CN111882358A - Data management and control method, device, storage medium and device based on live broadcast platform - Google Patents
Data management and control method, device, storage medium and device based on live broadcast platform Download PDFInfo
- Publication number
- CN111882358A CN111882358A CN202010750794.9A CN202010750794A CN111882358A CN 111882358 A CN111882358 A CN 111882358A CN 202010750794 A CN202010750794 A CN 202010750794A CN 111882358 A CN111882358 A CN 111882358A
- Authority
- CN
- China
- Prior art keywords
- information
- commodity
- live broadcast
- sold
- data management
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000013523 data management Methods 0.000 title claims abstract description 84
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000007726 management method Methods 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000013527 convolutional neural network Methods 0.000 claims description 5
- 238000012549 training Methods 0.000 claims description 5
- 238000012384 transportation and delivery Methods 0.000 claims description 5
- 238000012545 processing Methods 0.000 abstract description 10
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000011156 evaluation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
Images
Classifications
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of live broadcast data processing, and discloses a data management and control method, data management and control equipment, a storage medium and a data management and control device based on a live broadcast platform. The method comprises the steps of obtaining the selling quantity information of commodities to be sold in a current live broadcast platform; acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold; predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade; and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information, so that the selling amount of the sold commodities can be adjusted in real time by the number of viewers in the live broadcast room, the online purchased commodities can be guaranteed to be purchased by the users in time, the situation that the commodities are purchased successfully but no goods exist in the merchants is avoided, and the timeliness of data management and control on the live broadcast platform is improved.
Description
Technical Field
The invention relates to the technical field of live broadcast data processing, in particular to a data management and control method, data management and control equipment, a data storage medium and a data management and control device based on a live broadcast platform.
Background
At present, the live broadcast platform changes the existing online shopping mode mainly based on e-commerce, online commodity display is carried out through live broadcast, and a purchaser can more visually check detailed information of commodities, so that the traditional mode of checking the commodities through pictures is broken through.
Because the live platform carries out online shopping and has stronger real-time, often appear killing the situation that perhaps needs the user in time to feed back in second, under this kind of circumstances, the actual conditions of article can't in time be known to the user, again because of the unable reason of delivering goods in time of merchant after the user buys article to cause user's loss.
Disclosure of Invention
The invention mainly aims to provide a data management and control method, equipment, a storage medium and a device based on a live broadcast platform, and aims to comprehensively realize more timely data management and control on the live broadcast platform.
In order to achieve the above object, the present invention provides a data management and control method based on a live broadcast platform, where the data management and control method based on the live broadcast platform includes the following steps:
obtaining the selling quantity information of commodities to be sold in the current live broadcast platform;
acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold;
predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade;
and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information.
Optionally, the predicting the volume of the commodity to be sold according to the information of the number of people currently watched to obtain predicted volume of the trade, including:
acquiring commodity characteristic information of the commodity to be sold and merchant characteristic information corresponding to the commodity of the commodity to be sold;
acquiring current time information, and generating multi-dimensional feature vector information from the current time information, the current number of people watching information, the commodity feature information and the merchant feature information;
and carrying out transaction amount prediction on the multi-dimensional feature vector information through a supervised transaction amount prediction model to obtain predicted transaction amount information.
Optionally, before the carrying out the volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain the predicted volume information, the method further includes:
respectively acquiring historical time information, historical watching people number information, historical commodity characteristic information and deal amount information corresponding to historical merchant characteristic information;
respectively acquiring the historical time information, the historical watching person number information, the historical commodity characteristic information and the weight information corresponding to the historical merchant characteristic information;
and training the historical time information, the historical watching people number information, the historical commodity characteristic information, the deal amount information corresponding to the historical merchant characteristic information, and the weight information corresponding to the historical time information, the historical watching people number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised deal amount prediction model.
Optionally, the comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to the comparison result includes:
comparing the predicted volume of deals information with the sales volume information;
when the predicted transaction amount information is larger than the selling amount information, increasing the selling amount in the selling amount information;
when the predicted deal amount information is smaller than the sales amount information, reducing the sales amount in the sales amount information;
maintaining the sales amount in the sales amount information when the predicted deal amount information is equal to the sales amount information.
Optionally, before obtaining the information of the selling quantity of the goods to be sold in the current live broadcast platform, the method further includes:
monitoring the current flow running state of the live broadcast room, and obtaining user quantity information in a high concurrency state according to the current flow running state;
obtaining reserved quantity information according to the user quantity information and a preset strategy;
and acquiring reference quantity information of the commodities to be sold, and adjusting the reference quantity information according to the reserved quantity information to obtain the information of the quantity to be sold.
Optionally, after comparing the predicted transaction amount information with the sales amount information and adjusting the sales amount information according to the comparison result, the method further includes:
acquiring a purchase instruction of a preset account, and searching integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction;
and carrying out risk grade reminding on the user corresponding to the preset account according to the integrity degree information.
Optionally, before obtaining information of the current number of people watching in a live broadcast room corresponding to the to-be-sold product, the method further includes:
monitoring warehousing information and ex-warehouse information of a merchant corresponding to the commodity of the commodity to be sold, and obtaining inventory quantity information according to the warehousing information and the ex-warehouse information;
comparing the sales quantity information with the inventory quantity information;
and when the selling quantity information is smaller than the stock quantity information, the step of obtaining the current watching person number information of the live broadcast room corresponding to the commodity to be sold is executed.
In addition, in order to achieve the above object, the present invention further provides a data management and control device based on a live broadcast platform, where the data management and control device based on the live broadcast platform includes: the data management and control method comprises a memory, a processor and a data management and control program which is stored on the memory and runs on the processor based on a live broadcast platform, wherein when the data management and control program based on the live broadcast platform is executed by the processor, the steps of the data management and control method based on the live broadcast platform are realized.
In addition, in order to achieve the above object, the present invention further provides a storage medium, where a data management and control program based on a live broadcast platform is stored on the storage medium, and when being executed by a processor, the data management and control program based on the live broadcast platform implements the steps of the data management and control method based on the live broadcast platform as described above.
In addition, in order to achieve the above object, the present invention further provides a data management and control device based on a live broadcast platform, where the data management and control device based on the live broadcast platform includes:
the acquisition module is used for acquiring the selling quantity information of the commodities to be sold in the current live broadcast platform;
the acquisition module is also used for acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold;
the forecasting module is used for forecasting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain the information of the forecasted volume of the trade;
and the adjusting module is used for comparing the predicted transaction amount information with the selling amount information and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information.
According to the technical scheme provided by the invention, the information of the selling quantity of the commodities to be sold in the current live broadcast platform is obtained; acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold; predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade; and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information, so that the selling amount of the sold commodities can be adjusted in real time by the number of viewers in the live broadcast room, the online purchased commodities can be guaranteed to be purchased by the users in time, the situation that the commodities are purchased successfully but no goods exist in the merchants is avoided, and the timeliness of data management and control on the live broadcast platform is improved.
Drawings
Fig. 1 is a schematic structural diagram of a gateway device in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a data management and control method based on a live broadcast platform according to a first embodiment of the present invention;
fig. 3 is a schematic view of information of the current number of people watching in a live broadcast platform according to an embodiment of a live broadcast platform-based data management and control method of the present invention;
fig. 4 is a schematic flowchart of a second embodiment of a data management and control method based on a live broadcast platform according to the present invention;
fig. 5 is a schematic flowchart of a data management and control method based on a live broadcast platform according to a third embodiment of the present invention;
fig. 6 is a schematic flowchart of a data management and control method based on a live broadcast platform according to a third embodiment of the present invention;
fig. 7 is a block diagram of a data management and control apparatus based on a live broadcast platform according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a data management and control device based on a live broadcast platform in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the data management and control device based on the live broadcast platform may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), the optional user interface 1003 may also include a standard wired interface and a wireless interface, and the wired interface of the user interface 1003 may be a Universal Serial Bus (USB) interface in the present invention. The network interface 1004 may optionally include a standard wired interface as well as a wireless interface (e.g., WI-FI interface). The Memory 1005 may be a high speed Random Access Memory (RAM); or a stable Memory, such as a Non-volatile Memory (Non-volatile Memory), and may be a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the architecture shown in fig. 1 does not constitute a limitation of a live platform-based data management appliance, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a live platform-based data management program.
In the data management and control device based on the live broadcast platform shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting peripheral equipment; the data management and control device based on the live broadcast platform calls a data management and control program based on the live broadcast platform stored in the memory 1005 through the processor 1001 and executes the following operations:
obtaining the selling quantity information of commodities to be sold in the current live broadcast platform;
acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold;
predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade;
and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information.
Further, processor 1001 may invoke a live platform based data pipe identifier program stored in memory 1005, and also perform the following operations:
acquiring commodity characteristic information of the commodity to be sold and merchant characteristic information corresponding to the commodity of the commodity to be sold;
acquiring current time information, and generating multi-dimensional feature vector information from the current time information, the current number of people watching information, the commodity feature information and the merchant feature information;
and carrying out transaction amount prediction on the multi-dimensional feature vector information through a supervised transaction amount prediction model to obtain predicted transaction amount information.
Further, processor 1001 may invoke a live platform based data pipe identifier program stored in memory 1005, and also perform the following operations:
respectively acquiring historical time information, historical watching people number information, historical commodity characteristic information and deal amount information corresponding to historical merchant characteristic information;
respectively acquiring the historical time information, the historical watching person number information, the historical commodity characteristic information and the weight information corresponding to the historical merchant characteristic information;
and training the historical time information, the historical watching people number information, the historical commodity characteristic information, the deal amount information corresponding to the historical merchant characteristic information, and the weight information corresponding to the historical time information, the historical watching people number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised deal amount prediction model.
Further, processor 1001 may invoke a live platform based data pipe identifier program stored in memory 1005, and also perform the following operations:
comparing the predicted volume of deals information with the sales volume information;
when the predicted transaction amount information is larger than the selling amount information, increasing the selling amount in the selling amount information;
when the predicted deal amount information is smaller than the sales amount information, reducing the sales amount in the sales amount information;
maintaining the sales amount in the sales amount information when the predicted deal amount information is equal to the sales amount information.
Further, processor 1001 may invoke a live platform based data pipe identifier program stored in memory 1005, and also perform the following operations:
monitoring the current flow running state of the live broadcast room, and obtaining user quantity information in a high concurrency state according to the current flow running state;
obtaining reserved quantity information according to the user quantity information and a preset strategy;
and acquiring reference quantity information of the commodities to be sold, and adjusting the reference quantity information according to the reserved quantity information to obtain the information of the quantity to be sold.
Further, processor 1001 may invoke a live platform based data pipe identifier program stored in memory 1005, and also perform the following operations:
acquiring a purchase instruction of a preset account, and searching integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction;
and carrying out risk grade reminding on the user corresponding to the preset account according to the integrity degree information.
Further, processor 1001 may invoke a live platform based data pipe identifier program stored in memory 1005, and also perform the following operations:
monitoring warehousing information and ex-warehouse information of a merchant corresponding to the commodity of the commodity to be sold, and obtaining inventory quantity information according to the warehousing information and the ex-warehouse information;
comparing the sales quantity information with the inventory quantity information.
According to the scheme, the information of the selling quantity of the commodities to be sold in the current live broadcast platform is obtained; acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold; predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade; and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information, so that the selling amount of the sold commodities can be adjusted in real time by the number of viewers in the live broadcast room, the online purchased commodities can be guaranteed to be purchased by the users in time, the situation that the commodities are purchased successfully but no goods exist in the merchants is avoided, and the timeliness of data management and control on the live broadcast platform is improved.
Based on the hardware structure, the embodiment of the data management and control method based on the live broadcast platform is provided.
Referring to fig. 2, fig. 2 is a schematic flowchart of a data management and control method based on a live broadcast platform according to a first embodiment of the present invention.
In a first embodiment, the live broadcast platform-based data management and control method includes the following steps:
step S10: and obtaining the selling quantity information of the commodities to be sold in the current live broadcast platform.
It should be noted that, the execution subject of this embodiment is a data management and control device based on a live broadcast platform, and may also be other devices that can implement the same or similar functions.
In this embodiment, the sales quantity information is the quantity of the sold goods set by the merchant before the goods are sold in the live broadcast platform, and in general, the sales quantity information is configured according to actual needs of the merchant, for example, the sales quantity of the goods is set through a configuration interface, and the goods may also be configured in other manners.
In order to implement effective data management and control, the configuration of the number of commodities is limited in a quantity configuration interface, for example, the upper limit and the lower limit of the commodities are limited, where the upper limit of the commodities is the maximum unit of the number of the commodities sold, for example, lower than 9999, and the lower limit of the commodities is the minimum unit of the number of the commodities sold, for example, greater than 0, so as to ensure the validity of the quantity, that is, the number of the commodities sold is not less than 0 and not greater than 9999, in order to ensure the valid input of the data, a reminding instruction is started when the input number is less than zero or greater than 9999, and the user is reminded of invalidity of the input data through the reminding instruction, or the invalid data is not allowed to be input, and the data can be processed through other methods.
It can be understood that, because the traditional selling quantity is set according to the needs of the merchants, but the specific commodity information of the merchants is not verified, the embodiment monitors the commodity information of the merchants in real time based on the monitoring of the internet of things, and performs data management and control on a live broadcast platform based on the data of the merchants.
In a specific implementation, before the step S20, warehousing information and ex-warehouse information of a merchant corresponding to the commodity of the commodity to be sold are monitored, and inventory quantity information is obtained according to the warehousing information and the ex-warehouse information; comparing the sales quantity information with the inventory quantity information; when the sales quantity information is smaller than the inventory quantity information, step S20 is executed, a sensor or Near Field Communication (NFC) device may be set in a preset area of the merchant, the sensor or NFC device monitors warehousing information and ex-warehouse information of the merchant, and manages and stores the warehousing information and the ex-warehouse information in the database, so as to obtain actual inventory information of the merchant, and the sales commodity data in the live broadcast platform needs to be smaller than the actual inventory information, so as to avoid a situation that no goods are available, for example, the actual inventory is 10 ten thousand, the number of sales commodities should be smaller than 10 ten thousand, thereby achieving data Communication between the merchant and the live broadcast room.
In this embodiment, when the actual inventory information is obtained, a preset rule is further set, and an upper limit of the sold quantity information is obtained according to the preset rule, so that the sold quantity information is obtained according to the actual inventory information and the preset rule, where the preset rule may be 30% of the actual inventory information, and may also be other parameter information, which is not limited in this embodiment, 30% of the actual inventory information is taken as an example, and when the actual inventory is 10 ten thousands, 30%, that is, 3 ten thousands, of the actual inventory information is taken as the upper limit of the sold quantity information, that is, the quantity of the goods sold in the live broadcast platform cannot be more than 3 ten thousands, so that the actual and effective sold quantity is ensured.
Step S20: and acquiring the information of the current watching number of people in the live broadcast room corresponding to the commodity to be sold.
It should be noted that when the live broadcast room corresponding to the to-be-sold product is one, the number of people watching in the live broadcast room is directly obtained, the number of people watching is taken as the current number of people watching, when the live broadcast room corresponding to the to-be-sold product is multiple, the number of people watching in each live broadcast room is directly obtained, the number of people watching is counted to obtain the current number of people watching, that is, the reference number of people watching in the live broadcast room corresponding to the to-be-sold product is respectively obtained, and the current number of people watching is counted according to the reference number of people watching to obtain the current number of people watching, for example, the number of people watching in the live broadcast room a is a, the number of people watching in the live broadcast room B is B, the current number of people watching is a + B, so that.
In a specific implementation, since the current number of people watching is monitored in real time, the data processing efficiency is low, for example, the current number of people watching is updated every 1 minute, so that, in order to improve the data processing efficiency, the flow rate of the number of people watching can be obtained, the information of the current number of people watching is predicted through the flow rate, and the information of the current number of people watching can also be obtained through the historical number of people watching corresponding to the current time, so as to achieve effective estimation of the number of people watching, as shown in the schematic diagram of the information of the current number of people watching in the live broadcast platform shown in fig. 3, wherein the numbers in the upper left diagram indicate the current number of people watching online.
Step S30: and predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain the predicted volume of the transaction.
In this embodiment, the analysis may be performed based on the big data, and the volume prediction may be performed based on the trained model, so as to obtain the predicted volume information according to the information of the current number of people watching, for example, the volume information corresponding to the historical number of people watching is obtained according to the big data, so as to obtain the predicted volume information corresponding to the current number of people watching according to the corresponding relationship, thereby realizing the volume prediction.
Step S40: and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information.
In this embodiment, the predicted volume of transaction information is compared with the sales volume information; when the predicted transaction amount information is larger than the selling amount information, increasing the selling amount in the selling amount information; when the predicted deal amount information is smaller than the sales amount information, reducing the sales amount in the sales amount information; maintaining the sales amount in the sales amount information when the predicted deal amount information is equal to the sales amount information.
In a specific implementation, by obtaining the predicted transaction amount information, for example, the predicted transaction amount information is not 10 ten thousand, but the sales amount is 9 ten thousand, and from the perspective of the merchant, since the sales amount of the merchant cannot meet the requirement of the purchasing user, the sales amount in the sales amount information needs to be increased, so as to ensure that the purchasing user can make effective purchase, and from the perspective of the purchasing user, the purchasing amount of the purchasing user can be further limited, for example, each purchasing user is limited to only purchase one or two goods in the account, so as to limit from the perspective of the purchasing user.
According to the scheme, the information of the selling quantity of the commodities to be sold in the current live broadcast platform is obtained; acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold; predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade; and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information, so that the selling amount of the sold commodities can be adjusted in real time by the number of viewers in the live broadcast room, the online purchased commodities can be guaranteed to be purchased by the users in time, the situation that the commodities are purchased successfully but no goods exist in the merchants is avoided, and the timeliness of data management and control on the live broadcast platform is improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of a data management and control method based on a live broadcast platform according to the present invention, and the second embodiment of the data management and control method based on a live broadcast platform according to the present invention is provided based on the first embodiment illustrated in fig. 2.
In the second embodiment, the step S30 includes:
step S301, obtaining the commodity feature information of the commodity to be sold and the merchant feature information corresponding to the commodity of the commodity to be sold.
It should be noted that the commodity feature information of the commodity to be sold includes historical purchase quantity information of the commodity, monthly transaction amount information, popularity ranking information of the commodity, user attention information, and other feature information, which is not limited in this embodiment, and the merchant feature information includes historical transaction amount information, commodity quality information of the merchant, delivery time guarantee information, return service information, and other information, which is not limited in this embodiment.
In the specific implementation, the predicted transaction amount information is obtained by obtaining historical purchase amount information, monthly transaction amount information, popularity ranking information, user attention information and the like of the goods to be sold, and obtaining historical transaction amount information, goods quality information, delivery time guarantee information, return service information and the like of a merchant corresponding to the goods of the goods to be sold, and performing transaction amount prediction according to a supervised transaction amount prediction model.
Step S302, obtaining current time information, and generating multi-dimensional feature vector information from the current time information, the current watching people number information, the commodity feature information and the merchant feature information.
Because the timeliness of the commodity is stronger, for example, 11 months receives the double 11 promotion activities, so that the volume of the deal rises sharply, the time information is considered in the forecast of the volume of the deal, and the time information is taken as a reference, so that the accuracy of the volume of the deal forecast is improved.
And step S303, carrying out volume prediction on the multi-dimensional feature vector information through a supervised volume prediction model to obtain predicted volume information.
According to the method and the device, the deal quantity is predicted through the current time information, the current watching person number information, the commodity characteristic information and the merchant characteristic information, so that multi-dimensional prediction vector information is generated, and the accuracy of deal quantity prediction is improved.
Further, before step S303, the method further includes:
in order to realize the prediction of a supervised volume prediction model, historical time information, historical watching people number information, historical commodity characteristic information and volume information corresponding to historical merchant characteristic information are respectively obtained; respectively acquiring the historical time information, the historical watching person number information, the historical commodity characteristic information and the weight information corresponding to the historical merchant characteristic information; and training the historical time information, the historical watching people number information, the historical commodity characteristic information, the deal amount information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching people number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised deal amount prediction model, thereby obtaining the supervised deal amount prediction model.
According to the scheme, the deal quantity is predicted by combining the current time information, the current number of people watching the commodity information, the commodity characteristic information and the merchant characteristic information, so that multi-dimensional prediction vector information is generated, and the accuracy of the deal quantity prediction is improved.
Referring to fig. 5, fig. 5 is a flowchart illustrating a data management and control method based on a live broadcast platform according to a third embodiment of the present invention, and the third embodiment of the data management and control method based on a live broadcast platform according to the present invention is provided based on the first embodiment or the second embodiment.
In the third embodiment, before the step S10, the method further includes:
and S101, monitoring the current flow running state of the live broadcast room, and obtaining the user quantity information in a high concurrency state according to the current flow running state.
In this embodiment, since the volume of the transaction may be increased sharply in the high concurrency condition, in this case, in order to avoid that the stock of the purchaser who makes the transaction is sufficient in the high concurrency condition, a part needs to be reserved to ensure that the stock is sufficient in the high concurrency condition.
In a specific implementation, the current traffic running state of the live broadcast room can be monitored in real time by detecting the local network traffic, such as network connection configuration, receiving and sending data packets, and calling Ping instructions.
And step S102, obtaining reserved quantity information according to the user quantity information and a preset strategy.
It should be noted that the preset policy may be a corresponding relationship between the traffic operation state and the reserved quantity, for example, the traffic operation state may be divided into three levels, which are low, medium, and high, respectively, and may also be other level information.
Step S103, obtaining the reference quantity information of the commodity to be sold, and adjusting the reference quantity information according to the reserved quantity information to obtain the sales quantity information.
In specific implementation, when the preset strategy is to reserve 10% of the quantity as the reserved quantity information, when the reference quantity information is acquired, 10% of the reference quantity information is reserved, that is, 90% of the reference quantity information is used as the selling quantity information, so that the validity of the selling quantity is ensured.
According to the scheme, the user quantity information in the high concurrency state is obtained according to the current flow operation state by monitoring the current flow operation state of the live broadcast room; obtaining reserved quantity information according to the user quantity information and a preset strategy; and acquiring reference quantity information of the commodities to be sold, and adjusting the reference quantity information according to the reserved quantity information to obtain the sales quantity information, so that the sales quantity information is adjusted according to the current flow state information, and the validity of the sales quantity is ensured.
Referring to fig. 6, fig. 6 is a schematic flow chart of a data management and control method based on a live broadcast platform according to a third embodiment of the present invention, and a fourth embodiment of the data management and control method based on a live broadcast platform according to the present invention is provided based on the first embodiment, the second embodiment, or the third embodiment.
In the fourth embodiment, after the step S40, the method further includes:
step S401, obtaining a purchase instruction of a preset account, and searching integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction.
It should be noted that the preset account is account information of the purchasing user, and since the live broadcast room manages the purchasing user through the live broadcast room, after the purchasing user places an order, the purchasing user needs to be subjected to transaction risk judgment, and when a large risk exists in the transaction, a corresponding risk prompt needs to be performed, so that the security of data processing in the live broadcast room is improved.
In this embodiment, the integrity information of the merchant includes historical trading amount information of the merchant, historical refund information of the merchant, evaluation information of the merchant, and the like, and may further include other information.
In a specific implementation, the merchant information includes a pseudo-one-claim-three service, specifically, if the buyer signs the commodity and considers the commodity as a fake commodity, the buyer has right to initiate a right to maintain within a specified time limit if the buyer does not negotiate with the seller, and then the buyer can apply a pseudo-one-claim-three payment.
The merchant information also comprises quality commitment of the merchant, and the merchant ensures that before the merchant confirms the receipt from the date of the receipt of the commodity, if the buyer finds that the material or the quality of the commodity is inconsistent with the online description and negotiates with the seller, the buyer has the right to initiate the right of maintenance within a specified period and applies for the quality commitment payment, if the buyer is judged to apply for the payment, the seller should return the commodity price actually paid to the buyer and compensate for the agreed payment, so that the quality commitment in the initiated merchant information obtains the integrity information of the merchant.
And if the goods are not delivered according to the appointed time, paying is given according to 5% of the actual transaction amount of the goods, the lowest amount is not less than 1 yuan, and the highest amount is not more than 30 yuan, so that the delivered time in the initiated merchant information is committed to obtain the integrity information of the merchant.
The merchant information also comprises a return promise, namely the goods meet the agreed state from the date of the goods sign-in to the time guaranteed by the seller, if the buyer is unsatisfied with the purchased goods, the goods can be returned for no reason, and the return goods and the postage generated during the first delivery are undertaken according to the accepted parties agreed by the promise, so that the honesty information of the merchant can be obtained through the return promise in the initiated merchant information.
The merchant information also comprises damage replenishment, namely, if the damage of the commodity is found in the transportation process within the guarantee time from the sign-in date to the seller, the buyer can apply for replenishment of the damaged part of the commodity, the seller promise provides 1 replenishment service, replenishment logistics cost is borne by a settlement bearing party, and if the replenished commodity is still damaged, the seller provides return service, so that integrity information of the merchant can be obtained through the damage replenishment in the initiated merchant information.
In specific implementation, corresponding weight information, such as 30% of returned goods commitment and the like, can be set for each parameter in the merchant information, so that an overall score is obtained according to the score corresponding to each parameter in the merchant information and the corresponding weight value, comprehensive evaluation of the integrity information of the merchant is realized, and the accuracy of the integrity information evaluation of the merchant is improved.
And S402, performing risk grade reminding on the user corresponding to the preset account according to the integrity degree information.
It can be understood that the risk level reminding can be performed by performing the risk level reminding information in the purchase interface when the purchase instruction of the purchaser is obtained, or performing the risk reminding in other manners, which is not limited in this embodiment.
According to the scheme, a purchase instruction of a preset account is obtained, and integrity information of a merchant corresponding to the commodity to be sold is searched according to the purchase instruction; and carrying out risk grade reminding on the user corresponding to the preset account according to the integrity degree information, thereby improving the effectiveness of commodity transaction.
In addition, an embodiment of the present invention further provides a storage medium, where a data management and control program based on a live broadcast platform is stored on the storage medium, and when being executed by a processor, the data management and control program based on the live broadcast platform implements the steps of the data management and control method based on the live broadcast platform.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
In addition, referring to fig. 7, an embodiment of the present invention further provides a data management and control device based on a live broadcast platform, where the data management and control device based on the live broadcast platform includes:
the obtaining module 10 is configured to obtain information of a selling quantity of a commodity to be sold in a current live broadcast platform.
In this embodiment, the sales quantity information is the quantity of the sold goods set by the merchant before the goods are sold in the live broadcast platform, and in general, the sales quantity information is configured according to actual needs of the merchant, for example, the sales quantity of the goods is set through a configuration interface, and the goods may also be configured in other manners.
In order to implement effective data management and control, the configuration of the number of commodities is limited in a quantity configuration interface, for example, the upper limit and the lower limit of the commodities are limited, where the upper limit of the commodities is the maximum unit of the number of the commodities sold, for example, lower than 9999, and the lower limit of the commodities is the minimum unit of the number of the commodities sold, for example, greater than 0, so as to ensure the validity of the quantity, that is, the number of the commodities sold is not less than 0 and not greater than 9999, in order to ensure the valid input of the data, a reminding instruction is started when the input number is less than zero or greater than 9999, and the user is reminded of invalidity of the input data through the reminding instruction, or the invalid data is not allowed to be input, and the data can be processed through other methods.
It can be understood that, because the traditional selling quantity is set according to the needs of the merchants, but the specific commodity information of the merchants is not verified, the embodiment monitors the commodity information of the merchants in real time based on the monitoring of the internet of things, and performs data management and control on a live broadcast platform based on the data of the merchants.
In a specific implementation, before the step S20, warehousing information and ex-warehouse information of a merchant corresponding to the commodity of the commodity to be sold are monitored, and inventory quantity information is obtained according to the warehousing information and the ex-warehouse information; comparing the sales quantity information with the inventory quantity information; when the sales quantity information is less than the inventory quantity information, step S20 is executed, a sensor or an NFC device may be set in a preset area of the merchant, the sensor or the NFC device monitors warehousing information and ex-warehouse information of the merchant, and manages and stores the warehousing information and the ex-warehouse information in a database, so as to obtain actual inventory information of the merchant, and the data of the goods sold in the live broadcast platform needs to be less than the actual inventory information, so as to avoid a situation of no goods, for example, if the actual inventory is 10 ten thousand, the quantity of the goods sold should be less than 10 ten thousand, so as to achieve data communication between the merchant and the live broadcast.
In this embodiment, when the actual inventory information is obtained, a preset rule is further set, and an upper limit of the sold quantity information is obtained according to the preset rule, so that the sold quantity information is obtained according to the actual inventory information and the preset rule, where the preset rule may be 30% of the actual inventory information, and may also be other parameter information, which is not limited in this embodiment, 30% of the actual inventory information is taken as an example, and when the actual inventory is 10 ten thousands, 30%, that is, 3 ten thousands, of the actual inventory information is taken as the upper limit of the sold quantity information, that is, the quantity of the goods sold in the live broadcast platform cannot be more than 3 ten thousands, so that the actual and effective sold quantity is ensured.
The acquisition module is further used for acquiring the information of the current watching number of the live broadcast room corresponding to the commodity to be sold.
It should be noted that when the live broadcast room corresponding to the to-be-sold product is one, the number of people watching in the live broadcast room is directly obtained, the number of people watching is taken as the current number of people watching, when the live broadcast room corresponding to the to-be-sold product is multiple, the number of people watching in each live broadcast room is directly obtained, the number of people watching is counted to obtain the current number of people watching, that is, the reference number of people watching in the live broadcast room corresponding to the to-be-sold product is respectively obtained, and the current number of people watching is counted according to the reference number of people watching to obtain the current number of people watching, for example, the number of people watching in the live broadcast room a is a, the number of people watching in the live broadcast room B is B, the current number of people watching is a + B, so that.
In a specific implementation, since the current number of people watching is monitored in real time, the data processing efficiency is low, for example, the current number of people watching is updated every 1 minute, so that, in order to improve the data processing efficiency, the flow rate of the number of people watching can be obtained, the information of the current number of people watching is predicted through the flow rate, and the information of the current number of people watching can also be obtained through the historical number of people watching corresponding to the current time, so as to achieve effective estimation of the number of people watching, as shown in the schematic diagram of the information of the current number of people watching in the live broadcast platform shown in fig. 3, wherein the numbers in the upper left diagram indicate the current number of people watching online.
And the predicting module 20 is configured to predict the volume of the commodity to be sold according to the information of the current number of people watching the commodity, so as to obtain predicted volume of the commodity.
In this embodiment, the analysis may be performed based on the big data, and the volume prediction may be performed based on the trained model, so as to obtain the predicted volume information according to the information of the current number of people watching, for example, the volume information corresponding to the historical number of people watching is obtained according to the big data, so as to obtain the predicted volume information corresponding to the current number of people watching according to the corresponding relationship, thereby realizing the volume prediction.
And the adjusting module 30 is configured to compare the predicted transaction amount information with the selling amount information, and adjust the selling amount information according to a comparison result, so as to implement management and control on the selling amount information.
In this embodiment, the predicted volume of transaction information is compared with the sales volume information; when the predicted transaction amount information is larger than the selling amount information, increasing the selling amount in the selling amount information; when the predicted deal amount information is smaller than the sales amount information, reducing the sales amount in the sales amount information; maintaining the sales amount in the sales amount information when the predicted deal amount information is equal to the sales amount information.
In a specific implementation, by obtaining the predicted transaction amount information, for example, the predicted transaction amount information is not 10 ten thousand, but the sales amount is 9 ten thousand, and from the perspective of the merchant, since the sales amount of the merchant cannot meet the requirement of the purchasing user, the sales amount in the sales amount information needs to be increased, so as to ensure that the purchasing user can make effective purchase, and from the perspective of the purchasing user, the purchasing amount of the purchasing user can be further limited, for example, each purchasing user is limited to only purchase one or two goods in the account, so as to limit from the perspective of the purchasing user.
According to the scheme, the information of the selling quantity of the commodities to be sold in the current live broadcast platform is obtained; acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold; predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade; and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information, so that the selling amount of the sold commodities can be adjusted in real time by the number of viewers in the live broadcast room, the online purchased commodities can be guaranteed to be purchased by the users in time, the situation that the commodities are purchased successfully but no goods exist in the merchants is avoided, and the timeliness of data management and control on the live broadcast platform is improved.
In an embodiment, the prediction module is further configured to obtain commodity feature information of the commodity to be sold and merchant feature information corresponding to the commodity of the commodity to be sold;
acquiring current time information, and generating multi-dimensional feature vector information from the current time information, the current number of people watching information, the commodity feature information and the merchant feature information;
and carrying out transaction amount prediction on the multi-dimensional feature vector information through a supervised transaction amount prediction model to obtain predicted transaction amount information.
In an embodiment, the prediction module is further configured to obtain historical time information, historical watching people number information, historical commodity feature information, and volume information corresponding to historical merchant feature information;
respectively acquiring the historical time information, the historical watching person number information, the historical commodity characteristic information and the weight information corresponding to the historical merchant characteristic information;
and training the historical time information, the historical watching people number information, the historical commodity characteristic information, the deal amount information corresponding to the historical merchant characteristic information, and the weight information corresponding to the historical time information, the historical watching people number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised deal amount prediction model.
The data management and control device based on the live broadcast platform comprises a data management and control module, a data processing module and a data processing module, wherein the data management and control module is used for comparing the predicted volume of transaction information with the sales volume information;
when the predicted transaction amount information is larger than the selling amount information, increasing the selling amount in the selling amount information;
when the predicted deal amount information is smaller than the sales amount information, reducing the sales amount in the sales amount information;
maintaining the sales amount in the sales amount information when the predicted deal amount information is equal to the sales amount information.
In an embodiment, the obtaining module is further configured to monitor a current traffic running state of the live broadcast room, and obtain user quantity information in a high concurrency state according to the current traffic running state;
obtaining reserved quantity information according to the user quantity information and a preset strategy;
and acquiring reference quantity information of the commodities to be sold, and adjusting the reference quantity information according to the reserved quantity information to obtain the information of the quantity to be sold.
In an embodiment, the data management and control apparatus based on a live broadcast platform further includes: a reminding module;
the reminding module is used for acquiring a purchasing instruction of a preset account and searching the integrity information of a merchant corresponding to the commodity to be sold according to the purchasing instruction;
and carrying out risk grade reminding on the user corresponding to the preset account according to the integrity degree information.
In an embodiment, the data management and control apparatus based on a live broadcast platform further includes: a comparison module;
the comparison module is also used for monitoring warehousing information and ex-warehouse information of a merchant corresponding to the commodity of the commodity to be sold, and obtaining inventory quantity information according to the warehousing information and the ex-warehouse information;
comparing the sales quantity information with the inventory quantity information.
The data management and control device based on the live broadcast platform adopts all technical schemes of all the embodiments, so that the data management and control device at least has all the beneficial effects brought by the technical schemes of the embodiments, and is not repeated herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A data management and control method based on a live broadcast platform is characterized by comprising the following steps:
obtaining the selling quantity information of commodities to be sold in the current live broadcast platform;
acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold;
predicting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain predicted volume of the trade;
and comparing the predicted transaction amount information with the selling amount information, and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information.
2. The live broadcast platform-based data management and control method according to claim 1, wherein the predicting the volume of the commodity to be sold according to the information of the number of people currently watching to obtain predicted volume of the volume:
acquiring commodity characteristic information of the commodity to be sold and merchant characteristic information corresponding to the commodity of the commodity to be sold;
acquiring current time information, and generating multi-dimensional feature vector information from the current time information, the current number of people watching information, the commodity feature information and the merchant feature information;
and carrying out transaction amount prediction on the multi-dimensional feature vector information through a supervised transaction amount prediction model to obtain predicted transaction amount information.
3. The live broadcast platform-based data management and control method as claimed in claim 2, wherein before the performing volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume of deals information, the method further comprises:
respectively acquiring historical time information, historical watching people number information, historical commodity characteristic information and deal amount information corresponding to historical merchant characteristic information;
respectively acquiring the historical time information, the historical watching person number information, the historical commodity characteristic information and the weight information corresponding to the historical merchant characteristic information;
and training the historical time information, the historical watching people number information, the historical commodity characteristic information, the deal amount information corresponding to the historical merchant characteristic information, and the weight information corresponding to the historical time information, the historical watching people number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised deal amount prediction model.
4. The live platform-based data management and control method according to any one of claims 1 to 3, wherein the comparing the predicted delivery volume information with the sales volume information, and adjusting the sales volume information according to a comparison result includes:
comparing the predicted volume of deals information with the sales volume information;
when the predicted transaction amount information is larger than the selling amount information, increasing the selling amount in the selling amount information;
when the predicted deal amount information is smaller than the sales amount information, reducing the sales amount in the sales amount information;
maintaining the sales amount in the sales amount information when the predicted deal amount information is equal to the sales amount information.
5. The live platform-based data management and control method according to any one of claims 1 to 3, wherein before obtaining information on the sales volume of a product to be sold in a current live platform, the method further includes:
monitoring the current flow running state of the live broadcast room, and obtaining user quantity information in a high concurrency state according to the current flow running state;
obtaining reserved quantity information according to the user quantity information and a preset strategy;
and acquiring reference quantity information of the commodities to be sold, and adjusting the reference quantity information according to the reserved quantity information to obtain the information of the quantity to be sold.
6. The live platform-based data management and control method according to claims 1 to 3, wherein after comparing the predicted delivery volume information with the sales volume information and adjusting the sales volume information according to the comparison result, the method further includes:
acquiring a purchase instruction of a preset account, and searching integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction;
and carrying out risk grade reminding on the user corresponding to the preset account according to the integrity degree information.
7. The live broadcast platform-based data management and control method according to any one of claims 1 to 3, wherein before obtaining information of a current number of people watching in a live broadcast room corresponding to the commodity to be sold, the method further includes:
monitoring warehousing information and ex-warehouse information of a merchant corresponding to the commodity of the commodity to be sold, and obtaining inventory quantity information according to the warehousing information and the ex-warehouse information;
comparing the sales quantity information with the inventory quantity information;
and when the selling quantity information is smaller than the stock quantity information, the step of obtaining the current watching person number information of the live broadcast room corresponding to the commodity to be sold is executed.
8. The utility model provides a data management and control equipment based on live platform which characterized in that, data management and control equipment based on live platform includes: the data management and control method comprises a memory, a processor and a data management and control program which is stored on the memory and runs on the processor based on a live broadcast platform, wherein when the data management and control program based on the live broadcast platform is executed by the processor, the steps of the data management and control method based on the live broadcast platform according to any one of claims 1 to 7 are realized.
9. A storage medium, wherein a live platform based data management and control program is stored on the storage medium, and when executed by a processor, the live platform based data management and control program implements the steps of the live platform based data management and control method according to any one of claims 1 to 7.
10. The utility model provides a data management and control device based on live platform which characterized in that, data management and control device based on live platform includes:
the acquisition module is used for acquiring the selling quantity information of the commodities to be sold in the current live broadcast platform;
the acquisition module is also used for acquiring the information of the current watching number of people in a live broadcast room corresponding to the commodity to be sold;
the forecasting module is used for forecasting the volume of the commodity to be sold according to the information of the number of the current viewers to obtain the information of the forecasted volume of the trade;
and the adjusting module is used for comparing the predicted transaction amount information with the selling amount information and adjusting the selling amount information according to a comparison result so as to realize the management and control of the selling amount information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010750794.9A CN111882358B (en) | 2020-07-30 | Data management and control method, device, storage medium and device based on live broadcast platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010750794.9A CN111882358B (en) | 2020-07-30 | Data management and control method, device, storage medium and device based on live broadcast platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111882358A true CN111882358A (en) | 2020-11-03 |
| CN111882358B CN111882358B (en) | 2024-05-24 |
Family
ID=
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024004615A1 (en) * | 2022-07-01 | 2024-01-04 | 株式会社ディー・エヌ・エー | System, method, and program for providing live streaming service |
| CN117425020A (en) * | 2023-11-01 | 2024-01-19 | 天津瀛智科技有限公司 | Calculation method for natural flow index optimization promotion strategy of live broadcasting room |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106485558A (en) * | 2015-08-14 | 2017-03-08 | 阿里巴巴集团控股有限公司 | Merchandise items presell information processing method and device |
| CN106599018A (en) * | 2016-10-20 | 2017-04-26 | 乐视控股（北京）有限公司 | Inventory operation method and system |
| CN107292684A (en) * | 2016-03-30 | 2017-10-24 | 阿里巴巴集团控股有限公司 | The dispatching method and equipment of a kind of merchandise items |
| KR101823381B1 (en) * | 2017-03-15 | 2018-01-30 | 주식회사 옵티로 | Real time inventory controlling system of open market |
| CN108596743A (en) * | 2018-05-10 | 2018-09-28 | 北京三快在线科技有限公司 | Merchandise information processing method, device, storage medium and computer equipment |
| CN109559163A (en) * | 2018-11-16 | 2019-04-02 | 广州麦优网络科技有限公司 | A kind of model building method and sales forecasting method based on machine learning |
| CN110363456A (en) * | 2018-04-10 | 2019-10-22 | 北京京东振世信息技术有限公司 | A kind of method and apparatus of article restocking |
| CN110400103A (en) * | 2019-05-08 | 2019-11-01 | 深圳壹账通智能科技有限公司 | Replenishment quantity determines method, apparatus, computer installation and storage medium |
| CN110458360A (en) * | 2019-08-13 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Prediction technique, device, equipment and the storage medium of hot resource |
| KR20200009542A (en) * | 2018-07-19 | 2020-01-30 | 한국기술교육대학교 산학협력단 | Intelligent Shopping Platform Management System and Its Methods Based on Consumer Big Data |
| CN110782266A (en) * | 2018-07-31 | 2020-02-11 | 阿里巴巴集团控股有限公司 | Commodity sales prediction and model training method, device and equipment |
| CN110827069A (en) * | 2019-10-28 | 2020-02-21 | 阿里巴巴（中国）有限公司 | Data processing method, device, medium, and electronic apparatus |
| CN110858346A (en) * | 2018-08-22 | 2020-03-03 | 阿里巴巴集团控股有限公司 | Data processing method, device and machine readable medium |
| CN110996110A (en) * | 2019-12-02 | 2020-04-10 | 深圳市云积分科技有限公司 | Commodity adjusting method and device in live broadcast process |
| CN111160968A (en) * | 2019-12-27 | 2020-05-15 | 清华大学 | SKU-level commodity sales prediction method and device |
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106485558A (en) * | 2015-08-14 | 2017-03-08 | 阿里巴巴集团控股有限公司 | Merchandise items presell information processing method and device |
| CN107292684A (en) * | 2016-03-30 | 2017-10-24 | 阿里巴巴集团控股有限公司 | The dispatching method and equipment of a kind of merchandise items |
| CN106599018A (en) * | 2016-10-20 | 2017-04-26 | 乐视控股（北京）有限公司 | Inventory operation method and system |
| KR101823381B1 (en) * | 2017-03-15 | 2018-01-30 | 주식회사 옵티로 | Real time inventory controlling system of open market |
| CN110363456A (en) * | 2018-04-10 | 2019-10-22 | 北京京东振世信息技术有限公司 | A kind of method and apparatus of article restocking |
| CN108596743A (en) * | 2018-05-10 | 2018-09-28 | 北京三快在线科技有限公司 | Merchandise information processing method, device, storage medium and computer equipment |
| KR20200009542A (en) * | 2018-07-19 | 2020-01-30 | 한국기술교육대학교 산학협력단 | Intelligent Shopping Platform Management System and Its Methods Based on Consumer Big Data |
| CN110782266A (en) * | 2018-07-31 | 2020-02-11 | 阿里巴巴集团控股有限公司 | Commodity sales prediction and model training method, device and equipment |
| CN110858346A (en) * | 2018-08-22 | 2020-03-03 | 阿里巴巴集团控股有限公司 | Data processing method, device and machine readable medium |
| CN109559163A (en) * | 2018-11-16 | 2019-04-02 | 广州麦优网络科技有限公司 | A kind of model building method and sales forecasting method based on machine learning |
| CN110400103A (en) * | 2019-05-08 | 2019-11-01 | 深圳壹账通智能科技有限公司 | Replenishment quantity determines method, apparatus, computer installation and storage medium |
| CN110458360A (en) * | 2019-08-13 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Prediction technique, device, equipment and the storage medium of hot resource |
| CN110827069A (en) * | 2019-10-28 | 2020-02-21 | 阿里巴巴（中国）有限公司 | Data processing method, device, medium, and electronic apparatus |
| CN110996110A (en) * | 2019-12-02 | 2020-04-10 | 深圳市云积分科技有限公司 | Commodity adjusting method and device in live broadcast process |
| CN111160968A (en) * | 2019-12-27 | 2020-05-15 | 清华大学 | SKU-level commodity sales prediction method and device |
Non-Patent Citations (2)
| Title |
|---|
| 叶璐;韦丽杉;: "出版直播营销中的风险与对策", 出版广角, no. 12, 30 June 2020 (2020-06-30) * |
| 钟小勇;: "基于FTRL和XGBoost组合算法的电商销量预测系统", 信息记录材料, no. 01, 1 January 2020 (2020-01-01) * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024004615A1 (en) * | 2022-07-01 | 2024-01-04 | 株式会社ディー・エヌ・エー | System, method, and program for providing live streaming service |
| CN117425020A (en) * | 2023-11-01 | 2024-01-19 | 天津瀛智科技有限公司 | Calculation method for natural flow index optimization promotion strategy of live broadcasting room |
| CN117425020B (en) * | 2023-11-01 | 2024-05-17 | 天津瀛智科技有限公司 | Calculation method for natural flow index optimization promotion strategy of live broadcasting room |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100418060C (en) | Prioritization of response activities | |
| US10223729B2 (en) | Ecommerce high volume order management system and method | |
| JP5011027B2 (en) | Customer information transaction system, customer information transaction method, server, and program | |
| US20020004760A1 (en) | Online settlement system, method thereof and storage medium | |
| US20010005833A1 (en) | Product distribution system and method for providing information to customer in context of such system | |
| US20140236751A1 (en) | Methods and System For Electronic Commerce Facility Client-Based Presentation Offer Management | |
| US20150178814A1 (en) | Methods and systems for conducting online transactions | |
| US20120323732A1 (en) | E-Commerce Via Web Banners | |
| US20120271735A1 (en) | Method and apparatus for providing an electronic commerce platform | |
| US8583513B1 (en) | Systems and methods for offer selection | |
| CN111292149A (en) | Method and device for generating return processing information | |
| KR20000012750A (en) | Method for Automatic Shopping Agent in Internet Shopping Intermediate Service | |
| CN104318472A (en) | Online transaction monitoring method and system | |
| KR20000012568A (en) | Method for Assess of Individual Shopping Malls in Internet Shopping Intermediate Service | |
| CN114170010A (en) | Matching transaction method and device, electronic equipment and storage medium | |
| CA2550656A1 (en) | Pre-order wholesale system and method | |
| CN103886472A (en) | Permission assignment method and system in online transaction | |
| JPWO2003038700A1 (en) | How to notify product information | |
| CN111738602A (en) | E-commerce system | |
| US20130304611A1 (en) | Price Notification and/or Adjustment System in a Web-Based Electronic Commerce Environment | |
| JP2001306752A (en) | Method and system for questionnaire surrogating job using network | |
| CN111882358A (en) | Data management and control method, device, storage medium and device based on live broadcast platform | |
| US20150170038A1 (en) | Method And System For Generating Item Recommendation | |
| CN111882358B (en) | Data management and control method, device, storage medium and device based on live broadcast platform | |
| CN112017000B (en) | Commodity information pushing method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |