CN112215685B - E-commerce management system based on Internet of things - Google Patents
E-commerce management system based on Internet of things Download PDFInfo
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Abstract
The invention discloses an e-commerce management system based on the Internet of things, which is used for solving the problems that how to analyze e-commerce information of a user to obtain a purchase-based value, the e-commerce order information is convenient for the user to check and logistics update data is reasonably pushed to the user to check through a shopping platform of the user with the integrated purchase-based value, and the e-commerce management system comprises a data acquisition module, a server, an e-commerce management module and a logistics monitoring module; according to the method and the system, the E-commerce information of the registered user is analyzed to obtain the purchase-based value of the registered user, and the shopping platforms of the registered user are fused through the purchase-based value, so that the registered user can conveniently check the order information of each shopping platform; the logistics monitoring module is used for carrying out logistics monitoring, sequencing and pushing on the orders of the registered users on the fusion platform, so that the logistics monitoring module can reasonably push logistics update data of the orders to the registered users according to the checking degree of the registered users on the orders, and the registered users can know the logistics data of the orders in time.
Description
Technical Field
The invention relates to the technical field of electronic commerce management, in particular to an e-commerce management system based on the Internet of things.
Background
Electronic commerce is called e-commerce for short, and generally refers to a novel business operation mode in which, in wide business trading activities in various places around the world, in an internet open network environment, based on a browser or server application mode, a buyer and a seller can carry out various business activities without conspiracy, and the online shopping of the consumer, the online transaction and the online electronic payment among merchants, and various business activities, transaction activities, financial activities and related comprehensive service activities are realized.
The existing e-commerce management system has the problems that the purchase-based value cannot be obtained by analyzing according to the e-commerce information of the user, and the e-commerce order information can be conveniently checked by the user and the logistics update data can be reasonably pushed to the user for checking through the shopping platform of the user with the integrated purchase-based value; the user needs to check corresponding order information and logistics information on a plurality of shopping platforms, so that the use is inconvenient.
Disclosure of Invention
The E-commerce management system based on the Internet of things is provided for solving the problems that how to analyze E-commerce information of a user to obtain a purchase-based value, the E-commerce order information is convenient for the user to check through a shopping platform of the user with the integrated purchase-based value, and logistics update data is reasonably pushed to the user to check; according to the method and the system, the E-commerce information of the registered user is analyzed, the purchase-based value of the registered user is obtained by combining the total browsing duration of the user, the data of purchased commodities and the like, and the shopping platforms of the registered user are fused through the purchase-based value, so that the registered user can conveniently check the order information of each shopping platform; the logistics monitoring module is used for carrying out logistics monitoring, sequencing and pushing on the orders of the registered users on the fusion platform, so that the logistics monitoring module can reasonably push logistics update data of the orders to the registered users according to the checking degree of the registered users on the orders, and the registered users can know the logistics data of the orders in time.
The purpose of the invention can be realized by the following technical scheme: an e-commerce management system based on the Internet of things comprises a data acquisition module, a server, an e-commerce management module and a logistics monitoring module;
the data acquisition module is used for acquiring e-commerce information of a registered user and sending the e-commerce information to the server; the E-commerce information comprises the registration time of the shopping platform, the starting time and the ending time of browsing the shopping platform, the order quantity of purchased commodities, the amount corresponding to the order and the order placing time corresponding to the order;
the e-commerce management module is used for carrying out fusion management on shopping platforms of registered users, and the specific management steps are as follows:
the method comprises the following steps: acquiring E-commerce information of a registered user, calculating the time difference between the registration time of the shopping platform and the current time of the system to acquire the registration time length of the registered user and marking the registration time length as M1; calculating the time difference between the starting time and the ending time of the shopping browsing platform to obtain single browsing time length, summing all the single browsing time lengths to obtain total browsing time length, and marking the total browsing time length as M2; comparing the end time of browsing the shopping platform with the current time of the system, and marking the end time nearest to the current time of the system as the nearest end time; calculating the time difference between the latest finishing time and the current time of the system to obtain the unregistered time length and marking the unregistered time length as M3;
step two: ordering the order placing time of all orders according to the time sequence, then sequentially calculating the order placing interval time difference of the corresponding order placing time of two adjacent orders, summing all the order placing interval time differences, taking the average value to obtain an order placing interval average value, and marking the average value as M4; marking the order quantity of the purchased commodities as M5; summing the corresponding money amounts of all the orders to obtain a total purchase money amount which is marked as M6;
step three: normalizing the registration time length, the total browsing time length, the unregistered time length, the order placing interval mean value, the order quantity of purchased commodities and the total purchasing amount and taking the numerical values of the order quantity and the total purchasing amount;
step four: using formulas
Acquiring a purchase value MQ of a registered user on a shopping platform; b1, b2, b3, b4, b5 and b6 are all preset proportionality coefficients; mu is a correction factor, and the value is 0.75983;
step five: when the purchase-dependent value of the shopping platform is greater than or equal to the set purchase-dependent threshold value, marking the shopping platform as a fusion platform of the registered user;
step six: when the purchase-dependent value of the fusion platform is smaller than the preset purchase-dependent threshold value, deleting the fusion platform; performing information fusion on all fusion platforms of registered users to obtain a fusion total platform;
step seven: a registered user checks commodities, purchases commodities and corresponding orders through a fusion general platform; when the registered user checks the order of purchasing the commodity, counting the moment when the registered user clicks the order of purchasing the commodity; the total number of checking the purchase order is increased once;
the logistics monitoring module is used for performing logistics monitoring on orders of registered users on the fusion platform, and the specific monitoring steps are as follows:
s1: acquiring all unreceived orders registered by a user in the fusion platform, and identifying the order amount of the unreceived orders and the shopping platform to which the unreceived orders belong; counting the time and total checking times of clicks of registered users corresponding to unreceived orders; arranging the moments of the registered users clicking the unreceived orders according to the time sequence, calculating the time difference between the moments of two adjacent registered users clicking the unreceived orders to obtain viewing interval durations, summing all the viewing interval durations, taking the mean value of the viewing interval durations to obtain the viewing mean value of the unreceived orders, and marking the viewing mean value as D1;
s2: total number of views of unreceived orders and order amount are labeled as D2 and D3, respectively; normalizing the checked average value, the checked total times and the order amount and taking the numerical values;
s3: using formulas
Obtaining a physical surveillance value DZ of the unreceived order, wherein b7, b8 and b9 are all preset proportionality coefficients; the MQ1 is the purchase value of the shopping platform to which the non-received order belongs;
s4: when the physical surveillance value of the unreceived order is greater than the set physical surveillance threshold value, the unreceived order is marked as a logistics monitoring order;
s5: the logistics monitoring module collects real-time logistics information of a logistics monitoring order through the Internet of things, when the real-time logistics information is updated, the real-time logistics information and the logistics monitoring order are sent to a server and a mobile phone terminal of a corresponding registered user through the Internet of things, and meanwhile the logistics monitoring module marks the moment of sending the real-time logistics information as a monitoring initial moment; meanwhile, the logistics monitoring module collects the viewing starting time of the registered user viewing the real-time logistics information of the logistics monitoring order through the mobile phone terminal; when the registered user does not check, marking the current moment of the system as a check starting moment, calculating the time difference between the monitoring initial moment and the check starting moment to obtain a monitoring check time length, and when the monitoring check time length is greater than a set check threshold value, marking the monitoring check time length as a delayed check time length;
s6: and summing all the delay check durations of the logistics monitoring orders to obtain a total delay duration, and when the total delay duration is greater than a set total threshold, stopping logistics monitoring of the logistics monitoring orders and deleting the logistics monitoring orders.
Preferably, the system also comprises a registration login module; the registration login module is used for submitting registration information for registration by a user and sending the registration information with successful registration to the server; the server marks the user successfully registered as a registered user; the registration information comprises a name, a mobile phone number, a name of a shopping platform, a receiving address, an account number and an account password.
Preferably, the system further comprises an e-commerce recommending module, wherein the e-commerce recommending module comprises an e-commerce collecting unit, an e-commerce input unit and an e-commerce recommending unit;
the E-commerce collection unit is used for collecting online shop information of the registered user fusion platform and sending the online shop information to the E-commerce recommendation unit, wherein the online shop information comprises the name of the discount commodity, the discount price, the sales volume of the discount commodity and the delivery address;
the E-commerce input unit is used for registering the name and the price of the commodity to be purchased input by the user and sending the name and the price of the commodity to be purchased to the E-commerce recommendation module unit;
the e-commerce recommending unit is used for recommending registered users, and the specific recommending steps are as follows:
SS 1: marking the online shop with the name of the discount commodity consistent with the name of the commodity to be purchased as a primary-selection shop; marking the discount price of the primary shop and the sales volume of the discount commodity as ZK1 and ZK2 respectively;
SS 2: acquiring a delivery address of the folded commodity of the online shop, calculating a distance difference between the delivery address and a receiving address of a registered user to obtain a delivery distance, and marking the delivery distance as ZK 3; marking the price to be purchased input by the registered user as ZK 4; dimension removing is carried out on the discount price, the sales volume of the discount commodity, the delivery distance and the price to be purchased, and the numerical value of the dimension removing is taken;
SS 3: using formulas
Obtaining a recommended value ZH of the primary shop; wherein a1, a2 and a3 are all preset weight values;
SS 4: marking the primary selected shop with the recommendation value larger than a preset recommendation threshold value as a recommended shop; and sorting the recommended shops from big to small according to the recommended values and sending the sorted recommended shops to a fusion total platform of the registered users.
Compared with the prior art, the invention has the beneficial effects that:
1. the E-commerce management module performs fusion management on a shopping platform of a registered user, acquires and analyzes E-commerce information of the registered user, and acquires and obtains a purchase-based value of the registered user on the shopping platform by using a formula; when the purchase-dependent value of the shopping platform is greater than or equal to the set purchase-dependent threshold value, marking the shopping platform as a fusion platform of the registered user; when the purchase-dependent value of the fusion platform is smaller than the preset purchase-dependent threshold value, deleting the fusion platform; performing information fusion on all fusion platforms of registered users to obtain a fusion total platform; the e-commerce information of the registered user is analyzed, the purchase-based value of the registered user is obtained by combining the total browsing duration of the user, the data of purchased commodities and the like, and the shopping platforms of the registered user are fused through the purchase-based value, so that the registered user can conveniently check the order information of each shopping platform;
2. the logistics monitoring module carries out logistics monitoring on the order of the registered user on the fusion platform, acquires all unreceived orders of the registered user in the fusion platform, acquires an object monitoring value of the unreceived order by using a formula, and marks the unreceived order as the logistics monitoring order if the object monitoring value of the unreceived order is greater than a set object monitoring threshold value; the logistics monitoring module collects real-time logistics information of the logistics monitoring order through the Internet of things, when the real-time logistics information is updated, the real-time logistics information and the logistics monitoring order are sent to the server and the mobile phone terminals corresponding to registered users through the Internet of things, the logistics monitoring module conducts logistics monitoring, sequencing and pushing on the order of the registered users on the fusion platform, the logistics monitoring module is convenient to push logistics updating data of the order to the registered users reasonably, and the registered users can know logistics data of the order timely.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Referring to fig. 1, an e-commerce management system based on the internet of things includes a data acquisition module, a server, an e-commerce management module, a logistics monitoring module, a registration and login module, an e-commerce recommendation module, and an order processing module;
the data acquisition module is used for acquiring e-commerce information of a registered user and sending the e-commerce information to the server; the E-commerce information comprises the registration time of the shopping platform, the starting time and the ending time of browsing the shopping platform, the order quantity of purchased commodities, the amount corresponding to the order and the order placing time corresponding to the order;
the e-commerce management module is used for carrying out fusion management on the shopping platform of the registered user, and the specific management steps are as follows:
the method comprises the following steps: acquiring E-commerce information of a registered user, calculating the time difference between the registration time of the shopping platform and the current time of the system to acquire the registration time length of the registered user and marking the registration time length as M1; calculating the time difference between the starting time and the ending time of the shopping browsing platform to obtain single browsing time length, summing all the single browsing time lengths to obtain total browsing time length, and marking the total browsing time length as M2; comparing the end time of browsing the shopping platform with the current time of the system, and marking the end time nearest to the current time of the system as the nearest end time; calculating the time difference between the latest finishing time and the current time of the system to obtain the unregistered time length and marking the unregistered time length as M3;
step two: ordering the order placing time of all orders according to the time sequence, then sequentially calculating the order placing interval time difference of the corresponding order placing time of two adjacent orders, summing all the order placing interval time differences, taking the average value to obtain an order placing interval average value, and marking the average value as M4; marking the order quantity of the purchased commodities as M5; summing the corresponding money amounts of all the orders to obtain a total purchase money amount which is marked as M6;
step three: normalizing the registration time length, the total browsing time length, the unregistered time length, the order placing interval mean value, the order quantity of purchased commodities and the total purchasing amount and taking the numerical values of the order quantity and the total purchasing amount;
step four: using formulas
Acquiring a purchase value MQ of a registered user on a shopping platform; b1, b2, b3, b4, b5 and b6 are all preset proportionality coefficients; mu is a correction factor, and the value is 0.75983;
step five: when the purchase-dependent value of the shopping platform is greater than or equal to the set purchase-dependent threshold value, marking the shopping platform as a fusion platform of the registered user;
step six: when the purchase-dependent value of the fusion platform is smaller than the preset purchase-dependent threshold value, deleting the fusion platform; performing information fusion on all fusion platforms of registered users to obtain a fusion total platform;
step seven: a registered user checks commodities, purchases commodities and corresponding orders through a fusion general platform; when the registered user checks the order of purchasing the commodity, counting the moment when the registered user clicks the order of purchasing the commodity; the total number of checking the purchase order is increased once;
the logistics monitoring module is used for performing logistics monitoring on orders of registered users on the fusion platform, and the specific monitoring steps are as follows:
s1: acquiring all unreceived orders registered by a user in the fusion platform, and identifying the order amount of the unreceived orders and the shopping platform to which the unreceived orders belong; counting the time and total checking times of clicks of registered users corresponding to unreceived orders; arranging the moments of the registered users clicking the unreceived orders according to the time sequence, calculating the time difference between the moments of two adjacent registered users clicking the unreceived orders to obtain viewing interval durations, summing all the viewing interval durations, taking the mean value of the viewing interval durations to obtain the viewing mean value of the unreceived orders, and marking the viewing mean value as D1;
s2: total number of views of unreceived orders and order amount are labeled as D2 and D3, respectively; normalizing the checked average value, the checked total times and the order amount and taking the numerical values;
s3: using formulas
Obtaining a physical surveillance value DZ of the unreceived order, wherein b7, b8 and b9 are all preset proportionality coefficients; the MQ1 is the purchase value of the shopping platform to which the non-received order belongs;
s4: when the physical surveillance value of the unreceived order is greater than the set physical surveillance threshold value, the unreceived order is marked as a logistics monitoring order;
s5: the logistics monitoring module collects real-time logistics information of a logistics monitoring order through the Internet of things, when the real-time logistics information is updated, the real-time logistics information and the logistics monitoring order are sent to a server and a mobile phone terminal of a corresponding registered user through the Internet of things, and meanwhile the logistics monitoring module marks the moment of sending the real-time logistics information as a monitoring initial moment; meanwhile, the logistics monitoring module collects the viewing starting time of the registered user viewing the real-time logistics information of the logistics monitoring order through the mobile phone terminal; when the registered user does not check, marking the current moment of the system as a check starting moment, calculating the time difference between the monitoring initial moment and the check starting moment to obtain a monitoring check time length, and when the monitoring check time length is greater than a set check threshold value, marking the monitoring check time length as a delayed check time length;
s6: and summing all the delay check durations of the logistics monitoring orders to obtain a total delay duration, and when the total delay duration is greater than a set total threshold, stopping logistics monitoring of the logistics monitoring orders and deleting the logistics monitoring orders.
The registration login module is used for submitting registration information for registration by a user and sending the registration information with successful registration to the server; the server marks the user successfully registered as a registered user; the registration information comprises a name, a mobile phone number, a name of a shopping platform, a receiving address, an account number and an account password.
The e-commerce recommending module comprises an e-commerce collecting unit, an e-commerce input unit and an e-commerce recommending unit;
the E-commerce collection unit is used for collecting online shop information of the registered user fusion platform and sending the online shop information to the E-commerce recommendation unit, wherein the online shop information comprises the name of the discount commodity, the discount price, the sales volume of the discount commodity and the delivery address;
the E-commerce input unit is used for registering the name and the price of the commodity to be purchased input by the user and sending the name and the price of the commodity to be purchased to the E-commerce recommendation module unit;
the e-commerce recommending unit is used for recommending registered users, and the specific recommending steps are as follows:
SS 1: marking the online shop with the name of the discount commodity consistent with the name of the commodity to be purchased as a primary-selection shop; marking the discount price of the primary shop and the sales volume of the discount commodity as ZK1 and ZK2 respectively;
SS 2: acquiring a delivery address of the folded commodity of the online shop, calculating a distance difference between the delivery address and a receiving address of a registered user to obtain a delivery distance, and marking the delivery distance as ZK 3; marking the price to be purchased input by the registered user as ZK 4; dimension removing is carried out on the discount price, the sales volume of the discount commodity, the delivery distance and the price to be purchased, and the numerical value of the dimension removing is taken;
SS 3: using formulas
Obtaining a recommended value ZH of the primary shop; wherein a1, a2 and a3 are all preset weight values;
SS 4: marking the primary selected shop with the recommendation value larger than a preset recommendation threshold value as a recommended shop; sorting the recommended shops from big to small according to the recommended values and sending the sorted recommended shops to a fusion general platform of the registered user;
the order processing module is used for processing the unreceived order of the registered user and comprises an instruction input unit, a matching analysis unit, an execution unit and a storage unit;
the instruction input unit is used for registering the serial number and the verification instruction of the unreceived order input by the user and sending the serial number and the verification instruction to the matching analysis unit;
the matching analysis unit receives the serial number and the verification instruction of the unreceived order and performs matching analysis on the unreceived order, and specifically comprises the following steps:
v1: acquiring a real-time logistics position and a logistics transportation route of a package corresponding to the unreceived order number, marking the package as a verification package, acquiring the verification package reaching the nearest transfer station, and marking the transfer station as a transfer station;
v2: taking the position of the transfer station as the center of a circle, drawing a circle with a preset radius to obtain a screening range, and marking the acceptance personnel at the screening position as primary selection personnel; calculating the distance difference between the position of the primary selection personnel and the position of the transfer station to obtain a verification distance and marking the verification distance as G1;
v3: acquiring the total verification times of the primary election personnel and marking as G2; carrying out normalization processing on the verification distance and the verification total times and taking the numerical values; obtaining a kiss test value GX of the primary candidate by using a formula GX of 1/G1 × a4+ G2 × a 5; wherein a4 and a5 are both preset proportionality coefficients;
v4: selecting the primary selected person with the largest checking and matching value as the selected person; acquiring the position of the selected person, and marking the position of the selected person as a verification receiving address;
v5: the verified delivery address and the unreceived order number are sent to a computer terminal of the transfer station, the staff of the transfer station sends the verified package corresponding to the unreceived order number to the verified delivery address,
v6: after receiving the verification package, the selected person starts to shoot a video of the package through the mobile phone terminal and sends the video of the verification package to the mobile phone terminal of the registered user;
v7: when a registered user receives the video of the verified package and sends a goods return instruction to the matching analysis unit, the matching analysis unit sends the delivery position of the verified package to a mobile phone terminal of a selected person after receiving the goods return instruction, and the selected person sends the verified package to the delivery position;
v8: when the registered user receives the video of the verified package and sends a receiving instruction to the matching analysis unit, the matching analysis unit sends a forwarding instruction to the mobile phone terminal of the selected person, and the selected person sends the verified package to the receiving address of the registered user;
after the sending is completed, the total verification times of the selected personnel are increased once;
the storage unit is used for storing the name, the identification card number, the mobile phone number and the detection position of the detection personnel.
The order processing module is used for processing the unreceived order of the registered user, so that the registered user can conveniently verify the package corresponding to the order in advance, and accordingly the goods can be returned, and the long time for returning the goods due to the fact that the user verifies the received goods is avoided;
the above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions.
When the system is used, the e-commerce management module is used for carrying out fusion management on a shopping platform of a registered user, acquiring e-commerce information of the registered user, analyzing the e-commerce information to obtain registration time length, total browsing time length, non-login time length, order placement interval mean value, order quantity of purchased commodities and total purchase amount, carrying out normalization processing on the registered time length, the total browsing time length, the non-login time length, the order placement interval mean value, the order quantity of the purchased commodities and the total purchase; acquiring a purchase value of a registered user on a shopping platform by using a formula; when the purchase-dependent value of the shopping platform is greater than or equal to the set purchase-dependent threshold value, marking the shopping platform as a fusion platform of the registered user; when the purchase-dependent value of the fusion platform is smaller than the preset purchase-dependent threshold value, deleting the fusion platform; performing information fusion on all fusion platforms of registered users to obtain a fusion total platform; the e-commerce information of the registered user is analyzed, the purchase-based value of the registered user is obtained by combining the total browsing duration of the user, the data of purchased commodities and the like, and the shopping platforms of the registered user are fused through the purchase-based value, so that the registered user can conveniently check the order information of each shopping platform; the logistics monitoring module carries out logistics monitoring on the orders of the registered users on the fusion platform, acquires all unreceived orders of the registered users in the fusion platform, identifies the order amount of the unreceived orders and the shopping platform to which the orders belong, and carries out normalization processing on the checked average value, the checked total times and the order amount and takes the numerical values of the order amount; obtaining an object monitoring value of the unreceived order by using a formula, and marking the unreceived order as a logistics monitoring order if the object monitoring value of the unreceived order is greater than a set object monitoring threshold value; the logistics monitoring module collects real-time logistics information of the logistics monitoring order through the Internet of things, when the real-time logistics information is updated, the real-time logistics information and the logistics monitoring order are sent to the server and the mobile phone terminals corresponding to registered users through the Internet of things, the logistics monitoring module conducts logistics monitoring, sequencing and pushing on the order of the registered users on the fusion platform, the logistics monitoring module is convenient to push logistics updating data of the order to the registered users reasonably, and the registered users can know logistics data of the order timely.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (3)
1. An e-commerce management system based on the Internet of things is characterized by comprising a data acquisition module, a server, an e-commerce management module and a logistics monitoring module;
the data acquisition module is used for acquiring e-commerce information of a registered user and sending the e-commerce information to the server; the E-commerce information comprises the registration time of the shopping platform, the starting time and the ending time of browsing the shopping platform, the order quantity of purchased commodities, the amount corresponding to the order and the order placing time corresponding to the order;
the e-commerce management module is used for carrying out fusion management on shopping platforms of registered users, and the specific management steps are as follows:
the method comprises the following steps: acquiring E-commerce information of a registered user, calculating the time difference between the registration time of the shopping platform and the current time of the system to acquire the registration time length of the registered user and marking the registration time length as M1; calculating the time difference between the starting time and the ending time of the shopping browsing platform to obtain single browsing time length, summing all the single browsing time lengths to obtain total browsing time length, and marking the total browsing time length as M2; comparing the end time of browsing the shopping platform with the current time of the system, and marking the end time nearest to the current time of the system as the nearest end time; calculating the time difference between the latest finishing time and the current time of the system to obtain the unregistered time length and marking the unregistered time length as M3;
step two: ordering the order placing time of all orders according to the time sequence, then sequentially calculating the order placing interval time difference of the corresponding order placing time of two adjacent orders, summing all the order placing interval time differences, taking the average value to obtain an order placing interval average value, and marking the average value as M4; marking the order quantity of the purchased commodities as M5; summing the corresponding money amounts of all the orders to obtain a total purchase money amount which is marked as M6;
step three: normalizing the registration time length, the total browsing time length, the unregistered time length, the order placing interval mean value, the order quantity of purchased commodities and the total purchasing amount and taking the numerical values of the order quantity and the total purchasing amount;
step four: using formulas
Acquiring a purchase value MQ of a registered user on a shopping platform; b1, b2, b3, b4, b5 and b6 are all preset proportionality coefficients; mu is a correction factor, and the value is 0.75983;
step five: when the purchase-dependent value of the shopping platform is greater than or equal to the set purchase-dependent threshold value, marking the shopping platform as a fusion platform of the registered user;
step six: when the purchase-dependent value of the fusion platform is smaller than the preset purchase-dependent threshold value, deleting the fusion platform; performing information fusion on all fusion platforms of registered users to obtain a fusion total platform;
step seven: a registered user checks commodities, purchases commodities and corresponding orders through a fusion general platform; when the registered user checks the order of purchasing the commodity, counting the moment when the registered user clicks the order of purchasing the commodity; the total number of checking the purchase order is increased once;
the logistics monitoring module is used for performing logistics monitoring on orders of registered users on the fusion platform, and the specific monitoring steps are as follows:
s1: acquiring all unreceived orders registered by a user in the fusion platform, and identifying the order amount of the unreceived orders and the shopping platform to which the unreceived orders belong; counting the time and total checking times of clicks of registered users corresponding to unreceived orders; arranging the moments of the registered users clicking the unreceived orders according to the time sequence, calculating the time difference between the moments of two adjacent registered users clicking the unreceived orders to obtain viewing interval durations, summing all the viewing interval durations, taking the mean value of the viewing interval durations to obtain the viewing mean value of the unreceived orders, and marking the viewing mean value as D1;
s2: total number of views of unreceived orders and order amount are labeled as D2 and D3, respectively; normalizing the checked average value, the checked total times and the order amount and taking the numerical values;
s3: using formulas
Obtaining a physical surveillance value DZ of the unreceived order, wherein b7, b8, b9 and b10 are all preset proportionality coefficients; the MQ1 is the purchase value of the shopping platform to which the non-received order belongs;
s4: when the physical surveillance value of the unreceived order is greater than the set physical surveillance threshold value, the unreceived order is marked as a logistics monitoring order;
s5: the logistics monitoring module collects real-time logistics information of a logistics monitoring order through the Internet of things, when the real-time logistics information is updated, the real-time logistics information and the logistics monitoring order are sent to a server and a mobile phone terminal of a corresponding registered user through the Internet of things, and meanwhile the logistics monitoring module marks the moment of sending the real-time logistics information as a monitoring initial moment; meanwhile, the logistics monitoring module collects the viewing starting time of the registered user viewing the real-time logistics information of the logistics monitoring order through the mobile phone terminal; when the registered user does not check, marking the current moment of the system as a check starting moment, calculating the time difference between the monitoring initial moment and the check starting moment to obtain a monitoring check time length, and when the monitoring check time length is greater than a set check threshold value, marking the monitoring check time length as a delayed check time length;
s6: and summing all the delay check durations of the logistics monitoring orders to obtain a total delay duration, and when the total delay duration is greater than a set total threshold, stopping logistics monitoring of the logistics monitoring orders and deleting the logistics monitoring orders.
2. The internet of things-based e-commerce management system according to claim 1, further comprising a registration login module; the registration login module is used for submitting registration information for registration by a user and sending the registration information with successful registration to the server; the server marks the user successfully registered as a registered user; the registration information comprises a name, a mobile phone number, a name of a shopping platform, a receiving address, an account number and an account password.
3. The internet of things-based e-commerce management system of claim 1, further comprising an e-commerce recommendation module, wherein the e-commerce recommendation module comprises an e-commerce acquisition unit, an e-commerce input unit and an e-commerce recommendation unit;
the E-commerce collection unit is used for collecting online shop information of the registered user fusion platform and sending the online shop information to the E-commerce recommendation unit, wherein the online shop information comprises the name of the discount commodity, the discount price, the sales volume of the discount commodity and the delivery address;
the E-commerce input unit is used for registering the name and the price of the commodity to be purchased input by the user and sending the name and the price of the commodity to be purchased to the E-commerce recommendation module unit;
the e-commerce recommending unit is used for recommending registered users, and the specific recommending steps are as follows:
SS 1: marking the online shop with the name of the discount commodity consistent with the name of the commodity to be purchased as a primary-selection shop; marking the discount price of the primary shop and the sales volume of the discount commodity as ZK1 and ZK2 respectively;
SS 2: obtaining a delivery address of the discount commodity of the online shop, calculating a distance difference between the delivery address and a receiving address of a registered user to obtain a delivery distance, and marking the delivery distance as ZK 3; marking the price to be purchased input by the registered user as ZK 4; dimension removing is carried out on the discount price, the sales volume of the discount commodity, the delivery distance and the price to be purchased, and the numerical value of the dimension removing is taken;
SS 3: using formulas
Obtaining a recommended value ZH of the primary shop; wherein a1, a2 and a3 are all preset weight values;
SS 4: marking the primary selected shop with the recommendation value larger than a preset recommendation threshold value as a recommended shop; and sorting the recommended shops from big to small according to the recommended values and sending the sorted recommended shops to a fusion total platform of the registered users.
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