CN111461846B - Shopping record analysis feedback system and method thereof - Google Patents
Shopping record analysis feedback system and method thereof Download PDFInfo
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- CN111461846B CN111461846B CN202010377696.5A CN202010377696A CN111461846B CN 111461846 B CN111461846 B CN 111461846B CN 202010377696 A CN202010377696 A CN 202010377696A CN 111461846 B CN111461846 B CN 111461846B
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- G06Q—INFORMATION 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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Abstract
The invention discloses a shopping record analysis feedback system and a method thereof, belonging to the technical field of online shopping. The commodity circulation system is scientific and reasonable, is safe and convenient to use, analyzes the commodity using period of the user and the commodity using condition of the user at home by using the period analysis module, and confirms the commodity using period of the user and the number of people using commodities at the user home, so that commodities which meet the actual requirements of the user better can be pushed to the user at a more proper time, the shopping experience of the user is improved, and meanwhile, the commodity sales volume is improved.
Description
Technical Field
The invention relates to the technical field of online shopping, in particular to a shopping record analysis feedback system and a method thereof.
Background
With the continuous development of society and the continuous progress of science and technology, online shopping becomes the mainstream mode of purchasing commodities for people, which not only facilitates the life of people, but also promotes the progress and development of society, and under the normal condition, when a customer purchases commodities, the name of the commodity needs to be manually input for purchasing, when the customer needs to purchase the commodities, the commodity needs to be purchased, which is unknown, if the commodity information can be pushed when the customer needs to purchase a certain commodity, the experience of the user can be improved to the maximum extent, meanwhile, the sales volume of the commodity can be effectively improved, the social development is promoted, and in the existing system, whether the user checks the pushed commodities and purchases the commodities according to the pushed information can not be known, so that the pushing effect of the commodity information can not be known, there is a need for a shopping record analysis feedback system and method thereof to solve the above problems.
Disclosure of Invention
The invention aims to provide a shopping record analysis feedback system and a shopping record analysis feedback method, which aim to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a shopping record analysis feedback system comprises an information input module, a period analysis module, a system control module, a habit analysis module and a commodity pushing module;
the output ends of the information input module, the period analysis module and the habit analysis module are electrically connected with the input end of the system control module, and the output end of the system control module is electrically connected with the input end of the commodity pushing module;
the system comprises an information input module, a period analysis module, a system control module, a habit analysis module and a commodity information pushing module, wherein the information input module is used for inputting commodity information of online shopping into the system for providing a user with selective purchase, the period analysis module is used for analyzing the commodity use period of the user for using and selling, so as to regularly pushing the commodity information to the user according to the commodity use period of the user, on one hand, the life experience of the user is facilitated, on the other hand, the sales volume of the commodity is improved, the system control module is used for controlling the whole system, the habit of the user for carrying out the online shopping is analyzed, so as to know the type and name of the commodity required to be purchased by the user and the requirement of a delivery city when the commodity is purchased, so as to more closely push the commodity information to the user, and the commodity information pushing module pushes the commodity information to the, the commodity pushing device is used for pushing commodities to a user, and meanwhile, whether the user knows the commodity information pushed or not is judged, so that different pushing time and pushing commodities can be selected, and the purchasing desire of the user can be fitted more.
According to the technical scheme, the system control module comprises a central server and a storage database;
the central server is used for processing various data of the whole system, and the storage database is used for storing and recording various data;
the information input module comprises a commodity category input unit, a commodity name input unit, a commodity period input unit and a delivery address input unit;
the commodity category input unit is used for inputting categories to which all sold commodities belong into the system, the commodity name input unit is used for inputting all sold commodity names into the system, the commodity cycle input unit is used for inputting the use cycle of one person for all sold commodities into the system, and the delivery address input unit is used for inputting delivery addresses of all sold commodities into the system;
the output ends of the commodity category input unit, the commodity name input unit, the commodity period input unit and the delivery address input unit are electrically connected with the input end of the central server, and the output end of the central server is electrically connected with the input end of the storage database.
According to the technical scheme, the period analysis module comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit and a use period recording unit;
the shopping information acquisition unit is used for acquiring all information of the commodities purchased by the user so as to deduce the purchase period and the family use condition of the user according to the commodity information for purchasing, the shopping information processing unit is used for classifying the commodities according to the categories of the commodities purchased by the user, so as to know the shopping types and the needs of the users, the commodity use analysis unit is used for analyzing the use condition of the users according to the shopping period of the users for the same commodity and the use period of one person for the commodity, so that the commodity which better meets the requirements of the user can be calculated according to the family use condition of the user, the service cycle recording unit is used for confirming the service cycle of the commodity for the user through analyzing the commodity service condition so as to push the life consumables to the user regularly according to the service cycle of the user;
the output end of the central server is electrically connected with the input end of the shopping information acquisition unit, the output end of the shopping information acquisition unit is electrically connected with the input end of the shopping information processing unit, the output end of the shopping information processing unit is electrically connected with the input end of the commodity use analysis unit, and the output end of the commodity use analysis unit is electrically connected with the input end of the service cycle recording unit.
According to the technical scheme, the habit analyzing module comprises a commodity information summarizing unit, a commodity category analyzing unit, a delivery address analyzing unit and a shopping habit sorting unit;
the system comprises a commodity information summarizing unit, a commodity category analyzing unit, a delivery address analyzing unit, a shopping habit sorting unit and a commodity information analyzing unit, wherein the commodity information summarizing unit is used for summarizing commodity information purchased by a user, the commodity category analyzing unit is used for processing categories of commodities purchased by the user, the delivery address analyzing unit is used for processing delivery address information of commodities purchased by the user so as to judge whether a certain requirement exists on a commodity delivery address when the user purchases the commodities so as to push commodity information which meets the requirement of the user better according to the judgment of the user, and the shopping habit sorting unit is used for sorting the shopping habits of the user through the analysis of the shopping habits of the user;
the output end of the shopping information acquisition unit is electrically connected with the input end of the commodity information summarizing unit, the output end of the commodity information summarizing unit is electrically connected with the input end of the commodity category analysis unit, the output end of the commodity category analysis unit is electrically connected with the input end of the delivery address analysis unit, and the output end of the delivery address analysis unit is electrically connected with the input end of the shopping habit sorting unit.
According to the technical scheme, the commodity pushing module comprises a commodity information sending unit, an information clicking recording unit, an information clicking purchasing unit and a user behavior analyzing unit;
the system comprises a commodity information sending unit, an information click recording unit, an information click purchasing unit, a user behavior analyzing unit and a commodity information analyzing unit, wherein the commodity information sending unit is used for pushing related commodity information to a user according to the shopping habits of the user and the service cycle of the commodity, the information click recording unit is used for recording whether the commodity information pushed by the user is clicked or not so as to determine whether the commodity pushed to the user in a certain time period meets the leisure time of the user or not and confirm whether a good pushing effect can be achieved or not, the information click purchasing unit is used for recording whether the commodity pushed by the user is purchased or not after the commodity information pushed by the user is clicked or not so as to determine whether the commodity pushed to the user meets the user requirement or not, and the user behavior analyzing unit analyzes the attitude of the user on the pushed information by pushing;
the output end of the central server is electrically connected with the input end of the commodity information sending unit, the output end of the commodity information sending unit is electrically connected with the input end of the information click recording unit, the output end of the information click recording unit is electrically connected with the input end of the information click purchasing unit, and the output end of the information click purchasing unit is electrically connected with the input end of the user behavior analysis unit.
A shopping record analysis feedback method comprises the following steps:
s1, inputting all commodity information into a central server by using an information input module for a user to choose;
s2, analyzing the service cycle and the number of users of the commodity used by the user by using a cycle analysis module;
s3, analyzing the habits of the user for purchasing the commodities by using a habit analysis module;
s4, pushing shopping information to the user by using the commodity information sending unit according to the analysis of the period analysis module and the habit analysis module;
s5, confirming the information pushing effect through the information click recording unit and the information click purchasing unit;
and S6, confirming the pushing modes of different users according to the analysis of the information pushing effect.
According to the above technical solution, in the steps S1-S2, the information input module includes a commodity category input unit, a commodity name input unit, a commodity period input unit, and a shipping address input unit;
inputting a category to which a commodity to be sold belongs into a central server by the commodity category input unit, inputting a name of the commodity to be sold into the category by the commodity name input unit, inputting a use period of the commodity to be sold into the central server by the commodity period input unit, inputting a delivery address of the commodity to be sold into the central server by the delivery address input unit, and enabling a user to select and purchase the commodity by inputting information related to the commodity to be sold;
the period analysis module comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit and a use period recording unit;
the method comprises the steps that a shopping information acquisition unit is used for acquiring information of commodities purchased by a user, the information acquired by the shopping information acquisition unit comprises commodity names, commodity use periods, commodity delivery addresses and commodity purchase time, the shopping information processing unit is used for classifying the commodity information purchased by the user and classifying the commodity information according to the commodity names, and the shopping information processing unit is used for processing the commodity purchase time to form a set T ═ of the commodity purchase time1,T2,T3,...,TnIn which T is1,T2,T3,...,TnRespectively representing the time of purchasing commodities in different time periods of the user, analyzing the period of purchasing commodities by the user by using the commodity usage analysis unit, and calculating the average period for purchasing the same commodity according to a formula:
will be provided with
Comparing the service cycle of the commodity with t;
when in use
K represents a floating value of the use period, which indicates that the user uses the commodity for x persons;
the commodity pushing module pushes commodity information meeting the use requirements to the user according to the fact that the user is determined to be x people using commodities;
and recording the commodity using period of the user by using the using period recording unit.
According to the above technical solution, in the step S3, the habit analyzing module includes a commodity information summarizing unit, a commodity category analyzing unit, a shipping address analyzing unit, and a shopping habit sorting unit;
the commodity information summarizing unit is used for summarizing commodities purchased by a user and comprises the types, names and addresses of the commodities, the commodity type analyzing unit is used for counting the types of the commodities purchased by the user, at least more than one commodities are ranked according to the number of the types of the purchased commodities, the delivery address analyzing unit is used for counting the delivery addresses of the commodities purchased by the user, at least more than one commodities are ranked according to the number of the delivery addresses of the purchased commodities, and the shopping habit ranking unit is used for ranking the commodities purchased by the user according to the statistical results according to the commodity type analyzing unit and the delivery address analyzing unit.
According to the above technical solution, in step S4, the commodity information sending unit is used to send commodity information to the user, the commodity information sending unit sends commodities according to the sort order of the commodities purchased by the user, and the time when the commodity information sending unit pushes the commodity information is Y times per day.
According to the above technical solution, in the steps S5-S6, the information click recording unit is used to record whether the pushed commodity information is viewed by the user within the time P, and the information click purchasing unit is used to record whether the pushed commodity is purchased by the user;
when the user does not check the pushed commodity information, the commodity information sending unit modifies the information sending time;
when the user views the pushed commodity but does not purchase the commodity, the commodity information transmitting unit modifies the commodity kind and name of the transmitted information.
Compared with the prior art, the invention has the beneficial effects that: the period of using the commodities by the user and the commodity using condition at the home of the user are analyzed by the period analysis module, the period of using the commodities by the user and the number of the commodities used at the home of the user are confirmed, so that the commodities which are more in accordance with the actual requirements of the user can be pushed to the user at a more appropriate time, the shopping experience of the user can be improved, meanwhile, the sales volume of the commodities is improved, the habits of purchasing the commodities by the user are analyzed by the habit analysis module, the commodities which are more in accordance with the requirements of the user can be pushed, the time spent by the user for searching the commodities is reduced, the user experience is improved, meanwhile, the commodities are pushed by the commodity pushing module, whether the pushed commodities are checked and purchased by the user or not is known, the commodities can be pushed to the user at a more appropriate time point and can be pushed to the user, and the commodities, user experience is further improved, and influence on normal life of the user is avoided.
Drawings
FIG. 1 is a block diagram of a shopping record analysis feedback system according to the present invention;
FIG. 2 is a schematic diagram of a module connection structure of a shopping record analysis feedback system according to the present invention;
FIG. 3 is a schematic diagram illustrating the steps of a shopping record analysis feedback method according to the present invention;
FIG. 4 is a flowchart illustrating a shopping record analysis feedback method according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
As shown in fig. 1-4, a shopping record analysis feedback system comprises an information input module, a period analysis module, a system control module, a habit analysis module and a commodity pushing module;
the output ends of the information input module, the period analysis module and the habit analysis module are electrically connected with the input end of the system control module, and the output end of the system control module is electrically connected with the input end of the commodity pushing module;
the system comprises an information input module, a period analysis module, a system control module, a habit analysis module and a commodity information pushing module, wherein the information input module is used for inputting commodity information of online shopping into the system, the commodity information is supplied for a user to select to purchase, the period analysis module is used for analyzing the commodity use period used by the user to push commodity information to the user regularly according to the commodity use period used by the user, on one hand, the life experience of the user is facilitated, on the other hand, the sales volume of commodities is improved, the system control module is used for controlling the whole system, the habit of the online shopping is analyzed by the habit analysis module to know the type and name of commodities required to be purchased by the user and the requirement of a delivery city when the commodities are purchased by the user so as to push the commodity information to the user more closely, the commodity information pushing module pushes the commodity information to the user according to the, simultaneously, whether know whether to the commodity information of propelling movement to the user to select different propelling movement time and propelling movement commodity, make the purchase desire of laminating user more.
The system control module comprises a central server and a storage database;
the central server is used for processing various data of the whole system, and the storage database is used for storing and recording various data;
the information input module comprises a commodity category input unit, a commodity name input unit, a commodity period input unit and a delivery address input unit;
the commodity type input unit is used for inputting the types of all sold commodities into the system, the commodity name input unit is used for inputting all sold commodity names into the system, the commodity period input unit is used for inputting the use period of one person of all sold commodities into the system, and the delivery address input unit is used for inputting the delivery addresses of all sold commodities into the system;
the output ends of the commodity type input unit, the commodity name input unit, the commodity period input unit and the delivery address input unit are electrically connected with the input end of the central server, and the output end of the central server is electrically connected with the input end of the storage database.
The period analysis module comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit and a use period recording unit;
the system comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit, a commodity use recording unit and a commodity use recording unit, wherein the shopping information acquisition unit is used for acquiring all information of commodities purchased by a user so as to deduce the purchase period and the family use condition of the user according to the commodity information for purchasing;
the output end of the central server is electrically connected with the input end of the shopping information acquisition unit, the output end of the shopping information acquisition unit is electrically connected with the input end of the shopping information processing unit, the output end of the shopping information processing unit is electrically connected with the input end of the commodity use analysis unit, and the output end of the commodity use analysis unit is electrically connected with the input end of the use period recording unit.
The habit analysis module comprises a commodity information summarizing unit, a commodity category analysis unit, a delivery address analysis unit and a shopping habit sorting unit;
the commodity information summarizing unit is used for summarizing commodity information purchased by a user, the commodity category analyzing unit is used for processing categories of commodities purchased by the user, the delivery address analyzing unit is used for processing delivery address information of commodities purchased by the user so as to judge whether a certain requirement exists on a commodity delivery address when the user purchases the commodities so as to push commodity information which is more in line with the requirement of the user according to the judgment of the user, and the shopping habit sorting unit is used for sorting the shopping habits of the user through the analysis of the shopping habits of the user;
the output end of the shopping information acquisition unit is electrically connected with the input end of the commodity information summarizing unit, the output end of the commodity information summarizing unit is electrically connected with the input end of the commodity category analysis unit, the output end of the commodity category analysis unit is electrically connected with the input end of the delivery address analysis unit, and the output end of the delivery address analysis unit is electrically connected with the input end of the shopping habit sorting unit.
The commodity pushing module comprises a commodity information sending unit, an information clicking recording unit, an information clicking purchasing unit and a user behavior analysis unit;
the system comprises a commodity information sending unit, an information click recording unit, an information click purchasing unit, a user behavior analysis unit and a commodity information analyzing unit, wherein the commodity information sending unit is used for pushing related commodity information to a user according to the shopping habits of the user and the service cycle of the commodity;
the output end of the central server is electrically connected with the input end of the commodity information sending unit, the output end of the commodity information sending unit is electrically connected with the input end of the information click recording unit, the output end of the information click recording unit is electrically connected with the input end of the information click purchasing unit, and the output end of the information click purchasing unit is electrically connected with the input end of the user behavior analysis unit.
A shopping record analysis feedback method comprises the following steps:
s1, inputting all commodity information into a central server by using an information input module for a user to choose;
s2, analyzing the service cycle and the number of users of the commodity used by the user by using a cycle analysis module;
s3, analyzing the habits of the user for purchasing the commodities by using a habit analysis module;
s4, pushing shopping information to the user by using the commodity information sending unit according to the analysis of the period analysis module and the habit analysis module;
s5, confirming the information pushing effect through the information click recording unit and the information click purchasing unit;
and S6, confirming the pushing modes of different users according to the analysis of the information pushing effect.
In steps S1-S2, the information input module includes a commodity category input unit, a commodity name input unit, a commodity cycle input unit, and a shipping address input unit;
inputting a category to which a sold commodity belongs into a central server by using a commodity category input unit, inputting a name of the sold commodity into the category to which the sold commodity belongs by using a commodity name input unit, inputting a use period of the sold commodity into the central server by using a commodity period input unit, wherein the use period of the commodity is t, inputting a delivery address of the sold commodity into the central server by using a delivery address input unit, and enabling a user to select and purchase the commodity by inputting relevant information of the sold commodity;
the period analysis module comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit and a use period recording unit;
the shopping information processing unit is used for processing the commodity purchasing time to form a set T ═ T of the commodity purchasing time1,T2,T3,...,TnIn which T is1,T2,T3,...,TnRespectively representing the time of purchasing commodities in different time periods of the user, analyzing the period of purchasing commodities by the user by utilizing a commodity use analysis unit, and calculating the average period for purchasing the same commodity according to a formula:
will be provided with
Comparing the service cycle of the commodity with t;
when in use
K represents a floating value of the use period, which indicates that the user uses the commodity for x persons;
the commodity pushing module pushes commodity information meeting the use requirements to the user according to the fact that the user is determined to be x people using commodities;
and recording the period of using the commodity by the user by using the using period recording unit.
In step S3, the habit analyzing module includes a commodity information summarizing unit, a commodity category analyzing unit, a shipping address analyzing unit, and a shopping habit sorting unit;
the commodity information summarizing unit is used for summarizing commodities purchased by a user and comprises the types, names and addresses of the commodities, the commodity type analyzing unit is used for counting the types of the commodities purchased by the user, at least one commodity is sorted according to the number of the types of the purchased commodities, the delivery address analyzing unit is used for counting the delivery addresses of the commodities purchased by the user, at least one commodity is sorted according to the number of the delivery addresses of the purchased commodities, and the shopping habit sorting unit is used for sorting the commodities purchased by the user according to the counting results of the commodity type analyzing unit and the delivery address analyzing unit.
In step S4, the commodity information sending unit sends the commodity information to the user, the commodity information sending unit sends the commodities according to the sort order of the commodities purchased by the user, and the time when the commodity information sending unit pushes the commodity information is Y times per day.
In the steps of S5-S6, the information click recording unit is used for recording whether the pushed commodity information is checked by the user within the time P, and the information click purchasing unit is used for recording whether the pushed commodity is purchased by the user;
when the user does not check the pushed commodity information, the commodity information sending unit modifies the information sending time;
when the user views the pushed commodity but does not purchase the commodity, the commodity information transmitting unit modifies the commodity kind and name of the transmitted information.
The first embodiment is as follows:
the commodity sold is shampoo:
inputting the type of the living washing article to which shampoo belongs into a central server by using a commodity type input unit, inputting the name of the shampoo into the type of the living washing article by using a commodity name input unit, inputting the use period of a sold commodity into the central server by using a commodity period input unit, wherein the use period of the commodity is 3 months, inputting a delivery address of the sold commodity into the central server by using a delivery address input unit, Jiangsu Nanjing, a delivery address of the sold commodity, and enabling a user to select and purchase the commodity by inputting relevant information of the sold commodity;
the method comprises the following steps of collecting information of commodities purchased by a user by using a shopping information collection unit, wherein the information collected by the shopping information collection unit comprises shampoo, a 3-month service cycle, a commodity delivery address Jiangsu Nanjing and commodity purchase time of 2020 and 3-month and 18-day, classifying the commodity information purchased by the user by using a shopping information processing unit, classifying the commodity information according to commodity names, processing the commodity purchase time by using a shopping information processing unit to form a set T (2019/08/20,2019/10/12,2019/11/25,2020/01/10,2020/03/18) of the commodity purchase time, analyzing the period of the commodity purchased by the user by using a commodity use analysis unit, and calculating an average period for purchasing the same commodity according to a formula:
will be provided with
Comparing with the service cycle t of the commodity which is 90;
pushing commodity information which more meets the use requirement to the user according to the fact that the user is determined to be 2 people using commodities;
and recording the period of using the commodity by the user by using the using period recording unit.
The habit analysis module comprises a commodity information summarizing unit, a commodity category analysis unit, a delivery address analysis unit and a shopping habit sorting unit;
the commodity information summarizing unit is used for summarizing commodities purchased by a user and comprises the types, names and addresses of the commodities, the commodity type analyzing unit is used for counting the types of the commodities purchased by the user, at least one commodity is sorted according to the number of the types of the purchased commodities, the delivery address analyzing unit is used for counting the delivery addresses of the commodities purchased by the user, at least one commodity is sorted according to the number of the delivery addresses of the purchased commodities, and the shopping habit sorting unit is used for sorting the commodities purchased by the user according to the counting results of the commodity type analyzing unit and the delivery address analyzing unit.
And sending the commodity information to the user by utilizing a commodity information sending unit, wherein the commodity information sending unit sends commodities according to the sort order of the commodities purchased by the user, and the time for pushing the commodity information by the commodity information sending unit is 16:00 every day.
The information click recording unit is used for recording whether the pushed commodity information is checked by the user within 1 hour, and the information click purchasing unit is used for recording whether the pushed commodity is purchased by the user;
the user does not check the pushed commodity information, and the commodity information sending unit modifies the information sending time.
Example two:
the commodity sold is shampoo:
inputting the type of the living washing article to which shampoo belongs into a central server by using a commodity type input unit, inputting the name of the shampoo into the type of the living washing article by using a commodity name input unit, inputting the use period of a sold commodity into the central server by using a commodity period input unit, wherein the use period of the commodity is 3 months, inputting a delivery address of the sold commodity into the central server by using a delivery address input unit, Jiangsu Nanjing, a delivery address of the sold commodity, and enabling a user to select and purchase the commodity by inputting relevant information of the sold commodity;
the method comprises the following steps of collecting information of commodities purchased by a user by using a shopping information collection unit, wherein the information collected by the shopping information collection unit comprises shampoo, a 3-month service cycle, a commodity delivery address Jiangsu Nanjing and commodity purchase time of 2020 and 3-month and 18-day, classifying the commodity information purchased by the user by using a shopping information processing unit, classifying the commodity information according to commodity names, processing the commodity purchase time by using a shopping information processing unit to form a set T (2019/08/20,2019/10/12,2019/11/25,2020/01/10,2020/03/18) of the commodity purchase time, analyzing the period of the commodity purchased by the user by using a commodity use analysis unit, and calculating an average period for purchasing the same commodity according to a formula:
will be provided with
Comparing with the service cycle t of the commodity which is 90;
pushing commodity information which more meets the use requirement to the user according to the fact that the user is determined to be 2 people using commodities;
and recording the period of using the commodity by the user by using the using period recording unit.
The habit analysis module comprises a commodity information summarizing unit, a commodity category analysis unit, a delivery address analysis unit and a shopping habit sorting unit;
the commodity information summarizing unit is used for summarizing commodities purchased by a user and comprises the types, names and addresses of the commodities, the commodity type analyzing unit is used for counting the types of the commodities purchased by the user, at least one commodity is sorted according to the number of the types of the purchased commodities, the delivery address analyzing unit is used for counting the delivery addresses of the commodities purchased by the user, at least one commodity is sorted according to the number of the delivery addresses of the purchased commodities, and the shopping habit sorting unit is used for sorting the commodities purchased by the user according to the counting results of the commodity type analyzing unit and the delivery address analyzing unit.
And sending the commodity information to the user by utilizing a commodity information sending unit, wherein the commodity information sending unit sends commodities according to the sort order of the commodities purchased by the user, and the time for pushing the commodity information by the commodity information sending unit is 16:00 every day.
The information click recording unit is used for recording whether the pushed commodity information is checked by the user within 1 hour, and the information click purchasing unit is used for recording whether the pushed commodity is purchased by the user;
the user checks the pushed commodity information within 1 hour;
the user looks over the commodity of propelling movement but and buys commodity, revises the information of propelling movement commodity for propelling movement shower bath.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (7)
1. A shopping record analysis feedback system is characterized in that: the analysis feedback system comprises an information input module, a period analysis module, a system control module, a habit analysis module and a commodity pushing module;
the output ends of the information input module, the period analysis module and the habit analysis module are electrically connected with the input end of the system control module, and the output end of the system control module is electrically connected with the input end of the commodity pushing module;
the system comprises an information input module, a period analysis module, a system control module, a habit analysis module and a commodity pushing module, wherein the information input module is used for inputting commodity information of online shopping into the system and supplying the commodity information to a user for selective purchase, the period analysis module is used for analyzing the commodity use period of the online shopping for the user, the system control module is used for controlling the whole system, the habit analysis module is used for analyzing the habit of the online shopping for the user, and the commodity pushing module pushes commodity information to the user according to the commodity use period of the online shopping for the user and the shopping habit;
the period analysis module comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit and a use period recording unit;
the system comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit, a use period recording unit and a commodity use condition recording unit, wherein the shopping information acquisition unit is used for acquiring all information of commodities purchased by a user, the shopping information processing unit is used for classifying the commodities according to the categories of the commodities purchased by the user, the commodity use analysis unit is used for analyzing the use conditions of the user according to the shopping period of the same commodity and the use period of one person in the commodity, and the use period recording unit is used for confirming the use period of the commodity of the user through the analysis of the use conditions;
for purchasing goods by user using shopping information collecting unitThe information acquisition unit acquires information, the information acquired by the shopping information acquisition unit comprises commodity names, commodity use periods, commodity delivery addresses and commodity purchase time, the shopping information processing unit is used for classifying the commodity information purchased by the user and classifying the commodity information according to the commodity names, and the shopping information processing unit processes the commodity purchase time to form a set T ═ T of the commodity purchase time1,T2,T3,...,TnIn which T is1,T2,T3,...,TnRespectively representing the time of purchasing commodities in different time periods of the user, analyzing the period of purchasing commodities by the user by using the commodity usage analysis unit, and calculating the average period for purchasing the same commodity according to a formula:
will be provided with
Comparing the service cycle of the commodity with t;
when in use
K represents a floating value of the use period, which indicates that the user uses the commodity for x persons;
the commodity pushing module pushes commodity information meeting the use requirements to the user according to the fact that the user is determined to be x people using commodities;
recording the commodity using period of a user by using the using period recording unit;
the system control module comprises a central server and a storage database;
the output end of the central server is electrically connected with the input end of the shopping information acquisition unit, the output end of the shopping information acquisition unit is electrically connected with the input end of the shopping information processing unit, the output end of the shopping information processing unit is electrically connected with the input end of the commodity usage analysis unit, and the output end of the commodity usage analysis unit is electrically connected with the input end of the usage period recording unit;
the central server is used for processing various data of the whole system, and the storage database is used for storing and recording various data;
the information input module comprises a commodity category input unit, a commodity name input unit, a commodity period input unit and a delivery address input unit;
the commodity category input unit is used for inputting categories to which all sold commodities belong into the system, the commodity name input unit is used for inputting all sold commodity names into the system, the commodity cycle input unit is used for inputting the use cycle of one person for all sold commodities into the system, and the delivery address input unit is used for inputting delivery addresses of all sold commodities into the system;
the output ends of the commodity category input unit, the commodity name input unit, the commodity period input unit and the delivery address input unit are electrically connected with the input end of the central server, and the output end of the central server is electrically connected with the input end of the storage database.
2. A shopping record analysis feedback system according to claim 1, wherein: the habit analysis module comprises a commodity information summarizing unit, a commodity category analysis unit, a delivery address analysis unit and a shopping habit sorting unit;
the system comprises a commodity information summarizing unit, a commodity category analyzing unit, a delivery address analyzing unit, a shopping habit sorting unit and a commodity information analyzing unit, wherein the commodity information summarizing unit is used for summarizing commodity information purchased by a user, the commodity category analyzing unit is used for processing categories of commodities purchased by the user, the delivery address analyzing unit is used for processing delivery address information of commodities purchased by the user, and the shopping habit sorting unit is used for sorting shopping habits of the user through analysis of shopping habits of the user;
the output end of the shopping information acquisition unit is electrically connected with the input end of the commodity information summarizing unit, the output end of the commodity information summarizing unit is electrically connected with the input end of the commodity category analysis unit, the output end of the commodity category analysis unit is electrically connected with the input end of the delivery address analysis unit, and the output end of the delivery address analysis unit is electrically connected with the input end of the shopping habit sorting unit.
3. A shopping record analysis feedback system according to claim 1, wherein: the commodity pushing module comprises a commodity information sending unit, an information click recording unit, an information click purchasing unit and a user behavior analysis unit;
the system comprises a commodity information sending unit, an information click recording unit, an information click purchasing unit and a user behavior analyzing unit, wherein the commodity information sending unit is used for pushing related commodity information to a user according to the shopping habit of the user and the service cycle of commodities, the information click recording unit is used for recording whether the user clicks the pushed commodity information or not, the information click purchasing unit is used for recording whether the user purchases the pushed commodity information or not, and the user behavior analyzing unit is used for analyzing the attitude of the user on the pushed information by pushing the commodity information to the user and recording the conditions of clicking the commodity information and purchasing the commodity information by the user;
the output end of the central server is electrically connected with the input end of the commodity information sending unit, the output end of the commodity information sending unit is electrically connected with the input end of the information click recording unit, the output end of the information click recording unit is electrically connected with the input end of the information click purchasing unit, and the output end of the information click purchasing unit is electrically connected with the input end of the user behavior analysis unit.
4. A shopping record analysis feedback method is characterized in that: the analysis feedback method comprises the following steps:
s1, inputting all commodity information into a central server by using an information input module for a user to choose;
s2, analyzing the service cycle and the number of users of the commodity used by the user by using a cycle analysis module;
s3, analyzing the habits of the user for purchasing the commodities by using a habit analysis module;
s4, pushing shopping information to the user by using the commodity information sending unit according to the analysis of the period analysis module and the habit analysis module;
s5, confirming the information pushing effect through the information click recording unit and the information click purchasing unit;
s6, confirming the pushing modes of different users according to the analysis of the information pushing effect;
in the steps S1-S2, the information input module includes a goods category input unit, a goods name input unit, a goods period input unit, and a shipping address input unit;
inputting a category to which a commodity to be sold belongs into a central server by the commodity category input unit, inputting a name of the commodity to be sold into the central server by the commodity name input unit, inputting a use period of the commodity to be sold into the central server by the commodity period input unit, the use period of the commodity being t, and inputting a shipping address of the commodity to be sold into the central server by the shipping address input unit;
the period analysis module comprises a shopping information acquisition unit, a shopping information processing unit, a commodity use analysis unit and a use period recording unit;
the method comprises the steps that a shopping information acquisition unit is used for acquiring information of commodities purchased by a user, the information acquired by the shopping information acquisition unit comprises commodity names, commodity use periods, commodity delivery addresses and commodity purchase time, the shopping information processing unit is used for classifying the commodity information purchased by the user and classifying the commodity information according to the commodity names, and the shopping information processing unit is used for processing the commodity purchase time to form a set T ═ of the commodity purchase time1,T2,T3,...,TnIn which T is1,T2,T3,...,TnRespectively representing the time of purchasing commodities in different time periods of the user, analyzing the period of purchasing commodities by the user by using the commodity usage analysis unit, and calculating the average period for purchasing the same commodity according to a formula:
will be provided with
Comparing the service cycle of the commodity with t;
when in use
K represents a floating value of the use period, which indicates that the user uses the commodity for x persons;
and recording the commodity using period of the user by using the using period recording unit.
5. The shopping record analysis feedback method according to claim 4, wherein: in step S3, the habit analyzing module includes a commodity information summarizing unit, a commodity category analyzing unit, a shipping address analyzing unit, and a shopping habit sorting unit;
the commodity information summarizing unit is used for summarizing commodities purchased by a user and comprises the types, names and addresses of the commodities, the commodity type analyzing unit is used for counting the types of the commodities purchased by the user, at least more than one commodities are ranked according to the number of the types of the purchased commodities, the delivery address analyzing unit is used for counting the delivery addresses of the commodities purchased by the user, at least more than one commodities are ranked according to the number of the delivery addresses of the purchased commodities, and the shopping habit ranking unit is used for ranking the commodities purchased by the user according to the statistical results according to the commodity type analyzing unit and the delivery address analyzing unit.
6. The shopping record analysis feedback method according to claim 5, wherein: in step S4, the commodity information sending unit sends commodity information to the user, the commodity information sending unit sends the commodities according to the sort order of the commodities purchased by the user, and the time when the commodity information sending unit pushes the commodity information is Y times per day.
7. The shopping record analysis feedback method according to claim 6, wherein: in the steps S5-S6, the information click recording unit is used to record whether the pushed commodity information is viewed by the user within the time P, and the information click purchasing unit is used to record whether the pushed commodity is purchased by the user;
when the user does not check the pushed commodity information, the commodity information sending unit modifies the information sending time;
when the user views the pushed commodity but does not purchase the commodity, the commodity information transmitting unit modifies the commodity kind and name of the transmitted information.
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