CN115526658A - Ticket buying scheme customizing method and system based on client data - Google Patents
Ticket buying scheme customizing method and system based on client data Download PDFInfo
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Abstract
The invention relates to a ticket buying scheme customizing method and system based on client data, wherein the method comprises the following steps: acquiring ticket purchasing data and all preferential data of a client; grading all the preferential data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of preferential data until the ticket purchasing data is processed by each level of preferential data; and outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme. The invention can carry out customized ticket buying scheme collocation according to the client data of the user for any user, thereby outputting the optimal ticket buying scheme to the client for the user to select. By processing the ticket buying data after grading the preferential data, the method not only can avoid the damage of benefits of merchants caused by repeated superposition of the preferential data, but also can compare various preferential matches for users to determine an optimal ticket buying scheme, thereby improving the ticket buying satisfaction of the users.
Description
Technical Field
The invention relates to the technical field of ticket buying, in particular to a ticket buying scheme customizing method and system based on client data.
Background
For the merchants of the art venue, ticketing is a guarantee of income sources, and with the development of the internet, more and more users can choose to purchase tickets through clients. At the same time, the merchant can also push various types of offers to attract users.
For marketing purposes, merchants generally have different types of benefits popularized and laid on online channels, and if the multiple types of benefits are simply calculated in an overlapping manner, the benefits of the merchants are undoubtedly damaged. Meanwhile, different preferential conditions exist among different preferential offers, and in the face of multiple preferential offers, the optimal ticket buying scheme is difficult to select by the user, and once the user finds that the preferential strength between the actual ticket buying scheme and the optimal ticket buying scheme is different, the phenomena of ticket refunding and complaint are easy to occur, which is obviously undesirable for merchants, so that how to realize the optimal customization of the ticket buying scheme of the user under the condition of not damaging the benefits of the merchants becomes a problem to be solved urgently.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a ticket buying scheme customizing method and system based on client data, which can realize the optimized customization of the user ticket buying scheme under the condition of not damaging the benefit of a merchant.
One of the technical schemes adopted by the invention for solving the technical problems is as follows: a ticket buying scheme customizing method based on client data comprises the following steps:
acquiring ticket purchasing data and all preferential data of a client;
grading all the preferential data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of preferential data until the ticket purchasing data is processed by each level of preferential data;
and outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as an optimal ticket buying scheme.
Specifically, the ticket purchasing data includes ticket purchasing quantity data and ticket face value data, and the offer data includes offer condition data and offer discount data.
Specifically, the step of classifying all the offer data according to a preset priority, and sequentially processing the ticket purchasing data according to the priority of each level of offer data until the ticket purchasing data is processed by each level of offer data includes the following steps:
classifying all the preferential data according to a preset priority so that at least one preferential data exists in the same priority;
and sequentially using the preferential discount data of each level according to the priority sequence of the preferential data of each level to process the ticket purchasing quantity data and/or the ticket surface value data until the ticket purchasing data is processed by the preferential data of each level.
Specifically, the processing of the ticket purchase quantity data and/or the ticket face value data by using the preferential discount data of each level includes the following steps:
and matching any preferential condition data in the nth priority by using the ticket purchasing quantity data and/or the ticket face value data and listing all matching results, processing the ticket purchasing quantity data and/or the ticket face value data by using corresponding preferential discount data according to the matching results and obtaining the processed nth ticket face value data, wherein n is more than or equal to 2, and is an integer.
Specifically, the outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme includes the following steps:
judging the number of the ticket purchasing data processed by the last-stage preferential data;
if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme;
and if the number is more than one, comparing the value of the ticket face value data of the at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as the optimal ticket purchasing scheme.
Specifically, the offer data further includes gift data;
the processing of the ticket buying data is performed in sequence according to the priority of each level of the preference data until the ticket buying data is processed by each level of the preference data, and the processing method further comprises the following steps: and accumulating the gift data in the preferential data of each level into the processed ticket purchasing data.
Specifically, the outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme includes the following steps:
judging the number of the ticket purchasing data processed by the last-stage preferential data;
if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme;
if the number is more than one, judging whether gift data exists in all the ticket purchasing data;
if not, comparing the value of the ticket face value data of the at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as the optimal ticket purchasing scheme;
if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and the ticket face value data which is not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance to the client as an optimal ticket purchasing scheme.
The ticket buying scheme customizing method based on the client data has the advantages that: for any user, customized ticket buying scheme collocation can be performed according to client data of the user, and therefore the optimal ticket buying scheme is output to the client to be selected by the user. By processing the ticket buying data after grading the discount data, the method not only can avoid the damage of benefits of merchants caused by repeated superposition of the discount data, but also can determine an optimal ticket buying scheme for the user by comparing various discount matches, thereby improving the ticket buying satisfaction of the user.
The other technical scheme adopted by the invention for solving the technical problem is as follows: a system for customizing a ticketing scheme based on client data, the system comprising:
the client data acquisition module is used for acquiring ticket purchasing data and all preferential data of the client;
the system comprises a ticket purchasing data grading processing module, a ticket purchasing data grading processing module and a ticket purchasing data grading processing module, wherein the ticket purchasing data grading processing module is used for grading all preferential data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of preferential data until the ticket purchasing data is processed by each level of preferential data;
and the scheme output module is used for outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme.
Specifically, the hierarchical processing module for ticket purchasing data includes:
the data grading sub-module is used for grading all the preferential data according to a preset priority so that at least one preferential data exists in the same priority;
and the data processing submodule is used for processing the ticket purchasing quantity data and/or the ticket face value data by sequentially using the discount data of each level according to the priority order of the discount data of each level until the ticket purchasing data is processed by the discount data of each level, and if the coupon data exists, the coupon data in the discount data of each level are accumulated into the processed ticket purchasing data.
Specifically, the scheme output module includes:
the first judgment module is used for judging the number of the ticket purchasing data processed by the last stage of the discount data; if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme; if the number is more than one, judging whether gift data exists in all the ticket purchasing data by using a second judging module;
the second judgment module is used for judging whether gift data exists in all the ticket purchasing data or not, if not, comparing the value of the ticket value data of at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket value to the client as the optimal ticket purchasing scheme; if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and ticket face value data which are not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance as an optimal ticket purchasing scheme to the client.
The ticket buying scheme customizing system based on the client data has the advantages that: the client data is acquired, so that the customized ticket buying schemes for different users can be matched, the user can realize preferential maximization without the self-technology how to buy tickets, the ticket buying flow of the user is simplified, and the ticket buying satisfaction of the user is improved.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a flow chart of a method for customizing a ticketing scheme based on client data in accordance with the present invention;
FIG. 2 is a first flowchart of a grading process for ticket purchasing data according to the present invention;
FIG. 3 is a second flowchart of the present invention for grading the ticketing data;
FIG. 4 is a schematic structural diagram of a ticket purchase scheme customization system based on client data according to the present invention;
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the method for customizing a ticket purchase scheme based on client data according to the present invention includes the following steps:
acquiring ticket purchasing data and all preferential data of a client;
grading all the preferential data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of preferential data until the ticket purchasing data is processed by each level of preferential data;
and outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme.
In some further embodiments, the ticket purchase data includes ticket purchase quantity data and ticket face value data, and the offer data includes offer condition data and offer discount data.
The system comprises a ticket purchasing quantity data server, a ticket discount data server, a ticket price data server and a ticket discount data server, wherein the ticket purchasing quantity data is specifically data formed by quantity information of user ticket purchasing, the ticket value data is specifically data formed by ticket price information of a single ticket, the preferential condition data is data formed by precondition information which can be used for preferential treatment, the preferential discount data is data formed by discount proportion corresponding to the preferential treatment of reducing and exempting the ticket price, in some specific embodiments, the preferential data is full reduction, the preferential treatment is full 300 reduction by 30, the preferential condition data is that the ticket value data is 300 yuan, and the preferential treatment data is 0.9 when the preferential treatment data exceeds 300 yuan; in addition, the preferential data can also be discount, for example, half-price preferential, the preferential condition data is that the nominal value is any amount, and the preferential discount data is 0.5.
As shown in fig. 2, in some further embodiments, the classifying all the offer data according to a preset priority, and sequentially processing the ticket buying data according to the priority of each level of offer data until the ticket buying data is processed by each level of offer data includes the following steps:
classifying all the preferential data according to a preset priority so that at least one preferential data exists in the same priority;
and processing the ticket purchasing quantity data and/or the ticket face value data by using the preferential discount data of each level in sequence according to the priority order of the preferential data of each level until the ticket purchasing data is processed by the preferential data of each level.
In some specific embodiments, the discount data may be full discount, full gift, and the like, where full discount and discount are 1 st priority, discount is 2 nd priority, and full gift is 3 rd priority, when processing ticket purchasing data by using each level of discount data, processing is performed in sequence according to the preset priority, and the ticket purchasing data outputs processed ticket face value data to the client after being processed by each level of discount data.
In some further embodiments, the processing of the ticket purchase quantity data and/or the ticket face value data using the preferential discount data of each level includes the following steps:
and matching any preferential condition data in the nth priority by using the ticket purchasing quantity data and/or the ticket face value data, listing all matching results, processing the ticket purchasing quantity data and/or the ticket face value data by using corresponding preferential discount data according to the matching results, and obtaining the processed nth ticket face value data, wherein n is more than or equal to 2, and is an integer.
When the same ticket purchasing data is calculated at the same priority, the purchasing quantity data in the ticket purchasing data can be split, so that the split different ticket face value data respectively meet different preferential condition data in the same priority, and the purpose of calculating the most preferential value is achieved.
In some further embodiments, the outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme includes the following steps:
judging the number of the ticket purchasing data processed by the last-stage preferential data;
if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme;
and if the number is more than one, comparing the value of the ticket face value data of the at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as the optimal ticket purchasing scheme.
If the priority 1, the priority 2 and the priority 3 respectively have two different coupon data, under the condition that a certain ticket buying data can meet the coupon condition data of all the coupon data, at least 8 different ticket buying schemes are provided.
As shown in FIG. 3, in some further embodiments, the offer data further includes bonus data;
the processing of the ticket purchasing data according to the priority of each level of the preference data in sequence until the ticket purchasing data is processed by each level of the preference data further comprises: and accumulating the gift data in the preferential data of each level into the processed ticket purchasing data.
In some further embodiments, the outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme includes:
judging the number of the ticket purchasing data processed by the last-stage preferential data;
if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme;
if the number is more than one, judging whether gift data exists in all the ticket purchasing data;
if not, comparing the value of the ticket face value data of the at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as the optimal ticket purchasing scheme;
if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and ticket face value data which are not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance as an optimal ticket purchasing scheme to the client.
As shown in fig. 4, the present invention provides a system for customizing a ticketing scheme based on client data, which comprises:
the client data acquisition module is used for acquiring ticket purchasing data and all preferential data of the client;
the system comprises a ticket purchasing data grading processing module, a ticket purchasing data grading processing module and a data processing module, wherein the ticket purchasing data grading processing module is used for grading all the discount data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of discount data until the ticket purchasing data is processed by each level of discount data;
and the scheme output module is used for outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme.
In certain further embodiments, the ticketing data staging module comprises:
the data grading sub-module is used for grading all the preferential data according to a preset priority so that at least one preferential data exists in the same priority;
and the data processing submodule is used for processing the ticket purchasing quantity data and/or the ticket face value data by using the preferential discount data of each level in sequence according to the priority order of the preferential data of each level until the ticket purchasing data is processed by the preferential data of each level, and if the coupon data exists, the coupon data in the preferential data of each level is accumulated to the processed ticket purchasing data.
In certain further embodiments, the recipe output module comprises:
the first judgment module is used for judging the number of the ticket buying data processed by the last stage of the discount data; if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme; if the number is more than one, judging whether gift data exists in all the ticket purchasing data by using a second judging module;
the second judgment module is used for judging whether gift data exists in all the ticket purchasing data or not, if not, comparing the value of the ticket value data of at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket value to the client as the optimal ticket purchasing scheme; if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and ticket face value data which are not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance as an optimal ticket purchasing scheme to the client.
The customization method of the ticket buying scheme customization system based on the client data can be implemented by referring to each embodiment of the ticket buying scheme customization method based on the client data, and details are not repeated here.
In a specific embodiment of the present invention, as shown in fig. 4, the system uses the client data obtaining module to obtain the ticket purchasing data of the client. The ticket purchasing data comprises ticket purchasing quantity data, the ticket purchasing quantity data is 11, the ticket face value data of a single ticket is 100, and the total ticket face value data is 1100; the coupon data is divided into 5 types including full 3 tickets for printing 9 folds, full 2 tickets for printing 9.5 folds, full 500 minus 50 folds after folding, full 400 minus 30 folds after folding and full 800 payments for sending 100-element ticket purchasing coupons.
And then, classifying all the preferential data according to a preset priority by using a ticket purchasing data classification processing module so that at least one preferential data exists in the same priority. The data grading submodule is used for grading all the offer data according to a preset priority so that at least one offer data exists in the same priority, and the offer condition data and the offer discount data corresponding to each graded offer data are shown in the following table 1.
TABLE 1
And then, the data processing submodule is used for sequentially using the discount data of each level according to the priority order of the discount data of each level to process the ticket purchasing quantity data and/or the ticket face value data until the ticket purchasing data is processed by the discount data of each level, and if the coupon data exists, the coupon data in the discount data of each level are accumulated into the processed ticket purchasing data.
Taking the preferential data shown in table 1 as an example, matching the "number of purchased tickets equal to 3" and the "number of purchased tickets equal to 2" in the 1 st priority by using the number of purchased tickets data as 11 and listing all matching results (other matching results are omitted here), wherein the best result after matching is that 9 tickets are discounted according to the condition that the "number of purchased tickets equal to 3", and the remaining 2 tickets are discounted according to the condition that the "number of purchased tickets equal to 2", so that after processing the preferential data of the 1 st priority, the corresponding 1 st ticket face value data is 3 (3 x 100 x 0.9) + (2 x 100 x 0.95) =1000;
matching the 'ticket value data equal to 500' and the 'ticket value data equal to 400' in the 2 nd priority with the 1 st ticket value being 1000, and listing all matching results (omitting other matching results), wherein the optimal result after matching is that the 1 st ticket value 1000 is subjected to discount calculation according to the condition that the 'ticket value data is equal to 500', and after the preferential data processing of the 2 nd priority, the corresponding 2 nd ticket value data is 2 × 500.9 =900;
the 2 nd ticket value is 900, the 'ticket value data equal to 800' in the 2 nd priority is processed, and the discount data in the 2 nd priority is not set, so the 3 rd ticket value data is equal to the 2 nd ticket value data equal to 900, and the gift data of '100 yuan ticket purchasing coupon' is accumulated.
And finally, outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme by using a scheme output module.
Wherein, the scheme output module includes: and the first judging module is used for judging the number of the ticket purchasing data processed by the last-stage discount data, in the embodiment, the number of the ticket purchasing data processed by the last-stage discount data is one, so that the ticket purchasing number data of the finally processed ticket purchasing data is 11, the total ticket face value data is gift data of which the 3 rd ticket face value data is 900 and one '100-element ticket purchasing coupon' is accumulated, and the scheme is used as an optimal ticket purchasing scheme and is output to the client.
In addition, in other embodiments, if the number of the ticket purchasing data processed by the last-stage discount data is more than one, the second judging module is used for judging whether gift data exists in all the ticket purchasing data;
the second judging module is used for judging whether gift data exists in all the ticket purchasing data or not, if not, comparing the value of the ticket face value data of at least two processed ticket purchasing data and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as an optimal ticket purchasing scheme; if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and the ticket face value data which is not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance to the client as an optimal ticket purchasing scheme.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRDRAM), enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of another identical element in a process, apparatus, article, or method comprising the element.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the embodiments and descriptions given above are only illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A ticket buying scheme customization method based on client data is characterized in that: the method comprises the following steps:
acquiring ticket purchasing data and all preferential data of a client;
grading all the preferential data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of preferential data until the ticket purchasing data is processed by each level of preferential data;
and outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme.
2. The method of customizing a ticketing scheme based on client data as recited in claim 1, wherein: the ticket purchasing data comprises ticket purchasing quantity data and ticket face value data, and the discount data comprises discount condition data and discount data.
3. The method of customizing a ticketing scheme based on client data as claimed in claim 2, wherein: the method comprises the following steps of classifying all the discount data according to a preset priority, and processing ticket purchasing data in sequence according to the priority of each level of discount data until the ticket purchasing data is processed by each level of discount data:
classifying all the preferential data according to a preset priority so that at least one preferential data exists in the same priority;
and processing the ticket purchasing quantity data and/or the ticket face value data by using the preferential discount data of each level in sequence according to the priority order of the preferential data of each level until the ticket purchasing data is processed by the preferential data of each level.
4. The method for customizing a ticketing scheme based on client data as recited in claim 3, wherein: the processing of the ticket purchasing quantity data and/or the ticket face value data by using the preferential discount data of each level comprises the following steps:
and matching any preferential condition data in the nth priority by using the ticket purchasing quantity data and/or the ticket face value data, listing all matching results, processing the ticket purchasing quantity data and/or the ticket face value data by using corresponding preferential discount data according to the matching results, and obtaining the processed nth ticket face value data, wherein n is more than or equal to 2, and is an integer.
5. The method of customizing a ticketing scheme based on client data as recited in claim 4, wherein: the step of outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme comprises the following steps:
judging the number of the ticket purchasing data processed by the last-stage preferential data;
if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme;
and if the number is more than one, comparing the value of the ticket face value data of the at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as the optimal ticket purchasing scheme.
6. The client data-based ticketing scheme customization method of any of claims 2-5, further comprising: the offer data further comprises gift data;
the processing of the ticket purchasing data according to the priority of each level of the preference data in sequence until the ticket purchasing data is processed by each level of the preference data further comprises: and accumulating the gift data in the preferential data of each level into the processed ticket purchasing data.
7. The method of customizing a ticketing scheme based on client data as recited in claim 6, wherein: the step of outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme comprises the following steps:
judging the number of the ticket purchasing data processed by the last-stage preferential data;
if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme;
if the number is more than one, judging whether gift data exists in all the ticket purchasing data;
if not, comparing the value of the ticket face value data of the at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket face value to the client as the optimal ticket purchasing scheme;
if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and the ticket face value data which is not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance to the client as an optimal ticket purchasing scheme.
8. A system for customizing a ticketing scheme based on client data, the system comprising:
the client data acquisition module is used for acquiring ticket purchasing data and all preferential data of the client;
the system comprises a ticket purchasing data grading processing module, a ticket purchasing data grading processing module and a ticket purchasing data grading processing module, wherein the ticket purchasing data grading processing module is used for grading all preferential data according to a preset priority, and processing the ticket purchasing data in sequence according to the priority of each level of preferential data until the ticket purchasing data is processed by each level of preferential data;
and the scheme output module is used for outputting the ticket buying scheme corresponding to the processed ticket buying data to the client as the optimal ticket buying scheme.
9. The client-data-based ticketing scheme customization system of claim 8, further comprising: the grading processing module for ticket buying data comprises:
the data grading sub-module is used for grading all the preferential data according to a preset priority so that at least one preferential data exists in the same priority;
and the data processing submodule is used for processing the ticket purchasing quantity data and/or the ticket face value data by using the preferential discount data of each level in sequence according to the priority order of the preferential data of each level until the ticket purchasing data is processed by the preferential data of each level, and if the coupon data exists, the coupon data in the preferential data of each level is accumulated to the processed ticket purchasing data.
10. The client-data-based ticketing scheme customization system of claim 8, further comprising: the scheme output module comprises:
the first judgment module is used for judging the number of the ticket purchasing data processed by the last stage of the discount data; if the number is equal to one, outputting the fare value data of the fare purchasing data to the client as an optimal fare purchasing scheme; if the number is more than one, judging whether gift data exists in all the ticket purchasing data by using a second judging module;
the second judgment module is used for judging whether gift data exists in all the ticket purchasing data or not, if not, comparing the value of the ticket value data of at least two processed ticket purchasing data, and outputting the ticket purchasing scheme corresponding to the ticket purchasing data with the minimum ticket value to the client as the optimal ticket purchasing scheme; if yes, giving preset value data to the gift data in any ticket purchasing data, summing the value data of the gift data and ticket face value data which are not processed to obtain theoretical value data, obtaining the ratio of the processed ticket face value data to the theoretical value data to obtain cost performance data, comparing the size of at least two pieces of cost performance data, and outputting a ticket purchasing scheme corresponding to the ticket purchasing data with the largest cost performance as an optimal ticket purchasing scheme to the client.
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| CN107481042A (en) * | 2017-07-27 | 2017-12-15 | 北京微影时代科技有限公司 | A kind of preferential system of selection of online booking and electronic equipment |
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