CN114912987A - Automatic mail notification method and system for order and logistics state of shopping mall - Google Patents

Automatic mail notification method and system for order and logistics state of shopping mall Download PDF

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CN114912987A
CN114912987A CN202210656754.7A CN202210656754A CN114912987A CN 114912987 A CN114912987 A CN 114912987A CN 202210656754 A CN202210656754 A CN 202210656754A CN 114912987 A CN114912987 A CN 114912987A
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CN114912987B (en
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张红玲
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Shenzhen Qianhai Taotuo Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
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    • G06Q10/0833—Tracking

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Abstract

The application relates to a method and a system for automatically notifying a shopping mall order and a logistics state by a mail, which relate to the technical field of order management and solve the problems that a user carelessly pays attention to the logistics state of the order due to factors such as negligence and the like, and the user experience is influenced because the user does not know the logistics state information in advance and is out of the spot when some order type commodities which are more valued by the user are delivered or delivered, and the method comprises the following steps: acquiring the type of the mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order, and analyzing and determining the periodic notification period according to the corresponding relation between the user information and the periodic notification period of the mail of the type of the mall order; and according to the analyzed and determined periodic notification period, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes periodically. The application has the following effects: the user can know the logistics state of the order of the mall better.

Description

Automatic mail notification method and system for order and logistics state of shopping mall
Technical Field
The present application relates to the field of order management technologies, and in particular, to a method and a system for automatic email notification of orders and logistics states in a mall.
Background
At present, with the rapid development of mobile internet and online e-commerce services, more and more users purchase commodities on online e-commerce platforms, and after the users purchase the commodities, merchants can deliver the commodities of corresponding orders.
The existing logistics state notification about the commodity order is mainly acquired by means of inquiry of a user on a relevant platform.
In view of the above-mentioned related art, the inventors found that there are the following drawbacks: the logistics state of the commodity order needs to be inquired on a relevant platform when a user needs to know, which is troublesome, and once the user carelessly pays attention to the logistics state of the order due to factors such as negligence, the logistics state information of the commodity order type which is more valued by the user is not known in advance when the commodity order type is delivered or delivered, so that the commodity order type is not on site, and the user experience is influenced.
Disclosure of Invention
In order to facilitate a user to better know the logistics state of a mall order, the application provides an automatic email notification method and system for the mall order and the logistics state.
In a first aspect, the present application provides a method for automatically notifying a mall order and a logistics status by an email, which adopts the following technical scheme:
an automatic mail notification method for order and logistics state of a mall comprises the following steps:
acquiring the type of a mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order, wherein the user information comprises a user mailbox;
analyzing and determining a periodic notification deadline according to the corresponding relation between the user information and the periodic notification deadline of the mail of the type to which the mall order belongs;
and according to the analyzed and determined periodic notification period, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes periodically.
By adopting the technical scheme, the shopping mall orders and the logistics state information can be periodically sent to the user mailbox through the sending mail according to the periodic notification time limit of the type of the shopping mall orders after the user places the orders, so that the user can conveniently know the logistics state of the shopping mall orders periodically.
Optionally, analyzing to determine the periodic notification deadline includes:
analyzing and acquiring the quantity of orders of the same shopping mall in the same batch corresponding to the same user information;
if the number of the same batch of mall orders is one, analyzing and determining a periodic notification period according to the corresponding relation between the user information and the periodic notification period of the emails of the mall order types, wherein the periodic notification period is used as the periodic notification period of the current application;
if the number of the orders of the same shopping mall exceeds one, judging whether the types of the orders of the shopping mall are consistent;
if so, analyzing and determining the periodic notification period according to the corresponding relation between the user information and the periodic notification period of the e-mail of the order type of the mall, and taking the periodic notification period as the periodic notification period of the application;
otherwise, analyzing and determining the periodic notification period corresponding to the mall order type with the highest importance according to the corresponding relationship between the user information and the periodic notification period of the email of the mall order type and the importance degree of the mall order type, and taking the corresponding periodic notification period as the periodic notification period of the application, wherein the importance degree can be divided into important, important and general according to the importance degree from high to low.
By adopting the technical scheme, the condition that the number of orders in the same shopping mall is more than one is fully considered, the type condition of the orders in the same shopping mall is further considered in the condition, and the periodic notification period of the application is determined according to the importance degree of the order type.
Optionally, analyzing and determining the periodic notification period according to the correspondence between the user information and the periodic notification period of the email of the mall order type includes:
inquiring the regular notification deadline of the mail corresponding to the acquired mall order type according to the corresponding relation between the user information and the regular notification deadline of the mail of the mall order type and the acquired mall order type;
if the query is received, taking the periodical notification period of the queried mail as the analyzed and determined periodical notification period;
and otherwise, predicting and analyzing the periodic notification period of the corresponding user about the acquired mall order type according to the corresponding relationship between the user information and the periodic notification period of the mails of the rest mall order types and the corresponding relationship between the rest user information and the periodic notification period of the mails of the mall order types.
By adopting the technical scheme, the condition that the periodic notification duration cannot be determined according to the corresponding relation between the user information and the periodic notification duration of the e-mail of the mall order type is further considered, and the periodic notification duration of the corresponding user about the acquired mall order type can be predicted by integrating the periodic notification durations of the other users about the e-mail of the mall order type under the condition.
Optionally, the predictive analysis of the periodic notification deadline of the corresponding user with respect to the obtained mall order type includes:
analyzing and determining the periodic notification deadline of other users about other mall order types according to the corresponding relation between the other user information and the periodic notification deadline of the e-mail of the mall order types;
analyzing and determining other user information of which the periodic notification time limit corresponding to the other mall order types of the current user is within a preset time difference range according to the periodic notification time limit of the other user about the other mall order types and the corresponding relation between the user information and the periodic notification time limit of the mails of the other mall order types, and calculating the mean value of the time difference between the periodic notification time limit corresponding to the other mall order types of the corresponding other user and the periodic notification time limit corresponding to the other mall order types of the current user;
analyzing and acquiring the periodic notification deadline of the corresponding other user information about the acquired mall order type according to the analyzed and determined corresponding relationship among the other user information, the other user information and the periodic notification deadline of the email of the mall order type;
and predicting and analyzing the periodic notification period of the corresponding user about the acquired mall order type based on the average value of the time difference between the periodic notification period corresponding to the remaining mall order types of the remaining users and the periodic notification period corresponding to the remaining mall order types of the current user, and the periodic notification period of the corresponding analyzed and acquired user information about the acquired mall order types.
By adopting the technical scheme, the periodic notification time limit of the mails of the rest user information and the mall order type and the periodic notification time limit of the mails of the current user information and the mall order type are fully compared, the rest user information with the periodic notification time limit setting similar to that of the current user is selected, and the periodic notification time limit of the corresponding user about the acquired mall order type is analyzed and determined by applying the periodic notification time limit of the corresponding rest user information about the acquired mall order type.
Optionally, the loading, according to the analyzed and determined periodic notification deadline, the mall order and the logistics state information as notification information in the email sent to the user mailbox includes:
analyzing a time period of the expected delivery to the delivery address preset by the user according to the logistics state information of the order of the mall, the delivery address preset by the user and the time node of receiving the order of the mall according to the history of the corresponding delivery address;
analyzing and calculating the maximum time consumption difference between the time node of the periodic notification and the time period of the delivery to the delivery address preset by the user according to the corresponding relation between the time period of the delivery to the delivery address preset by the user and the periodic notification period of the mails of the user information and the mall order type;
analyzing whether the maximum time consumption difference exceeds a preset maximum time consumption difference or not;
if so, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailbox according to the analyzed and determined periodic notification time limit, and sending the mails with finished delivery to the user mailbox again when the logistics state information of the mall orders is updated to be delivered to the delivery address preset by the user;
otherwise, when the logistics state information of the order in the mall is updated to be delivered to the delivery address preset by the user, the delivered mail is sent to the user mailbox.
By adopting the technical scheme, the situation that the time interval between order delivery and the periodic notification is short when the crop flow state information is notified according to the periodic notification deadline is further considered, at the moment, the user experience is possibly influenced by performing the two times of the logistics state information notifications successively, at the moment, the maximum time consumption difference between the time node of the periodic notification and the time period of delivering the information to the delivery address preset by the user is comprehensively evaluated, so that whether the logistics state information of the order is sent to the user mailbox for notification is decided, and therefore unnecessary interference to the user is reduced.
Optionally, analyzing the time period of the expected delivery to the delivery address preset by the user includes:
analyzing and determining the position of the distribution warehouse according to the corresponding relation between the area position and the position of the distribution warehouse and a distribution address preset by a user;
analyzing and determining the distribution time period of the order of the mall according to the time node of the position where the order of the mall enters the distribution warehouse and the preset storage distribution time period;
acquiring the required delivery order quantity of the delivery time period of the order of the mall;
and predicting the time period of delivery to the delivery address preset by the user according to the time node for receiving the order of the mall in the delivery address history preset by the user and the amount of the order required to be delivered at this time.
By adopting the technical scheme, the position of the delivery warehouse is effectively reversely determined according to the delivery address preset by the user, and the time period of delivery to the delivery address preset by the user is effectively predicted according to the delivery time period of the position of the delivery warehouse, the current required delivery order quantity and the time node of historical receipt of the delivery address preset by the user for the order in the mall.
Optionally, the predicting the time period of delivery to the delivery address preset by the user includes:
acquiring the corresponding relation between a time node of a historical receiving mall order of a user distribution address and the distribution, storage and distribution time period of the corresponding mall order and the corresponding order distribution quantity;
analyzing and acquiring the shortest time consumption and the longest time consumption of delivery to a delivery address preset by a user according to the corresponding relation between the time node of receiving the order of the mall and the delivery storage delivery time period of the corresponding order and the delivery quantity of the corresponding order and the required delivery quantity of the order, and forming the time period of delivery to the delivery address preset by the user.
By adopting the technical scheme, the corresponding relation between the time node for receiving the order form of the mall through the user distribution address history and the distribution storage distribution time period of the order form of the corresponding mall, the corresponding order distribution quantity and the required distribution order quantity at this time are integrated, the shortest time consumption and the longest time consumption for distributing to the distribution address preset by the user are effectively estimated, and the time period for distributing to the distribution address preset by the user is formed.
Optionally, according to the analyzed and determined periodic notification time limit, loading the mall order and the logistics state information as notification information into a mail sent to a user mailbox includes:
acquiring whether a user sets the use priority of a notification mode;
if yes, confirming the notification mode used preferentially based on the use priority of the notification mode set by the user, wherein the notification mode comprises a notification mode of a periodic notification deadline and a notification mode of a logistics transportation node;
based on the confirmed notification mode used preferentially, taking the mall orders and the logistics state information as notification information, and loading the notification information into a mail sent to a user mailbox;
if not, predicting and analyzing the use priority of the notification mode set by the user at this time based on the logistics satisfaction degree conditions of different orders under the notification mode priority set by the user history, wherein the logistics satisfaction degree can be divided into very satisfactory, satisfactory and unsatisfactory from high to low;
and loading the mall orders and the logistics state information as notification information in a mail sent to a user mailbox according to the predicted notification mode which is preferentially used for confirmation.
By adopting the technical scheme, whether the user sets the use priority of the notification mode or not is comprehensively considered, if the user sets the use priority, the notification information is sent according to the notification mode with higher use priority set by the user, and if the user does not set the use priority of the notification mode, the reverse prediction is carried out according to the satisfaction degree of the user per se on the logistics state.
Optionally, the predicting and analyzing the use priority of the notification mode set by the user this time includes:
acquiring logistics satisfaction conditions of different orders under the notification mode priority set by a user history;
and selecting the notification mode corresponding to the highest logistics satisfaction as the notification mode used preferentially by the prediction analysis.
By adopting the technical scheme, the method specifically discloses how to predict reversely according to the satisfaction degree of the user on the logistics state under the condition that the user does not set the use priority of the notification mode.
In a second aspect, the present application provides an automatic email notification system for order and logistics status in a mall, which adopts the following technical solution:
an automatic mail notification system for order and logistics status of a shopping mall comprises:
an acquisition module to: acquiring the type of a mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order, wherein the user information comprises a user mailbox;
an analysis module to: analyzing and determining a periodic notification deadline according to the corresponding relation between the user information and the periodic notification deadline of the mail of the type to which the mall order belongs;
an execution module to: and according to the analyzed and determined periodic notification period, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes periodically.
By adopting the technical scheme, after the acquisition module acquires the type of the mall order and the user information corresponding to the mall order, the periodic notification time limit is determined according to the analysis module, and finally the execution module makes a mail according to the periodic notification time limit to periodically send the logistics state information for notifying the user of the related order.
To sum up, the beneficial technical effect of this application does:
1. the system is convenient for users to know the logistics state of the shopping mall orders in time, and can integrate, unify and periodically notify part of shopping mall orders in the same batch, so that the users can know the logistics state information of the shopping mall orders better.
2. When the order distribution completion time of the mall is close to the regular notification time, the flexible selection and the flexible selection can be realized, and unnecessary logistics state information notification is reduced.
Drawings
Fig. 1 is a flowchart illustrating an automatic email notification method for shopping mall orders and logistics status according to an embodiment of the present application.
FIG. 2 is a schematic flow chart illustrating analysis of the periodic notification deadline according to another embodiment of the present application.
Fig. 3 is a schematic flowchart of analyzing and determining the periodic notification period according to the correspondence between the user information and the periodic notification period of the email of the mall order type according to another embodiment of the present application.
Fig. 4 is a flowchart illustrating a predictive analysis of periodic notification deadlines for respective users regarding acquired mall order types according to another embodiment of the present application.
Fig. 5 is a schematic flowchart of a process of periodically loading mall orders and logistics status information as notification information in an email sent to a user mailbox according to the analyzed and determined periodic notification deadline according to another embodiment of the present application.
Fig. 6 is a flowchart illustrating a process of analyzing a time period for a scheduled delivery to a delivery address preset by a user according to another embodiment of the present application.
FIG. 7 is a flowchart illustrating the embodiment of FIG. 6 for predicting the time period to deliver to the delivery address preset by the user.
Fig. 8 is a schematic flowchart of a process of loading mall order and logistics status information as notification information in a mail sent to a user mailbox according to a determined periodical notification deadline.
Fig. 9 is a flowchart illustrating the operation of predicting and analyzing the usage priority of the user setting the notification mode this time in the embodiment shown in fig. 8.
Fig. 10 is a system block diagram of an automatic mail notification system for shopping mall order and logistics status according to an embodiment of the present application.
In the figure, 1, an acquisition module; 2. an analysis module; 3. and executing the module.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
Referring to fig. 1, an automatic mail notification method for a mall order and a logistics state disclosed in the present application includes:
step S100, obtaining the type of the mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order.
The shopping mall order is ordering information of a user, the ordering information can include customer information, product attribute information, product quantity information, product type information and ordering time information, the type of the shopping mall order can be divided according to the size interval of the product packaging volume, and can be divided into ultra-large, medium and small products, the volume of the ultra-large product exceeds 20 cubes, the volume of the large product exceeds 10 cubes and is less than 20 cubes, the volume of the medium product is less than 10 cubes and is greater than 1 cube, and the volume of the small product is less than 1 cube; the user information corresponding to the order of the mall comprises a user mailbox; the type of the order of the mall can be obtained according to a preset volume interval in which the volume of the product falls; the user information corresponding to the shopping mall orders comprises user mailboxes.
The logistics state information of the order in the mall can be set as that delivery is not picked up, pickup is not transferred, transfer is not sent, delivery is not signed and is signed, according to the set logistics state, when the real-time logistics track information is obtained, the real-time logistics state can be automatically identified according to the real-time logistics track information and is compared with the last updated logistics state of the order to be monitored, and if the logistics states are consistent, the logistics state is not updated; if the logistics state is inconsistent, the logistics state is updated.
Additionally, the acquisition of the logistics state information of the corresponding mall orders can be realized by extracting keywords in the real-time logistics track, matching the keywords with a set logistics state vocabulary, and automatically identifying the logistics state according to the matching result.
And step S200, analyzing and determining the periodic notification period according to the corresponding relation between the user information and the periodic notification period of the mail of the type to which the order of the mall belongs.
The corresponding relation between the user information and the periodic notification period of the mail of the type to which the mall order belongs can be obtained from a database in which the corresponding relation between the user information and the periodic notification period of the mail of the type to which the mall order belongs is stored; the analysis of the periodic notification period determines that the periodic notification period can be determined by: and taking the user information and the type of the mall order as query objects, and querying and acquiring the query objects from a database storing the corresponding relation between the user information and the periodic notification period of the mail of the type of the mall order.
And step S300, loading the order and the logistics state information of the mall as notification information in a mail sent to a user mailbox at regular intervals according to the analyzed and determined regular notification time limit.
Here, the mail refers to a file processed by a delivery method.
The implementation principle of the embodiment is as follows:
after the user places an order, the periodic notification period is determined according to the type of the product corresponding to the corresponding order, and an email is sent according to the periodic notification period to notify the user of the logistics state information of the product.
In step S200 of fig. 1, further considering that the user places a plurality of orders simultaneously, and some orders are not of the same type, the periodic notification period needs to be re-analyzed and determined according to the importance degree of the order type, so that the periodic notification period needs to be further analyzed and determined, which is specifically described in detail by the embodiment shown in fig. 2.
Referring to fig. 2, the analyzing to determine the periodic notification period includes:
step S210, analyzing and obtaining the number of orders of the same shopping mall in the same batch corresponding to the same user information.
Step S220, if the number of the same batch of mall orders is one, analyzing and determining the periodic notification period according to the corresponding relationship between the user information and the periodic notification period of the email of the mall order type, and using the periodic notification period as the periodic notification period of the current application.
In step S230, if the number of orders in the same shopping mall exceeds one, it is determined whether the types of the shopping mall orders are consistent. If yes, go to step S240; otherwise, step S350 is executed.
The method for judging whether the types of the shopping mall orders belong to the same can be realized by the following steps: firstly, analyzing and acquiring the types of all the mall orders of the same batch, and then judging whether all the mall orders are of the same type according to the acquired types of all the mall orders of the same batch.
Step S240, analyzing and determining the periodic notification period according to the corresponding relationship between the user information and the periodic notification period of the email of the mall order type, and using the periodic notification period as the periodic notification period of the current application.
Step S250, analyzing and determining the periodic notification period corresponding to the mall order type with the highest importance according to the corresponding relation between the user information and the periodic notification period of the mails of the mall order types and the importance degree of the mall order types, and taking the corresponding periodic notification period as the periodic notification period of the application, wherein the importance degree can be divided into important, important and general according to the importance degree from high to low.
The importance degree of the type of the order in the mall can be related to the type of the product, the size and the importance degree of the order in the mall can be related on the basis that the type of the order in the mall is divided into ultra-large, medium and small according to the size and the size of the product packaging, ultra-large and large correspondence is very important, medium correspondence is important, and small correspondence is general.
The implementation principle of the embodiment is as follows:
when the types of the same batch of mall orders belong to a lot, the regular notification period corresponding to the product type with the highest importance degree is determined according to the importance degree and is used as the notification period of the mall orders of the batch.
In step S200 of fig. 1 or step S220 of fig. 2, it is further considered that the periodic notification period cannot be found according to the correspondence between the user information and the periodic notification period of the email of the mall order type, and therefore, the periodic notification period needs to be further analyzed and determined, which is specifically described with reference to the embodiment shown in fig. 3.
Referring to fig. 3, analyzing and determining the periodic notification period according to the correspondence between the user information and the periodic notification period of the email of the mall order type includes:
step Sa00, according to the correspondence between the user information and the periodic notification period of the email of the mall order type and the acquired mall order type, queries the periodic notification period of the email corresponding to the acquired mall order type.
In step Sb00, if the query is made, the term of periodic notification of the queried mail is used as the analyzed term of periodic notification.
Step Sc00, otherwise, predicting and analyzing the periodic notification period of the corresponding user with respect to the obtained mall order type according to the corresponding relationship between the user information and the periodic notification period of the emails of the remaining mall order types and the corresponding relationship between the remaining user information and the periodic notification period of the emails of the mall order types.
The corresponding relation between the user information and the periodic notification period of the mails of the other mall order types can be obtained by inquiring from a preset database in which the corresponding relation between the user information and the periodic notification period of the mails of the other mall order types is stored, and the corresponding relation between the other user information and the periodic notification period of the mails of the mall order types can be obtained by inquiring from the preset database in which the corresponding relation between the other user information and the periodic notification period of the mails of the mall order types is stored.
The implementation principle of the embodiment is as follows:
in the case that the acquisition of the periodic notification deadline cannot be queried through the corresponding relationship between the user information and the periodic notification deadline of the email of the mall order type, the periodic notification deadline of the corresponding user with respect to the acquired mall order type is predicted and analyzed by taking the corresponding relationship between the periodic notification deadline of the remaining users with respect to the email of the mall order type as a reference.
In step Sc00 of fig. 3, it is further considered how to better predict and analyze the periodic notification deadline of the corresponding user with respect to the obtained mall order type according to the corresponding relationship between the periodic notification deadlines of the mails of the mall order types of the remaining users, so that a further predictive analysis needs to be performed on the periodic notification deadline of the corresponding user with respect to the obtained mall order type, which is described in detail with reference to the embodiment shown in fig. 4.
Referring to fig. 4, the predictive analysis of the periodic notification deadline for the corresponding user with respect to the acquired mall order type includes:
and step Sc10, analyzing and determining the periodic notification period of the rest users about the rest mall order types according to the corresponding relation between the rest user information and the periodic notification period of the emails of the mall order types.
The analysis and determination of the periodic notification period of the order types of other user and other shopping malls adopts the following mode: and taking the other users and the other mall order types as common query objects, and querying and acquiring the periodic notification time limit of the other users about the other mall order types from a preset database in which the corresponding relation between the information of the other users and the periodic notification time limit of the mails of the mall order types is stored.
Step Sc20, according to the periodic notification time limits of the remaining users regarding the remaining mall order types and the corresponding relationship between the user information and the periodic notification time limits of the mails of the remaining mall order types, analyzing and determining the remaining user information that the periodic notification time limits corresponding to the remaining mall order types of the current user are all within the preset time difference range, and calculating the average value of the time differences between the periodic notification time limits corresponding to the remaining mall order types of the corresponding remaining users and the periodic notification time limits corresponding to the remaining mall order types of the current user.
The preset time difference range can be half an hour or 1 hour, and can also be set according to the actual needs of a user; the analysis and determination of the rest user information of which the periodic notification time limit corresponding to the rest mall order types of the current user is within the preset time difference range are carried out in the following way: firstly, analyzing the periodic notification time limit corresponding to the order types of other shopping malls of all other users; then screening out user information corresponding to the mall order types meeting the requirements according to the condition that the periodic notification time limit corresponding to the other mall order types of other users is within the preset time difference range; and finally summarizing all user information meeting the requirements.
And step Sc30, analyzing and acquiring the periodic notification deadline of the corresponding other user information about the acquired mall order type according to the analyzed and determined corresponding relationship among the other user information, the other user information and the periodic notification deadline of the email of the mall order type.
The analysis and acquisition of the periodic notification deadline of the obtained mall order type corresponding to other user information adopts the following mode: and taking the analyzed and determined other user information as a query object, and querying a preset database storing the corresponding relation between the other user information and the periodic notification period of the mails of the mall order types to acquire the periodic notification period of the corresponding other user information about the acquired mall order types.
And step Sc40, predicting, analyzing and acquiring the periodic notification period of the corresponding user about the acquired mall order type based on the average value of the time difference between the periodic notification period corresponding to the remaining mall order type of the remaining user and the periodic notification period corresponding to the remaining mall order type of the current user, and the periodic notification period of the corresponding analyzed and acquired user information about the acquired mall order type.
The corresponding user's predictive analysis of the periodic notification period of the obtained mall order type is as follows: the average value of the time difference between the periodic notification time limit corresponding to the rest user about the rest mall order types and the sum of the periodic notification time limit of the analyzed and obtained corresponding rest user information about the obtained mall order types,
and (4) as a period of regular notification of the corresponding user of the prediction analysis about the type of the acquired mall order.
The implementation principle of the embodiment is as follows:
and analyzing and determining the difference between the periodic notification period corresponding to the current user about the other mall order types and other people according to the periodic notification period corresponding to the other user about the other mall order types and the periodic notification period corresponding to the current user about the other mall order types, and applying the corresponding difference to the periodic notification period corresponding to the obtained mall order types of the corresponding users, so as to predict and analyze the periodic notification period corresponding to the obtained mall order types of the corresponding users.
In step S300 of fig. 1, in order to reduce interference caused by continuous notification to the user when the time node for periodically sending the email notification to the user is short from the last delivery completion time, further analysis and determination need to be performed on the email that is periodically loaded in the mailbox of the user and takes the mall order and the logistics status information as notification information, which is specifically described with reference to the embodiment shown in fig. 5.
Referring to fig. 5, the loading of the mall order and the logistics state information as notification information in the mail sent to the user mailbox according to the analyzed and determined periodic notification deadline includes:
step S310, analyzing the time period of the expected delivery to the delivery address preset by the user according to the logistics state information of the order of the mall, the delivery address preset by the user and the time node of the historical receiving of the order of the mall corresponding to the delivery address.
The delivery address preset by the user can be a user default delivery address or an address formed by adjusting the default address based on the user requirement; the time node of the corresponding delivery address history receiving mall order can be obtained by inquiring a preset database in which the time node of the corresponding delivery address history receiving mall order is stored; analyzing the time period of the expected delivery to the delivery address preset by the user can determine two time nodes with the largest time difference according to the time nodes of the corresponding delivery address historical receiving the order of the mall, and the two time nodes are used as the time period of the expected delivery to the delivery address preset by the user.
Step S320, according to the corresponding relationship between the time period expected to be delivered to the delivery address preset by the user and the periodic notification time limit of the email of the mall order type, analyzing and calculating the maximum time difference between the time node of the periodic notification and the time period delivered to the delivery address preset by the user.
The analysis and calculation of the maximum time difference between the time node regularly notified at this time and the time period of delivery to the delivery address preset by the user can be performed in the following manner: and determining a specific notification time node according to the corresponding relation between the user information and the regular notification time limit of the e-mail of the order type of the mall and the order placing time of the order, then determining the maximum time difference between the specific notification time node and the time period which is expected to be delivered to the delivery address preset by the user, and taking the corresponding maximum time difference as the maximum time difference between the current regular notification time node and the time period which is expected to be delivered to the delivery address preset by the user.
Step S330, analyzing whether the maximum time consuming difference exceeds a preset maximum time consuming difference. If yes, go to step S340; otherwise, step S350 is executed.
The preset maximum time consumption difference can be half an hour or 1 hour, and can also be time consumption difference set by other users according to needs.
Step S340, according to the analyzed and determined periodic notification period, loading the mall order and the logistics status information as notification information in the mail sent to the user mailbox, and sending the mail with completed delivery to the user mailbox again when the logistics status information of the mall order is updated to be delivered to the delivery address preset by the user.
Step S350, when the logistics state information of the mall order is updated to be delivered to the delivery address preset by the user, sending the delivered mail to the user mailbox.
The implementation principle of the embodiment is as follows:
the time interval between the time node for regularly sending the mails to notify the users and the last delivery completion time is effectively analyzed and calculated, when the time interval is short, only delivery completion information is notified, otherwise, the original mode of regularly sending the mails to the user mailboxes is maintained.
In step S310 of fig. 5, considering that the accuracy of analyzing the time period of the estimated delivery to the delivery address preset by the user is affected even when the order amount varies due to a difference in the order amount during the analysis of the time period of the estimated delivery to the delivery address preset by the user, the analysis and the determination of the time period of the estimated delivery to the delivery address preset by the user need to be further improved, and the embodiment shown in fig. 6 is described in detail.
Referring to fig. 6, analyzing a period of time for which delivery to a delivery address preset by a user is expected includes:
step S311, analyzing and determining the location of the distribution warehouse according to the corresponding relationship between the area location and the location of the distribution warehouse and a distribution address preset by the user.
The corresponding relation between the area position and the position of the distribution warehouse can be obtained by inquiring a preset database in which the corresponding relation between the area position and the position of the distribution warehouse is stored, and the analysis and the determination of the corresponding relation between the area position and the position of the distribution warehouse can adopt the following mode: analyzing the region position where the delivery address preset by the user falls, taking the region position determined by the analysis of the reward and penalty as an inquiry object, and inquiring and acquiring the position of the delivery warehouse from a preset database storing the corresponding relation between the region position and the position of the delivery warehouse.
Step S312, analyzing and determining a distribution time period of the mall orders according to the time node of the location where the mall orders are stored in the distribution warehouse and the preset warehousing distribution time period.
The preset storage and delivery time period can be obtained from a preset database in which the storage and delivery time period is stored, and the delivery time period of the shopping mall orders is analyzed and determined as follows: and determining the distribution time period of the order in the mall according to the time node of the position where the order in the mall enters the distribution warehouse and the preset storage distribution time period.
Step S313, obtains the required delivery order amount of the delivery time period of the mall order.
The required delivery order quantity of the delivery time period of the order of the mall can be obtained by real-time inquiry from the system.
Step S314, predicting a time period of delivery to the delivery address preset by the user according to the time node of receiving the order of the mall in the delivery address history preset by the user and the amount of the order required to be delivered this time.
Referring to fig. 7, step S314 is described in detail as follows:
step S314.1, acquiring the corresponding relation between the time node of the user delivery address history receiving the order of the mall, the delivery storage delivery time period of the corresponding order of the mall and the delivery quantity of the corresponding order.
Step S314.2, analyzing and obtaining the shortest time consumption and the longest time consumption of the delivery to the delivery address preset by the user according to the corresponding relationship between the time node of the user delivery address history receiving the mall order and the delivery warehouse delivery time period of the corresponding mall order and the corresponding order delivery amount, and the required delivery order amount, and forming the time period of the delivery to the delivery address preset by the user.
The shortest time consumption and the longest time consumption for delivering to the delivery address preset by the user can be obtained by the following method: time nodes for receiving the order of the mall according to the distribution address history preset by the user and the actual distribution time nodes can be analyzed and calculated to calculate the time consumption and the total order quantity of each distribution, so that the distribution speed of each distribution is calculated; and finally, calculating the time period of delivery to a delivery address preset by a user by combining the original delivery time period, the shortest time consumption and the longest time consumption.
For example, the shortest time is 2 hours, the longest time is 3 hours, and the original delivery time period is 11 hours, then the time period for delivering to the delivery address preset by the user is [13, 14 ].
The implementation principle of the embodiment is as follows:
the dispatching speed can be effectively calculated according to the time node of receiving the order of the mall in the dispatching address history preset by the user, and the time period of dispatching to the dispatching address preset by the user is calculated according to the quantity of the order dispatched at this time.
In step S300 of fig. 1, it is further considered that the user has a setting for the priority of the notification mode according to the individual, and the notification mode is also different, so that it is necessary to load the mall order and the physical distribution status information as the notification information into the mail sent to the user mailbox for further analysis of the periodic notification period determined by the analysis, and the detailed description will be made with reference to the embodiment shown in fig. 8.
Referring to fig. 8, loading the mall orders and the logistics state information as notification information in the mail sent to the user mailbox according to the analyzed and determined periodic notification deadline includes:
step S3a0, it is acquired whether the user sets the use priority of the notification mode. If yes, go to step S3B 0; otherwise, step S3D0 is executed.
The manner of setting the usage priority of the notification mode by the user may be determined by setting a default notification mode, or may adopt other manners.
And step S3B0, confirming the notification mode with priority use based on the use priority of the notification mode set by the user, wherein the notification mode comprises a notification mode of a periodic notification deadline and a notification mode of the logistics transportation node.
And step S3C0, loading the mall order and the logistics state information as notification information in a mail sent to a user mailbox based on the confirmed notification mode used preferentially.
And step S3D0, predicting and analyzing the use priority of the notification mode set by the user at this time based on the logistics satisfaction conditions of different orders under the notification mode priority set by the user history.
Referring to fig. 9, step S3D0 is described in detail as follows:
and step S3D1, acquiring the logistics satisfaction conditions of different orders under the notification mode priority set by the user history.
The logistics satisfaction conditions of different orders under the notification mode priority set by the user history can be obtained by inquiring from a preset database in which the logistics satisfaction conditions of different orders under the notification mode priority set by the user history are stored.
And step S3D2, selecting the notification mode corresponding to the highest logistics satisfaction as the notification mode used preferentially for the prediction analysis.
Wherein, the stream satisfaction can be divided into very satisfactory, satisfactory and unsatisfactory from high to low.
And step S3E0, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes according to the predicted notification mode for confirming the prior use.
The implementation principle of the embodiment is as follows:
and when the notification mode is not set, the notification mode which is inclined by the user is comprehensively analyzed and judged according to the satisfaction degree of the user history.
Referring to fig. 10, an embodiment of the present application further provides an automatic email notification system for a mall order and a logistics status, including:
an obtaining module 1, configured to: acquiring the type of a mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order, wherein the user information comprises a user mailbox;
an analysis module 2 for: analyzing and determining a periodic notification deadline according to the corresponding relation between the user information and the periodic notification deadline of the mail of the type to which the mall order belongs;
an execution module 3, configured to: and according to the analyzed and determined periodic notification period, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes periodically.
The embodiments of the present invention are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.

Claims (10)

1. An automatic mail notification method for order and logistics state of a mall is characterized by comprising the following steps:
acquiring the type of a mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order, wherein the user information comprises a user mailbox;
analyzing and determining a periodic notification deadline according to a corresponding relation between the user information and the periodic notification deadline of the mail of the type of the shopping mall order;
and according to the analyzed and determined periodic notification period, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes periodically.
2. The method as claimed in claim 1, wherein analyzing and determining the periodic notification period comprises:
analyzing and acquiring the number of orders of the same shopping mall in the same batch corresponding to the same user information;
if the number of the same batch of mall orders is one, analyzing and determining a periodic notification period according to the corresponding relation between the user information and the periodic notification period of the mails of the mall order types, wherein the periodic notification period is used as the periodic notification period of the current application;
if the number of the orders of the same shopping mall exceeds one, judging whether the types of the orders of the shopping mall are consistent;
if so, analyzing and determining the periodic notification period according to the corresponding relation between the user information and the periodic notification period of the e-mail of the order type of the mall, and taking the periodic notification period as the periodic notification period of the application;
otherwise, analyzing and determining the periodic notification period corresponding to the mall order type with the highest importance according to the corresponding relationship between the user information and the periodic notification period of the email of the mall order type and the importance degree of the mall order type, and taking the corresponding periodic notification period as the periodic notification period of the application, wherein the importance degree can be divided into important, important and general according to the importance degree from high to low.
3. The method as claimed in claim 1 or 2, wherein analyzing and determining the periodic notification period according to the correspondence between the user information and the periodic notification period of the email of the mall order type comprises:
inquiring the regular notification deadline of the mail corresponding to the acquired mall order type according to the corresponding relation between the user information and the regular notification deadline of the mail of the mall order type and the acquired mall order type;
if the query is received, taking the periodical notification period of the queried mail as the analyzed and determined periodical notification period;
and otherwise, predicting and analyzing the periodic notification period of the corresponding user about the acquired mall order type according to the corresponding relationship between the user information and the periodic notification period of the mails of the rest mall order types and the corresponding relationship between the rest user information and the periodic notification period of the mails of the mall order types.
4. The method as claimed in claim 3, wherein the predictive analysis of periodic notification duration of the type of the obtained mall orders by the corresponding users comprises:
analyzing and determining the periodic notification deadline of other users about other mall order types according to the corresponding relation between the other user information and the periodic notification deadline of the e-mail of the mall order types;
analyzing and determining other user information of which the periodic notification time limit corresponding to the other mall order types of the current user is within a preset time difference range according to the periodic notification time limit of the other user about the other mall order types and the corresponding relation between the user information and the periodic notification time limit of the mails of the other mall order types, and calculating the mean value of the time difference between the periodic notification time limit corresponding to the other mall order types of the corresponding other user and the periodic notification time limit corresponding to the other mall order types of the current user;
analyzing and acquiring the periodic notification deadline of the acquired mall order type corresponding to the other user information according to the analyzed and determined corresponding relationship among the other user information, the other user information and the periodic notification deadline of the email of the mall order type;
and predicting and analyzing the periodic notification period of the corresponding user about the acquired mall order type based on the average value of the time difference between the periodic notification period corresponding to the remaining mall order types of the remaining users and the periodic notification period corresponding to the remaining mall order types of the current user, and the periodic notification period of the corresponding analyzed and acquired user information about the acquired mall order types.
5. The method as claimed in any one of claims 1 to 4, wherein the loading of the mall order and the logistics status information as the notification information into the mail sent to the user mailbox periodically according to the analyzed and determined periodic notification period comprises:
analyzing a time period of the expected delivery to the delivery address preset by the user according to the logistics state information of the order of the mall, the delivery address preset by the user and the time node of receiving the order of the mall according to the history of the corresponding delivery address;
analyzing and calculating the maximum time consumption difference between the time node of the periodic notification and the time period of the delivery to the delivery address preset by the user according to the corresponding relation between the time period of the scheduled delivery to the delivery address preset by the user and the periodic notification time limit of the mails of the user information and the mall order type;
analyzing whether the maximum time consumption difference exceeds a preset maximum time consumption difference or not;
if so, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailbox according to the analyzed and determined periodic notification time limit, and sending the mails with finished delivery to the user mailbox again when the logistics state information of the mall orders is updated to be delivered to the delivery address preset by the user;
otherwise, when the logistics state information of the order in the mall is updated to be delivered to the delivery address preset by the user, the delivered mail is sent to the user mailbox.
6. The method as claimed in claim 5, wherein analyzing the time period of the expected delivery to the delivery address preset by the user comprises:
analyzing and determining the position of the distribution warehouse according to the corresponding relation between the area position and the position of the distribution warehouse and a distribution address preset by a user;
analyzing and determining the distribution time period of the order of the mall according to the time node of the position where the order of the mall enters the distribution warehouse and the preset storage distribution time period;
acquiring the required delivery order quantity of the delivery time period of the order of the mall;
and predicting the time period of delivery to the delivery address preset by the user according to the time node for receiving the order of the mall in the delivery address history preset by the user and the amount of the order required to be delivered at this time.
7. The method as claimed in claim 6, wherein predicting the time period for delivering to the delivery address preset by the user comprises:
acquiring the corresponding relation between a time node of a historical receiving mall order of a user distribution address and the distribution, storage and distribution time period of the corresponding mall order and the corresponding order distribution quantity;
analyzing and acquiring the shortest time consumption and the longest time consumption of delivery to a delivery address preset by a user according to the corresponding relation between the time node of receiving the order of the mall and the delivery storage delivery time period of the corresponding order and the delivery quantity of the corresponding order and the required delivery quantity of the order, and forming the time period of delivery to the delivery address preset by the user.
8. The method as claimed in claims 1 to 4, wherein the loading of the mall order and the logistics status information into the mail sent to the user mailbox by using the mall order and the logistics status information as the notification information according to the analyzed and determined periodic notification period comprises:
acquiring whether a user sets the use priority of a notification mode;
if so, confirming the notification mode used preferentially based on the use priority of the notification mode set by the user, wherein the notification mode comprises a notification mode of a periodic notification deadline and a notification mode of a logistics transportation node;
based on the confirmed notification mode used preferentially, taking the mall orders and the logistics state information as notification information, and loading the notification information into a mail sent to a user mailbox;
if not, predicting and analyzing the use priority of the notification mode set by the user at this time based on the logistics satisfaction conditions of different orders under the notification mode priority set by the user history, wherein the logistics satisfaction can be divided into very satisfactory, satisfactory and unsatisfactory from high to low;
and loading the mall orders and the logistics state information as notification information in a mail sent to a user mailbox according to the predicted notification mode which is preferentially used for confirmation.
9. The method as claimed in claim 8, wherein the predicting and analyzing the user's priority for setting the notification mode comprises:
acquiring logistics satisfaction conditions of different orders under the notification mode priority set by a user history;
and selecting the notification mode corresponding to the highest logistics satisfaction as the notification mode used preferentially by the prediction analysis.
10. An automatic mail notification system for order and logistics status of a shopping mall, comprising:
an acquisition module (1) for: acquiring the type of a mall order, user information corresponding to the mall order and logistics state information of the corresponding mall order, wherein the user information comprises a user mailbox;
an analysis module (2) for: analyzing and determining a periodic notification deadline according to the corresponding relation between the user information and the periodic notification deadline of the mail of the type to which the mall order belongs;
an execution module (3) for: and according to the analyzed and determined periodic notification period, loading the mall orders and the logistics state information as notification information in the mails sent to the user mailboxes periodically.
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