic discount parameters from the discount-related fields based on the discount type.

5. The method for evaluating network performance according to claim 1, characterized in that: The initial network point reward plan is adjusted according to the periodic discount parameter to obtain the network point reward adjustment plan, including: Extracting corresponding numeric characters according to the period discount parameters, and performing format standardization processing on the numeric characters to obtain the discount calculation value; Extracting the initial performance fee reward value from the initial network point reward plan, and performing format standardization processing on the initial performance fee reward value to obtain a standardized initial performance fee reward value; The discount is converted based on the discount calculation value and the standardized initial fulfillment fee incentive value to obtain the branch incentive adjustment plan.

6. The method for evaluating network performance according to claim 1, characterized in that: The obtaining of historical business volume data of outlets and optimizing the outlet reward adjustment plan according to the historical business volume data of outlets to obtain an outlet reward optimization plan includes: Obtain the historical completion volume data for the same period based on the historical business volume data of the outlets, and calculate the average of the historical completion volume data for the same period to obtain the reference value of the completion volume for the same period; Calculate the business difference between the reference value of the completed volume and the completed volume in the same period, and determine whether the business difference is greater than 0; If the business difference is less than 0, the branch reward adjustment plan will be reduced according to the preset reduction ratio to obtain the branch reward optimization plan; If the business difference is greater than 0, the branch reward adjustment plan will be increased according to the preset increase ratio to obtain the branch reward optimization plan.

7. The network point performance evaluation method according to claim 1, characterized in that: After obtaining the historical business volume data of the outlets and optimizing the outlet reward adjustment plan according to the historical business volume data of the outlets to obtain the outlet reward optimization plan, the method further includes: Persistently store the branch reward optimization plan and form a reward deposit library; Obtain the headquarters management link and connect the headquarters management link to the reward deposit library; The updated branch reward optimization plan is obtained from the reward deposit library according to the preset push cycle, and the updated branch reward optimization plan is pushed to the headquarters management link.

8. A network point performance assessment device, characterized in that: include: The acquisition module is used to obtain the business volume data of the outlets according to the preset assessment cycle, and obtain the target value, minimum value, completion volume and collection and delivery volume from the business volume data of the outlets; The calculation module is used to calculate the initial reward plan for the outlets based on the reward calculation formula, target value, minimum value, completion volume, and collection and delivery volume; The discount module is used to obtain the service content of the outlets and obtain the periodic discount parameters accordingly; An adjustment module, used to adjust the initial network point reward plan according to the periodic discount parameters to obtain a network point reward adjustment plan; The optimization module is used to obtain the historical business volume data of the outlets, and optimize the outlet reward adjustment plan based on the historical business volume data of the outlets to obtain the outlet reward optimization plan.

9. A network point performance assessment device, characterized in that: The network point performance assessment device comprises: a memory and at least one processor, wherein instructions are stored in the memory; At least one of the processors calls the instructions in the memory to enable the network point performance assessment device to execute each step of the network point performance assessment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the various steps of the network point performance assessment method as described in any one of claims 1 to 7 are implemented.

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