CN111062767A - Full-process C2B intelligent matching method and system - Google Patents

Full-process C2B intelligent matching method and system Download PDF

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CN111062767A
CN111062767A CN201811203609.3A CN201811203609A CN111062767A CN 111062767 A CN111062767 A CN 111062767A CN 201811203609 A CN201811203609 A CN 201811203609A CN 111062767 A CN111062767 A CN 111062767A
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user
configuration information
order
product
vehicle
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陈超
林云松
赵杰
吴恩奇
杨帆
顾文
严舰
孙星
谢福俊
孙钰栋
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SAIC Motor Corp Ltd
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    • GPHYSICS
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    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The application discloses a full-flow C2B intelligent matching method and a system, wherein the method comprises the following steps: the method comprises the steps of obtaining configuration information selected by a user on line, recommending corresponding products based on the configuration information, obtaining orders generated by the user based on the recommended products, and tracking the state of the products selected by the user based on the orders after the user finishes order payment. According to the method and the system, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.

Description

Full-process C2B intelligent matching method and system
Technical Field
The application relates to the technical field of intelligent matching, in particular to a full-flow C2B (Customer to business) intelligent matching method and system.
Background
With the advent of the "internet +" and the industrial 4.0 era, information technology derived from internet thinking will bring new opportunities and challenges to manufacturing enterprises.
In the conventional mode, the vehicle matching service provided by the host factory can only realize limited option package selection, and the user must go to the dealer to operate according to the conventional vehicle purchasing process. Therefore, the user experience is poor in the conventional vehicle matching service.
Therefore, how to improve the matching efficiency and experience of the user is an urgent problem to be solved.
Disclosure of Invention
In view of this, the present application provides a full-flow C2B intelligent matching method, so that a user can automatically implement intelligent matching without going to a dealer, and compared with the prior art, matching efficiency and user experience of the user are improved.
The application provides a full-flow C2B intelligent matching method, which comprises the following steps:
acquiring configuration information selected by a user online;
recommending corresponding products based on the configuration information;
acquiring an order generated by a user based on a recommended product;
when the user completes the order payment, the status of the product selected by the user is tracked based on the order.
Preferably, after the obtaining of the configuration information selected by the user online, the method further includes:
and verifying whether the configuration information selected by the user online has conflict, and if not, executing a step of recommending a corresponding product based on the configuration information.
Preferably, after the obtaining of the configuration information selected by the user online, the method further includes:
and displaying the relevant information of the configuration information.
Preferably, after the obtaining of the order generated by the user based on the recommended product, the method further includes:
and displaying the preferential information corresponding to the order.
Preferably, the tracking the state of the product selected by the user based on the order after the user completes the order payment comprises:
after the user completes the order payment, the scheduling and manufacturing progress of the product selected by the user is tracked based on the order.
A full-flow C2B intelligent matching system comprises:
the first acquisition module is used for acquiring the configuration information selected by the user on line;
the recommending module is used for recommending corresponding products based on the configuration information;
the second acquisition module is used for acquiring an order generated by the user based on the recommended product;
and the tracking module is used for tracking the state of the product selected by the user based on the order after the user finishes order payment.
Preferably, the system further comprises:
and the verification module is used for verifying whether the configuration information selected by the user on line conflicts, and if not, the recommendation module recommends the corresponding product based on the configuration information.
Preferably, the system further comprises:
and the first display module is used for displaying the relevant information of the configuration information.
Preferably, the system further comprises:
and the second display module is used for displaying the discount information corresponding to the order.
Preferably, the tracking module is specifically configured to:
after the user completes the order payment, the scheduling and manufacturing progress of the product selected by the user is tracked based on the order.
In summary, the present application discloses a full-process C2B intelligent matching method, when the full-process C2B intelligent selection needs to be implemented, first obtaining configuration information selected by a user online, then recommending a corresponding product based on the configuration information, obtaining an order generated by the user based on the recommended product, and after the user completes order payment, tracking a state of the product selected by the user based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described 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 creative efforts.
FIG. 1 is a flow chart of an embodiment 1 of a full process C2B intelligent allocation method disclosed in the present application;
FIG. 2 is a flow chart of an embodiment 2 of a full process C2B intelligent allocation method disclosed in the present application;
FIG. 3 is a flowchart of embodiment 3 of a full process C2B intelligent matching method disclosed in the present application;
FIG. 4 is a schematic structural diagram of an embodiment 1 of a full-flow C2B intelligent allocation system disclosed in the present application;
FIG. 5 is a schematic structural diagram of embodiment 2 of a full-flow C2B intelligent matching system disclosed in the present application;
fig. 6 is a schematic structural diagram of embodiment 3 of a full-flow C2B intelligent matching system disclosed in the present application.
Detailed Description
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 only a part of the embodiments of the present application, and not all of the embodiments. 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.
As shown in fig. 1, a flowchart of embodiment 1 of a full-process C2B intelligent matching method disclosed in the present application may include the following steps:
s101, acquiring configuration information selected by a user on line;
when the full flow C2B intelligent selection needs to be realized, firstly, the user can select the configuration information of the product in an online mode. After the user selects the configuration information of the product, the system acquires the configuration information selected by the user on line.
It should be noted that, when the user selects the configuration information of the product, there are various implementations. For example, an interactive mode can be adopted, namely the system provides several queries of using scene types for the user, configuration information meeting requirements is automatically recommended according to the responses of the user, and the user can continuously select the configuration information on the basis, so that the user with little knowledge of vehicle configuration is facilitated. And a passenger mode can be adopted, namely all the optional configurations are listed to the user according to the power assembly, the appearance, the interior and other groups, so that the vehicle can be conveniently known, and the user who likes to control all the vehicles can be favored. In addition, if the user selects the configuration containing the engineering constraint binding, the system will automatically prompt the user and automatically update the other configuration options of the binding after the user confirms. It should be noted that the configuration page is automatically generated based on the information such as the vehicle configuration data, description, price, constraint binding, etc. provided by the ECM system.
S102, recommending corresponding products based on the configuration information;
and after the configuration information selected by the user is obtained, recommending a product matched with the configuration information according to the configuration information selected by the user.
S103, obtaining an order generated by the user based on the recommended product;
after recommending corresponding products according to the configuration information, the user can directly select the dealers, the vehicle lifting dates and the like of the recommended products on line to generate a real and effective vehicle purchasing order. And the system automatically calculates the fastest production time and delivery date of the vehicle type based on the current scheduling state of the generating line according to the configuration selected by the user, and automatically adds the order to the scheduling system after the user selects the vehicle lifting date.
And S104, after the user finishes order payment, tracking the state of the product selected by the user based on the order.
The user can select to pay the vehicle purchase order money online, the system can automatically and synchronously display corresponding information to the dealer, and the user can purchase the vehicle contract all the month and directly take the order money receipt from the dealer. After the user completes the order payment, the state of the vehicle selected by the user can be tracked according to the order.
In summary, in the above embodiment, when the full process C2B intelligent selection needs to be implemented, first, the configuration information selected by the user online is obtained, then, the corresponding product is recommended based on the configuration information, the order generated by the user based on the recommended product is obtained, and after the user completes the order payment, the state of the product selected by the user is tracked based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
As shown in fig. 2, a flowchart of embodiment 2 of a full-flow C2B intelligent matching method disclosed in the present application may include the following steps:
s201, acquiring configuration information selected by a user on line;
when the full flow C2B intelligent selection needs to be realized, firstly, the user can select the configuration information of the product in an online mode. After the user selects the configuration information of the product, the system acquires the configuration information selected by the user on line.
It should be noted that, when the user selects the configuration information of the product, there are various implementations. For example, an interactive mode can be adopted, namely the system provides several queries of using scene types for the user, configuration information meeting requirements is automatically recommended according to the responses of the user, and the user can continuously select the configuration information on the basis, so that the user with little knowledge of vehicle configuration is facilitated. And a passenger mode can be adopted, namely all the optional configurations are listed to the user according to the power assembly, the appearance, the interior and other groups, so that the vehicle can be conveniently known, and the user who likes to control all the vehicles can be favored. In addition, if the user selects the configuration containing the engineering constraint binding, the system will automatically prompt the user and automatically update the other configuration options of the binding after the user confirms. It should be noted that the configuration page is automatically generated based on the information such as the vehicle configuration data, description, price, constraint binding, etc. provided by the ECM system.
S202, verifying whether the configuration information selected by the user online has conflict, if not, entering the step S203:
after the configuration information selected by the user on line is obtained, the configuration information selected by the user is further calculated in real time so as to verify whether conflict exists between the configuration information selected by the user.
S203, recommending corresponding products based on the configuration information;
and when no conflict exists between the configuration information selected by the user, recommending a product matched with the configuration information according to the configuration information selected by the user.
S204, obtaining an order generated by the user based on the recommended product;
after recommending corresponding products according to the configuration information, the user can directly select the dealers, the vehicle lifting dates and the like of the recommended products on line to generate a real and effective vehicle purchasing order. And the system automatically calculates the fastest production time and delivery date of the vehicle type based on the current scheduling state of the generating line according to the configuration selected by the user, and automatically adds the order to the scheduling system after the user selects the vehicle lifting date.
S205, after the user finishes order payment, tracking the state of the product selected by the user based on the order.
The user can select to pay the vehicle purchase order money online, the system can automatically and synchronously display corresponding information to the dealer, and the user can purchase the vehicle contract all the month and directly take the order money receipt from the dealer. After the user completes the order payment, the state of the vehicle selected by the user can be tracked according to the order.
In summary, in the above embodiment, when the full process C2B intelligent selection needs to be implemented, first, the configuration information selected online by the user is obtained, then it is verified whether the configuration information selected online by the user has a conflict, if not, the corresponding product is recommended based on the configuration information, the order generated by the user based on the recommended product is obtained, and after the user completes the order payment, the state of the product selected by the user is tracked based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
As shown in fig. 3, a flowchart of embodiment 3 of a full-process C2B intelligent matching method disclosed in the present application may include the following steps:
s301, acquiring configuration information selected by a user on line;
when the full flow C2B intelligent selection needs to be realized, firstly, the user can select the configuration information of the product in an online mode. After the user selects the configuration information of the product, the system acquires the configuration information selected by the user on line.
It should be noted that, when the user selects the configuration information of the product, there are various implementations. For example, an interactive mode can be adopted, namely the system provides several queries of using scene types for the user, configuration information meeting requirements is automatically recommended according to the responses of the user, and the user can continuously select the configuration information on the basis, so that the user with little knowledge of vehicle configuration is facilitated. And a passenger mode can be adopted, namely all the optional configurations are listed to the user according to the power assembly, the appearance, the interior and other groups, so that the vehicle can be conveniently known, and the user who likes to control all the vehicles can be favored. In addition, if the user selects the configuration containing the engineering constraint binding, the system will automatically prompt the user and automatically update the other configuration options of the binding after the user confirms. It should be noted that the configuration page is automatically generated based on the information such as the vehicle configuration data, description, price, constraint binding, etc. provided by the ECM system.
S302, displaying relevant information of the configuration information;
in the process of selecting the configuration information by the user, the system can introduce the configuration information to the user through various forms such as 3D/2D/text and the like. 3D, namely the real-time rendering model effect, supports 360-degree angle replacement, and is far superior to the effect realized by other manufacturers on the market through a fixed angle sequence frame. 2D, high precision 2D pictures, vividly show the details of the configuration. Text, i.e., through a marketable language, information describing the configuration, and distinctions from other configurations.
S303, verifying whether the configuration information selected by the user online has conflict, if not, entering the step S304:
meanwhile, after the configuration information selected by the user on line is acquired, the configuration information selected by the user is further resolved in real time so as to verify whether conflict exists between the configuration information selected by the user.
S304, recommending corresponding products based on the configuration information;
and when no conflict exists between the configuration information selected by the user, recommending a product matched with the configuration information according to the configuration information selected by the user.
S305, obtaining an order generated by a user based on a recommended product;
after recommending corresponding products according to the configuration information, the user can directly select the dealers, the vehicle lifting dates and the like of the recommended products on line to generate a real and effective vehicle purchasing order. And the system automatically calculates the fastest production time and delivery date of the vehicle type based on the current scheduling state of the generating line according to the configuration selected by the user, and automatically adds the order to the scheduling system after the user selects the vehicle lifting date.
S306, displaying the discount information corresponding to the order;
after the order produced by the user according to the recommended product is obtained, preferential information corresponding to the order can be displayed, so that the user can conveniently know the preferential information. For example, a purchase offer to display the entire vehicle or a specified configuration or a specified vehicle type, and the various offers may be independent or combined.
And S307, after the user finishes order payment, tracking the scheduling and manufacturing progress of the product selected by the user based on the order.
The user can select to pay the vehicle purchase order money online, the system can automatically and synchronously display corresponding information to the dealer, and the user can purchase the vehicle contract all the month and directly take the order money receipt from the dealer. After the user completes the order payment, the state of the vehicle selected by the user can be tracked according to the order. For example, the user, the dealer and the manufacturer track the links of vehicle selection, order placing, fixed-deposit payment, scheduling, manufacturing, offline, vehicle delivery, payment and the like by using the same order, and can be associated with a system for vehicle owner authentication, after-sale record inquiry and the like, so that the communication of the whole life cycle is realized.
In summary, in the above embodiment, when the full process C2B intelligent selection needs to be implemented, first, the configuration information selected by the user online is obtained, the related information of the configuration information is displayed, then it is verified whether the configuration information selected by the user online has a conflict, if not, the corresponding product is recommended based on the configuration information, the order generated by the user based on the recommended product is obtained, the offer information corresponding to the order is displayed, and after the user completes the order payment, the state of the product selected by the user is tracked based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
As shown in fig. 4, a schematic structural diagram of an embodiment 1 of a full-process C2B intelligent allocation system disclosed in the present application is shown, where the system may include:
a first obtaining module 401, configured to obtain configuration information selected online by a user;
when the full flow C2B intelligent selection needs to be realized, firstly, the user can select the configuration information of the product in an online mode. After the user selects the configuration information of the product, the system acquires the configuration information selected by the user on line.
It should be noted that, when the user selects the configuration information of the product, there are various implementations. For example, an interactive mode can be adopted, namely the system provides several queries of using scene types for the user, configuration information meeting requirements is automatically recommended according to the responses of the user, and the user can continuously select the configuration information on the basis, so that the user with little knowledge of vehicle configuration is facilitated. And a passenger mode can be adopted, namely all the optional configurations are listed to the user according to the power assembly, the appearance, the interior and other groups, so that the vehicle can be conveniently known, and the user who likes to control all the vehicles can be favored. In addition, if the user selects the configuration containing the engineering constraint binding, the system will automatically prompt the user and automatically update the other configuration options of the binding after the user confirms. It should be noted that the configuration page is automatically generated based on the information such as the vehicle configuration data, description, price, constraint binding, etc. provided by the ECM system.
A recommending module 402 for recommending corresponding products based on the configuration information;
and after the configuration information selected by the user is obtained, recommending a product matched with the configuration information according to the configuration information selected by the user.
A second obtaining module 403, configured to obtain an order generated by a user based on a recommended product;
after recommending corresponding products according to the configuration information, the user can directly select the dealers, the vehicle lifting dates and the like of the recommended products on line to generate a real and effective vehicle purchasing order. And the system automatically calculates the fastest production time and delivery date of the vehicle type based on the current scheduling state of the generating line according to the configuration selected by the user, and automatically adds the order to the scheduling system after the user selects the vehicle lifting date.
A tracking module 404 for tracking a status of a product selected by the user based on the order after the user completes payment of the order.
The user can select to pay the vehicle purchase order money online, the system can automatically and synchronously display corresponding information to the dealer, and the user can purchase the vehicle contract all the month and directly take the order money receipt from the dealer. After the user completes the order payment, the state of the vehicle selected by the user can be tracked according to the order.
In summary, in the above embodiment, when the full process C2B intelligent selection needs to be implemented, first, the configuration information selected by the user online is obtained, then, the corresponding product is recommended based on the configuration information, the order generated by the user based on the recommended product is obtained, and after the user completes the order payment, the state of the product selected by the user is tracked based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
As shown in fig. 5, a schematic structural diagram of embodiment 2 of a full-flow C2B intelligent matching system disclosed in the present application is shown, where the system may include:
a first obtaining module 501, configured to obtain configuration information selected by a user online;
when the full flow C2B intelligent selection needs to be realized, firstly, the user can select the configuration information of the product in an online mode. After the user selects the configuration information of the product, the system acquires the configuration information selected by the user on line.
It should be noted that, when the user selects the configuration information of the product, there are various implementations. For example, an interactive mode can be adopted, namely the system provides several queries of using scene types for the user, configuration information meeting requirements is automatically recommended according to the responses of the user, and the user can continuously select the configuration information on the basis, so that the user with little knowledge of vehicle configuration is facilitated. And a passenger mode can be adopted, namely all the optional configurations are listed to the user according to the power assembly, the appearance, the interior and other groups, so that the vehicle can be conveniently known, and the user who likes to control all the vehicles can be favored. In addition, if the user selects the configuration containing the engineering constraint binding, the system will automatically prompt the user and automatically update the other configuration options of the binding after the user confirms. It should be noted that the configuration page is automatically generated based on the information such as the vehicle configuration data, description, price, constraint binding, etc. provided by the ECM system.
A verification module 502, configured to verify whether there is a conflict in the configuration information selected online by the user;
after the configuration information selected by the user on line is obtained, the configuration information selected by the user is further calculated in real time so as to verify whether conflict exists between the configuration information selected by the user.
The recommending module 503 is configured to recommend a corresponding product based on the configuration information when the configuration information selected by the user online does not have a conflict;
and when no conflict exists between the configuration information selected by the user, recommending a product matched with the configuration information according to the configuration information selected by the user.
A second obtaining module 504, configured to obtain an order generated by a user based on a recommended product;
after recommending corresponding products according to the configuration information, the user can directly select the dealers, the vehicle lifting dates and the like of the recommended products on line to generate a real and effective vehicle purchasing order. And the system automatically calculates the fastest production time and delivery date of the vehicle type based on the current scheduling state of the generating line according to the configuration selected by the user, and automatically adds the order to the scheduling system after the user selects the vehicle lifting date.
And a tracking module 505 for tracking a status of the product selected by the user based on the order after the user completes the order payment.
The user can select to pay the vehicle purchase order money online, the system can automatically and synchronously display corresponding information to the dealer, and the user can purchase the vehicle contract all the month and directly take the order money receipt from the dealer. After the user completes the order payment, the state of the vehicle selected by the user can be tracked according to the order.
In summary, in the above embodiment, when the full process C2B intelligent selection needs to be implemented, first, the configuration information selected online by the user is obtained, then it is verified whether the configuration information selected online by the user has a conflict, if not, the corresponding product is recommended based on the configuration information, the order generated by the user based on the recommended product is obtained, and after the user completes the order payment, the state of the product selected by the user is tracked based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
As shown in fig. 6, a schematic structural diagram of embodiment 3 of a full-flow C2B intelligent matching system disclosed in the present application is shown, where the system may include:
a first obtaining module 601, configured to obtain configuration information selected by a user online;
when the full flow C2B intelligent selection needs to be realized, firstly, the user can select the configuration information of the product in an online mode. After the user selects the configuration information of the product, the system acquires the configuration information selected by the user on line.
It should be noted that, when the user selects the configuration information of the product, there are various implementations. For example, an interactive mode can be adopted, namely the system provides several queries of using scene types for the user, configuration information meeting requirements is automatically recommended according to the responses of the user, and the user can continuously select the configuration information on the basis, so that the user with little knowledge of vehicle configuration is facilitated. And a passenger mode can be adopted, namely all the optional configurations are listed to the user according to the power assembly, the appearance, the interior and other groups, so that the vehicle can be conveniently known, and the user who likes to control all the vehicles can be favored. In addition, if the user selects the configuration containing the engineering constraint binding, the system will automatically prompt the user and automatically update the other configuration options of the binding after the user confirms. It should be noted that the configuration page is automatically generated based on the information such as the vehicle configuration data, description, price, constraint binding, etc. provided by the ECM system.
A first display module 602, configured to display relevant information of the configuration information;
in the process of selecting the configuration information by the user, the system can introduce the configuration information to the user through various forms such as 3D/2D/text and the like. 3D, namely the real-time rendering model effect, supports 360-degree angle replacement, and is far superior to the effect realized by other manufacturers on the market through a fixed angle sequence frame. 2D, high precision 2D pictures, vividly show the details of the configuration. Text, i.e., through a marketable language, information describing the configuration, and distinctions from other configurations.
A verification module 603, configured to verify whether there is a conflict in the configuration information selected online by the user;
meanwhile, after the configuration information selected by the user on line is acquired, the configuration information selected by the user is further resolved in real time so as to verify whether conflict exists between the configuration information selected by the user.
A recommending module 604, configured to recommend a corresponding product based on the configuration information when there is no conflict between the configuration information selected by the user online;
and when no conflict exists between the configuration information selected by the user, recommending a product matched with the configuration information according to the configuration information selected by the user.
A second obtaining module 605, configured to obtain an order generated by the user based on the recommended product;
after recommending corresponding products according to the configuration information, the user can directly select the dealers, the vehicle lifting dates and the like of the recommended products on line to generate a real and effective vehicle purchasing order. And the system automatically calculates the fastest production time and delivery date of the vehicle type based on the current scheduling state of the generating line according to the configuration selected by the user, and automatically adds the order to the scheduling system after the user selects the vehicle lifting date.
A second display module 606, configured to display the coupon information corresponding to the order;
after the order produced by the user according to the recommended product is obtained, preferential information corresponding to the order can be displayed, so that the user can conveniently know the preferential information. For example, a purchase offer to display the entire vehicle or a specified configuration or a specified vehicle type, and the various offers may be independent or combined.
And the tracking module 607 is used for tracking the scheduling and manufacturing progress of the product selected by the user based on the order after the user completes the order payment.
The user can select to pay the vehicle purchase order money online, the system can automatically and synchronously display corresponding information to the dealer, and the user can purchase the vehicle contract all the month and directly take the order money receipt from the dealer. After the user completes the order payment, the state of the vehicle selected by the user can be tracked according to the order. For example, the user, the dealer and the manufacturer track the links of vehicle selection, order placing, fixed-deposit payment, scheduling, manufacturing, offline, vehicle delivery, payment and the like by using the same order, and can be associated with a system for vehicle owner authentication, after-sale record inquiry and the like, so that the communication of the whole life cycle is realized.
In summary, in the above embodiment, when the full process C2B intelligent selection needs to be implemented, first, the configuration information selected by the user online is obtained, the related information of the configuration information is displayed, then it is verified whether the configuration information selected by the user online has a conflict, if not, the corresponding product is recommended based on the configuration information, the order generated by the user based on the recommended product is obtained, the offer information corresponding to the order is displayed, and after the user completes the order payment, the state of the product selected by the user is tracked based on the order. Therefore, according to the technical scheme disclosed by the application, the user can automatically realize intelligent matching without going to a dealer, and compared with the prior art, the matching efficiency and the user experience of the user are improved.
Therefore, the service architecture of the full-process C2B intelligent matching system disclosed by the application has the following characteristics:
a. service platform: the services are platform-based and independent. Such as e-commerce platform, marketing platform, payment platform, activity platform, etc. The basic service sinks and can be reused. Such as user, merchandise, category, promotion, aging, etc.
b. Separating core services from non-core services: the core service is separated from the non-core service, the core service is simplified (beneficial to stability), and the non-core service is diversified. Such as transaction services, universal transaction services.
c. Isolating different types of traffic: the online transaction service is to sign a transaction contract between a buyer and a seller, and high availability needs to be guaranteed preferentially so that a user can place an order quickly (e-commerce foreground). The fulfillment services do not have high requirements on availability and may prioritize consistency (order back-end, DMS). The flash purchase service has high requirement for high concurrency and should be isolated from the ordinary service.
d. Distinguishing a main process and an auxiliary process: sorting out those is the main flow. The main process is preferentially ensured to be successfully completed during operation, and the auxiliary process can adopt a background asynchronous mode. And the main process rollback caused by the failure of the auxiliary process is avoided. When the order is made, the snapshot is called synchronously, and the account station and the invoice are informed asynchronously. The matching system highlights the sharing service on the service architecture, and provides common service for each presentation layer by adopting the popular middle platform concept of the internet enterprises.
The technical architecture of the full-flow C2B intelligent matching system disclosed by the application has the following characteristics:
a. the stability is all centered on the stability, the structure is simple and clear, and the design is not excessive.
b. Decoupling/splitting, separating a stable part from a variable part, separating core services from non-core services, separating a main process from an auxiliary process, separating application and data, and separating service and implementation details.
c. Abstracting, namely abstracting an application only by depending on a service, and realizing details, positions and a database without depending on the service: the application only depends on a logical database, does not care about the position and the score of a physical database, and the server is abstracted: and the virtualized deployment is applied, and the resources are dynamically allocated without the configuration of a relation entity machine.
d. Loosely coupled, cross-domain call asynchronization: asynchronous decoupling between different service domains, non-core service asynchronization: the core non-core services are decoupled asynchronously as much as possible, and when the core non-core services need to be synchronously invoked, the timeout time and the task queue length need to be designed.
e. Fault tolerant design, autonomous services, services can be modified, deployed, published and managed independently of one another. Avoiding the initiation of chain reaction. Cluster fault tolerance, application system clustering, and avoidance of single points. Disaster tolerance of multiple rooms, deployment of multiple rooms and multiple activities (Jinqiao-Pukou double rooms).
f. The method comprises the steps of dependency design, wherein a stable part does not depend on a variable part, the variable part can depend on the stable part, when the variable part is called across service domains, the variable part is asynchronous and weakly dependent, basic services cannot depend on process services upwards, combined services can be used, the process services can depend on the basic services downwards, non-functional services do not depend on functional services, the functional services can depend on the non-functional services, platform services do not depend on upper-layer services, upper-layer applications can depend on the platform services, core services do not depend on the non-core services, and the non-core services can depend on the core services.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A full-flow C2B intelligent matching method is characterized by comprising the following steps:
acquiring configuration information selected by a user online;
recommending corresponding products based on the configuration information;
acquiring an order generated by a user based on a recommended product;
when the user completes the order payment, the status of the product selected by the user is tracked based on the order.
2. The method of claim 1, wherein after obtaining the configuration information selected by the user online, the method further comprises:
and verifying whether the configuration information selected by the user online has conflict, and if not, executing a step of recommending a corresponding product based on the configuration information.
3. The method of claim 1, wherein after obtaining the configuration information selected by the user online, the method further comprises:
and displaying the relevant information of the configuration information.
4. The method of claim 1, wherein obtaining the order generated by the user based on the recommended product further comprises:
and displaying the preferential information corresponding to the order.
5. The method of claim 1, wherein tracking the status of the user-selected product based on the order after the user completes payment of the order comprises:
after the user completes the order payment, the scheduling and manufacturing progress of the product selected by the user is tracked based on the order.
6. A full-flow C2B intelligent matching system, comprising:
the first acquisition module is used for acquiring the configuration information selected by the user on line;
the recommending module is used for recommending corresponding products based on the configuration information;
the second acquisition module is used for acquiring an order generated by the user based on the recommended product;
and the tracking module is used for tracking the state of the product selected by the user based on the order after the user finishes order payment.
7. The system of claim 6, further comprising:
and the verification module is used for verifying whether the configuration information selected by the user on line conflicts, and if not, the recommendation module recommends the corresponding product based on the configuration information.
8. The system of claim 6, further comprising:
and the first display module is used for displaying the relevant information of the configuration information.
9. The system of claim 6, further comprising:
and the second display module is used for displaying the discount information corresponding to the order.
10. The system of claim 6, wherein the tracking module is specifically configured to:
after the user completes the order payment, the scheduling and manufacturing progress of the product selected by the user is tracked based on the order.
CN201811203609.3A 2018-10-16 2018-10-16 Full-process C2B intelligent matching method and system Pending CN111062767A (en)

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