Dynamic freight rate product evaluation method and device, electronic equipment and program product

Abstract

The invention discloses a dynamic freight rate product evaluation method and device, electronic equipment and a program product, and relates to the technical field of freight rate product evaluation.The evaluation method comprises the steps that a target product identifier of a target dynamic freight rate product is determined, and target log data of the target dynamic freight rate product is obtained based on the target product identifier; and based on the target log data, determining a line forming amount, a sale and search ratio and a sale and calculation ratio of the target dynamic freight rate product, and based on the line forming amount, the sale and search ratio and the sale and calculation ratio, determining an evaluation value of the target dynamic freight rate product by adopting a preset product evaluation strategy. The technical problem that the dynamic freight rate product cannot be continuously optimized due to the fact that the dynamic freight rate product cannot be accurately evaluated in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of freight rate product evaluation, and in particular to an evaluation method for dynamic freight rate products and a device, electronic equipment and program product thereof. Background Art

[0002] As airlines’ pricing policies become more refined and differentiated, the current static fares can no longer meet business needs. Therefore, rule-driven, dynamic regular fares (i.e., dynamic fares) are constructed. Airlines publish fare construction rules and dynamically construct new fares in real time for display and sales. Dynamic fares can construct fare construction rules for specific markets and specific consumers, without limiting specific amounts. Business rules are used to dynamically construct and generate fares during ticket sales transactions and participate in calculations.

[0003] Figure 1 It is a schematic diagram of an optional static freight rate and a dynamic freight rate comparison according to the related art, such as Figure 1 As shown in the figure, the difference between static amount freight rates and dynamic rule freight rates is demonstrated. Static amount freight rates are limited by sales rules to determine the specific amount of the final sale. Dynamic rule freight rates are generated by freight rate construction rules and are limited by sales rules to obtain the specific sales amount constructed in real time.

[0004] During the peak season for civil aviation, airline ticket sales are mainly based on published fares with higher price levels. Published fare products have fixed cabin space, clear fare base codes, specific amounts, etc. The sales volume can be intuitively analyzed and counted from the settlement sales data. The fare setting department can also update, abandon or develop new fare products in a timely manner based on market feedback, thereby achieving the purpose of closed-loop management of fare products to maximize the profits of airlines.

[0005] Figure 2 It is a schematic diagram of a closed-loop management process of an optional freight rate product according to the related art, such as Figure 2 As shown in the figure, the closed-loop management process of freight products includes: freight product formulation, freight product sales, sales volume analysis, and freight product value assessment. By formulating the prices of freight products in sequence, and then selling the formulated freight products, and then analyzing the sales volume of freight products based on the sales situation, the freight product assessment value is obtained. The freight product formulation department then updates, discards or develops new freight products in a timely manner based on the freight product assessment value, thereby realizing the closed-loop management of freight products.

[0006] During the off-season of civil aviation, airlines can formulate many dynamic fare products according to market conditions, such as discounts or price cuts based on published fares. However, dynamic fares have the characteristics of non-fixed space, dynamically generated fare base codes, short-term sales, and only applicable to short-term flights. Therefore, it is difficult to intuitively analyze the sales of a specific dynamic fare product from the settlement sales data. At the same time, the fare formulation department of the airline cannot get sales feedback from the market, and it is difficult to accurately evaluate the fare product, resulting in the inability to achieve closed-loop management of dynamic fare products, which in turn causes the problem of not being able to continuously optimize, improve and upgrade fare products in the future.

[0007] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0008] The embodiments of the present invention provide a method for evaluating a dynamic freight rate product and a device, electronic equipment and program product thereof, so as to at least solve the technical problem in the related art that the dynamic freight rate product cannot be accurately evaluated, resulting in the inability to continuously optimize the dynamic freight rate product.

[0009] According to one aspect of an embodiment of the present invention, a method for evaluating a dynamic fare product and its device, electronic device and program product are provided, including: determining a target product identifier of a target dynamic fare product; based on the target product identifier, obtaining target log data of the target dynamic fare product; based on the target log data, determining the number of trips, the sale-to-search ratio and the sale-to-calculation ratio of the target dynamic fare product, wherein the number of trips refers to the number of tickets for successful travel, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations; based on the number of trips, the sale-to-search ratio and the sale-to-calculation ratio, a preset product evaluation strategy is used to determine the evaluation value of the target dynamic fare product.

[0010] Furthermore, before determining the target product identifier of the target dynamic fare product, it also includes: constructing the preset product evaluation strategy, wherein the preset product evaluation strategy includes: a trip quantity parameter, a sale-to-search ratio parameter and a sale-to-calculation ratio parameter, the trip quantity parameter is used to indicate the number of tickets for successful travel, the sale-to-search ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare searches, and the sale-to-calculation ratio parameter is used to indicate the ratio between the number of tickets sold within the preset time period and the number of fare calculations; the preset product evaluation strategy is used to determine the evaluation value of the dynamic fare product.

[0011] Furthermore, before determining the target product identifier of the target dynamic freight rate product, it also includes: determining a dynamic freight rate basic string for each dynamic freight rate product, wherein the dynamic freight rate basic string is used to represent the business meaning of the dynamic freight rate product; based on the dynamic freight rate basic string, identifying the dynamic freight rate product to obtain the product identifier of the dynamic freight rate product.

[0012] Furthermore, the step of determining a dynamic freight base character string for each dynamic freight product includes: determining a sales strategy for restricting the dynamic freight product, and determining the same freight product restricted by the sales strategy as a static freight product corresponding to the dynamic freight product; when the static freight product is in a non-sale state, using an original freight base character string of the static freight product as the dynamic freight base character string; when the static freight product is in a sale state, determining a current price of the dynamic freight product based on the construction strategy used when constructing the dynamic freight product, and generating the dynamic freight base character string based on the current price and the full price of the dynamic freight product.

[0013] Furthermore, based on the target product identifier, the step of obtaining target log data of the target dynamic fare product includes: obtaining initial log data carrying the target product identifier from a preset database, wherein the preset database stores log data of multiple dynamic fare products, the log data at least including: log records of a fare search phase, log records of a fare calculation phase, each of the log records carrying a date; determining a sales date range and a flight date range of the target dynamic fare product; filtering sales log data within the sales date range from the initial log data, and filtering row log data within the flight date range from the initial log data; and characterizing the sales log data and the row log data as the target log data.

[0014] Furthermore, based on the target log data, the step of determining the travel volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic fare product includes: analyzing the sales log data to obtain the number of tickets sold for the target dynamic fare product within the sales date range; analyzing the travel log data to obtain the number of tickets successfully traveled for the target dynamic fare product within the flight date range, and characterizing the number of tickets as the travel volume; calculating the sale-to-search ratio and the sale-to-calculation ratio based on the sales log data and the number of tickets sold.

[0015] Furthermore, the step of calculating the sale-to-search ratio and the sale-to-calculation ratio based on the sales log data and the number of tickets sold includes: based on the sales log data, counting the number of fare searches recorded in the log records of the fare search phase and the number of fare calculations recorded in the log records of the fare calculation phase; calculating the sale-to-search ratio based on the number of fare searches and the number of tickets sold; calculating the sale-to-calculation ratio based on the number of fare calculations and the number of tickets sold.

[0016] According to another aspect of an embodiment of the present invention, there is further provided an evaluation device for a dynamic fare product, comprising: a first determination unit, for determining a target product identifier of a target dynamic fare product; an acquisition unit, for acquiring target log data of the target dynamic fare product based on the target product identifier; a second determination unit, for determining a trip volume, a sale-to-search ratio and a sale-to-calculation ratio of the target dynamic fare product based on the target log data, wherein the trip volume refers to the number of tickets for successful travel, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations; a third determination unit, based on the trip volume, the sale-to-search ratio and the sale-to-calculation ratio, adopts a preset product evaluation strategy to determine the evaluation value of the target dynamic fare product.

[0017] Furthermore, the evaluation device for the dynamic fare product also includes: a first construction module, used to construct the preset product evaluation strategy before determining the target product identifier of the target dynamic fare product, wherein the preset product evaluation strategy includes: a trip quantity parameter, a sale-to-search ratio parameter and a sale-to-calculation ratio parameter, the trip quantity parameter is used to indicate the number of tickets for successful trips, the sale-to-search ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare searches, and the sale-to-calculation ratio parameter is used to indicate the ratio between the number of tickets sold within the preset time period and the number of fare calculations; the preset product evaluation strategy is used to determine the evaluation value of the dynamic fare product.

[0018] Furthermore, the dynamic freight rate product evaluation device also includes: a first determination module, used to determine a dynamic freight rate basic string for each dynamic freight rate product before determining the target product identifier of the target dynamic freight rate product, wherein the dynamic freight rate basic string is used to represent the business meaning of the dynamic freight rate product; a first identification module, used to identify the dynamic freight rate product based on the dynamic freight rate basic string to obtain the product identifier of the dynamic freight rate product.

[0019] Furthermore, the evaluation device for the dynamic freight product also includes: a second determination module, used to determine a sales strategy for restricting the dynamic freight product, and determine the same freight product restricted by the sales strategy as a static freight product corresponding to the dynamic freight product; a first processing module, used to use the character string of the original freight basis of the static freight product as the dynamic freight basis character string when the static freight product is in a non-sale state; and a third determination module, used to determine the current price of the dynamic freight product based on the construction strategy used when constructing the dynamic freight product when the static freight product is in a sale state, and generate the dynamic freight basis character string based on the current price and the full price of the dynamic freight product.

[0020] Furthermore, the acquisition unit includes: a first acquisition module, used to acquire initial log data carrying the target product identifier from a preset database, wherein the preset database stores log data of multiple dynamic fare products, and the log data at least includes: log records of the fare search phase, log records of the fare calculation phase, and each of the log records carries a date; a fourth determination module, used to determine the sales date range and flight date range of the target dynamic fare product; a first screening module, used to screen the sales log data within the sales date range from the initial log data, and screen the row log data within the flight date range from the initial log data; a first characterization module, used to characterize the sales log data and the row log data as the target log data.

[0021] Furthermore, the second determination unit includes: a first analysis module, used to analyze the sales log data to obtain the number of tickets sold for the target dynamic fare product within the sales date range; a second characterization module, used to analyze the travel log data to obtain the number of tickets successfully traveled for the target dynamic fare product within the flight date range, and characterize the number of tickets traveled as the travel quantity; a first calculation module, used to calculate the sale-to-search ratio and the sale-to-calculation ratio based on the sales log data and the number of tickets sold.

[0022] Furthermore, the first calculation module includes: a first statistical submodule, used to count the number of fare searches recorded in the log records of the fare search phase and the number of fare calculations recorded in the log records of the fare calculation phase based on the sales log data; a first calculation submodule, used to calculate the sale-to-search ratio based on the number of fare searches and the number of tickets sold; and a second calculation submodule, used to calculate the sale-to-calculation ratio based on the number of fare calculations and the number of tickets sold.

[0023] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the evaluation method of any one of the dynamic freight rate products described above is implemented.

[0024] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any one of the above-mentioned methods for evaluating dynamic freight rate products.

[0025] In the present invention, by determining the target product identification of the target dynamic freight product, based on the target product identification, obtaining the target log data of the target dynamic freight product, and based on the target log data, determining the row volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic freight product, based on the row volume, sale-to-search ratio and sale-to-calculation ratio, and using a preset product evaluation strategy, determining the evaluation value of the target dynamic freight product, thereby solving the technical problem in the related art that the dynamic freight product cannot be accurately evaluated, resulting in the inability to continuously optimize the dynamic freight product.

[0026] In the present invention, the target product identifier of the target dynamic freight rate product can be determined first, and based on the target product identifier, a search is performed in the freight rate product log data to obtain the target log data of the target dynamic freight rate product, and based on the target log data, the row volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic freight rate product are determined, and then based on the row volume, sale-to-search ratio and sale-to-calculation ratio, and using a preset product evaluation strategy, an evaluation value of the target dynamic freight rate product is obtained, thereby realizing closed-loop management of dynamic freight rate products, which can not only analyze the sales of dynamic freight rate products, but also continuously optimize dynamic freight rate products and improve the dynamic freight rate product management mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0028] Figure 1 It is a schematic diagram of an optional comparison between static freight rates and dynamic freight rates according to the related art;

[0029] Figure 2 It is a schematic diagram of a closed-loop management process of an optional freight rate product according to the related art;

[0030] Figure 3is a flow chart of an optional method for evaluating a dynamic freight price product according to an embodiment of the present invention;

[0031] Figure 4 is a schematic diagram of an optional basic labeling of a dynamic freight rate product according to an embodiment of the present invention;

[0032] Figure 5 is a schematic diagram of optional tagging of travel numbers for dynamic fare products according to an embodiment of the present invention;

[0033] Figure 6 is a schematic diagram of an optional dynamic freight rate product evaluation process according to an embodiment of the present invention;

[0034] Figure 7 is a schematic diagram of an optional evaluation device for dynamic freight price products according to an embodiment of the present invention;

[0035] Figure 8 The present invention is a hardware structure block diagram of an electronic device (or mobile device) for a method for evaluating a dynamic freight price product according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0037] It should be noted that the terms "first", "second", etc. 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 of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "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.

[0038] To facilitate those skilled in the art to understand the present invention, some terms or nouns involved in the embodiments of the present invention are explained below:

[0039] Static fare products: fare products formulated by airlines, including target groups and specific sales amounts.

[0040] Dynamic fare products: fare products formulated by airlines are rule-driven and generate fares through dynamic calculations during the specific sales process.

[0041] Sales volume: The number of tickets sold for a fare product within a certain period of time.

[0042] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) collected and involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data are in compliance with the relevant laws, regulations and standards of the relevant regions, necessary confidentiality measures are taken, and public order and good customs are not violated, and corresponding operation entrances are provided for users to choose to authorize or refuse. For example, an interface is set between the system and the relevant users or organizations. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0043] In the present invention, through analyzing the characteristics of dynamic fares, it can be known that it is difficult for the fare formulation department of an airline to intuitively analyze the sales situation of dynamic fare products from sales data, and it is impossible to obtain sales feedback from the market, and thus it is impossible to accurately evaluate the dynamic fare products, thereby failing to achieve closed-loop management of dynamic fare products, resulting in difficulty in subsequent continuous optimization of dynamic fare products. Therefore, the present invention proposes an evaluation method for dynamic fare products, which generates a fare product evaluation value by adopting a preset product evaluation strategy and combining sales data and sales process log data analysis. The evaluation strategy can evaluate and score each dynamic fare product, and the fare product formulation department of the airline can intuitively obtain market feedback information based on the evaluation value, and compare the advantages and disadvantages of multiple dynamic fare products based on the evaluation value, and then continuously optimize and improve the fare products.

[0044] In the present invention, the dynamic fare products can be marked based on the dynamic fare basic character string of each dynamic fare product to obtain the product identification of the dynamic fare product, and then, the initial log data carrying the target product identification is obtained from the preset database, and the sales log data and the travel log data of the target dynamic fare product are obtained from the initial log data according to the sales date range and the flight date range of the target dynamic fare product. By analyzing the sales log data and the travel log data, the number of tickets sold within the sales date range, the number of tickets successfully traveled within the flight date range, the number of fare searches and the number of fare calculations are obtained to determine the travel volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic fare product. Afterwards, according to the travel volume, the sale-to-search ratio and the sale-to-calculation ratio, a preset product evaluation strategy is adopted to obtain the evaluation value of the target dynamic fare product, which can not only obtain the sales situation of the dynamic fare product, but also continuously optimize the dynamic fare product, thereby solving the technical problem that the dynamic fare product cannot be accurately evaluated in the related art, resulting in the inability to continuously optimize the dynamic fare product.

[0045] The present invention is described in detail below in conjunction with various embodiments.

[0046] Embodiment 1

[0047] According to an embodiment of the present invention, an embodiment of a method for evaluating a dynamic freight rate product 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.

[0048] Figure 3 is a flow chart of an optional method for evaluating a dynamic freight rate product according to an embodiment of the present invention. Figure 3 As shown, the method comprises the following steps:

[0049] Step S301, determining the target product identifier of the target dynamic freight price product.

[0050] Optionally, a target product identifier (ie, a character string with business meaning) of the target dynamic freight rate product may be determined, so that the log data of the target dynamic freight rate product can be quickly filtered according to the target product identifier.

[0051] In an embodiment of the present invention, the target dynamic fare product is a fare product formulated by an airline, and the fare can be generated by dynamic calculation during a specific sales process (such as a dynamic fare product during a promotion period, which can offer a 11% discount on all air tickets). In the fare formulation and release process, the published target dynamic fare product is marked so that the target dynamic fare product can be searched and located later.

[0052] It should be noted that the product identification of each dynamic freight rate product is different.

[0053] Step S302: acquiring target log data of a target dynamic freight price product based on the target product identifier.

[0054] Optionally, a search may be performed in all freight rate product log data according to the target product identifier to obtain the target log data of the target dynamic freight rate product.

[0055] In an embodiment of the present invention, the log data may include travel data (i.e., the number of tickets purchased for the fare product and ultimately successfully traveled within a certain time period), as well as fare search (i.e., the ticket price query operation during the price inquiry and comparison process when the ticket is sold) log data, fare calculation (i.e., when the ticket is sold, there is an intention to purchase the ticket, and the accurate fare calculation operation is performed before the ticket is issued) log data and other sales data.

[0056] Step S303, based on the target log data, determine the travel volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic fare product, where the travel volume refers to the number of tickets successfully traveled, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations.

[0057] Optionally, the fare product sales log data, fare product trip volume data, fare product search log data and fare product calculation log data can be queried in the target log data, and then the number of tickets sold, the number of tickets successfully traveled, the number of fare searches and the number of fare calculations can be obtained based on the sales log data, fare product trip volume data, fare search log data and fare calculation log data to determine the trip volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic fare product.

[0058] For example, if a fare product is searched 100 times before a ticket is successfully sold, the sale-search ratio is 1:100; if a fare product is accurately calculated 5 times before a ticket is successfully sold, the sale-calculation ratio is 1:5.

[0059] Step S304, based on the trip volume, the sale-to-search ratio and the sale-to-calculation ratio, a preset product evaluation strategy is adopted to determine the evaluation value of the target dynamic freight price product.

[0060] Optionally, based on the volume of trips, the sale-to-search ratio, and the sale-to-calculation ratio, a preset product evaluation strategy (i.e., a dynamic freight rate product evaluation model) is adopted to calculate the evaluation value of the target dynamic freight rate product, so that the target freight rate product can be optimized (such as adjusting the price of the freight rate product, upgrading the freight rate product, removing the freight rate product from the shelves, etc.) according to the evaluation value of the target dynamic freight rate product.

[0061] In the embodiment of the present invention, the number of trips completed is the result of the final successful trip. The number of trips completed can be used to avoid interference factors such as subsequent refunds and changes of air tickets, weather conditions, etc. If only the number of trips completed is calculated, the product cannot be well evaluated. Therefore, the sales process data is introduced to add the sales-to-search ratio and the sales-to-calculation ratio to the preset product evaluation strategy.

[0062] In an embodiment of the present invention, the dynamic freight rate product evaluation model adds the volume of trips, the sale-to-search ratio and the sale-to-calculation ratio to obtain an evaluation value of the dynamic freight rate product. By comparing the evaluation values ​​of different dynamic freight rate products, the quality of each dynamic freight rate product can be judged to help the freight rate setting department optimize the dynamic freight rate product.

[0063] It should be noted that each parameter of row volume, sales-to-search ratio and sales-to-calculation ratio can be analyzed and compared separately, so as to respectively reflect the sales results and the product performance in different links of the sales process.

[0064] In summary, the target product identifier of the target dynamic freight product can be determined, and based on the target product identifier, the target log data of the target dynamic freight product can be obtained, and then the row volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic freight product can be obtained and calculated according to the target log data. Then, based on the row volume, sale-to-search ratio and sale-to-calculation ratio, and by adopting a preset product evaluation strategy, the evaluation value of the target dynamic freight product can be obtained, thereby realizing closed-loop management of dynamic freight products, thereby improving the dynamic freight product management mechanism, and further solving the technical problem in related technologies that dynamic freight products cannot be accurately evaluated, resulting in the inability to continuously optimize dynamic freight products.

[0065] In order to accurately construct a preset product evaluation strategy, in the evaluation method for dynamic fare products provided in Example 1 of the present application, a preset product evaluation strategy can be constructed before determining the target product identifier of the target dynamic fare product, wherein the preset product evaluation strategy includes: a trip volume parameter, a sale-to-search ratio parameter, and a sale-to-calculation ratio parameter, the trip volume parameter is used to indicate the number of successful trip tickets, the sale-to-search ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare searches, and the sale-to-calculation ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare calculations; the preset product evaluation strategy is used to determine the evaluation value of the dynamic fare product.

[0066] Optionally, the number of tickets sold may be the number of dynamic fare products sold, the number of fare searches may be the number of times passengers search for dynamic fare products during the sales process, and a sales-to-search ratio parameter is obtained based on the ratio between the number of tickets sold and the number of fare searches within a preset time period (such as the sales time period of the fare product). The number of fare calculations may be the number of times the final selling price of the dynamic fare product is calculated, and a sales-to-calculation ratio parameter is obtained based on the ratio between the number of tickets sold and the number of fare calculations within the preset time period. A preset product evaluation strategy is then constructed based on the trip volume parameter (i.e. the number of tickets for successful trips), the sales-to-search ratio parameter and the sales-to-calculation ratio parameter.

[0067] For example, the following preset product evaluation strategy may be used to calculate the dynamic freight price product evaluation value:

[0068] V=N+R SS +R SP (1);

[0069] Among them, N represents the number of trips of the fare product, that is, the number of actual departure tickets sold by the product. The larger the N value, the more tickets are sold and the higher the evaluation value of the product. SS It represents the sales-to-search ratio, which is a ratio less than 1. The larger the value, the more popular the product is and the higher the evaluation value is. SP It represents the sales-to-calculation ratio, which is a ratio less than 1. The larger the value, the more popular the product is and the higher the evaluation value is.

[0070] In the embodiment of the present invention, the larger the evaluation value of the dynamic fare product is, the better the quality of the dynamic fare product is. For example, if V is 0, it means that the product has not sold a single ticket, and the product can be removed from the shelf and not released for sale.

[0071] It should be noted that in the ticket sales process, passengers first search for fares, inquire about prices, compare prices, and select a suitable price before using the fare to calculate the ticket price and issue the ticket. SS Less than R SP .

[0072] In order to obtain an accurate product identification, in the evaluation method for dynamic freight rate products provided in Example 1 of the present application, before determining the target product identification of the target dynamic freight rate product, a dynamic freight rate basic string for each dynamic freight rate product can be determined, wherein the dynamic freight rate basic string is used to represent the business meaning of the dynamic freight rate product; based on the dynamic freight rate basic string, the dynamic freight rate product is identified to obtain the product identification of the dynamic freight rate product.

[0073] Optionally, a dynamic freight base (Fare Base, i.e., freight product code) string may represent the business meaning of the dynamic freight product (e.g., Y80, indicating a 20% discount for Y class), and each dynamic freight product may be identified by using the dynamic freight base string to obtain a product identification of each dynamic freight product.

[0074] In an embodiment of the present invention, the dynamic freight rate product may be labeled by adding the basic freight rate string of the dynamic freight rate product as a prefix or suffix to the name of the dynamic freight rate product to obtain a unique product identifier corresponding to each dynamic freight rate product, so that in the subsequent settlement link, the sales data and line data of the dynamic freight rate product can be accurately extracted.

[0075] Figure 4 is a schematic diagram of an optional dynamic freight rate product freight rate basis marking according to an embodiment of the present invention, such as Figure 4 The figure shows the dynamic freight rate basis maintenance process. The freight rate basis string can be added as the prefix or suffix of the dynamic freight rate, and the freight rate basis string of each dynamic freight rate can be added or deleted. Among them, the freight rate basis string can be added by selecting the original freight rate (FARE BASIS) or the actual price divided by the full price of the Y cabin.

[0076] In an embodiment of the present invention, the dynamic fare product can also be labeled by a tour code (i.e., the code for airline settlement) to represent a specific dynamic fare product. The tour code can be a specific code negotiated by the fare setting department and the airline settlement department.

[0077] Figure 5 FIG. 1 is a schematic diagram of an optional dynamic fare product travel number tagging according to an embodiment of the present invention, such as Figure 5 As shown, you can first select the dynamic fare basis in the fare publishing system, check the box displayed on the ticket (if not selected, the default is the same as the original fare), and then find the corresponding target product based on the fare basis identifier. Then, based on the dynamic fare basis, enter the travel number to mark the fare product.

[0078] It should be noted that the trip number is not used alone, but as a supplement to the basis of the fare.

[0079] In order to improve the accuracy of determining the dynamic freight rate basis, in the evaluation method of the dynamic freight rate product provided in the first embodiment of the present application, a sales strategy for restricting the dynamic freight rate product is determined, and the same freight rate product restricted based on the sales strategy is determined as a static freight rate product corresponding to the dynamic freight rate product; when the static freight rate product is in a non-sale state, the character string of the original freight rate basis of the static freight rate product is used as the dynamic freight rate basis character string; when the static freight rate product is in a sale state, the current price of the dynamic freight rate product is determined based on the construction strategy used when constructing the dynamic freight rate product, and the dynamic freight rate basis character string is generated based on the current price and the full price of the dynamic freight rate product.

[0080] Optionally, a sales strategy that restricts the dynamic fare product (for example, selling to a certain group within a certain time period) may be determined first, and the same fare product restricted by the sales strategy may be determined as a static fare product corresponding to the dynamic fare product (for example, a fare product that only uses a sales strategy that sells to a certain group within a certain time period for sales restriction is a static fare product, and a fare product that not only uses the sales strategy for sales restriction but also uses a fare construction rule (such as 20% off for a certain group during a big promotion) for construction is a dynamic fare product). If the static fare product is not in a sales state, the original fare basis string of the static fare product is used as the dynamic fare basis string. For example, for the fare product restricted by the same sales strategy, if the dynamic fare product can be more favorable than the static fare product, the static fare product will not be purchased by passengers, and the sales data of the static fare product will not be produced, so it can be determined that the static fare product is in a non-sale state. If the static fare product is in the sales state (i.e., the static fare product and the dynamic fare product each have their own targeted sales passengers, and both can generate sales data), it is necessary to determine the current price of the dynamic fare product based on the construction strategy (i.e., fare construction rule) used when constructing the dynamic fare product, and obtain the full price of the dynamic fare product, and then divide the current price by the full price of the dynamic fare product to generate the dynamic fare basic string.

[0081] In the embodiment of the present invention, the dynamic fare basis can be the same as the original fare or the current price divided by the full price of the dynamic fare product. The same as the original fare means that no matter how the final sales price of the ticket changes, its dynamic fare basis is still the same as the original fare (that is, the same as the fare basis of the static fare product). In this embodiment, when the static fare product is not in a sales state, the character string of the original fare basis of the static fare product can be used as the dynamic fare basis character string.

[0082] For example, a dynamic fare product is: 10 yuan off when sold through official channels, that is, among the same tickets sold through all channels, tickets purchased through official channels are 10 yuan cheaper than those purchased through other channels. The dynamic fare product can be generated through one or several rules (such as 10 yuan off when sold through official channels), and the fare basis of the dynamic fare product is specified to be the same as the original fare (that is, the same fare basis as the static fare product). The passenger finds that the ordinary fare is 800 yuan in other channels, and the ticket for the same cabin of the same flight in the official channel is 790 yuan, and then buys a 790 yuan ticket through the official channel. Assuming that the fare of 800 yuan is based on Y80 (indicating that this is a 20% discount ticket, that is, the full price of the dynamic fare product is 1,000 yuan), according to the dynamic fare rule of the same original fare, the fare basis of the dynamic fare product of 790 yuan is Y80.

[0083] In the embodiment of the present invention, when the static freight product is in the sales state, the dynamic freight basic character string can be generated by using the rule of dividing the current price by the full price of the dynamic freight product.

[0084] For example, the dynamic fare basis of a dynamic fare product is "actual price divided by the full price of Y class". A passenger spends 790 to buy a dynamic fare ticket with a full price of 1000. The dynamic fare basis is the current price divided by the full price of the dynamic fare product, that is, 790 / 1000 (that is, Y79).

[0085] In order to accurately obtain the target log data of the target dynamic fare product, in the evaluation method of the dynamic fare product provided in the first embodiment of the present application, the initial log data carrying the target product identification is obtained from the preset database, wherein the preset database stores the log data of multiple dynamic fare products, and the log data at least includes: log records of the fare search phase, log records of the fare calculation phase, each log record carrying a date; determining the sales date range and flight date range of the target dynamic fare product; filtering the sales log data within the sales date range from the initial log data, and filtering the row log data within the flight date range from the initial log data; and characterizing the sales log data and the row log data as target log data.

[0086] Optionally, the preset database may pre-store log data of multiple dynamic fare products, and the log data may include log records of the fare search phase, log records of the fare calculation phase, etc., and each log record carries a date. The initial log data carrying the target product identifier may be obtained from the preset database, and then the sales log data (i.e., log data generated during the sales process) within the sales date range (e.g., January 1 to January 31) may be filtered from the initial log data, and the travel log data (i.e., log data of successful trips) within the flight date range (e.g., January 10 to February 10) may be filtered from the initial log data, and then the sales log data and the travel log data may be characterized as target log data.

[0087] In an embodiment of the present invention, the preset database may include log data of all dynamic fare products, for example, including sales logs and travel logs. The sales log may include a log of the number of tickets sold, a log of the fare search phase, a log of the fare calculation phase, etc., and the log records of the fare search phase and the log records of the fare calculation phase need to record the fare basic string so that the log data of the target dynamic fare product can be quickly searched for later based on the fare basic string.

[0088] In order to accurately calculate the sale-to-search ratio and the sale-to-calculation ratio, in the evaluation method for dynamic fare products provided in Example 1 of the present application, the sales log data is analyzed to obtain the number of tickets sold for the target dynamic fare product within the sales date range; the travel log data is analyzed to obtain the number of tickets successfully traveled for the target dynamic fare product within the flight date range, and the number of tickets traveled is characterized as the travel volume; based on the sales log data and the number of tickets sold, the sale-to-search ratio and the sale-to-calculation ratio are calculated.

[0089] Optionally, the sales log data may include each sales record of the fare product. By analyzing the sales log data (for example, counting the sales records of successful sales), the number of tickets sold for the target dynamic fare product within the sales date range can be obtained. By analyzing the travel log data (for example, counting the sales records of successful trips), the number of tickets successfully traveled for the target dynamic fare product within the flight date range can be obtained, and the number of travel tickets can be characterized as the travel quantity. Based on the sales log data and the number of tickets sold, the sale-to-search ratio and the sale-to-calculation ratio are calculated.

[0090] For example, if the dynamic fare product is sold between June 1 and June 30, the number of tickets sold within the sales date range can be obtained by counting the sales records of successful sales in the sales log during this period.

[0091] Exemplarily, the flight dates are from July 1 to July 31, and by counting the sales records of successful trips in the travel log within this period, the number of tickets for successful trips within the date range can be obtained.

[0092] In order to improve the accuracy of the calculation, in the evaluation method of the dynamic fare product provided in the first embodiment of the present application, based on the sales log data, the number of fare searches recorded in the log records of the fare search phase and the number of fare calculations recorded in the log records of the fare calculation phase are counted; based on the number of fare searches and the number of tickets sold, the sale-to-search ratio is calculated; based on the number of fare calculations and the number of tickets sold, the sale-to-calculation ratio is calculated.

[0093] Optionally, the sales log data may include log records of the fare search phase, log records of the fare calculation phase, and log records of the number of ticket sales. Based on the log records of the fare search phase, the number of fare searches can be counted, and at the same time, based on the log records of the fare calculation phase, the number of fare calculations can be counted, and then the ratio between the number of ticket sales and the number of fare searches is calculated to obtain a sales-search ratio, and the ratio between the number of ticket sales and the number of fare calculations is calculated to obtain a sales-calculation ratio.

[0094] For example, the airline launched a dynamic fare product based on the original fare Y80. If you buy the ticket of this flight through the official channel, you can enjoy a discount of 10 yuan, that is, you can buy this dynamic fare product at a price of 790 yuan. Assume that on the day of sales on January 1, a total of 100 tickets with a flight date of February 1 were successfully sold. According to the sales log on January 1, it can be counted that the ticket with a flight date of February 1 was searched 200 times, so the sales-search ratio is 100 / 200. According to the sales log on January 1, it can be counted that the final fare of the ticket with a flight date of February 1 was calculated 150 times, so the sales-calculation ratio is 100 / 150.

[0095] In an embodiment of the present invention, after the volume of trips, the sale-to-search ratio, and the sale-to-calculation ratio are calculated, the dynamic freight rate product evaluation model is used for calculation to obtain the dynamic freight rate product evaluation value, and then the quality of each dynamic freight rate product is judged according to the obtained dynamic freight rate product evaluation value (for example, a threshold is set, and a value greater than the threshold indicates that the dynamic freight rate product has a high quality, and a value less than the threshold indicates that the dynamic freight rate product has a low quality) to complete the continuous optimization of the dynamic freight rate product.

[0096] Another optional specific implementation is described in detail below.

[0097] In an embodiment of the present invention, by determining the target product identifier of the target dynamic freight product, and based on the target product identifier, obtaining the target log data of the target dynamic freight product, according to the target log data, obtaining and calculating the row volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic freight product, and then combining with the preset product evaluation strategy, according to the row volume, sale-to-search ratio and sale-to-calculation ratio, determining the evaluation value of the target dynamic freight product, according to the evaluation value of the target dynamic freight product, the dynamic freight product can be continuously optimized, thereby solving the technical problem in the related art that the dynamic freight product cannot be accurately evaluated, resulting in the inability to continuously optimize the dynamic freight product.

[0098] Figure 6 is a schematic diagram of an optional dynamic freight product evaluation process according to an embodiment of the present invention, such as Figure 6 As shown, the dynamic freight rate product evaluation process includes: dynamic freight rate product labeling, freight rate search and freight rate calculation log analysis, sales volume analysis, trip volume analysis, and calculation of freight rate product value.

[0099] (1) Dynamic freight rate product labeling: Dynamic freight rate products can be labeled using the freight rate publishing system.

[0100] (2) Analysis of fare search and fare calculation logs: The fare search and fare calculation logs contain the fare basis (FareBase) identifier and the trip number (TourCode) identifier. The fare search log and fare calculation log of the dynamic fare product can be queried based on the identifier of the dynamic fare product. By collecting statistics on the fare search log and fare calculation log, the number of fare searches and fare calculations can be obtained.

[0101] (3) Sales volume and travel volume analysis: Based on the identification of the dynamic fare product, the sales log data and travel log data of the dynamic fare product are obtained, and the sales log data and travel log data are statistically analyzed to obtain the sales volume within the sales time period of the dynamic fare product and the travel volume within the flight time period to which the dynamic fare applies.

[0102] (4) Calculating the value of dynamic freight rate products: Based on the statistical results of freight rate search and freight rate calculation log analysis, sales volume and trip volume analysis, we can obtain the specific values ​​of trip volume (i.e., N), sales-to-search ratio (i.e., Rss) and sales-to-calculation ratio (i.e., Rsp). Then, we can calculate the evaluation value (i.e., V) of the dynamic freight rate product based on the dynamic freight rate product evaluation model (i.e., the preset product evaluation strategy).

[0103] In an embodiment of the present invention, by marking the freight product, the identification of the dynamic freight product is obtained, and according to the identification of the dynamic freight product, the dynamic freight product log data can be obtained, and by analyzing the freight search and freight calculation logs, the sales volume data and the line volume data as well as the sales-to-search ratio and the sales-to-calculation ratio can be obtained. The sales situation of the dynamic freight product can be analyzed from the sales and line volume data, and then the evaluation value of the dynamic freight product can be obtained by calculation in combination with the dynamic freight product evaluation model, that is, the closed-loop management of the freight product is realized, and the problem that the dynamic freight product cannot be accurately evaluated, resulting in the inability to continuously optimize the dynamic freight product, is effectively solved.

[0104] The following is a detailed description in conjunction with another embodiment.

[0105] Embodiment 2

[0106] The evaluation device for a dynamic freight rate product provided in this embodiment includes a plurality of implementation units, each of which corresponds to each implementation step in the above-mentioned embodiment 1.

[0107] Figure 7 is a schematic diagram of an optional evaluation device for dynamic freight rate products according to an embodiment of the present invention, such as Figure 7 As shown, the evaluation device may include: a first determination unit 70 , an acquisition unit 71 , a second determination unit 72 , and a third determination unit 73 .

[0108] Wherein, the first determination unit 70 is used to determine the target product identifier of the target dynamic freight price product;

[0109] An acquisition unit 71 is used to acquire target log data of a target dynamic freight price product based on a target product identifier;

[0110] The second determining unit 72 is used to determine the number of trips, the sale-to-search ratio and the sale-to-calculation ratio of the target dynamic fare product based on the target log data, wherein the number of trips refers to the number of tickets successfully traveled, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations;

[0111] The third determining unit 73 is used to determine the evaluation value of the target dynamic freight rate product based on the trip volume, the sale-to-search ratio and the sale-to-calculation ratio by adopting a preset product evaluation strategy.

[0112] The above-mentioned evaluation device can determine the target product identifier of the target dynamic freight product through the first determination unit 70, obtain the target log data of the target dynamic freight product based on the target product identifier through the acquisition unit 71, determine the row volume, sale-to-search ratio and sale-to-calculation ratio of the target dynamic freight product based on the target log data through the second determination unit 72, and determine the evaluation value of the target dynamic freight product based on the row volume, sale-to-search ratio and sale-to-calculation ratio through the third determination unit 73 by adopting a preset product evaluation strategy, thereby solving the technical problem in the related art that the dynamic freight product cannot be accurately evaluated, resulting in the inability to continuously optimize the dynamic freight product.

[0113] Optionally, the evaluation device for dynamic fare products also includes: a first construction module, used to construct a preset product evaluation strategy before determining the target product identifier of the target dynamic fare product, wherein the preset product evaluation strategy includes: a trip volume parameter, a sale-to-search ratio parameter and a sale-to-calculation ratio parameter, the trip volume parameter is used to indicate the number of tickets for successful trips, the sale-to-search ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare searches, and the sale-to-calculation ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare calculations; the preset product evaluation strategy is used to determine the evaluation value of the dynamic fare product.

[0114] Optionally, the evaluation device for dynamic freight products also includes: a first determination module, used to determine a dynamic freight basic string for each dynamic freight product before determining the target product identifier of the target dynamic freight product, wherein the dynamic freight basic string is used to represent the business meaning of the dynamic freight product; a first identification module, used to identify the dynamic freight product based on the dynamic freight basic string to obtain a product identifier of the dynamic freight product.

[0115] Optionally, the evaluation device for dynamic freight products also includes: a second determination module, used to determine the sales strategy for restricting the dynamic freight product, and determine the same freight product restricted based on the sales strategy as a static freight product corresponding to the dynamic freight product; a first processing module, used to use the original freight basis character string of the static freight product as the dynamic freight basis character string when the static freight product is in a non-sales state; a third determination module, used to determine the current price of the dynamic freight product based on the construction strategy used when constructing the dynamic freight product when the static freight product is in a sales state, and generate a dynamic freight basis character string based on the current price and the full price of the dynamic freight product.

[0116] Optionally, the acquisition unit includes: a first acquisition module, used to acquire initial log data carrying the target product identification from a preset database, wherein the preset database stores log data of multiple dynamic fare products, and the log data at least includes: log records of the fare search phase, log records of the fare calculation phase, and each log record carries a date; a fourth determination module, used to determine the sales date range and flight date range of the target dynamic fare product; a first screening module, used to screen the sales log data within the sales date range from the initial log data, and screen the row log data within the flight date range from the initial log data; a first characterization module, used to characterize the sales log data and the row log data as target log data.

[0117] Optionally, the second determination unit includes: a first analysis module, used to analyze the sales log data to obtain the number of tickets sold for the target dynamic fare product within the sales date range; a second characterization module, used to analyze the travel log data to obtain the number of tickets successfully traveled for the target dynamic fare product within the flight date range, and characterize the number of travel tickets as the travel quantity; a first calculation module, used to calculate the sale-to-search ratio and the sale-to-calculation ratio based on the sales log data and the number of tickets sold.

[0118] Optionally, the first calculation module includes: a first statistical sub-module, used to count the number of fare searches recorded in the log records of the fare search phase and the number of fare calculations recorded in the log records of the fare calculation phase based on the sales log data; a first calculation sub-module, used to calculate the sale-to-search ratio based on the number of fare searches and the number of tickets sold; and a second calculation sub-module, used to calculate the sale-to-calculation ratio based on the number of fare calculations and the number of tickets sold.

[0119] The above-mentioned evaluation device may also include a processor and a memory. The above-mentioned first determination unit 70, acquisition unit 71, second determination unit 72, third determination unit 73, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0120] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters are adjusted to determine the evaluation value of the target dynamic freight product based on the number of rows, the sales-to-search ratio, and the sales-to-calculation ratio using a preset product evaluation strategy.

[0121] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one storage chip. According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, the non-volatile computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, any one of the above-mentioned dynamic freight rate product evaluation methods is implemented.

[0122] When the computer program product is executed on a data processing device, it is suitable for executing an initialization program having the following method steps: determining a target product identifier of a target dynamic fare product, obtaining target log data of the target dynamic fare product based on the target product identifier, and determining the number of trips, the sale-to-search ratio and the sale-to-calculation ratio of the target dynamic fare product based on the target log data, wherein the number of trips refers to the number of tickets for successful travel, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations; based on the number of trips, the sale-to-search ratio and the sale-to-calculation ratio, a preset product evaluation strategy is used to determine the evaluation value of the target dynamic fare product.

[0123] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by one or more processors, the one or more processors implement the above-mentioned method for evaluating dynamic freight rate products.

[0124] Figure 8 1 is a hardware structure block diagram of an electronic device (or mobile device) for a method for evaluating a dynamic freight price product according to an embodiment of the present invention. Figure 8 As shown, the electronic device may include one or more processors (e.g., Figure 8 The processor 802a, processor 802b, ..., processor 802n, etc., which may include but are not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 804 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a keyboard, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 8 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 8 More or fewer components as shown, or with Figure 8 Different configurations are shown.

[0125] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0126] The embodiments or examples of the present disclosure are not exhaustive, but are only illustrative of some embodiments or examples, and are not intended to be specific limitations on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment or example can be implemented as an independent example, and the steps can be combined arbitrarily. For example, the scheme after removing some steps in a certain embodiment or example can also be implemented as an independent example, and the order of the steps in a certain embodiment or example can be arbitrarily exchanged. In addition, the optional methods or optional examples in a certain embodiment or example can be combined arbitrarily; in addition, the various embodiments or examples can be combined arbitrarily, for example, some or all steps of different embodiments or examples can be combined arbitrarily, and a certain embodiment or example can be combined arbitrarily with the optional methods or optional examples of other embodiments or examples.

[0127] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0128] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be 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 interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[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 units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0130] In addition, each functional unit in each embodiment of the present invention 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. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0131] 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, in essence, 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, and the computer software product is stored in a storage medium, including a number of instructions for 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, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0132] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for evaluating a dynamic freight rate product, characterized in that: include: Determine the target product identification of the target dynamic freight rate product; Based on the target product identifier, obtaining target log data of the target dynamic freight rate product; Based on the target log data, determine the number of trips, the sale-to-search ratio, and the sale-to-calculation ratio of the target dynamic fare product, wherein the number of trips refers to the number of tickets successfully taken, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations; Based on the volume of trips, the sale-to-search ratio and the sale-to-calculation ratio, a preset product evaluation strategy is adopted to determine the evaluation value of the target dynamic freight price product.

2. The evaluation method according to claim 1, characterized in that: Before determining the target product identification of the target dynamic freight rate product, it also includes: Construct the preset product evaluation strategy, wherein the preset product evaluation strategy includes: a trip volume parameter, a sale-to-search ratio parameter and a sale-to-calculation ratio parameter, the trip volume parameter is used to indicate the number of tickets for successful trips, the sale-to-search ratio parameter is used to indicate the ratio between the number of tickets sold within a preset time period and the number of fare searches, and the sale-to-calculation ratio parameter is used to indicate the ratio between the number of tickets sold within the preset time period and the number of fare calculations; the preset product evaluation strategy is used to determine the evaluation value of the dynamic fare product.

3. The evaluation method according to claim 1, characterized in that: Before determining the target product identification of the target dynamic freight rate product, it also includes: Determine a dynamic freight price basic character string for each dynamic freight price product, wherein the dynamic freight price basic character string is used to represent the business meaning of the dynamic freight price product; The dynamic freight price product is identified based on the dynamic freight price basic character string to obtain a product identification of the dynamic freight price product.

4. The evaluation method according to claim 3, characterized in that: The steps to determine the dynamic rate base string for each dynamic rate product include: Determine a sales strategy for restricting the dynamic freight rate product, and determine the same freight rate product restricted by the sales strategy as a static freight rate product corresponding to the dynamic freight rate product; When the static freight rate product is not in a sales state, the character string of the original freight rate basis of the static freight rate product is used as the dynamic freight rate basis character string; When the static freight product is in a sales state, the current price of the dynamic freight product is determined based on the construction strategy used when constructing the dynamic freight product, and the dynamic freight basic character string is generated based on the current price and the full price of the dynamic freight product.

5. The evaluation method according to claim 1, characterized in that: The step of acquiring target log data of the target dynamic freight rate product based on the target product identifier includes: Acquire initial log data carrying the target product identifier from a preset database, wherein the preset database stores log data of multiple dynamic freight rate products, and the log data at least includes: log records of a freight rate search phase and log records of a freight rate calculation phase, and each log record carries a date; Determine the sales date range and flight date range of the target dynamic fare product; Filtering the sales log data within the sales date range from the initial log data, and filtering the row log data within the flight date range from the initial log data; The sales log data and the row log data are characterized as the target log data.

6. The evaluation method according to claim 5, characterized in that: The step of determining the volume of trips, the sale-to-search ratio, and the sale-to-calculation ratio of the target dynamic freight rate product based on the target log data includes: Analyze the sales log data to obtain the number of tickets sold for the target dynamic fare product within the sales date range; Analyze the travel log data to obtain the number of successful travel tickets for the target dynamic fare product within the flight date range, and characterize the number of successful travel tickets as the travel volume; Based on the sales log data and the number of tickets sold, the sale-to-search ratio and the sale-to-calculation ratio are calculated.

7. The evaluation method according to claim 6, characterized in that: The step of calculating the sale-to-search ratio and the sale-to-calculation ratio based on the sales log data and the number of tickets sold includes: Based on the sales log data, counting the number of freight rate searches recorded in the log of the freight rate search phase and the number of freight rate calculations recorded in the log of the freight rate calculation phase; Calculating the sale-to-search ratio based on the number of fare searches and the number of tickets sold; The sales calculation ratio is calculated based on the number of fare calculations and the number of tickets sold.

8. A dynamic freight rate product evaluation device, characterized in that: include: A first determination unit, used to determine a target product identifier of a target dynamic freight price product; An acquisition unit, configured to acquire target log data of the target dynamic freight rate product based on the target product identifier; A second determination unit is used to determine the number of trips, the sale-to-search ratio and the sale-to-calculation ratio of the target dynamic fare product based on the target log data, wherein the number of trips refers to the number of tickets successfully taken, the sale-to-search ratio refers to the ratio between the number of tickets sold and the number of fare searches, and the sale-to-calculation ratio refers to the ratio between the number of tickets sold and the number of fare calculations; The third determination unit is used to determine the evaluation value of the target dynamic freight rate product based on the row volume, the sale-to-search ratio and the sale-to-calculation ratio by adopting a preset product evaluation strategy.

9. A computer program product, characterized in that The invention comprises a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the evaluation method for the dynamic freight price product according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The system comprises one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the evaluation method for dynamic freight rate products described in any one of claims 1 to 7.

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