CN112016720A - Personalized reservation system and method based on big data and business model - Google Patents
- ️Tue Dec 01 2020
CN112016720A - Personalized reservation system and method based on big data and business model - Google Patents
Personalized reservation system and method based on big data and business model Download PDFInfo
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Abstract
The application discloses individualized predetermined system based on big data, include the APP through mobile terminal operation, carry out the server of data interaction with the APP, the server includes: the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login authority; the system comprises an order module, a database, a payment module, an operation module and an authorization module. A reservation method and a business model thereof are also provided. The business model disclosed by the invention can mobilize the flexibility of each section, fully integrate the existing Internet shared data, and realize the full-node integration of hotels, retail, e-commerce and express/flash delivery by utilizing the O2O model so as to make up the vacancy of diversified and personalized spirit and material requirements of people at present.
Description
Technical Field
The invention relates to the field of data scheduling information systems, in particular to a system and a method for scheduling existing data information to meet user-defined requirements and a business mode for business application by using the system and the method, and specifically relates to a personalized reservation system and method based on big data and a business mode.
Background
With the vigorous and continuous development of the IT industry, the existing software system can realize personalized sharing and application of massive data. In particular, in the field of home and travel of people, in order to facilitate the travel of people, a plurality of platforms are widely applied by people aiming at a reservation system in the industries of transportation, travel and hotels; most platforms all can realize to diversified services such as air ticket reservation, hotel reservation, can be through a platform, adopt the mode of APP or webpage to realize the reservation of trip ticket business, the reservation of check-in hotel. The rise of the existing predetermined platform is mainly caused by two reasons: the method is a technical breakthrough of the current software industry, can realize the digitization of information data of various industries, and ensures that the aspects of work and life of people are smoother and more efficient; and secondly, the method is based on the high standard and strict requirements of people on efficiency at present. Future transactions need to be planned and planned to avoid wasted time.
However, for the current fast-paced life and work arrangement, the existing reservation platform cannot realize the fixed-point accurate provision of personalized goods and services for users. In order to fully utilize the existing product and service resources to better realize the effect of making the best use of the things, the personalized product and service platform is provided on the premise of supporting and sharing big data so as to further improve the resource utilization rate and reduce the problems of cross-industry and cross-field resource circulation rate caused by unsmooth information.
Disclosure of Invention
The problem that personalized, diversified and timely product or service provision cannot be achieved by people through an existing data platform or software system is solved, real-time circulation cannot be achieved for existing cross-industry and cross-field resource data, and accordingly resource idle rate is increased and utilization rate is reduced. The application provides a personalized reservation system, a personalized reservation method and a business model based on big data, and aims to provide a mode of products or services required by people accurately and efficiently for people on trips such as business trips or trips, so that the resources can be circulated across fields and industries. Meanwhile, the application also provides a business mode realized based on the personalized reservation system, and the problem that people on a trip are anxious to use specific commodities and services in specific time is solved by utilizing the conventional O2O mode and combining online reservation, offline purchase and designated delivery. The business model fully combines various links of intelligent mobile equipment, platform systems, communication technologies and offline distribution; compared with the existing single ticket booking service and flash delivery service, the system is higher in integration, can better pull each link to be economical, and meanwhile, a user uses the check-in hotel as a receiving point and uses the check-in hotel as a transfer station, so that the problem of storage in the traditional distribution is solved, each link is fully activated, and the running rate of resources is greatly improved.
In order to achieve the purpose, the technical scheme adopted by the application is as follows:
a personalized reservation system based on big data comprises an APP running through a mobile terminal and a server performing data interaction with the APP, wherein the server comprises:
the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login authority;
the order module is used for classifying and storing discrete data for composing different types of orders, wherein any discrete data is used for limiting a single dimension of the order, and the order with a definite limited range is generated through a plurality of discrete data; the discrete data consists of standard data and custom data;
the database is used for matching built-in data and/or external connection data required by the order generated by the order module, and the built-in data is preset or imported by the system; the external data is dynamic data of third-party big data or a platform acquired through interface link;
the payment module is used for sending a payment request to a payment system through the APP of the mobile terminal and realizing order payment through an online payment or a link three-party payment mode;
the operation module is used for judging whether the database has qualified objects meeting the order form or not, and arranging the qualified objects or the qualified object set in an ascending or descending order according to a single dimension or a plurality of dimensions preset by the system;
and the authorization module is used for executing any order purchasing authority under any account number for authorization.
Preferably, the order module consists of a product order unit, a service order unit and a custom order unit; the product order unit comprises a plurality of product columns with product label attributes, a plurality of types of product items are arranged under any one of the product columns, and any one of the product items is associated with at least one piece of discrete data for limiting the screenable range of the product item in a self-defining mode through an account number; the label attributes of all product items stored in the product column are product classes.
The service order unit comprises a plurality of service columns with service label attributes, a plurality of types of service items are arranged under any one of the service columns, and any one of the service items is associated with at least one piece of discrete data for limiting the screenable range of the service item in a self-defining manner through an account number; the tag attributes of all the service items stored in the service bar are service classes.
The custom order unit comprises identifiable product items or service items input by account number custom and discrete data used for limiting the product items or service items input by the account number custom. The user logs in through the account number, the product items or service items input by the user in a self-defining mode and the corresponding discrete data need to be identified by the self-defining order unit, the unrecognizable self-defining field information is fed back and prompted by error information, and subsequent processes are not carried out.
As a further optimization setting, the built-in data is composed of a plurality of product item and service item data, and any product item or service item is fixedly associated with at least one discrete data used for limiting the product item and the service item for an order module to identify and screen qualified objects or qualified object sets matched with any order.
The present application further provides a personalized reservation method based on big data, which is implemented by the personalized reservation system based on big data of claim 3, and specifically includes the following steps:
ST10, logging in the intelligent mobile device APP through the account number to enter a preset system, and selecting corresponding product items or service items step by step according to the product columns or service columns displayed by the system;
a step ST20 of custom-selecting discrete data matched with the product item or service item determined in the step ST10, or custom-defining the product item or service item, and custom-defining discrete data for defining the custom-defined product item or service item;
step ST30, the order module generates an order, which is one product item or service item associating a plurality of discrete data for defining the product item or service item;
ST40, paying the order, the APP sends a payment request through the mobile terminal, and requests to obtain the authority of reading the payment system;
ST50, calling online payment or three-party payment page respectively by selecting online payment or three-party payment, and realizing online unionpay payment or three-party payment through a payment protocol;
ST60, sending the product item or service item corresponding to the order successfully paid to an operation module, and calling built-in data in a database by the operation module for matching to obtain a qualified object list A;
if the output result of the qualified object list a is greater than 1, go to step ST 80;
if the output result of the qualified object list a is equal to 0, go to step ST 70;
ST70, sending the product item or service item corresponding to the successfully paid order to an operation module, calling the external data in the database by the operation module, and correspondingly linking the three-party platform system through a plurality of interfaces for matching to obtain a qualified object list B;
if the output result of the qualified object list B is greater than 1, go to step ST 80;
if the output result of the qualified object list B is equal to 0, go to step ST 110;
in step ST80, the order module sorts the qualified object list a/B according to the discrete data preset by the system as the sorting basis, the authorization module reads whether the order has the purchase authorization given by the account,
if the purchase authorization of the account number is provided, step ST100 is performed;
if the account does not have purchase authorization, the process proceeds to step ST 90;
step ST90, the system gives the operation account number to determine any product item/service item in the qualified object list A/B within the time T;
if the confirmation is not made within the predetermined time T, the process proceeds to step ST 110;
if the operation account is confirmed within the time T, performing step ST 100;
in step ST100, the payment module checks the difference between the amount of the order paid in step ST50 and the amount of the required merchandise item/service item determined in step ST 90:
if the amount difference is positive, indicating that the payment is full, and ordering to purchase or executing;
if the amount difference is negative, paying for the absolute value of the amount difference according to steps ST40-ST 50;
step ST110, the order is completed and the balance is returned back on the way.
As one of the optimization schemes, in the step ST80, the basis for sorting the qualified object list a/B is one or more discrete data, and when there are a plurality of discrete data, the operation account may perform priority customization on the plurality of discrete data for sorting the qualified object list a/B through the authorization module. Meanwhile, when the set sorting rule is set or the sorting rule cannot be executed or the sorting rule of the qualified object list A/B is not defined by the operation account, random selection is executed.
The method is realized by adopting the personalized reservation method based on the big data, and the personalized reservation system provides the existing products and/or services according to the time, place and mode for self-definition, so that the requirements of the existing products and services sold in the market on precision and personalized customization are met.
Has the advantages that:
the system provided by the invention can integrate the existing commercial products and service information in the aspect of resource utilization, and can carry out matching and provision in real time according to the user requirements, thereby improving the resource utilization rate and the turnover rate; in the aspect of time cost input, a user can complete personalized product or service requirement ordering or know the available state of the product or service in advance during a journey, so that the time cost of the user is saved, and the actual efficiency is improved.
The business model disclosed by the invention can mobilize the flexibility of each section, fully integrates the existing Internet shared data, and utilizes the O2O model to realize the accurate provision of personalized specific commodities/services at specific time and specific places, thereby greatly saving the existing conditions of long time period, uncontrollable delivery and the like caused by the purchase of users. Meanwhile, the business mode disclosed by the application is developed by taking a hotel as an offline central point, is not only limited to online data flow operation, but also matched with offline purchase and supply, and ensures the reliability and accuracy of order execution; the method has timely and effective feedback performance on the unexecutable orders so as to ensure that a user can grasp the actual general situation of the demand in real time and avoid the problems of efficiency reduction and cost investment increase caused by the fact that information is not smooth.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a method of the present application;
FIG. 2 is a schematic diagram of the architecture of a reservation system of the present application;
fig. 3 is a schematic diagram of a payment flow of the payment module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present application, it should be noted that if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which is usually placed when the product of the application is used, the description is only for convenience and simplicity, and the indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation and be operated, and thus, should not be construed as limiting the present application. Furthermore, the appearances of the terms "first," "second," and the like in the description herein are only used for distinguishing between similar elements and are not intended to be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal", "vertical" and the like when used in the description of the present application do not require that the components be absolutely horizontal or overhanging, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present application, it should also be noted that, unless otherwise explicitly stated or limited, the terms "disposed," "mounted," "connected," and "connected" should be interpreted broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
In order to more precisely describe the personalized reservation system provided by the present application, the applicant will take the most prominent hotel industry as an example, and take people on a trip as a demand user, and specifically, the present personalized reservation system will be described in detail.
Example 1:
with reference to fig. 2 and 3 of the specification, this embodiment is intended to describe a process and a data flow principle of implementing resource circulation, product reservation or enjoying services by using a big data-based personalized reservation system provided by this embodiment in a trip process for a pedestrian with personalized demand, specifically, the personalized reservation system includes an APP running through a mobile terminal and a server performing data interaction with the APP, and the server includes:
the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login authority;
the order module is used for classifying and storing discrete data for composing different types of orders, wherein any discrete data is used for limiting a single dimension of the order, and the order with a definite limited range is generated through a plurality of discrete data; the discrete data is composed of standard data and custom data.
The order module consists of a product order unit, a service order unit and a user-defined order unit; the product order unit comprises a plurality of product columns with product label attributes, a plurality of types of product items are arranged under any one of the product columns, and any one of the product items is associated with at least one piece of discrete data for limiting the screenable range of the product item in a self-defining mode through an account number; the label attributes of all product items stored in the product column are product classes.
The service order unit comprises a plurality of service columns with service label attributes, a plurality of types of service items are arranged under any one of the service columns, and any one of the service items is associated with at least one piece of discrete data for limiting the screenable range of the service item in a self-defining manner through an account number; the tag attributes of all the service items stored in the service bar are service classes.
The custom order unit comprises identifiable product items or service items input by account number custom and discrete data used for limiting the product items or service items input by the account number custom. The user logs in through the account number, the product items or service items input by the user in a self-defining mode and the corresponding discrete data need to be identified by the self-defining order unit, the unrecognizable self-defining field information is fed back and prompted by error information, and subsequent processes are not carried out.
The database is used for matching built-in data and/or external connection data required by the order generated by the order module, and the built-in data is preset or imported by the system; the built-in data is composed of a plurality of product item and service item data, and any product item or service item is fixedly associated with at least one discrete datum for limiting the product item and the service item so that an order module can identify and screen qualified objects or qualified object sets matched with any order. The external data is dynamic data of third-party big data or a platform acquired through interface link;
the payment module is used for sending a payment request to a payment system through the APP of the mobile terminal and realizing order payment through an online payment or a link three-party payment mode;
the operation module is used for judging whether the database has qualified objects meeting the order form or not, and arranging the qualified objects or the qualified object set in an ascending or descending order according to a single dimension or a plurality of dimensions preset by the system;
and the authorization module is used for executing any order purchasing authority under any account number for authorization.
Specifically, the method comprises the following steps:
so as to load the meeting attended by the rower in Beijing afternoon on a certain day, and take the cutting activity in the evening as an example:
the conference information scheduled in the afternoon is as follows:
the conference time is as follows: 14: 00-17: 00
The conference type is as follows: business class
Dressing requirements are as follows: shirts, suits, and leather shoes;
and (3) meeting content: a project lecture;
the activity information is tailored at night as follows:
the activity time is as follows: 18:30-20:30
The activity type is as follows: business class/banquet
Dressing requirements are as follows: full dress
The activity content is as follows: color scissors
The personalized reservation system provided according to the embodiments may schedule the itineraries as follows and the resource allocation scheme as follows:
the traveler has a certain ride on an airplane of 9:30 am of the same day to fly to Beijing, 12:00 arrives at the capital airport, 13:00 arrives at the check-in hotel, the traveler goes to the conference site immediately after changing the clothes, the preparation before the conference is carried out, the preparation time is about 40-50 minutes, and then the conference can be started.
Meanwhile, when the plum person waits for the airplane, the personalized reservation system provided by the embodiment can be used for reserving suit suits required by the afternoon meeting and full dresses required by the night lottery event by using less than 5 minutes. When li a certain order is reserved by the personalized reservation system provided by the embodiment, the hotel receives the order of the suit and the dress, the purchase can be executed, the time for the airplane to fly from the capital to the beijing is about 2 hours and 30 minutes, the time for the li a certain capital airport to arrive at the hotel through the airport special line or the special vehicle is about 1 hour, and then the related personnel of the hotel have sufficient time to complete the local time to purchase the product item of the order: western suit and full dress suit, when Li arrives at hotel 13:00 pm, stand horse to order individual customized products: suit and full dress suit are used, do not waste any time cost of li.
The process of obtaining the ordered product from the order of li in this embodiment through the personalized reservation system of this embodiment is as follows:
firstly, logging in a system account, and selecting a product column-product item through an order module: garment-western style clothes; setting the defined discrete data for the selected product item includes:
discrete data 1: the style is a commercial style;
discrete data 2: the color is black/dark;
discrete data 3: the sizes are respectively as follows: jacket, 175/95B-L; western-style trousers, 175/80A-L;
discrete data 4: the price is not higher than 2500 yuan;
discrete data 5: the brand is ya Gol;
discrete data 6: the lead time was 13:00 prior to the day.
Secondly, three-party payment is associated through the mobile phone: for example, the WeChat payment order is prepaid for 2500 yuan, and the order is successfully placed; meanwhile, the order is authorized to have the purchase right through the system authorization module, and the account is not required to be confirmed again.
Finally, the system matches built-in data to obtain 3 types of qualified objects meeting the order requirements, wherein the only difference is that the prices are different and are 1800 yuan/set, 1980 yuan/set and 2088 yuan/set respectively; the system carries out ascending arrangement according to the discrete data 4 as the ordering basis, the first rank is selected by default, and the default price of the system is 1800 Yuan/set of Yagol Western-style clothes. The goods can be taken from the corresponding merchant of the built-in data by related personnel of the hotel in the off-line execution mode or sent to the hotel by the merchant, the control is carried out within 90 minutes in the process of completing the time line, the time is obviously less than 3 hours and 30 minutes required by actually getting in the hotel by a certain plum, the time cost of the certain plum is greatly saved, and meanwhile, the calling and circulation of internal resources of clothing stores around the hotel are realized. It is worth mentioning that because the system aims at providing timely and accurate personalized services, the built-in data of the system is different according to actual hotel personnel allocation in principle, acquiescent collection is carried out by taking a hotel as a center and radiating the area within 10km, and the order execution time is completely controllable. The external data is generally adopted when the generation time for the order is more than 24 hours from the delivery time of the product item, so that the range of the actual product item can be expanded by more than one order, and the support of big data and massive product items and service items can be fully shared.
After the order is completed, the system settles the order fee of 1800 yuan, and simultaneously returns the balance to the corresponding original road to complete the order. It should be noted that this embodiment mainly describes the implementation of the system for personalized customized services, and does not pay attention to the economic benefits of actual business application, and certainly, the service fee may be deducted by the operation module and the payment module according to x% of the total amount of the order, where x is self-defined, which belongs to the prior art and is not the key point described in this embodiment nor described in detail.
The prior art can implement the scheme:
under the same condition, if a certain Li 13:00 arrives at a hotel and is less than 60 minutes away from the meeting, and at the moment, clothes for meeting and lottery activities are not properly attended, the certain Li is inevitably difficult to purchase by oneself when going out, otherwise, the meeting cannot be attended according to the regulation requirement, or serious problems such as meeting absence and the like occur.
The solution to the above problem according to the existing conditions would be to form an advance, e.g. to bring the 9:30 airplane to 7:30, then to have a meeting preparation and garment preparation time that would add 2 hours according to the same range and time, which would directly be 2 hours more invested in time cost; meanwhile, when a user buys related clothes outside the plum, additional expenses such as transportation fees and the like are generated, which leads to an increase in economic cost. Furthermore, the flight time is advanced, and the lie basically needs to prepare the departure airport at about 5:00 a.m., which will seriously negatively affect the rest of the lie.
In conclusion, the system can greatly reduce the investment in economy and time, and the efficiency can obviously increase.
Example 2:
the embodiment takes personalized content as an example of a service item to specifically describe the personalized reservation system based on big data described in the present application. In this embodiment, a personalized hotel needs to be reserved by taking a certain lie trip as an example. On the basis of the principle of embodiment 1, specifically, when shenzhen is issued on a certain date in li, the origin is the success, and the shenzhen hotel on the current date and the next date needs to stay, the requirements are as follows:
the hotel position is close to the Shenzhen bay park, and the maximum straight line distance does not exceed 5 km; the area of the hotel room is not less than 40m2The hotel room with a French window and a pillar-free hall has a bathtub, an independent wireless network and a big round bed, and can book the stay in the same day by 18: and 00, entering the residence.
Firstly, logging in a system account, and selecting a service column-service item through an order module: hotel reservation; setting the defined discrete data of the selected service item includes:
discrete data 1: the distance between the hotel address and the Shenzhen bay park is not more than 5 kilometers in the Nanshan region of the Shenzhen city;
discrete data 2: the area is more than or equal to 40 square;
discrete data 3: having a pillarless lobby;
discrete data 4: providing a bathtub;
discrete data 5: providing an independent wireless network;
discrete data 6: providing a big round bed;
discrete data 7: the day 18: 00 live in.
Secondly, three-party payment is associated through the mobile phone: for example, the Payment order is paid 500 yuan in advance, and the order is successfully placed.
The system screens all the coincidence items through the external data of the discrete data 1-7 correlation database, and the specific screening is as follows:
serial number | Name of hotel | Distance between two adjacent plates | Price |
1 | Shenzhen lotus hotel | 2.9km | More than 1600 yuan |
2 | Shenzhen bay kapok hotel | 1.8km | More than 1055 yuan |
3 | Rabbit apartment (Shenzhen offshore world shop) | 2.9km | 2138 membered |
4 | Shenzhen bay garden jade famous hotel | 2.1km | Greater than 1270 Yuan |
5 | Shenzhen Zhongzhong Wanhao hotel | 2.5km | > 1323 Yuan |
6 | Shenzhen ivy service apartment | 2.7km | > 1040 yuan |
7 | Shenzhen Kaibnski shop | 2.1km | More than 1062 yuan |
TABLE 1
The order module sends the list information to a preset account for determination, the implementation system provides a service of' selection for the order-giving person, and sets account confirmation time T, the value of T is the hotel list push time meeting the conditions to the hour before the check-in time, and if the total duration of T exceeds 2 hours, the value is 2 hours; and if the total duration of the T is less than 2 hours, taking the value as the actual duration.
And the order-placing account number receives the confirmation information to autonomously select any service item in the table 1, a payment module of the selected system is activated and calculates the difference of insufficient payment, and the order-placing is scheduled after the account number passes the difference payment.
It should be noted that the system can also customize the credit rating of any account number, any credit rating can be used for enjoying credit payment of a corresponding line correspondingly, and payment after order completion can be realized according to the corresponding line of the credit payment. Other data processing logic in this embodiment is the same as the product items in embodiment 1, and is not described herein.
Example 3:
with reference to fig. 1 to 3, the present embodiment provides a personalized reservation method based on big data, which is implemented by the personalized reservation system based on big data described in embodiment 1, and specifically includes the following steps:
ST10, logging in the intelligent mobile device APP through the account number to enter a preset system, and selecting corresponding product items or service items step by step according to the product columns or service columns displayed by the system; if a corresponding product item in the product bar is selected: the suit is western-style clothes.
Step ST20, custom-selecting discrete data 1-6 matching the suit determined in step ST10, discrete data 1: the style is a commercial style;
discrete data 2: the color is black/dark;
discrete data 3: the sizes are respectively as follows: jacket, 175/95B-L; western-style trousers, 175/80A-L;
discrete data 4: the price is not higher than 2500 yuan;
discrete data 5: the brand is ya Gol;
discrete data 6: the lead time was 13:00 prior to the day.
In step ST30, the order module generates an order, which is a product item: western-style clothes;
ST40, paying the order, the APP sends a payment request through the mobile terminal, and requests to obtain the authority of reading the payment system;
ST50, calling WeChat payment pages of the three-party payment respectively by selecting the three-party payment, and realizing the WeChat payment through a payment protocol;
ST60, sending suit information corresponding to the order successfully paid to an operation module, and calling built-in data in a database by the operation module for matching to obtain a qualified object list A;
object list a: 3 sets are counted, and on the premise that the discrete data 1-3 and 5-6 are met, the information of the discrete data 4 is 1800 yuan/set, 1980 yuan/set and 2088 yuan/set respectively;
if the output result of the qualified object list a is greater than 1, the process proceeds to step ST 80;
ST70, sending the product item or service item corresponding to the successfully paid order to an operation module, calling the external data in the database by the operation module, and correspondingly linking the three-party platform system through a plurality of interfaces for matching to obtain a qualified object list B;
if the output result of the qualified object list B is greater than 1, go to step ST 80;
if the output result of the qualified object list B is equal to 0, go to step ST 110; since the delivery date of the present embodiment is the current day and does not exceed 24 hours, the external data is not used, and the present embodiment does not involve the contents of step ST70 for the moment.
In step ST80, the order module sorts the list a of qualified objects according to the discrete data 4 preset in the system as a sorting criterion, the authorization module reads whether the order has a purchase authorization given by the account,
if the purchase authorization of the account number is provided, step ST100 is performed;
if the account does not have purchase authorization, the process proceeds to step ST 90; the time arrangement of the embodiment is very urgent, and the problems that information cannot be processed in time and time waste is caused due to the fact that no wireless signal exists on the airplane and the time cannot be confirmed in time exist, so that the maximum efficiency processing is realized by adopting an account authorization mode.
Step ST90, the system gives the operation account number to determine any product item/service item in the qualified object list A/B within the time T;
if the confirmation is not made within the predetermined time T, the process proceeds to step ST 110;
if the operation account is confirmed within the time T, performing step ST 100;
in step ST100, the payment module checks the difference between the amount of the order paid in step ST50 and the amount of the required merchandise item/service item determined in step ST 90:
if the amount difference is positive, indicating that the payment is full, and ordering to purchase or executing;
if the amount difference is negative, paying for the absolute value of the amount difference according to steps ST40-ST 50; in this embodiment, since the limit requirement of the discrete data 4 is that the price is not higher than 2500 yuan, and the payment amount at the previous stage is 2500 yuan, there is no problem, and therefore, this embodiment will not involve the supplementary payment process of step ST 100. Otherwise, it is needed.
Step ST110, the order is completed and the balance is returned back on the way.
It should be noted that, regarding the step ST80, the basis for sorting the qualified object list a/B is one or more discrete data, when there are a plurality of discrete data, the operation account can perform priority customization on the plurality of discrete data for sorting the qualified object list a/B through the authorization module. Meanwhile, when the set sorting rule is set or the sorting rule cannot be executed or the sorting rule of the qualified object list A/B is not defined by the operation account, random selection is executed. Specifically, the method comprises the following steps: if the prices of the discrete data 4 are ranked as the highest priority, the black colors in the discrete data 2 are ranked as the second priority, and the dark colors are ranked as the third priority, the western-style clothes with the highest ranking in the obtained object list should be the one with the lowest price; on the premise of the same equivalent position, the black suit is ranked before the dark suit, and so on.
Example 3:
the method is realized by adopting the personalized reservation method based on the big data, and the personalized reservation system provides the existing products and/or services according to the time, place and mode for self-definition, so that the requirements of the existing products and services sold in the market on precision and personalized customization are met.
As shown in embodiments 1 and 2, a person who travels to a hotel, such as a li person, can use the huge amount of resources available through online channels around the entrance or even on the market to the maximum extent, and does not spend additional time to invest cost. Under the support prerequisite of internet big data, realize the full node integration of hotel, retail, electricity merchant and express delivery/flashing to make up the spirit and the material demand of present people diversified, individualized, can further activate market economy, provide the prerequisite for wisdom hotel, customization service.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (7)
1. The utility model provides a personalized reservation system based on big data, includes the APP through mobile terminal operation, carries out data interaction's server with the APP, its characterized in that: the server includes:
the account module is used for creating and storing an account which can be used for logging in the personalized reservation system and verifying whether the account has legal login authority;
the order module is used for classifying and storing discrete data for composing different types of orders, wherein any discrete data is used for limiting a single dimension of the order, and the order with a definite limited range is generated through a plurality of discrete data; the discrete data consists of standard data and custom data;
the database is used for matching built-in data and/or external connection data required by the order generated by the order module, and the built-in data is preset or imported by the system; the external data is dynamic data of third-party big data or a platform acquired through interface link;
the payment module is used for sending a payment request to a payment system through the APP of the mobile terminal and realizing order payment through an online payment or a link three-party payment mode;
the operation module is used for judging whether the database has qualified objects meeting the order form or not, and arranging the qualified objects or the qualified object set in an ascending or descending order according to a single dimension or a plurality of dimensions preset by the system;
and the authorization module is used for executing any order purchasing authority under any account number for authorization.
2. The big-data-based personalized reservation system according to claim 1, wherein: the order module consists of a product order unit, a service order unit and a user-defined order unit; the product order unit comprises a plurality of product columns with product label attributes, a plurality of types of product items are arranged under any one of the product columns, and any one of the product items is associated with at least one piece of discrete data for limiting the screenable range of the product item in a self-defining mode through an account number;
the service order unit comprises a plurality of service columns with service label attributes, a plurality of types of service items are arranged under any one of the service columns, and any one of the service items is associated with at least one piece of discrete data for limiting the screenable range of the service item in a self-defining manner through an account number;
the custom order unit comprises identifiable product items or service items input by account number custom and discrete data used for limiting the product items or service items input by the account number custom.
3. A big data based personalized reservation system according to claim 1 or 2, characterized in that: the built-in data is composed of a plurality of product item and service item data, and any product item or service item is fixedly associated with at least one discrete datum for limiting the product item and the service item so that an order module can identify and screen qualified objects matched with any order.
4. A personalized reservation method based on big data is characterized in that: the personalized reservation system implementation based on big data as claimed in claim 3, specifically comprising the following steps:
ST10, logging in the intelligent mobile device APP through the account number to enter a preset system, and selecting corresponding product items or service items step by step according to the product columns or service columns displayed by the system;
a step ST20 of custom-selecting discrete data matched with the product item or service item determined in the step ST10, or custom-defining the product item or service item, and custom-defining discrete data for defining the custom-defined product item or service item;
step ST30, the order module generates an order, which is one product item or service item associating a plurality of discrete data for defining the product item or service item;
ST40, paying the order, the APP sends a payment request through the mobile terminal, and requests to obtain the authority of reading the payment system;
ST50, calling online payment or three-party payment page respectively by selecting online payment or three-party payment, and realizing online unionpay payment or three-party payment through a payment protocol;
ST60, sending the product item or service item corresponding to the order successfully paid to an operation module, and calling built-in data in a database by the operation module for matching to obtain a qualified object list A;
if the output result of the qualified object list a is greater than 1, go to step ST 80;
if the output result of the qualified object list a is equal to 0, go to step ST 70;
ST70, sending the product item or service item corresponding to the successfully paid order to an operation module, calling the external data in the database by the operation module, and correspondingly linking the three-party platform system through a plurality of interfaces for matching to obtain a qualified object list B;
if the output result of the qualified object list B is greater than 1, go to step ST 80;
if the output result of the qualified object list B is equal to 0, go to step ST 110;
in step ST80, the order module sorts the qualified object list a/B according to the discrete data preset by the system as the sorting basis, the authorization module reads whether the order has the purchase authorization given by the account,
if the purchase authorization of the account number is provided, step ST100 is performed;
if the account does not have purchase authorization, the process proceeds to step ST 90;
step ST90, the system gives the operation account number to determine any product item/service item in the qualified object list A/B within the time T;
if the confirmation is not made within the predetermined time T, the process proceeds to step ST 110;
if the operation account is confirmed within the time T, performing step ST 100;
in step ST100, the payment module checks the difference between the amount of the order paid in step ST50 and the amount of the required merchandise item/service item determined in step ST 90:
if the amount difference is positive, indicating that the payment is full, and ordering to purchase or executing;
if the amount difference is negative, paying for the absolute value of the amount difference according to steps ST40-ST 50;
step ST110, the order is completed and the balance is returned back on the way.
5. The big data based personalized reservation method of claim 4, wherein: the sorting criterion of the qualified object list a/B in step ST80 is one or more discrete data, and when there are a plurality of discrete data, the operation account may perform priority customization on the plurality of discrete data for sorting the qualified object list a/B through the authorization module.
6. The big data based personalized reservation method of claim 5, wherein: in step ST80, if the system or the operation account does not define the sort rule of the qualified object list a/B, a random selection is performed.
7. A business model characterized by: the personalized reservation method based on big data as claimed in claim 6 is adopted to provide the existing products and/or services according to the time, place and mode for self-definition through the personalized reservation system, so as to meet the requirement of precise and personalized customization service of the existing products and services sold in the market.
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