Logistics arbitration order receiving configuration method and device, equipment and storage medium

Abstract

The invention relates to the technical field of logistics arbitration management, in particular to a logistics arbitration order receiving configuration method and device, equipment and a storage medium. The logistics arbitration order receiving configuration method comprises the following steps: acquiring an arbitration request, and classifying the arbitration request by adopting a classification model to obtain a dispute type of the arbitration request; outputting a corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request; if the integrity degree of the key data meets the requirement, allocating the arbitration request according to a pre-established order receiving rule and a dispute type to obtain an allocation result; and establishing an arbitration rule, constructing an arbitration process according to the arbitration rule, the distribution result and the key data, and outputting the arbitration process to related personnel. According to the invention, evidence checking and distribution can be carried out on the arbitration request, the labor cost of an enterprise can be reduced, and the efficiency and quality of arbitration can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics arbitration management, and in particular to a logistics arbitration order configuration method, device, equipment and storage medium. Background Art

[0002] Traditional logistics arbitration mainly relies on manual judgment and processing, which is inefficient and takes a long time. In the arbitration process, the fairness of the arbitration results may be poor due to factors such as the knowledge level, experience differences and personal bias of the arbitrators. In addition, manual processing of the increasing number of dispute cases requires a lot of time and manpower costs, which is difficult to meet the needs of the rapidly developing logistics industry for efficient dispute resolution. With the rapid development of information technology, the logistics industry is also constantly introducing advanced technical means to improve management level and service quality. However, in the field of logistics arbitration, it is currently impossible to fully utilize the advantages of information technology to achieve rapid allocation and processing of disputes. It can be seen that the existing technology still needs to be improved and improved. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a logistics arbitration order configuration method, device, equipment and storage medium, aiming to solve the technical problems in the prior art that the processing speed of logistics arbitration is slow and the fairness of logistics arbitration needs to be improved.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A first aspect of the present invention provides a logistics arbitration order configuration method, comprising the following steps: obtaining an arbitration request, classifying the arbitration request using a classification model to obtain the dispute type of the arbitration request; outputting a corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request, and judging the completeness of the key data; if the completeness of the key data meets the requirements, allocating the arbitration request according to pre-established order acceptance rules and dispute types to obtain an allocation result; establishing arbitration rules, constructing an arbitration process according to the arbitration rules, the allocation results and the key data, and outputting the arbitration process to relevant personnel.

[0006] Optionally, in a first implementation manner of the first aspect of the present invention, the obtaining of the arbitration request and the classification of the arbitration request using a classification model to obtain the dispute type of the arbitration request specifically include: obtaining historical dispute data, extracting feature data in the historical dispute data to form a training data set, the feature data including: dispute description, evidence type, and logistics links; establishing a basic model using a machine learning algorithm, and training the basic model using the training data set to obtain a classification model; and classifying the arbitration request using the classification model to obtain the dispute type of the arbitration request.

[0007] Optionally, in a second implementation of the first aspect of the present invention, the acquiring of historical dispute data and the extraction of characteristic data from the historical dispute data to form a training data set, wherein the characteristic data include: dispute description, evidence type, and logistics link, specifically include: acquiring historical dispute data and performing data cleaning on the historical dispute data to obtain first processed data; extracting characteristic data from the first processed data to obtain second processed data, wherein the characteristic data include: dispute description, evidence type, and logistics link; labeling the second processed data to obtain third processed data, and forming a training data set with the third processed data.

[0008] Optionally, in a third implementation method of the first aspect of the present invention, the output of the corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request and judge the completeness of the key data specifically includes: formulating corresponding evidence provision rules according to each dispute type; constructing an evidence filling template according to the evidence provision rules, and outputting the evidence filling template to obtain key data related to the arbitration request; obtaining the filled-in evidence filling template, detecting and calculating the content completeness of the evidence filling template, obtaining the completeness result, and judging whether the key data meets the requirements according to the completeness result.

[0009] Optionally, in a fourth implementation method of the first aspect of the present invention, the obtaining of a completed evidence filling template, detecting and calculating the completeness of the content of the evidence filling template, obtaining a completeness result, and judging whether the key data meets the requirements based on the completeness result specifically include: obtaining a completed evidence filling template, detecting the blank cells of the evidence filling template, and calculating first completeness data based on the number of blank cells; extracting video data, audio data or photo data in the evidence filling template, detecting the clarity of the video data, audio data or photo data to obtain second completeness data; calculating the completeness result based on the first completeness data and the second completeness data, and judging whether the key data meets the requirements based on the completeness result.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, if the completeness of the key data meets the requirements, the arbitration request is allocated according to pre-established order acceptance rules and dispute types to obtain an allocation result, specifically including: obtaining background information data of the arbitrator, and setting the priority of the arbitrator's arbitration request for different dispute types according to the background information data to obtain priority data; establishing an importance grading system for arbitration requests, and establishing order acceptance rules according to the importance grading system and priority data; if the completeness of the key data meets the requirements, extracting important information of the arbitration request, and calculating the importance of the arbitration request based on the important information; obtaining the workload data of the arbitrator, using an order acceptance allocation algorithm, and allocating the arbitration request according to the order acceptance rules, dispute type, importance and load data to obtain an allocation result.

[0011] Optionally, in a sixth implementation manner of the first aspect of the present invention, the establishing of arbitration rules, constructing an arbitration process according to the arbitration rules, allocation results and key data, and outputting the arbitration process to relevant personnel specifically includes: establishing arbitration rules, the arbitration rules including arbitration time requirements, participant requirements, and arbitration procedures, forming multiple process nodes according to the arbitration procedures, and setting and marking the end time of each process node according to the arbitration time requirements; setting and marking relevant personnel of each process node according to the participant requirements and allocation results; constructing an arbitration process according to the arbitration rules, process nodes, allocation results and key data, and outputting the arbitration process to relevant personnel to obtain feedback data, and updating the arbitration process according to the feedback data.

[0012] The second aspect of the present invention provides a logistics arbitration order configuration device, including: a classification module, used to obtain arbitration requests, and use a classification model to classify the arbitration requests to obtain the dispute type of the arbitration request; a judgment module, used to output a corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request and judge the completeness of the key data; an allocation module, used to allocate the arbitration request according to pre-established order acceptance rules and dispute types if the completeness of the key data meets the requirements to obtain an allocation result; an establishment module, used to establish arbitration rules, construct an arbitration process according to the arbitration rules, allocation results and key data, and output the arbitration process to relevant personnel.

[0013] Optionally, in a first implementation method of the second aspect of the present invention, the classification module includes: an acquisition submodule, used to acquire historical dispute data, extract feature data in the historical dispute data to form a training data set, and the feature data includes: dispute description, evidence type, and logistics link; a training submodule, used to use a machine learning algorithm to establish a basic model, and use the training data set to train the basic model to obtain a classification model; a classification submodule, used to classify the arbitration request using the classification model to obtain the dispute type of the arbitration request.

[0014] Optionally, in a second implementation of the second aspect of the present invention, the acquisition submodule includes: a first processing unit, used to acquire historical dispute data, and perform data cleaning on the historical dispute data to obtain first processed data; a second processing unit, used to extract feature data from the first processed data to obtain second processed data, and the feature data includes: dispute description, evidence type, and logistics link; a third processing unit, used to label the second processed data to obtain third processed data, and form a training data set with the third processed data.

[0015] Optionally, in a third implementation method of the second aspect of the present invention, the judgment module includes: a formulation sub-module, used to formulate corresponding evidence provision rules according to each dispute type; a construction sub-module, used to construct an evidence filling template according to the evidence provision rules, and output the evidence filling template to obtain key data related to the arbitration request; a judgment sub-module, used to obtain the filled-in evidence filling template, detect and calculate the content completeness of the evidence filling template, obtain the completeness result, and judge whether the key data meets the requirements based on the completeness result.

[0016] Optionally, in a fourth implementation method of the second aspect of the present invention, the judgment submodule includes: a first calculation unit, used to obtain a filled-in evidence filling template, detect blank cells in the evidence filling template, and calculate first completeness data based on the number of blank cells; a second calculation unit, used to extract video data, audio data or photo data in the evidence filling template, detect the clarity of the video data, audio data or photo data to obtain second completeness data; a third calculation unit, used to calculate a completeness result based on the first completeness data and the second completeness data, and judge whether the key data meets the requirements based on the completeness result.

[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the allocation module includes: a setting unit, used to obtain background information data of the arbitrator, and set the priority of the arbitrator's arbitration request for different dispute types according to the background information data to obtain priority data; a grading unit, used to establish an importance grading system for arbitration requests, and establish order acceptance rules according to the importance grading system and priority data; a fourth calculation unit, used to extract important information of the arbitration request if the completeness of the key data meets the requirements, and calculate the importance of the arbitration request based on the important information; an allocation unit, used to obtain the workload data of the arbitrator, adopt an order acceptance allocation algorithm, and allocate the arbitration request according to the order acceptance rules, dispute type, importance and load data to obtain an allocation result.

[0018] Optionally, in a sixth implementation manner of the second aspect of the present invention, the establishment module includes: an establishment unit, used to establish arbitration rules, the arbitration rules include arbitration time requirements, participant requirements, and arbitration procedures, multiple process nodes are formed according to the arbitration procedures, and the end time of each process node is set and marked according to the arbitration time requirements; a configuration unit, used to set and mark relevant personnel of each process node according to the participant requirements and allocation results; a construction unit, used to construct an arbitration process according to the arbitration rules, process nodes, allocation results and key data, output the arbitration process to relevant personnel to obtain feedback data, and update the arbitration process according to the feedback data.

[0019] The third aspect of the present invention provides a logistics arbitration order configuration device, comprising a memory and at least one processor, wherein the memory stores computer-readable instructions; the at least one processor calls the computer-readable instructions in the memory to execute the various steps of the logistics arbitration order configuration method as described above.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium having computer-readable instructions stored thereon, which, when executed by a processor, implement the various steps of the logistics arbitration order configuration method as described above.

[0021] Beneficial effects: The present invention provides a logistics arbitration order configuration method, which first obtains an arbitration request, classifies the arbitration request using a classification model, obtains the dispute type of the arbitration request, and quickly classifies the arbitration request, then outputs a corresponding evidence filling template according to the dispute type of the arbitration request, thereby obtaining key data related to the arbitration request, judges the completeness of the key data, and automatically completes the acquisition of the key data, greatly reducing personnel participation and reducing labor costs; if the completeness of the key data meets the requirements, the acceptance request data is allocated according to the pre-established order acceptance rules and dispute types, thereby obtaining the allocation results, and no personnel participation is required when allocating arbitration processing tasks, thereby improving the process establishment speed, and enabling arbitrators to be more adapted to the content of the arbitration request, thereby improving the fairness of the arbitration results, and finally establishing arbitration rules, constructing an arbitration process according to the arbitration rules, the allocation results and the key data, outputting the arbitration process to relevant personnel, automatically notifying relevant personnel of the arbitration processing task, and allowing relevant personnel to be informed of the progress in a timely manner according to the arbitration process, thereby improving service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A first flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0023] Figure 2 A second flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0024] Figure 3 A third flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0025] Figure 4 A fourth flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0026] Figure 5 A fifth flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0027] Figure 6 A sixth flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0028] Figure 7 A seventh flow chart of the logistics arbitration order configuration method provided in an embodiment of the present invention;

[0029] Figure 8 A schematic diagram of a structure of a logistics arbitration order configuration device provided in an embodiment of the present invention;

[0030] Fig. 9Another structural schematic diagram of the logistics arbitration order configuration device provided in an embodiment of the present invention;

[0031] Fig.10 A schematic diagram of the structure of a logistics arbitration order configuration device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The present invention provides a logistics arbitration order configuration method, device, equipment and storage medium. The present invention first obtains an arbitration request, and uses a classification model to classify the arbitration request to obtain the dispute type of the arbitration request; then outputs the corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request, and judges the completeness of the key data; if the completeness of the key data meets the requirements, the arbitration request is then allocated according to the pre-established order acceptance rules and dispute types to obtain the allocation result; finally, by establishing arbitration rules, and constructing an arbitration process according to the arbitration rules, the allocation results and key data, the arbitration process is output to relevant personnel. Through the present invention, the efficiency and quality of logistics arbitration can be effectively improved. By classifying arbitration requests, arranging corresponding arbitrators for different types of arbitration requests, and combining reasonable configuration of arbitration order acceptance rules, logistics disputes can be quickly and accurately handled, and the efficiency and quality of arbitration, as well as the fairness and accuracy of arbitration results, can be 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. It should be noted that the relevant steps involved in obtaining user personal information in the present invention are all performed with the user's authorization.

[0035] See also Figure 1 The first embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0036] S101. Obtain an arbitration request, and classify the arbitration request using a classification model to obtain a dispute type of the arbitration request;

[0037] Specifically, when a user needs to initiate arbitration for a dispute, he or she can fill in the dispute items through the system. Different dispute items involve different departments and evidence documents. Therefore, before assigning an arbitration request, the dispute type needs to be classified in order to facilitate the establishment of an arbitration process more quickly. In the past, the applicant was required to select the type of dispute, but there were many types of dispute types, and when the content of the dispute was unclear, the dispute type selected by the applicant often did not match the actual content of the dispute. This results in the subsequent assignment of arbitrators and other matters not matching the content of the arbitration request, which affects the fairness and accuracy of the arbitration to a certain extent. By using a classification model to classify arbitration requests, the accuracy of the classification can be ensured and the process can be accelerated without the applicant spending time on the selection of the dispute type.

[0038] S102. Output the corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request and determine the completeness of the key data;

[0039] There are many types of disputes. For example, during the transportation of goods, transportation delays may occur due to vehicle failures, traffic accidents, etc.; during the loading and unloading of goods, goods may be damaged due to improper operation; in terms of fee settlement, there may be unclear charges or disputes. For different types of disputes, the information that needs to be collected is different, especially for key data that are important for the arbitration result, which is different in arbitration requests of different dispute types. In this embodiment, by outputting the corresponding evidence filling template according to the dispute type of the arbitration request, the applicant can be guided to provide corresponding key data or key information, and try to ensure that the necessary evidence and data are collected before the arbitration, reducing the repeated supplementation of information, thereby improving processing efficiency. Furthermore, the system of this embodiment can automatically judge the completeness of key data without manual inspection one by one, which can not only reduce labor costs, but also improve inspection efficiency and reduce human errors.

[0040] S103. If the completeness of the key data meets the requirements, the arbitration request is allocated according to the pre-established order acceptance rules and dispute types to obtain an allocation result;

[0041] During the use of the system, when the completeness of key data does not meet the requirements, the system will pop up a prompt to require the key data to be supplemented to ensure that the completeness of the key data meets the minimum requirements.

[0042] If the completeness of key data meets the requirements, the system will automatically allocate arbitration requests according to the order acceptance rules and classification results, taking into account the dispute type and order acceptance rules. Specifically, the order acceptance rules include the processing department corresponding to the dispute type, the time limit for order acceptance, and personnel requirements. If it involves urgent dispute cases, they can be handled with priority according to the order acceptance rules. This will improve the flexibility and matching of arbitration request allocation.

[0043] S104. Establish arbitration rules, construct an arbitration process according to the arbitration rules, allocation results and key data, and output the arbitration process to relevant personnel.

[0044] Specifically, the arbitration rules should include the arbitration procedures and clarify the process. For example, it should include the procedures for investigation and evidence collection, the stages of statements and debates by both parties, and the making of the final award. Ensure that each stage of the arbitration process has clear time nodes and operating specifications to improve the efficiency and fairness of the arbitration. Based on the arbitration rules, allocation results and key data, the system can automatically form the arbitration process, automatically set the time nodes and configure the relevant arbitrators, and finally notify each participant through the system to ensure that the arbitration process proceeds in an orderly manner.

[0045] See also Figure 2 The second embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0046] S201. Obtain historical dispute data, extract feature data from the historical dispute data to form a training data set, the feature data including: dispute description, evidence type, logistics link;

[0047] By reasonably extracting features from historical data, the feature data in the training data set can be made more representative and targeted, making the subsequent classification model more accurate. Specifically, when classifying arbitration requests, it is necessary to combine factors such as dispute description, evidence type, and logistics links. Among them, the logistics link can reflect at which stage of logistics the dispute occurs, and can most directly reflect the relevant responsible department, while the dispute description can reflect the specific responsible person, and the evidence type specifically refers to which type of evidence is targeted, such as goods evidence, customer service evidence, logistics delay evidence, etc.

[0048] S202. Using a machine learning algorithm to establish a basic model, and using the training data set to train the basic model to obtain a classification model;

[0049] Specifically, a dispute classification model can be established using machine learning algorithms such as support vector machine (SVM) and random forest. During training, feature data such as dispute description, evidence type, and logistics links involved will be automatically input into the basic model for training, thereby obtaining a classification model.

[0050] S203. Classify the arbitration request using a classification model to obtain the dispute type of the arbitration request.

[0051] Through training on a large amount of historical dispute data, the classification model can automatically identify the types of disputes, such as automatically classifying arbitration requests into different types such as cargo damage, transportation delays, and cost disputes. By using the classification model for classification, labor costs can be effectively reduced, and users do not need to choose the type of dispute based on their own judgment, which reduces errors and facilitates the subsequent assignment of more appropriate arbitrators to be responsible for the arbitration request, thereby improving the accuracy and fairness of the arbitration results.

[0052] See also Figure 3 The third embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0053] S301. Obtain historical dispute data, and clean the historical dispute data to obtain first processed data;

[0054] Specifically, data cleaning includes the following steps: (1) Processing missing data. For missing data, choose to ignore, fill in default values, or fill in default values ​​based on other data according to the settings. When filling in default values, you can use mean filling, regression analysis, Bayesian calculation and other methods. (2) Processing noisy data. Noise data mainly includes erroneous data and duplicate data. For erroneous data, it is necessary to correct or delete it. For duplicate data, it is necessary to deduplicate it. (3) Consistency check. Check whether the data meets the requirements based on the reasonable value range and mutual relationship of the data. When data is found to be beyond the normal range or logically unreasonable, it needs to be corrected or deleted. After data cleaning, the cleaned data needs to be verified to ensure the accuracy and consistency of the data. Sampling inspection, comparative analysis and other methods can be used for verification.

[0055] Data cleaning can remove errors, inaccuracies, and incomplete information from data, and improve the accuracy and credibility of data.

[0056] S302. Extracting characteristic data from the first processed data to obtain second processed data, wherein the characteristic data includes: dispute description, evidence type, and logistics link;

[0057] S303. Label the second processed data to obtain third processed data, and form a training data set with the third processed data.

[0058] Specifically, the specific requirements for annotation can be clarified according to the purpose of feature data, such as the category and format of annotation. The labeled data can provide richer information for machine learning models, which helps the models better understand and identify data. In addition, high-quality labeled data can reduce the model's misidentification rate and missed recognition rate, and improve the model's accuracy and efficiency.

[0059] By preprocessing historical dispute data, we can ensure the quality and accuracy of the data and improve the classification effect of the model. In addition, we can also improve the accuracy and generalization ability of the model by continuously optimizing the parameters and structure of the model.

[0060] See also Figure 4 The fourth embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0061] S401. Formulate corresponding rules for providing evidence according to the types of disputes;

[0062] For example, in the case of cargo damage disputes, provide proof of cargo loss or destruction, such as photos, inspection reports, loss lists, etc.; provide relevant records of the transportation process, such as loading bills, unloading bills, transportation logs, etc.; if third-party liability is involved, relevant liability determination certificates should be provided; it is also necessary to provide the waybill number and information of those involved in the accident.

[0063] For another example, in case of transportation delay disputes, the transportation records or tracking information of the logistics company should be provided to prove that the goods were delayed during transportation. These records should include detailed information such as the transportation track, arrival time, and stay time of the goods; the transportation contract signed by both parties should be provided as the basic evidence to prove the rights and obligations of both parties; and the delivery note, receipt or receipt should be provided to prove that the goods have been sent and received on time. These documents should contain key information such as detailed information of the goods, delivery and receipt time, and transportation method.

[0064] S402. According to the evidence provision rules, construct an evidence filling template, and output the evidence filling template to obtain key data related to the arbitration request;

[0065] By outputting the evidence filling template, the applicant can provide relevant evidence in an organized manner to avoid missing key data. Some necessary key data, such as order number, photos of damaged goods, etc., must be filled in or provided. The system will mark and remind you when outputting the evidence filling template.

[0066] S403. Obtain the completed evidence filling template, detect and calculate the content completeness of the evidence filling template, obtain the completeness result, and determine whether the key data meets the requirements based on the completeness result.

[0067] When the completeness of the evidence filling template is too low, there is too little necessary evidence and necessary information to represent the arbitration request, and the arbitration process cannot be carried out normally. The applicant is required to further supplement and fill in the necessary information according to the evidence filling template. For matters that must be filled in, if the applicant does not fill in, it will be directly judged as not meeting the requirements. For other optional items, if the detected evidence filling template completeness results meet the requirements, there is no need to fill them in. If the template completeness results still do not meet the requirements, it is necessary to further fill in some optional items to ensure that the minimum value of the test is reached.

[0068] See also Figure 5 The fifth embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0069] S501. Obtain the filled evidence filling template, detect the blank cells of the evidence filling template, and calculate the first completeness data according to the number of blank cells;

[0070] Specifically, the first completeness data can be defined as the ratio of the number of filled cells in the evidence filling template to the total number of cells. By traversing all cells in the evidence filling template, the number of cells with filled content is counted. Then the total number of all cells in the template is calculated, and the first completeness data can be obtained by combining the number of cells with filled content with the total number of all cells.

[0071] S502. Extract the video data, audio data or photo data in the evidence filling template, detect the clarity of the video data, audio data or photo data to obtain the second integrity data;

[0072] For video data, the video resolution, frame rate, color reproduction, and whether there is freezing or blur can be used to evaluate whether the video clarity meets the requirements. For audio recording data, the sound quality, volume, and whether there is noise or distortion can be used to evaluate whether the audio recording clarity meets the requirements. For photo data, the photo resolution, color saturation, contrast, and detail can be used to evaluate whether the photo clarity meets the requirements.

[0073] S503. Calculate the integrity result according to the first integrity data and the second integrity data, and determine whether the key data meets the requirements according to the integrity result.

[0074] Specifically, an evaluation index system can be constructed. This system includes multiple first-level indicators (such as first completeness data) and multiple second-level indicators (such as second completeness data). By setting weights for different indicators, the completeness of the template content can be fully and accurately reflected.

[0075] See also Figure 6The sixth embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0076] S601. Obtaining background information data of the arbitrator, and setting the priority of the arbitrator's arbitration request for different types of disputes according to the background information data to obtain priority data;

[0077] Specifically, considering that different arbitrators have different professional backgrounds, arbitration experience and work experience, different arbitrators have different adaptability to arbitration requests for different types of disputes. By setting the priority of arbitration requests for different types of disputes for each arbitrator, the system can make the arbitrator more adaptable to the arbitration request when allocating arbitration requests, thereby improving the fairness and accuracy of arbitration.

[0078] S602. Establish a classification system for the importance of arbitration requests, and establish order acceptance rules based on the classification system and priority data;

[0079] By establishing order acceptance rules in advance, the system can automatically allocate arbitration requests according to the order acceptance rules. In one approach, the order acceptance rules are as follows: For some more important or urgent arbitration requests, they can be processed preferentially and handled by more experienced arbitrators.

[0080] For example, for disputes involving major cargo damage or cases involving high amounts of compensation, experienced arbitrators can be appointed to handle them; for general disputes over transportation delays, they can be assigned to the corresponding arbitrators in accordance with the normal order-taking process.

[0081] S603. If the completeness of the key data meets the requirements, extract the important information of the arbitration request, and calculate the importance of the arbitration request based on the important information;

[0082] Specifically, important information may include: the amount involved in the arbitration, the value of the goods, the severity of the accident, customer information, etc. Through these important information and the evaluation criteria set in advance, the system can calculate the importance of the arbitration request.

[0083] S604. Obtain the workload data of the arbitrators, and use an order allocation algorithm to allocate the arbitration requests according to the order acceptance rules, dispute type, importance, and workload data to obtain an allocation result.

[0084] When allocating arbitration requests, in addition to the order acceptance rules, the importance of the arbitration requests and the classification results, the arbitrator's load data must also be considered. For arbitrators with a large amount of accumulated unfinished work, their acceptance of new orders will be reduced.

[0085] Specifically, the order allocation algorithm can adopt a greedy algorithm, which gives priority to the arbitrator with the smallest workload based on the current workload of the arbitrator, and then considers other factors; the order allocation algorithm can also adopt a genetic algorithm, which simulates the biological evolution process to find the optimal order allocation scheme. Through the order allocation algorithm, different types of arbitration requests can be allocated to arbitrators with relevant professional knowledge and experience, thereby improving the efficiency and quality of arbitration.

[0086] See also Figure 7 The seventh embodiment of the logistics arbitration order configuration method in the embodiment of the present invention includes:

[0087] S701. Establish arbitration rules, which include arbitration time requirements, participant requirements, and arbitration procedures. Multiple process nodes are formed according to the arbitration procedures, and the end time of each process node is set and marked according to the arbitration time requirements;

[0088] The arbitration procedure includes evidence provision, evidence review, trial, and ruling, and these procedures have corresponding time nodes. By setting and marking the time and participants of the process nodes of the above procedures, the system can correctly establish the arbitration process and avoid errors in the order.

[0089] S702. According to the requirements of the participants and the allocation results, set and mark the relevant personnel of each process node;

[0090] Specifically, different process nodes require different personnel to complete. For example, the evidence provision stage needs to be completed by the applicant, and the debate stage requires the participation of multiple parties. By setting and marking the relevant personnel at the process nodes, the relevant parties can clearly understand the progress and the work they need to prepare, so that all parties involved can be fully prepared to ensure fairness and justice in the arbitration.

[0091] S703. Construct an arbitration process according to the arbitration rules, process nodes, allocation results and key data, output the arbitration process to relevant personnel to obtain feedback data, and update the arbitration process according to the feedback data.

[0092] Relevant personnel such as arbitrators, applicants and other stakeholders can see the time requirements of each process node and the requirements of participants according to the arbitration process, so as to avoid missing time. In addition, the system can automatically update the process according to the progress of the process or the evidence data fed back by the relevant parties. For example, if the applicant has completed the provision of evidence, the status of the process node will be updated in the process. This allows users to keep abreast of the latest progress and improve the user experience.

[0093] The above describes the logistics arbitration order configuration method in the embodiment of the present invention. The following describes the logistics arbitration order configuration device in the embodiment of the present invention. Figure 8 In one embodiment of the present invention, a logistics arbitration order configuration device includes:

[0094] A classification module 10 is used to obtain an arbitration request and classify the arbitration request using a classification model to obtain a dispute type of the arbitration request;

[0095] A judgment module 20 is used to output a corresponding evidence filling template according to the dispute type of the arbitration request, so as to obtain key data related to the arbitration request and judge the completeness of the key data;

[0096] An allocation module 30, configured to allocate the arbitration request according to pre-established order acceptance rules and dispute types to obtain an allocation result if the completeness of the key data meets the requirements;

[0097] The establishment module 40 is used to establish arbitration rules, construct an arbitration process according to the arbitration rules, the allocation results and key data, and output the arbitration process to relevant personnel.

[0098] See also Fig. 9 In one embodiment of the present invention, a logistics arbitration order configuration device includes:

[0099] A classification module 10 is used to obtain an arbitration request and classify the arbitration request using a classification model to obtain a dispute type of the arbitration request;

[0100] A judgment module 20 is used to output a corresponding evidence filling template according to the dispute type of the arbitration request, so as to obtain key data related to the arbitration request and judge the completeness of the key data;

[0101] An allocation module 30, configured to allocate the arbitration request according to pre-established order acceptance rules and dispute types to obtain an allocation result if the completeness of the key data meets the requirements;

[0102] Establishing module 40, used to establish arbitration rules, construct arbitration process according to the arbitration rules, allocation results and key data, and output the arbitration process to relevant personnel;

[0103] In this embodiment, the classification module 10 includes:

[0104] The acquisition submodule 11 is used to acquire historical dispute data and extract feature data from the historical dispute data to form a training data set, wherein the feature data includes: dispute description, evidence type, and logistics link;

[0105] The training submodule 12 is used to establish a basic model using a machine learning algorithm, and train the basic model using the training data set to obtain a classification model;

[0106] A classification submodule 13, configured to classify the arbitration request using a classification model to obtain a dispute type of the arbitration request;

[0107] In this embodiment, the acquisition submodule 11 includes:

[0108] A first processing unit 111 is used to obtain historical dispute data and perform data cleaning on the historical dispute data to obtain first processed data;

[0109] The second processing unit 112 is used to extract feature data from the first processed data to obtain second processed data, wherein the feature data includes: dispute description, evidence type, and logistics link;

[0110] A third processing unit 113 is used to annotate the second processed data to obtain third processed data, and form a training data set with the third processed data;

[0111] In this embodiment, the judging module 20 includes:

[0112] A formulation submodule 21 is used to formulate corresponding evidence provision rules according to each dispute type;

[0113] A construction submodule 22 is used to construct an evidence filling template according to the evidence provision rules, and output the evidence filling template to obtain key data related to the arbitration request;

[0114] The judgment submodule 23 is used to obtain the filled evidence filling template, detect and calculate the content completeness of the evidence filling template, obtain the completeness result, and judge whether the key data meets the requirements according to the completeness result;

[0115] In this embodiment, the judgment submodule 23 includes:

[0116] A first calculation unit 231 is used to obtain a filled-in evidence filling template, detect empty cells in the evidence filling template, and calculate first integrity data according to the number of empty cells;

[0117] The second calculation unit 232 is used to extract the video data, audio data or photo data in the evidence filling template, and detect the clarity of the video data, audio data or photo data to obtain second integrity data;

[0118] A third calculation unit 233 is used to calculate an integrity result according to the first integrity data and the second integrity data, and determine whether the key data meets the requirements according to the integrity result;

[0119] In this embodiment, the allocation module 30 includes:

[0120] A setting unit 31, configured to obtain background information data of the arbitrator, and to set the priority of the arbitration request of the arbitrator for different types of disputes according to the background information data, so as to obtain priority data;

[0121] A grading unit 32, used to establish a grading system for the importance of arbitration requests, and to establish order acceptance rules based on the grading system for the importance and the priority data;

[0122] A fourth calculation unit 33 is configured to extract important information of the arbitration request if the completeness of the key data meets the requirements, and calculate the importance of the arbitration request according to the important information;

[0123] The allocation unit 34 is used to obtain the workload data of the arbitrators, and adopt an order allocation algorithm to allocate the arbitration request according to the order acceptance rules, dispute type, importance and workload data to obtain an allocation result;

[0124] In this embodiment, the establishing module 40 includes:

[0125] An establishing unit 41 is used to establish arbitration rules, wherein the arbitration rules include arbitration time requirements, participant requirements, and arbitration procedures, and multiple process nodes are formed according to the arbitration procedures, and the end time of each process node is set and marked according to the arbitration time requirements;

[0126] The configuration unit 42 is used to set and mark the relevant personnel of each process node according to the requirements of the participants and the allocation results;

[0127] The construction unit 43 is used to construct an arbitration process according to the arbitration rules, process nodes, allocation results and key data, output the arbitration process to relevant personnel to obtain feedback data, and update the arbitration process according to the feedback data.

[0128] The logistics arbitration order configuration device of the present invention obtains the arbitration request and classifies the arbitration request by using a classification model, thereby obtaining the dispute type of the arbitration request; then outputs the corresponding evidence filling template according to the dispute type of the arbitration request, thereby obtaining the key data related to the arbitration request, automatically completing the classification of the arbitration request and evidence collection, without the need for manual classification and manual inspection of the collected evidence data, thereby reducing the employment cost of the customer service department; then, by judging the completeness of the key data, if the completeness of the key data meets the requirements, the arbitration request is allocated according to the pre-established order acceptance rules and dispute type to obtain the allocation result, and during the allocation, it can be ensured that the arbitration request is allocated to an arbitrator with relevant experience or more corresponding, thereby ensuring the quality of arbitration; finally, by establishing arbitration rules, constructing an arbitration process according to the arbitration rules, the allocation results and the key data, and outputting the arbitration process to relevant personnel, the relevant parties can understand the progress and results of the arbitration in a timely manner, thereby improving the recognition of the arbitration results.

[0129] The above is a detailed description of the logistics arbitration order configuration device in the embodiment of the present invention from the perspective of modular functional entities. The following is a detailed description of the logistics arbitration order configuration device in the embodiment of the present invention from the perspective of hardware processing.

[0130] Fig.10 A schematic diagram of the structure of a logistics arbitration order configuration device provided in an embodiment of the present invention, the logistics arbitration order configuration 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 can 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 logistics arbitration order configuration 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 logistics arbitration order configuration device 900 to implement the steps of the logistics arbitration order configuration method provided in the above-mentioned method embodiments.

[0131] The logistics arbitration order configuration 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 Serve, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will appreciate that Fig.10 The structure of the logistics arbitration order configuration equipment shown does not constitute a limitation on the logistics arbitration order configuration equipment, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0132] 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 logistics arbitration order configuration method.

[0133] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the equipment or device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0134] 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.

[0135] It is understandable that those skilled in the art can make equivalent substitutions or changes based on the technical solution and inventive concept of the present invention, and all these changes or substitutions should fall within the protection scope of the claims attached to the present invention.

Claims

1. A logistics arbitration order configuration method, characterized in that: The steps include: Obtaining an arbitration request, and classifying the arbitration request using a classification model to obtain a dispute type of the arbitration request; Output the corresponding evidence filling template according to the dispute type of the arbitration request to obtain key data related to the arbitration request and judge the completeness of the key data; If the completeness of the key data meets the requirements, the arbitration request is allocated according to the pre-established order acceptance rules and dispute types to obtain an allocation result; Establish arbitration rules, construct an arbitration process according to the arbitration rules, allocation results and key data, and output the arbitration process to relevant personnel.

2. The logistics arbitration order configuration method according to claim 1 is characterized in that: The obtaining of the arbitration request, using a classification model to classify the arbitration request to obtain the dispute type of the arbitration request, specifically includes: Acquire historical dispute data, extract feature data from the historical dispute data to form a training data set, wherein the feature data includes: dispute description, evidence type, and logistics links; Using a machine learning algorithm to establish a basic model, and using the training data set to train the basic model to obtain a classification model; A classification model is used to classify the arbitration request to obtain the dispute type of the arbitration request.

3. The logistics arbitration order configuration method according to claim 2 is characterized in that: The historical dispute data is obtained, and feature data in the historical dispute data is extracted to form a training data set. The feature data includes: dispute description, evidence type, and logistics links, specifically including: Acquire historical dispute data, and perform data cleaning on the historical dispute data to obtain first processed data; Extracting feature data from the first processed data to obtain second processed data, the feature data including: dispute description, evidence type, and logistics links; The second processed data is labeled to obtain third processed data, and the third processed data is used to form a training data set.

4. The logistics arbitration order configuration method according to claim 1 is characterized in that: The output of the corresponding evidence filling template according to the dispute type of the arbitration request is to obtain key data related to the arbitration request and judge the completeness of the key data, including: Formulate corresponding rules for providing evidence according to the types of disputes; According to the evidence provision rules, construct an evidence filling template, and output the evidence filling template to obtain key data related to the arbitration request; Obtain the completed evidence filling template, detect and calculate the content completeness of the evidence filling template, obtain the completeness result, and determine whether the key data meets the requirements based on the completeness result.

5. The logistics arbitration order configuration method according to claim 4 is characterized in that: The step of obtaining the completed evidence filling template, detecting and calculating the content completeness of the evidence filling template, obtaining the completeness result, and judging whether the key data meets the requirements according to the completeness result specifically includes: Obtaining a completed evidence filling template, detecting blank cells of the evidence filling template, and calculating first completeness data according to the number of blank cells; Extracting video data, audio data or photo data in the evidence filling template, and detecting the clarity of the video data, audio data or photo data to obtain second integrity data; An integrity result is calculated according to the first integrity data and the second integrity data, and whether the key data meets the requirements is determined according to the integrity result.

6. The logistics arbitration order configuration method according to claim 1, characterized in that: If the completeness of the key data meets the requirements, the arbitration request is allocated according to the pre-established order acceptance rules and dispute types to obtain an allocation result, which specifically includes: Obtaining background information data of the arbitrator, and setting priorities of arbitration requests of the arbitrator for different types of disputes according to the background information data to obtain priority data; Establish a classification system for the importance of arbitration requests and establish order acceptance rules based on the classification system and priority data; If the completeness of the key data meets the requirements, extract the important information of the arbitration request, and calculate the importance of the arbitration request based on the important information; The workload data of the arbitrators is obtained, and an order allocation algorithm is used to allocate the arbitration requests according to the order acceptance rules, dispute types, importance and workload data to obtain an allocation result.

7. The logistics arbitration order configuration method according to claim 1 is characterized in that: The establishing of arbitration rules, constructing an arbitration process according to the arbitration rules, the allocation results and key data, and outputting the arbitration process to relevant personnel specifically includes: Establish arbitration rules, which include arbitration time requirements, participant requirements, and arbitration procedures. Multiple process nodes are formed according to the arbitration procedures, and the end time of each process node is set and marked according to the arbitration time requirements. Set and mark the relevant personnel at each process node according to the requirements of the participants and the allocation results; An arbitration process is constructed according to the arbitration rules, process nodes, allocation results and key data, and the arbitration process is output to relevant personnel to obtain feedback data, and the arbitration process is updated according to the feedback data.

8. A logistics arbitration order configuration device, characterized in that: include: A classification module, used to obtain an arbitration request and classify the arbitration request using a classification model to obtain a dispute type of the arbitration request; A judgment module is used to output a corresponding evidence filling template according to the dispute type of the arbitration request, so as to obtain key data related to the arbitration request and judge the completeness of the key data; An allocation module, configured to allocate the arbitration request according to pre-established order acceptance rules and dispute types to obtain an allocation result if the completeness of the key data meets the requirements; The establishment module is used to establish arbitration rules, construct an arbitration process according to the arbitration rules, allocation results and key data, and output the arbitration process to relevant personnel.

9. A logistics arbitration order configuration device, characterized in that: comprising a memory and at least one processor, wherein the memory has computer-readable instructions stored therein; The at least one processor calls the computer-readable instructions in the memory to execute the various steps of the logistics arbitration order configuration method as described in any one of claims 1-7.

10. A computer-readable storage medium having computer-readable instructions stored thereon, characterized in that: When the computer-readable instructions are executed by a processor, the various steps of the logistics arbitration order configuration method as described in any one of claims 1-7 are implemented.

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