CN114565397A - Intelligent monitoring and real-time reminding method - Google Patents
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Abstract
The invention discloses a method for intelligent monitoring and real-time reminding, and relates to the technical field of operation monitoring; the method is applied to a monitoring trigger terminal, a consumption MQ calculation terminal and a message sending terminal, and comprises the following steps: s10, the monitoring trigger end monitors data, and the monitored data comprise sales volume indexes, price indexes, picture/title indexes, Buybox indexes, on-sale state indexes, FBA library age inventory indexes and star comment indexes; s20, monitoring the sales volume index; s30, monitoring the price index; s40, monitoring the picture/title index; s50, monitoring the Buybox index; s60, monitoring the on-sale state index; s70, monitoring the inventory index of FBA library age; s80, monitoring star comment indexes; the beneficial effects of the invention are: the whole process of operation monitoring is realized on line, and the time spent by product operators in monitoring and processing product problems is reduced.
Description
Technical Field
The invention relates to the technical field of operation monitoring, in particular to an intelligent monitoring and real-time reminding method.
Background
Amazon operators monitor product information daily, and inform relevant personnel of adjustment from observation indexes- > whether the data indexes are abnormal- > collecting abnormal records- > through observation indexes- > analysis indexes, and a large amount of labor and time are consumed in the process.
However, even if a lot of manpower and time are spent, some specific abnormal indexes cannot be monitored in time, and large direct and indirect losses are generated. For example: forgetting to close the original promotional campaign, the kill of seconds is superimposed with the Coupons resulting in a negative profit on the order, or the promotional campaign is out of date, not replaced with a new promotional campaign, resulting in a drop in sales, etc.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an intelligent monitoring and real-time reminding method, which realizes the online operation and monitoring of the whole process and reduces the time spent by product operators on monitoring and processing product problems.
The technical scheme adopted by the invention for solving the technical problems is as follows: the improvement of the method is that the method is applied to a monitoring trigger terminal, a consumption MQ calculating terminal and a message sending terminal, and the method comprises the following steps:
s10, the monitoring trigger end monitors data, and the monitored data comprise sales volume indexes, price indexes, picture/title indexes, Buybox indexes, on-sale state indexes, FBA library age inventory indexes and star comment indexes;
s20, monitoring the sales indicators, opening Listing lists for monitoring the sales indicators, and carrying out batch processing once every 50 Listing lists; skipping when the alarm Listing of the sales indicator is detected, simultaneously filtering out the Listing which does not meet the condition, and screening out the Listing which meets the monitoring indicator;
s30, monitoring price indexes including selling prices, lightning special prices and latest order transaction average prices, screening Listing lists with opened monitoring indexes, performing batch processing, wherein the monitoring trigger end pushes a message to a consumption MQ calculation end once every 50 Listing processing; filtering out Listing which does not meet the conditions, and screening out Listing which meets the monitoring indexes;
s40, monitoring the picture/title index, when the picture/title index is changed and synchronized and the platform warning is abnormal, screening Listing with the monitoring index started, carrying out batch processing, and pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processing times;
s50, monitoring the Buybox indexes, synchronizing the Buybox indexes from the acquisition service, screening Listing with the started monitoring indexes when the comparison is changed, carrying out batch processing, and pushing a message to a consumption MQ calculation end by the monitoring trigger end every 50 Listing processes;
s60, monitoring the on-sale state index, detecting the on-sale state index, screening the Listing with the opened monitoring index when no FBA can sell stock or off-shelf, carrying out batch processing, pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processing, and skipping when the Listing is detected to be alarmed by the corresponding index item;
s70, monitoring the FBA library age inventory index, screening Listing with the started monitoring index when the FBA library age inventory index is increased, carrying out batch processing, and pushing a message to a consumption MQ computing end by the monitoring triggering end every 50 Listing processing;
and S80, monitoring the star comment indexes, when the star comment indexes are changed, screening Listing with the started monitoring indexes, performing batch processing, wherein every 50 Listing processes are performed, and the monitoring trigger terminal pushes a message to the consumption MQ computing terminal.
Further, in step S20, when monitoring the sales volume index, a timed loading trigger mode is adopted, where the timed loading trigger mode is: and regularly loading Listing information of the opened corresponding index items to the consumption MQ computing end through task scheduling.
Further, in steps S30-S80, a data synchronization triggering method is adopted, where the data synchronization triggering method is: adding 'buried point judgment' in the synchronous service, and only starting Listing of the corresponding index items to make judgment;
wherein, the 'buried point judgment' is as follows: and monitoring the change of the service index data according to the set index conditions.
Further, steps S20-S80 each include the following steps:
and generating an alarm message, storing the generated alarm message into an alarm message record table, and pushing the generated alarm message to a consumption MQ computing terminal.
Further, in steps S20-S80, the alarm messages of the same salesperson are assembled into one message.
Further, each of the steps S20-S80 is followed by the following steps:
and the consumption MQ computing terminal pushes the message to the mobile terminal according to the user configuration condition.
Further, the mobile terminal comprises a WeChat and/or a nail, and the sending state of the push message is stored in an alarm message record table.
The invention has the beneficial effects that: the intelligent monitoring and real-time reminding method provided by the invention realizes the online operation and monitoring of the whole process, improves the capacity of exploring abnormal information, makes specific monitoring indexes, monitors timely and effectively, reduces the time spent by product operators in monitoring and processing product problems, and is expected to be reduced by 30%.
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Fig. 1 is a diagram of an embodiment of a method for intelligent monitoring and real-time reminding according to the present invention.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the drawings.
The conception, the specific structure, and the technical effects produced by the present invention will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the features, and the effects of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and those skilled in the art can obtain other embodiments without inventive effort based on the embodiments of the present invention, and all embodiments are within the protection scope of the present invention. In addition, all the connection/connection relations referred to in the patent do not mean that the components are directly connected, but mean that a better connection structure can be formed by adding or reducing connection auxiliary components according to specific implementation conditions. All technical characteristics in the invention can be interactively combined on the premise of not conflicting with each other.
Referring to fig. 1, the present invention discloses an intelligent monitoring and real-time reminding method, which is applied to a monitoring trigger terminal 10, a consumption MQ calculation terminal 20 and a message sending terminal 30, and it should be noted that the monitoring trigger terminal 10 implements monitoring of multiple items of data, the monitoring of the multiple items of data is synchronous, and in this embodiment, the step sequence does not represent the time sequence. In this embodiment, the method comprises the steps of:
s10, the monitoring trigger terminal 10 monitors data, and the monitored data comprise sales volume indexes, price indexes, picture/title indexes, Buybox indexes, on-sale state indexes, FBA library age inventory indexes and star comment indexes;
wherein, the term "Listing" herein is the goods sold on the Amazon platform; FBA: the method refers to a delivery warehouse type for selling goods on an Amazon platform, and the FBA delivery specifically refers to the step of preparing local products to an Amazon FBA official warehouse and directly delivering the local products by the Amazon FBA warehouse after an order is placed. FBA library age: refers to the shelf life management of the commodity in amazon FBA warehouse. I.e. how long it has been in the warehouse since warehousing. The longer the warehouse age of the commodity is, the slower the turnover is, and the more the capital occupied. For example, if the storage age of a certain commodity is displayed to be longer, the manager is reminded that corresponding countermeasures should be taken to shorten the storage age and reduce the overstocked funds. Buybox: is an Amazon commercial shopping cart; the detailed explanation is as follows: the Buy Box in amazon is a gold shopping cart that every cross-border e-commerce merchant wants to seize, is located at the upper right of a single commodity page, and is the most convenient purchase location seen when a buyer purchases. As long as the buyer clicks Add to Cart, the page automatically jumps to the seller store with the Buy Box, Amazon selects a seller to occupy the Buy Box in each commodity listing, and the selected seller can enjoy continuous orders and attention, and the order grabbing of the Buy Box is the order grabbing.
S20, monitoring the sales indicators, starting a Listing list for monitoring the sales indicators by adopting a timing loading triggering mode, carrying out batch processing, and pushing a message to a consumption MQ computing end by the monitoring triggering end every 50 Listing processes; skipping when the alarm Listing of the sales indicator is detected, simultaneously filtering out the Listing which does not meet the condition, and screening out the Listing which meets the monitoring indicator;
thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20. In this embodiment, in step S20, a timing loading trigger mode is adopted, where the timing loading trigger mode is: and regularly loading the Listing information of the opened corresponding index items to the consumption MQ computing terminal 20 through task scheduling.
It should be noted that, when the Listing list for monitoring the sales indicators is opened and batch processing is performed, the preset condition is that "every 50 Listing lists are pushed to MQ as a message", that is: namely, the system can automatically detect the Amazon commodity list, judge the Amazon commodity list in a single mode, if 1 ten thousand commodities are provided, the Amazon commodity list can be processed for 1 ten thousand times, and the DB pressure is too high; to reduce DB pressure, the system is run in batches, 1 time every 50 Listing.
S30, monitoring price indexes, wherein the price indexes comprise selling prices, lightning special prices and latest order transaction average prices, screening Listing lists with the monitoring indexes started, carrying out batch processing, and pushing a message to a consumption MQ computing end by the monitoring triggering end every 50 Listing processing times; filtering out Listing which does not meet the conditions, and screening out Listing which meets the monitoring indexes;
thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20.
In this embodiment, in step S30, a data synchronization triggering manner is adopted, where the data synchronization triggering manner is: the 'buried point judgment' is added in the synchronous service, and the judgment is only made by opening Listing of the corresponding index items.
S40, monitoring the picture/title index, when the picture/title index is changed and synchronized and the platform warning is abnormal, screening Listing with the monitoring index started, carrying out batch processing, and pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processing times;
thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20.
In this embodiment, in step S40, a data synchronization triggering manner is adopted, where the data synchronization triggering manner is: the 'buried point judgment' is added in the synchronous service, and the judgment is only made by opening Listing of the corresponding index items.
S50, monitoring the Buybox indexes, synchronizing the Buybox indexes from the acquisition service, screening Listing with the started monitoring indexes when the comparison is changed, carrying out batch processing, and pushing a message to a consumption MQ calculation end by the monitoring trigger end every 50 Listing processes;
thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20.
In this embodiment, in step S50, a data synchronization triggering manner is adopted, where the data synchronization triggering manner is: the 'buried point judgment' is added in the synchronous service, and the judgment is only made by opening Listing of the corresponding index items.
S60, monitoring the on-sale state index, detecting the on-sale state index, screening the Listing with the opened monitoring index when no FBA can sell stock or off-shelf, carrying out batch processing, pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processing, and skipping when the Listing is detected to be alarmed by the corresponding index item;
thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20.
In this embodiment, in step S60, a data synchronization triggering manner is adopted, where the data synchronization triggering manner is: the 'buried point judgment' is added in the synchronous service, and the judgment is only carried out when Listing of the corresponding index item is opened.
S70, monitoring the FBA library age inventory index, screening Listing with the started monitoring index when the FBA library age inventory index is increased, carrying out batch processing, and pushing a message to a consumption MQ computing end by the monitoring triggering end every 50 Listing processing;
thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20.
In this embodiment, in step S70, a data synchronization triggering manner is adopted, where the data synchronization triggering manner is: the 'buried point judgment' is added in the synchronous service, and the judgment is only made by opening Listing of the corresponding index items.
And S80, monitoring the star comment indexes, screening Listing with the started monitoring indexes when the star comment indexes are changed, carrying out batch processing, and pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processes.
Thereafter, the generated warning message is stored in the "warning message record table" and pushed to the consuming MQ computing end 20.
In this embodiment, in step S80, a data synchronization triggering manner is adopted, where the data synchronization triggering manner is: the 'buried point judgment' is added in the synchronous service, and the judgment is only made by opening Listing of the corresponding index items.
In the above embodiment, the warning messages of the same salesperson are assembled into one message in the steps S20-S80. After each step the following steps are included:
and the consumption MQ computing terminal 20 pushes the message to the mobile terminal according to the user configuration condition.
And the mobile terminal comprises WeChat and/or nail, and the sending state of the push message is stored in an alarm message record table. The sending state is saved in an alarm message recording table, and the reason is recorded when the sending fails and the WeChat/nail is not configured.
Wherein, the data synchronization triggers: and adding 'buried point judgment' in the synchronous service, judging only by opening Listing of the corresponding index item, judging whether to change or have simple logic, pushing corresponding Listing information to MQ, and then asynchronously generating an alarm.
Triggering the timed loading: and aiming at the situation that the user can not judge through the 'buried point' of the synchronous service, regularly loading Listing information of the opened corresponding index items to MQ through task scheduling, and then carrying out asynchronous calculation and judgment and generating an alarm.
In addition, skipping the alarm Listing of the corresponding index item on the current day: buffered in Redis, the expiration date is taken as absolute time (0 point 0 on the next day).
The advantages of adopting data synchronization triggering and using 'buried point judgment' are as follows: 1. the service requirements are met, the operation monitoring is that the data change condition is monitored, and the data synchronization needs to be judged by a buried point. 2. The data monitoring efficiency is improved, and comparison of unchanged data is directly eliminated. 3. The storage cost is saved, and each data snapshot does not need to be stored aiming at the changed data. 4. Aiming at the condition that the data change cannot be used for simple ' buried point judgment ', namely the data synchronous triggering ' cannot be carried out, the MQ is loaded at one time, so that the distributed JOB service can be executed in parallel, and repeated data can be prevented from being executed.
Based on the above, the method for intelligent monitoring and real-time reminding realizes the online operation and monitoring of the whole process, improves the capacity of exploring abnormal information, makes specific monitoring indexes, monitors timely and effectively, reduces the time spent by product operators on monitoring and processing product problems, and is expected to be reduced by 30%.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. An intelligent monitoring and real-time reminding method is characterized in that the method is applied to a monitoring trigger terminal, a consumption MQ calculating terminal and a message sending terminal, and the method comprises the following steps:
s10, the monitoring trigger terminal monitors data, and the monitored data comprises a sales volume index, a price index, a picture/title index, a Buybox index, an on-sale state index, an FBA library age inventory index and a star comment index;
s20, monitoring the sales indicators, opening a Listing list for monitoring the sales indicators, carrying out batch processing, and pushing a message to the consumption MQ computing terminal by the monitoring trigger terminal every 50 Listing processing; skipping when the alarm Listing of the sales indicator is detected, simultaneously filtering out the Listing which does not meet the condition, and screening out the Listing which meets the monitoring indicator;
s30, monitoring price indexes, wherein the price indexes comprise selling prices, lightning special prices and latest order transaction average prices, screening Listing lists with the monitoring indexes started, carrying out batch processing, and pushing a message to a consumption MQ computing end by the monitoring triggering end every 50 Listing processing times; filtering Listing which does not meet the conditions, and screening Listing which meets the monitoring index;
s40, monitoring the picture/title index, when the picture/title index is changed and synchronized and the platform warning is abnormal, screening Listing with the monitoring index started, carrying out batch processing, and pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processing times;
s50, monitoring the Buybox indexes, synchronizing the Buybox indexes from the acquisition service, screening Listing with the started monitoring indexes when the comparison is changed, carrying out batch processing, and pushing a message to a consumption MQ calculation end by the monitoring trigger end every 50 Listing processes;
s60, monitoring the on-sale state index, detecting the on-sale state index, screening the Listing with the opened monitoring index when no FBA can sell stock or off-shelf, carrying out batch processing, pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processing, and skipping when the Listing is detected to be alarmed by the corresponding index item;
s70, monitoring the FBA library age inventory index, screening Listing with the started monitoring index when the FBA library age inventory index is increased, carrying out batch processing, and pushing a message to a consumption MQ computing end by the monitoring triggering end every 50 Listing processing;
and S80, monitoring the star comment indexes, screening Listing with the started monitoring indexes when the star comment indexes are changed, carrying out batch processing, and pushing a message to the consumption MQ computing end by the monitoring triggering end every 50 Listing processes.
2. The method according to claim 1, wherein in step S20, a timing loading triggering manner is adopted during the monitoring of the sales volume index, and the timing loading triggering manner is as follows: and regularly loading Listing information of the opened corresponding index items to the consumption MQ computing end through task scheduling.
3. The method according to claim 1, wherein in steps S30-S80, a data synchronization triggering manner is adopted, and the synchronization triggering manner is: adding 'buried point judgment' in the synchronous service, and only starting Listing of the corresponding index items to make judgment;
wherein, the 'buried point judgment' is as follows: and monitoring the change of the service index data according to the set index conditions.
4. The method for intelligent monitoring and real-time reminding of claim 1, wherein the steps S20-S80 each include the following steps:
and generating an alarm message, storing the generated alarm message into an alarm message record table, and pushing the generated alarm message to a consumption MQ computing terminal.
5. The method of claim 4, wherein the alarm messages of the same salesperson are assembled into a message in steps S20-S80.
6. The method for intelligent monitoring and real-time reminding of claim 1, wherein each of the steps S20-S80 is followed by the following steps:
and the consumption MQ computing terminal pushes the message to the mobile terminal according to the user configuration condition.
7. The method according to claim 6, wherein the mobile terminal comprises a WeChat and/or a nail, and the sending status of the push message is stored in an alarm message record table.
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