Precious claim order identification and processing method and device, electronic equipment and storage medium
By automatically comparing hotel order prices and labeling the "buy expensive compensation" label, the existing "buy expensive compensation" service problems are solved, poor accuracy and opaque data, and efficient and accurate compensation processing and user experience improvement are achieved.
Patent Information
- Application Number
- CN202411353520.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2024-12-31
AI Technical Summary
The existing "buy expensive" service is inefficient, poor accuracy, poor user experience and opaque data, resulting in low efficiency, insufficient accuracy and low user satisfaction in handling hotel booking price differences.
By obtaining and preprocessing hotel order information, automatically compare prices with historical prices and real-time prices of third-party platforms, mark the 'buy expensive compensation' tag, and automatically review and compensation processing in the user appeal interface, improving identification and processing efficiency and accuracy, simplifying the process and increasing data transparency.
It realizes automatic identification and processing of 'buy expensive compensation' orders, reduces human misjudgment, improves the accuracy of compensation and user satisfaction, simplifies the appeal process, improves data transparency, and enhances users' trust and satisfaction with the platform. Spend.
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Figure CN119228495A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data analysis, and in particular to a method, device, electronic device and storage medium for identifying and processing overpayment orders. Background Art
[0002] With the development of online travel and e-commerce platforms, users have an increasing demand for hotel reservations on various platforms. However, due to frequent price changes, users may encounter price differences when booking the same hotel in different time periods or on different platforms. In order to improve user experience, the Hesi Mall platform has launched a "buy more expensive compensation" service, that is, if the user finds that the booking price is higher than the historical price or the price of other platforms, the platform will compensate for the price difference.
[0003] At present, the traditional "overpriced compensation" service mainly relies on users to manually submit complaints and the platform to manually review them. This method has the following problems:
[0004] Inefficiency: Users need to compare prices and submit complaints manually, which is time-consuming and labor-intensive. The platform requires manual review and the processing speed is slow.
[0005] Poor accuracy: Manual review is prone to omissions and misjudgments, affecting the accuracy of compensation;
[0006] Poor user experience: The cumbersome appeal process and long review wait time reduce user satisfaction;
[0007] Data opacity: Users cannot clearly understand the compensation standards and review progress, and there is a lack of transparency.
[0008] In summary, how to improve the efficiency, accuracy, user experience and data transparency of identifying and processing overpriced compensation orders has become a technical problem that needs to be solved urgently. Summary of the invention
[0009] In view of this, the purpose of the present invention is to provide a method, device, electronic device and storage medium for identifying and processing overpriced compensation orders, so as to alleviate the technical problems of low efficiency, poor accuracy, poor user experience and data opacity of existing "overpriced compensation" services.
[0010] In a first aspect, an embodiment of the present invention provides a method for identifying and processing overpriced compensation orders, which is applied to a system for identifying and processing overpriced compensation orders. The method includes:
[0011] Acquire hotel order information from an order management system, and pre-process the hotel order information to obtain pre-processed hotel order information, wherein the hotel order information includes: order number, check-in date, room type, price, and payment amount;
[0012] Compare the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determine whether the pre-processed hotel order information has a situation of overpayment according to the comparison results;
[0013] If the pre-processed hotel order information contains an overpayment compensation situation, then an overpayment compensation label is marked on the pre-processed hotel order information, wherein the overpayment compensation label includes: overpayment compensation amount, overpayment compensation reason and compensation standard;
[0014] Obtaining user complaint information on the user complaint interface regarding pre-processed hotel order information with a purchase-overpricing compensation label, and reviewing the complaint information;
[0015] If the review is passed, compensation will be made to the user corresponding to the hotel order information according to the corresponding compensation standards.
[0016] Furthermore, the hotel order information of the order management system is obtained, including:
[0017] Acquire hotel order information of the order management system through a data collection interface;
[0018] The hotel order information is saved in a database.
[0019] Further, the prices in the pre-processed hotel order information are compared with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and it is determined whether the pre-processed hotel order information has a situation of overpayment according to the comparison results, including:
[0020] Calculate the reasonable price of the pre-processed hotel order information according to the check-in date, room type in the pre-processed hotel order information and the check-in date, room type, and historical price in the historical hotel order information;
[0021] If the price in the pre-processed hotel order information is greater than the reasonable price, and the difference between the price in the pre-processed hotel order information and the reasonable price is greater than a first preset threshold, it is determined that the pre-processed hotel order information has an overpriced compensation situation;
[0022] If the price in the pre-processed hotel order information is greater than the real-time price of similar hotels on the third-party platform, and the difference between the price in the pre-processed hotel order information and the real-time price of similar hotels on the third-party platform is greater than a second preset threshold, it is determined that the pre-processed hotel order information has a situation of overpayment.
[0023] Further, marking the pre-processed hotel order information with a price-overpayment label includes:
[0024] Marking the overpayment label in the order details of the pre-processed hotel order information;
[0025] The pre-processed hotel order information with the overpayment label is saved in the database.
[0026] Furthermore, the method further comprises:
[0027] The pre-processed hotel order information with the overpayment label after the compensation is saved in the database;
[0028] Perform statistical analysis on the pre-processed hotel order information with the overpayment compensation label in the database after the compensation, and adjust the first preset threshold, the second preset threshold and the compensation standard according to the statistical analysis results.
[0029] Furthermore, the complaint information includes: pre-processed hotel order information and supporting materials with the overpayment compensation label.
[0030] Furthermore, the method further comprises:
[0031] Obtain user feedback on compensation results;
[0032] The first preset threshold, the second preset threshold and the compensation standard are adjusted according to the feedback information.
[0033] In a second aspect, an embodiment of the present invention further provides a device for identifying and processing overpriced compensation orders, which is applied to a system for identifying and processing overpriced compensation orders, and the device comprises:
[0034] An acquisition and preprocessing unit, used to acquire hotel order information from an order management system, and preprocess the hotel order information to obtain preprocessed hotel order information, wherein the hotel order information includes: order number, check-in date, room type, price, and payment amount;
[0035] A comparison unit is used to compare the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determine whether the pre-processed hotel order information has a situation of overpayment according to the comparison result;
[0036] a marking unit, for marking an overpayment label on the pre-processed hotel order information if there is an overpayment situation in the pre-processed hotel order information, wherein the overpayment label includes: an overpayment amount, a reason for the overpayment and a compensation standard;
[0037] An acquisition and review unit, used for acquiring the complaint information of the user on the user complaint interface regarding the pre-processed hotel order information with the overpayment label, and reviewing the complaint information;
[0038] The compensation unit is used to compensate the user corresponding to the hotel order information according to the corresponding compensation standard if the review is passed.
[0039] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.
[0040] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores machine-executable instructions. When the machine-executable instructions are called and executed by a processor, the machine-executable instructions prompt the processor to execute any method described in the first aspect above.
[0041] In an embodiment of the present invention, a method for identifying and processing overpriced compensation orders is provided, which is applied to an identification and processing system for overpriced compensation orders, the method comprising: obtaining hotel order information from an order management system, and preprocessing the hotel order information to obtain preprocessed hotel order information, wherein the hotel order information comprises: order number, check-in date, room type, price, and payment amount; comparing the prices in the preprocessed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on a third-party platform, and determining whether the preprocessed hotel order information has an overpriced compensation situation based on the comparison results; if the preprocessed hotel order information has an overpriced compensation situation, marking the preprocessed hotel order information with an overpriced compensation label, wherein the overpriced compensation label comprises: overpriced compensation amount, overpriced compensation reason, and compensation standard; obtaining complaint information of a user on a user complaint interface regarding the preprocessed hotel order information with the overpriced compensation label, and reviewing the complaint information; if the review is passed, compensating the user corresponding to the hotel order information according to the corresponding compensation standard. From the above description, it can be seen that the method for identifying and processing overpriced compensation orders of the present invention can automatically identify the overpriced compensation situations of hotel order information, reduce human misjudgment, improve the accuracy of compensation, simplify the user complaint process, shorten the review and compensation time, and improve user satisfaction. Clear labeling and real-time processing progress make data more transparent, increase user trust and satisfaction with the platform, and the whole process also improves the efficiency of overpriced compensation identification and processing, alleviating the technical problems of low efficiency, poor accuracy, poor user experience and data opacity of existing "overpriced compensation" services. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0043] Figure 1 A flowchart of a method for identifying and processing overpayment orders provided by an embodiment of the present invention;
[0044] Figure 2 A schematic diagram of a device for identifying and processing overpayment orders provided by an embodiment of the present invention;
[0045] Figure 3 A schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0046] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0047] The traditional "buy expensive and get compensation" service is inefficient, inaccurate, has a poor user experience, and has opaque data.
[0048] Based on this, the identification and processing method of overpriced compensation orders of the present invention can automatically identify the overpriced compensation situations of hotel order information, reduce human misjudgment, improve the accuracy of compensation, simplify the user complaint process, shorten the review and compensation time, and improve user satisfaction. Clear labeling and real-time processing progress make data more transparent, increase user trust and satisfaction with the platform, and the whole process also improves the efficiency of overpriced compensation identification and processing.
[0049] To facilitate understanding of this embodiment, firstly, a method for identifying and processing overpayment orders disclosed in an embodiment of the present invention is introduced in detail.
[0050] Embodiment 1:
[0051] According to an embodiment of the present invention, an embodiment of a method for identifying and processing overpayment orders is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0052] Figure 1 is a flow chart of a method for identifying and processing overpayment orders according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:
[0053] Step S102, obtaining hotel order information from the order management system, and preprocessing the hotel order information to obtain the preprocessed hotel order information, wherein the hotel order information includes: order number, check-in date, room type, price, and payment amount;
[0054] In an embodiment of the present invention, the above-mentioned method for identifying and processing overpriced compensation orders can be applied to a system for identifying and processing overpriced compensation orders.
[0055] Specifically, the collection of hotel order information is the basis of this system, and all hotel order information is automatically extracted and summarized through the order management system of Hesi Mall. The order management system will monitor and record the order details of the hotel order information in real time, including but not limited to order number, check-in date, room type, price, payment amount and other data. The identification and processing system of the overpriced order of the present invention is connected with the order management system to obtain the hotel order information of the order management system.
[0056] After obtaining the hotel order information, the overpriced order recognition and processing system pre-processes the hotel order information, specifically including: cleaning and standardization, removing duplicate and erroneous hotel order information, ensuring the accuracy of the hotel order information, and then obtaining the pre-processed hotel order information.
[0057] Step S104, comparing the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determining whether the pre-processed hotel order information has a situation of overpayment according to the comparison results;
[0058] Specifically, overpriced compensation identification is the core function of the overpriced compensation order identification and processing system. When implemented, the overpriced compensation order identification and processing system extracts the user's historical hotel order information from the database, and compares the price of the pre-processed hotel order information with the historical price in the historical hotel order information; at the same time, the overpriced compensation order identification and processing system regularly obtains the real-time prices of similar hotels from the third-party platform through the API interface or by using crawler technology, and compares the price of the pre-processed hotel order information with the real-time prices of similar hotels on the third-party platform. Finally, it is determined whether the pre-processed hotel order information involves overpriced compensation based on the comparison results.
[0059] Specifically, if the price of the pre-processed hotel order information is higher than the historical price in the historical hotel order information, it is considered that there is a "overpriced compensation" situation, or if the price of the pre-processed hotel order information is higher than the real-time price of similar hotels on the third-party platform, it is considered that there is also a "overpriced compensation" situation. This is just a brief introduction, and its specific implementation form is described in detail below. It is not limited here, and there may be other implementation methods.
[0060] Step S106, if the pre-processed hotel order information has a situation of overpayment, then mark the pre-processed hotel order information with an overpayment label, wherein the overpayment label includes: overpayment amount, overpayment reason and compensation standard;
[0061] Specifically, the amount of compensation for over-purchasing refers to the difference between the price in the pre-processed hotel order information and the reasonable price.
[0062] Reasons for overpayment: refers to the reasons leading to "overpayment", such as hotel price increase, platform promotion activities, etc.
[0063] Compensation standard: refers to the platform's compensation standard, for example, full compensation, price difference compensation, etc.
[0064] Step S108, obtaining the user's complaint information on the user complaint interface regarding the pre-processed hotel order information with the overpayment label, and reviewing the complaint information;
[0065] Specifically, users can select pre-processed hotel order information with the "overpriced compensation" label through web pages, apps, etc., and submit relevant materials to submit the above-mentioned complaint information. When implementing, a user complaint interface is designed and integrated into the user center of Hesi Mall. Users can submit complaint information on the pre-processed hotel order information with the "overpriced compensation" label on the user complaint interface.
[0066] When reviewing the complaint information, the recognition and processing system of overpayment orders can be used for automatic review, or the platform staff can review the user's complaint information to verify whether there is an "overpayment" situation. When implemented, develop an audit management system to support staff to quickly query order details, overpayment labels and supporting materials.
[0067] Step S110: If the review is passed, compensation will be made to the user corresponding to the hotel order information according to the corresponding compensation standard.
[0068] Specifically, the system for identifying and processing overpayment orders is integrated with a payment system, which can automatically process compensation payments and record compensation results.
[0069] In an embodiment of the present invention, a method for identifying and processing overpriced compensation orders is provided, which is applied to an identification and processing system for overpriced compensation orders, the method comprising: obtaining hotel order information from an order management system, and preprocessing the hotel order information to obtain preprocessed hotel order information, wherein the hotel order information comprises: order number, check-in date, room type, price, and payment amount; comparing the prices in the preprocessed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on a third-party platform, and determining whether the preprocessed hotel order information has an overpriced compensation situation based on the comparison results; if the preprocessed hotel order information has an overpriced compensation situation, marking the preprocessed hotel order information with an overpriced compensation label, wherein the overpriced compensation label comprises: overpriced compensation amount, overpriced compensation reason, and compensation standard; obtaining complaint information of a user on a user complaint interface regarding the preprocessed hotel order information with the overpriced compensation label, and reviewing the complaint information; if the review is passed, compensating the user corresponding to the hotel order information according to the corresponding compensation standard. From the above description, it can be seen that the method for identifying and processing overpriced compensation orders of the present invention can automatically identify the overpriced compensation situations of hotel order information, reduce human misjudgment, improve the accuracy of compensation, simplify the user complaint process, shorten the review and compensation time, and improve user satisfaction. Clear labeling and real-time processing progress make data more transparent, increase user trust and satisfaction with the platform, and the whole process also improves the efficiency of overpriced compensation identification and processing, alleviating the technical problems of low efficiency, poor accuracy, poor user experience and data opacity of existing "overpriced compensation" services.
[0070] The above content briefly introduces the identification and processing method of the overpayment order of the present invention, and the specific contents involved are described in detail below.
[0071] In an optional embodiment of the present invention, obtaining hotel order information from an order management system specifically includes the following steps:
[0072] (1) Obtain hotel order information from the order management system through the data collection interface;
[0073] (2) Save the hotel order information to the database.
[0074] Specifically, the identification and processing system for overpayment orders is designed with a data collection interface, which is connected to the order management system of Hesi Mall to obtain the hotel order information of the order management system. In this way, the real-time transmission and update of the hotel order information can be ensured. After obtaining the hotel order information, an efficient database (such as MySQL, MongoDB) is used to store and manage the hotel order information to ensure the integrity and traceability of the data.
[0075] In an optional embodiment of the present invention, the price in the pre-processed hotel order information is compared with the historical price in the historical hotel order information and the real-time price of the same hotel on the third-party platform, and it is determined whether the pre-processed hotel order information has a situation of overpayment according to the comparison result, which specifically includes the following steps:
[0076] (1) Calculate the reasonable price of the pre-processed hotel order information based on the check-in date, room type in the pre-processed hotel order information and the check-in date, room type, and historical price in the historical hotel order information;
[0077] Specifically, a reasonable price prediction model can be trained in advance, and the check-in date, room type, and historical price in the historical hotel order information (here, the historical hotel order information that has not been manually reviewed and confirmed to be overpriced) are used as training samples to train the original reasonable price prediction model, thereby obtaining a reasonable price prediction model. When applied, the check-in date and room type in the pre-processed hotel order information are input into the reasonable price prediction model, thereby obtaining a reasonable price for the pre-processed hotel order information.
[0078] The reasonable price of the pre-processed hotel order information can also be obtained by using a calculation formula. When implemented, the reasonable price = check-in date weight * average historical price of historical hotel order information with the same / similar check-in date as the pre-processed hotel order information (with a preset time interval) + room type weight * average historical price of historical hotel order information with the same room type as the pre-processed hotel order information, where check-in date weight + room type weight = 1.
[0079] A preset strategy can also be used to estimate a reasonable price. For example, a reasonable price is calculated based on the historical prices of historical hotel order information with the same check-in date and room type as the pre-processed hotel order information and a preset price floating value. If there is no historical hotel order information with the same check-in date and room type as the pre-processed hotel order information, then historical hotel order information with the same check-in date and room type as the pre-processed hotel order information is determined, and then a reasonable price is calculated based on the historical prices of the historical hotel order information, a relative price floating value of another different information (check-in date or room type), and a preset price floating value. The above-mentioned preset price floating value and relative price floating value are obtained by statistics.
[0080] (2) If the price in the pre-processed hotel order information is greater than the reasonable price, and the difference between the price in the pre-processed hotel order information and the reasonable price is greater than a first preset threshold, it is determined that the pre-processed hotel order information has a situation of overpayment;
[0081] Specifically, the first preset threshold may be a fixed proportion of a reasonable price, or may be a preset fixed value.
[0082] (3) If the price in the pre-processed hotel order information is greater than the real-time price of similar hotels on the third-party platform, and the difference between the price in the pre-processed hotel order information and the real-time price of similar hotels on the third-party platform is greater than a second preset threshold, it is determined that the pre-processed hotel order information has a situation of overpayment.
[0083] Specifically, the second preset threshold may be the same as the first preset threshold, or may be different from the first preset threshold, and no specific limitation is made here. When any of the above two situations is met, it is determined that the pre-processed hotel order information has a situation of overpayment.
[0084] In an optional embodiment of the present invention, marking the pre-processed hotel order information with a price-overpayment label specifically includes the following steps:
[0085] (1) Marking the "overpricing compensation" label in the order details of the pre-processed hotel order information;
[0086] (2) The pre-processed hotel order information with the overpriced compensation label is saved in the database.
[0087] Specifically, the pre-processed hotel order information with the overpriced compensation label is stored in the database for subsequent query and processing.
[0088] In an optional embodiment of the present invention, the method further comprises the following steps:
[0089] (1) saving the pre-processed hotel order information with the overpayment label after the compensation to the database;
[0090] (2) Performing statistical analysis on the pre-processed hotel order information with the "overpayment" label after compensation in the database, and adjusting the first preset threshold, the second preset threshold and the compensation standard according to the statistical analysis results.
[0091] Specifically, the above statistical analysis can be profit analysis and compensation quantity analysis. If the profit is very low and the compensation quantity is large, the first preset threshold and the second preset threshold are increased, and the compensation standard is set to price difference compensation; otherwise, the first preset threshold and the second preset threshold are reduced, and the compensation standard is set to price difference compensation.
[0092] By analyzing historical data, we continuously adjust and optimize the identification and processing processes to improve the accuracy and efficiency of the system.
[0093] In an optional embodiment of the present invention, the complaint information includes: pre-processed hotel order information and supporting materials with a "overpayment" label.
[0094] In an optional embodiment of the present invention, the method further comprises the following steps:
[0095] (1) Obtaining user feedback on compensation results;
[0096] (2) Adjusting the first preset threshold, the second preset threshold and the compensation standard according to the feedback information.
[0097] Specifically, the feedback information may be feedback on whether the user is satisfied with the compensation amount or feedback on the user's experience after check-in.
[0098] The identification and processing method of the overpriced purchase compensation order of the present invention realizes the efficiency, accuracy and transparency of the "overpriced purchase compensation" service. It improves the efficiency of the identification and processing of "overpriced purchase compensation", reduces the operating costs of users and the Hesi Mall platform; improves the accuracy of identification and processing, reduces errors caused by manual intervention; optimizes the user experience, simplifies the complaint process, and speeds up the compensation speed; improves data transparency, and enhances users' trust in the Hesi Mall platform. The specific performance is as follows:
[0099] Improved accuracy: Systematic price comparison and labeling reduce human errors and improve the accuracy of claims;
[0100] User experience optimization: simplified the user complaint process, shortened the review and compensation time, and improved user satisfaction;
[0101] Enhanced data transparency: Clear labeling and real-time processing progress increase users’ trust and satisfaction with the platform.
[0102] The key points include:
[0103] Automatic identification algorithm for overpayment: Based on the comparison algorithm of historical prices and real-time prices of third-party platforms, it can accurately identify overpayment situations;
[0104] Automatic labeling of overpayment labels: Automatically generate and label overpayment labels to record the amount, reason and standard of compensation;
[0105] Automatic processing of compensation for overpaying: Design of automated processes for user complaints, platform review and compensation processing.
[0106] Embodiment 2:
[0107] An embodiment of the present invention also provides a device for identifying and processing overpriced orders. The device for identifying and processing overpriced orders is mainly used to execute the method for identifying and processing overpriced orders provided in the first embodiment of the present invention. The following is a specific introduction to the device for identifying and processing overpriced orders provided in the embodiment of the present invention.
[0108] Figure 2 is a schematic diagram of a device for identifying and processing overpayment orders according to an embodiment of the present invention. Figure 2 As shown, the device mainly includes: an acquisition and preprocessing unit 10, a comparison unit 20, a marking unit 30, an acquisition and review unit 40, and a compensation unit 50, wherein:
[0109] The acquisition and preprocessing unit is used to acquire the hotel order information from the order management system and preprocess the hotel order information to obtain the preprocessed hotel order information, wherein the hotel order information includes: order number, check-in date, room type, price, and payment amount;
[0110] A comparison unit is used to compare the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determine whether the pre-processed hotel order information has a situation of overpayment according to the comparison result;
[0111] a marking unit, for marking an overpayment label on the pre-processed hotel order information if there is an overpayment situation in the pre-processed hotel order information, wherein the overpayment label includes: an overpayment amount, a reason for the overpayment and a compensation standard;
[0112] An acquisition and review unit, used for acquiring the complaint information of the user on the user complaint interface regarding the pre-processed hotel order information with the overpayment label, and reviewing the complaint information;
[0113] The compensation unit is used to compensate the user corresponding to the hotel order information according to the corresponding compensation standard if the review is passed.
[0114] In an embodiment of the present invention, a device for identifying and processing overpriced compensation orders is provided, which is applied to an identification and processing system for overpriced compensation orders, and the device comprises: obtaining hotel order information from an order management system, and preprocessing the hotel order information to obtain preprocessed hotel order information, wherein the hotel order information comprises: order number, check-in date, room type, price, and payment amount; comparing the price in the preprocessed hotel order information with the historical price in the historical hotel order information and the real-time price of similar hotels on a third-party platform, and determining whether the preprocessed hotel order information has an overpriced compensation situation based on the comparison result; if the preprocessed hotel order information has an overpriced compensation situation, marking the preprocessed hotel order information with an overpriced compensation label, wherein the overpriced compensation label comprises: overpriced compensation amount, overpriced compensation reason, and compensation standard; obtaining complaint information of a user on a user complaint interface for the preprocessed hotel order information with the overpriced compensation label, and reviewing the complaint information; if the review is passed, compensating the user corresponding to the hotel order information according to the corresponding compensation standard. From the above description, it can be seen that the identification and processing device for overpriced compensation orders of the present invention can automatically identify the overpriced compensation situation of hotel order information, reduce human misjudgment, improve the accuracy of compensation, simplify the user complaint process, shorten the review and compensation time, and improve user satisfaction. Clear labeling and real-time processing progress make data more transparent, increase user trust and satisfaction with the platform, and the whole process also improves the efficiency of overpriced compensation identification and processing, alleviating the technical problems of low efficiency, poor accuracy, poor user experience and data opacity of existing "overpriced compensation" services.
[0115] Optionally, the acquisition and preprocessing unit is further used to: acquire hotel order information from the order management system through a data collection interface; and save the hotel order information to a database.
[0116] Optionally, the comparison unit is also used to: calculate a reasonable price for the preprocessed hotel order information based on the check-in date, room type in the preprocessed hotel order information and the check-in date, room type and historical price in the historical hotel order information; if the price in the preprocessed hotel order information is greater than the reasonable price, and the difference between the price in the preprocessed hotel order information and the reasonable price is greater than a first preset threshold, then it is determined that the preprocessed hotel order information has an overpriced compensation situation; if the price in the preprocessed hotel order information is greater than the real-time price of similar hotels on a third-party platform, and the difference between the price in the preprocessed hotel order information and the real-time price of similar hotels on the third-party platform is greater than a second preset threshold, then it is determined that the preprocessed hotel order information has an overpriced compensation situation.
[0117] Optionally, the marking unit is further used to: mark an overpriced compensation label in the order details of the pre-processed hotel order information; and save the pre-processed hotel order information with the overpriced compensation label to a database.
[0118] Optionally, the device is also used to: save the pre-processed hotel order information with the overpriced compensation label after compensation to a database; perform statistical analysis on the pre-processed hotel order information with the overpriced compensation label after compensation in the database, and adjust the first preset threshold, the second preset threshold and the compensation standard according to the statistical analysis results.
[0119] Optionally, the complaint information includes: pre-processed hotel order information and supporting materials with a "overpricing compensation" label.
[0120] Optionally, the device is also used to: obtain user feedback information on the compensation result; and adjust the first preset threshold, the second preset threshold and the compensation standard according to the feedback information.
[0121] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.
[0122] like Figure 3 As shown, an electronic device 600 provided in an embodiment of the present application includes: a processor 601, a memory 602 and a bus, wherein the memory 602 stores machine-readable instructions executable by the processor 601. When the electronic device is running, the processor 601 communicates with the memory 602 through the bus, and the processor 601 executes the machine-readable instructions to perform the steps of the above-mentioned method for identifying and processing overpayment orders.
[0123] Specifically, the above-mentioned memory 602 and processor 601 can be general-purpose memory and processor, which are not specifically limited here. When the processor 601 runs the computer program stored in the memory 602, it can execute the above-mentioned method for identifying and processing overpayment orders.
[0124] The processor 601 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 601. The above processor 601 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 602, and the processor 601 reads the information in the memory 602 and completes the steps of the above method in combination with its hardware.
[0125] Corresponding to the above-mentioned method for identifying and processing overpriced orders, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores machine-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the steps of the above-mentioned method for identifying and processing overpriced orders.
[0126] The identification and processing device for overpayment orders provided in the embodiments of the present application can be specific hardware on the device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in the embodiments of the present application are the same as those of the aforementioned method embodiments. For the sake of brief description, the parts not mentioned in the device embodiment can refer to the corresponding contents in the aforementioned method embodiments. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.
[0127] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.
[0128] For another example, the flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the device, method and computer program product according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.
[0129] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0130] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0131] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for enabling an electronic 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 for identifying and processing overpriced compensation orders described in each embodiment of the present application. The aforementioned storage media include: 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.
[0132] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.
[0133] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solution of the present application, rather than to limit it. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the aforementioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solution recorded in the aforementioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solution deviate from the scope of the technical solution of the embodiment of the present application. They should all be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
Claims
1. A method for identifying and processing overpayment orders, characterized in that: A system for identifying and processing overpayment orders is applied to the method comprising: Acquire hotel order information from an order management system, and pre-process the hotel order information to obtain pre-processed hotel order information, wherein the hotel order information includes: order number, check-in date, room type, price, and payment amount; Compare the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determine whether the pre-processed hotel order information has a situation of overpayment according to the comparison results; If the pre-processed hotel order information contains an overpayment compensation situation, then an overpayment compensation label is marked on the pre-processed hotel order information, wherein the overpayment compensation label includes: overpayment compensation amount, overpayment compensation reason and compensation standard; Obtaining user complaint information on the user complaint interface regarding pre-processed hotel order information with a purchase-overpricing compensation label, and reviewing the complaint information; If the review is passed, compensation will be made to the user corresponding to the hotel order information according to the corresponding compensation standards.
2. The method according to claim 1, characterized in that Get hotel order information from the order management system, including: Acquire hotel order information of the order management system through a data collection interface; The hotel order information is saved in a database.
3. The method according to claim 1, characterized in that Compare the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determine whether the pre-processed hotel order information has a situation of overpayment according to the comparison results, including: Calculate the reasonable price of the pre-processed hotel order information according to the check-in date, room type in the pre-processed hotel order information and the check-in date, room type, and historical price in the historical hotel order information; If the price in the pre-processed hotel order information is greater than the reasonable price, and the difference between the price in the pre-processed hotel order information and the reasonable price is greater than a first preset threshold, it is determined that the pre-processed hotel order information has an overpriced compensation situation; If the price in the pre-processed hotel order information is greater than the real-time price of similar hotels on the third-party platform, and the difference between the price in the pre-processed hotel order information and the real-time price of similar hotels on the third-party platform is greater than a second preset threshold, it is determined that the pre-processed hotel order information has a situation of overpayment.
4. The method according to claim 1, characterized in that: The pre-processed hotel order information is marked with a price-overpayment label, including: Marking the overpayment label in the order details of the pre-processed hotel order information; The pre-processed hotel order information with the overpayment label is saved in the database.
5. The method according to claim 3, characterized in that: The method further comprises: The pre-processed hotel order information with the overpayment label after the compensation is saved in the database; Perform statistical analysis on the pre-processed hotel order information with the overpayment compensation label in the database after the compensation, and adjust the first preset threshold, the second preset threshold and the compensation standard according to the statistical analysis results.
6. The method according to claim 1, characterized in that The complaint information includes: pre-processed hotel order information and supporting materials with the overpayment compensation label.
7. The method according to claim 3, characterized in that The method further comprises: Obtain user feedback on compensation results; The first preset threshold, the second preset threshold and the compensation standard are adjusted according to the feedback information.
8. A device for identifying and processing overpriced compensation orders, characterized in that: A system for identifying and processing overpriced compensation orders is provided, the device comprising: An acquisition and preprocessing unit, used to acquire hotel order information from an order management system, and preprocess the hotel order information to obtain preprocessed hotel order information, wherein the hotel order information includes: order number, check-in date, room type, price, and payment amount; A comparison unit is used to compare the prices in the pre-processed hotel order information with the historical prices in the historical hotel order information and the real-time prices of similar hotels on the third-party platform, and determine whether the pre-processed hotel order information has a situation of overpayment according to the comparison result; a marking unit, for marking an overpayment compensation label on the pre-processed hotel order information if there is an overpayment compensation situation in the pre-processed hotel order information, wherein the overpayment compensation label includes: an overpayment compensation amount, an overpayment compensation reason and a compensation standard; An acquisition and review unit, used for acquiring the complaint information of the user on the user complaint interface regarding the pre-processed hotel order information with the overpayment label, and reviewing the complaint information; The compensation unit is used to compensate the user corresponding to the hotel order information according to the corresponding compensation standard if the review is passed.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores machine-executable instructions. When the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to execute the method according to any one of claims 1 to 7.
