CN111882358B - 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 PDF

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CN111882358B
CN111882358B CN202010750794.9A CN202010750794A CN111882358B CN 111882358 B CN111882358 B CN 111882358B CN 202010750794 A CN202010750794 A CN 202010750794A CN 111882358 B CN111882358 B CN 111882358B
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sold
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CN111882358A (en
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曹小伍
曹景溢
雷铭杰
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Hangzhou Xiangyi Technology Co Ltd
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Hangzhou Xiangyi Technology Co Ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention relates to the technical field of live broadcast data processing, and discloses a live broadcast platform-based data management and control method, equipment, a storage medium and a device. The method comprises the steps of obtaining sales quantity information of commodities to be sold in a current live broadcast platform; acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold; carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information; comparing the predicted transaction quantity information with the sales quantity information, and adjusting the sales quantity information according to a comparison result to realize management and control of the sales quantity information, so that the sales quantity of the sold goods can be adjusted in real time through the number of viewers in a live broadcast room, users who purchase online can purchase the purchased goods in time, the situation that the purchase is successful but commercial tenant does not have goods is avoided, and the timeliness of data management and control on a live broadcast platform is improved.

Description

Data management and control method, device, storage medium and device based on live broadcast platform
Technical Field
The present invention relates to the field of live broadcast data processing technologies, and in particular, to a live broadcast platform-based data management and control method, apparatus, storage medium, and storage device.
Background
At present, the live broadcast platform changes the existing online shopping mode mainly comprising electronic commerce, online commodity display is carried out through live broadcast, and a purchaser can more intuitively check detailed information of commodities, so that the traditional mode of checking the commodities through pictures is broken.
Because the live platform carries out online shopping and has stronger instantaneity, the situation that the user kills in seconds or needs timely feedback often appears, under this condition, the user can't know the actual conditions of article in time, and the cause that again can't be timely shipped because of the merchant after the user purchases 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 solve the problem of realizing more comprehensive and 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, the data management and control method based on the live broadcast platform includes the following steps:
Acquiring sales quantity information of commodities to be sold in a current live broadcast platform;
Acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold;
Carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information;
Comparing the predicted trading volume information with the sales volume information, and adjusting the sales volume information according to a comparison result to realize management and control of the sales volume information.
Optionally, the predicting the volume of the goods to be sold according to the current information of the number of people to be watched to obtain predicted volume of the goods to be sold, 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 multidimensional feature vector information from the current time information, current watching number information, commodity feature information and merchant feature information;
and carrying out volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume information.
Optionally, before performing the volume prediction on the multidimensional feature vector information through the supervised volume prediction model to obtain the predicted volume information, the method further includes:
Respectively acquiring historical time information, historical watching person number information, historical commodity characteristic information and transaction amount information corresponding to the historical merchant characteristic information;
respectively acquiring weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information;
training the historical time information, the historical watching person number information, the historical commodity characteristic information and the volume information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised volume prediction model.
Optionally, the comparing the predicted transaction amount information with the sales amount information, and adjusting the sales amount information according to the comparison result includes:
comparing the predicted amount of contact information with the sales amount information;
Increasing the sales volume in the sales volume information when the predicted deal volume information is greater than the sales volume information;
reducing the sales volume in the sales volume information when the predicted deal volume information is less than the sales volume information;
and when the predicted deal quantity information is equal to the sales quantity information, maintaining the sales quantity in the sales quantity information.
Optionally, before the acquiring the sales quantity information of the commodity to be sold in the current live platform, the method further includes:
Monitoring the current flow running state of the live broadcasting room, and obtaining user quantity information in a high concurrency state according to the current flow running state;
obtaining reserved quantity information according to a preset strategy according to the user quantity information;
acquiring 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.
Optionally, after comparing the predicted amount of delivery 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 for the integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction;
And carrying out risk level reminding on the user corresponding to the preset account according to the integrity information.
Optionally, before the obtaining the current information of the number of people watched in the living broadcast room corresponding to the commodity to be sold, the method further includes:
monitoring warehouse-in information and warehouse-out information of merchants corresponding to the commodities of the commodities to be sold, and obtaining inventory quantity information according to the warehouse-in information and the warehouse-out information;
Comparing the sales volume information with the inventory volume information;
and executing the step of acquiring the current watching number information of the living broadcast room corresponding to the commodity to be sold when the sales number information is smaller than the inventory number information.
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 a live broadcast platform includes: the system comprises a memory, a processor and a live platform-based data management and control program stored in the memory and running on the processor, wherein the live platform-based data management and control program realizes the steps of the live platform-based data management and control method when being executed by the processor.
In addition, in order to achieve the above objective, the present invention further provides a storage medium, where a data management and control program based on a live broadcast platform is stored, where 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 when being executed by a processor.
In addition, in order to achieve the above objective, 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 a live broadcast platform includes:
The acquisition module is used for acquiring sales quantity information of commodities to be sold in the current live broadcast platform;
the acquisition module is also used for acquiring the current watching number information of the living broadcast room corresponding to the commodity to be sold;
the prediction module is used for predicting the volume of the commodity to be sold according to the current number of people watching information to obtain predicted volume of the commodity to be sold;
And the adjustment module is used for comparing the predicted transaction amount information with the sales amount information, and adjusting the sales amount information according to a comparison result so as to realize management and control of the sales amount information.
According to the technical scheme provided by the invention, the information of the selling quantity of the commodity to be sold in the current live broadcast platform is obtained; acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold; carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information; comparing the predicted transaction quantity information with the sales quantity information, and adjusting the sales quantity information according to a comparison result to realize management and control of the sales quantity information, so that the sales quantity of the sold goods can be adjusted in real time through the number of viewers in a live broadcast room, users who purchase online can purchase the purchased goods in time, the situation that the purchase is successful but commercial tenant does not have goods is avoided, and the timeliness of data management and control on a live broadcast platform is improved.
Drawings
FIG. 1 is a schematic 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 first embodiment of a data management and control method based on a live broadcast platform according to the present invention;
fig. 3 is a schematic diagram of information of the number of people currently watching in a live platform according to an embodiment of the data management and control method based on the live platform of the present invention;
Fig. 4 is a schematic flow chart of a second embodiment of a data management and control method based on a live platform according to the present invention;
fig. 5 is a flow chart of a third embodiment of a data management and control method based on a live platform according to the present invention;
fig. 6 is a flowchart of a third embodiment of a data management and control method based on a live platform according to the present invention;
Fig. 7 is a block diagram of a first embodiment of a data management and control device based on a live platform according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a data management and control device based on a live platform in a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the live platform-based data management and control device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), the optional user interface 1003 may also include a standard wired interface as well as a wireless interface, and the wired interface of the user interface 1003 may be a universal serial bus (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 (Random Access Memory, RAM); the Memory may be a stable Memory, such as a Non-volatile Memory (Non-volatile Memory), and specifically, a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is not limiting of a live platform-based data management device and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a live platform-based data management program may be included in a memory 1005, which is a type of computer storage medium.
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 peripherals; the live platform-based data management and control device invokes, through the processor 1001, a live platform-based data management and control program stored in the memory 1005, and performs the following operations:
Acquiring sales quantity information of commodities to be sold in a current live broadcast platform;
Acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold;
Carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information;
Comparing the predicted trading volume information with the sales volume information, and adjusting the sales volume information according to a comparison result to realize management and control of the sales volume information.
Further, the processor 1001 may call the live platform-based data management control program stored in the memory 1005, and further 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 multidimensional feature vector information from the current time information, current watching number information, commodity feature information and merchant feature information;
and carrying out volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume information.
Further, the processor 1001 may call the live platform-based data management control program stored in the memory 1005, and further perform the following operations:
Respectively acquiring historical time information, historical watching person number information, historical commodity characteristic information and transaction amount information corresponding to the historical merchant characteristic information;
respectively acquiring weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information;
training the historical time information, the historical watching person number information, the historical commodity characteristic information and the volume information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised volume prediction model.
Further, the processor 1001 may call the live platform-based data management control program stored in the memory 1005, and further perform the following operations:
comparing the predicted amount of contact information with the sales amount information;
Increasing the sales volume in the sales volume information when the predicted deal volume information is greater than the sales volume information;
reducing the sales volume in the sales volume information when the predicted deal volume information is less than the sales volume information;
and when the predicted deal quantity information is equal to the sales quantity information, maintaining the sales quantity in the sales quantity information.
Further, the processor 1001 may call the live platform-based data management control program stored in the memory 1005, and further perform the following operations:
Monitoring the current flow running state of the live broadcasting room, and obtaining user quantity information in a high concurrency state according to the current flow running state;
obtaining reserved quantity information according to a preset strategy according to the user quantity information;
acquiring 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.
Further, the processor 1001 may call the live platform-based data management control program stored in the memory 1005, and further perform the following operations:
Acquiring a purchase instruction of a preset account, and searching for the integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction;
And carrying out risk level reminding on the user corresponding to the preset account according to the integrity information.
Further, the processor 1001 may call the live platform-based data management control program stored in the memory 1005, and further perform the following operations:
monitoring warehouse-in information and warehouse-out information of merchants corresponding to the commodities of the commodities to be sold, and obtaining inventory quantity information according to the warehouse-in information and the warehouse-out information;
Comparing the sales volume information with the inventory volume information.
According to the embodiment, through the scheme, the information of the selling quantity of the commodity to be sold in the current live broadcast platform is obtained; acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold; carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information; comparing the predicted transaction quantity information with the sales quantity information, and adjusting the sales quantity information according to a comparison result to realize management and control of the sales quantity information, so that the sales quantity of the sold goods can be adjusted in real time through the number of viewers in a live broadcast room, users who purchase online can purchase the purchased goods in time, the situation that the purchase is successful but commercial tenant does not have goods is avoided, and the timeliness of data management and control on a 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 flowchart of a first embodiment of a data management and control method based on a live platform according to the present invention.
In a first embodiment, the live platform-based data management and control method includes the following steps:
Step S10: and acquiring the sales quantity information of the commodity to be sold in the current live broadcast platform.
It should be noted that, the execution body of the embodiment is a data management and control device based on a live broadcast platform, and may also be other devices capable of implementing the same or similar functions, which is not limited in this embodiment, and in this embodiment, the data management and control device based on a live broadcast platform is described as an example.
In this embodiment, the sales quantity information is the quantity of the sold goods set by the merchant before the merchant performs the selling of the goods in the live platform, and in general, in order to perform configuration according to the actual needs of the merchant, for example, the sales quantity of the goods is set through a configuration interface, and the configuration of the goods may also be performed through other manners.
In order to realize effective data management, the configuration of the number of commodities, such as an upper limit and a lower limit of the commodities, is limited in the number configuration interface, wherein the upper limit of the commodities is the maximum unit of the number of commodities sold, such as less than 9999, the lower limit of the commodities is the minimum unit of the number of commodities sold, such as greater than 0, so as to ensure the validity of the number, i.e. the number of commodities sold at the configuration interface is not less than 0 and not greater than 9999, and 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, the reminding instruction is used for reminding the user that the input of the invalid data is invalid, or the invalid data is not allowed to be input, and the valid data can be processed in other manners, so that the embodiment does not limit.
It can be understood that, because the conventional sales amount is set according to the needs of the merchant, but specific commodity information of the merchant is not verified, the commodity information of the merchant is monitored in real time based on the monitoring of the internet of things, so that the data management and control of the live platform are performed through the data of the merchant.
In a specific implementation, before the step S20, the warehouse-in information and the warehouse-out information of the commercial tenant corresponding to the commodity of the commodity to be sold are monitored, and the inventory quantity information is obtained according to the warehouse-in information and the warehouse-out information; comparing the sales volume information with the inventory volume information; and when the sales quantity information is smaller than the stock quantity information, executing step S20, wherein a sensor or Near Field Communication (NFC) device can be set in a preset area of the merchant, the warehouse-in information and the warehouse-out information of the merchant are monitored through the sensor or the NFC device, the warehouse-in information and the warehouse-out information are managed and stored in a database, so that the actual stock information of the merchant is obtained, the sales commodity data in a live platform needs to be smaller than the actual stock information, the condition of no commodity is avoided, for example, the actual stock is 10 ten thousand, and the sales commodity quantity needs to be smaller than 10 ten thousand, so that the data between the merchant and the live broadcast is realized.
In this embodiment, when the actual inventory information is obtained, the preset rule is set, and the upper limit of the sales quantity information is obtained according to the preset rule, so that the sales quantity information is obtained according to the actual inventory information and the preset rule, wherein the preset rule may be 30% of the actual inventory information and may also be other parameter information, and this embodiment 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 thousand, 30% of the actual inventory information, that is, 3 ten thousand is taken as the upper limit of the sales quantity information, that is, the quantity of the commodities sold in the live platform cannot be more than 3 ten thousand, so as to ensure the true and effective sales quantity.
Step S20: and acquiring the current watching number information of the living broadcast room corresponding to the commodity to be sold.
It should be noted that when the living broadcast room corresponding to the commodity to be sold is one, the number of viewers in the living broadcast room is directly obtained, the number of viewers is used as the current number of viewers information, when the living broadcast room corresponding to the commodity to be sold is a plurality of living broadcast rooms, the number of viewers in each living broadcast room is directly obtained, the number of viewers is counted to obtain the current number of viewers information, namely, the reference number of viewers in the living broadcast room corresponding to the commodity to be sold is respectively obtained, the current number of viewers is counted according to the reference number of viewers, for example, the number of viewers in the living broadcast room A of the commodity to be sold is a, and the number of viewers in the living broadcast room B is B, and the current number of viewers information is a+b, thereby obtaining the current number of viewers more accurately.
In a specific implementation, since the current number of viewers is monitored in real time, the data processing efficiency is low, for example, the current number of viewers is updated every 1 minute, so in order to improve the data processing efficiency, the current number of viewers can be predicted by the flow rate, the current number of viewers can also be obtained by the historical number of viewers corresponding to the current time, and thus the effective estimation of the number of viewers is realized, such as the current number of viewers information schematic diagram in the live platform shown in fig. 3, wherein the numbers in the upper left diagram represent the current number of online viewers.
Step S30: and carrying out volume prediction on the commodities to be sold according to the current watching number information to obtain predicted volume information.
In this embodiment, analysis may be performed based on big data, and prediction of the volume of traffic may be performed based on a trained model, so as to obtain predicted volume of traffic information according to current information of the number of people watched, for example, obtain volume information corresponding to historical number of people watched according to big data, so as to obtain predicted volume of traffic information corresponding to current number of people watched according to a corresponding relationship, thereby realizing prediction of volume of traffic.
Step S40: comparing the predicted trading volume information with the sales volume information, and adjusting the sales volume information according to a comparison result to realize management and control of the sales volume information.
In this embodiment, the predicted transaction amount information is compared with the sales amount information; increasing the sales volume in the sales volume information when the predicted deal volume information is greater than the sales volume information; reducing the sales volume in the sales volume information when the predicted deal volume information is less than the sales volume information; and when the predicted deal quantity information is equal to the sales quantity information, maintaining the sales quantity in the sales quantity information.
In a specific implementation, 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 the sales amount in the sales amount information needs to be increased due to the fact that the sales amount of the merchant cannot meet the requirement of the purchasing user through the angle of the merchant, so that the purchasing user can make effective purchases, and the purchasing amount of the purchasing user can be limited through the angle of the purchasing user, for example, the account of each purchasing user is limited to only purchase one or two commodities, so that the limitation is performed from the angle of the purchasing user.
According to the embodiment, through the scheme, the information of the selling quantity of the commodity to be sold in the current live broadcast platform is obtained; acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold; carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information; comparing the predicted transaction quantity information with the sales quantity information, and adjusting the sales quantity information according to a comparison result to realize management and control of the sales quantity information, so that the sales quantity of the sold goods can be adjusted in real time through the number of viewers in a live broadcast room, users who purchase online can purchase the purchased goods in time, the situation that the purchase is successful but commercial tenant does not have goods is avoided, and the timeliness of data management and control on a live broadcast platform is improved.
Referring to fig. 4, fig. 4 is a schematic flow chart of a second embodiment of the data management method based on the live broadcast platform according to the present invention, and based on the first embodiment shown in fig. 2, the second embodiment of the data management method based on the live broadcast platform according to the present invention is proposed.
In a second embodiment, the step S30 includes:
step S301, acquiring commodity feature information of the commodity to be sold and 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, monthly transaction amount information, heat ranking information of the commodity and attention information of the user, and may further include 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 the like, and may further include other information, which is not limited in this embodiment.
In specific implementation, the estimated volume information is obtained by acquiring historical purchase volume information, monthly volume information, heat ranking information of commodities, user attention information and the like of commodities to be sold, acquiring historical volume information of merchants corresponding to the commodities to be sold, commodity quality information of merchants, delivery time guarantee information, return service information and the like of the commodities to be sold, and performing volume estimation according to a supervised volume estimation model.
Step S302, current time information is obtained, and multidimensional feature vector information is generated from the current time information, current number of viewers information, commodity feature information and merchant feature information.
Since the timeliness of the commodity is relatively strong, for example, 11 months are subjected to double 11 sales promotion, the volume of the sales is increased sharply, and the time information is considered in the prediction of the volume of the sales, and the time information is taken as a reference volume, so that the accuracy of the volume of the sales is improved.
Step S303, performing volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume information.
According to the application, the number of deals is predicted through the current time information, the current number of people information, the commodity characteristic information and the merchant characteristic information, so that multidimensional prediction vector information is generated, and the accuracy of the number of deals is improved.
Further, before step S303, the method further includes:
In order to realize the prediction of the supervised volume prediction model, historical time information, historical watching number information, historical commodity characteristic information and volume information corresponding to the historical merchant characteristic information are respectively obtained; respectively acquiring weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information; training the historical time information, the historical watching person number information, the historical commodity characteristic information and the volume information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised volume of arrival prediction model, so as to obtain a supervised volume of arrival prediction model.
According to the scheme, the number of deals is predicted by combining the current time information, the current number of people information, the commodity characteristic information and the merchant characteristic information, so that multidimensional prediction vector information is generated, and accuracy of the number of deals is improved.
Referring to fig. 5, fig. 5 is a schematic flow chart of a third embodiment of the data management and control method based on a live broadcast platform according to 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 proposed based on the first embodiment or the second embodiment, and in this embodiment, the description is based on the first embodiment.
In a third embodiment, before the step S10, the method further includes:
Step S101, monitoring the current flow running state of the live broadcasting room, and obtaining user quantity information in a high concurrency state according to the current flow running state.
In this embodiment, since the volume of the delivery may rise sharply in the case of high concurrency, in this case, in order to avoid the shortage of the stock of the purchaser who guarantees the delivery in the high concurrency state, a portion needs to be reserved to ensure the sufficiency of the stock in the high concurrency state.
In a specific implementation, the real-time monitoring of the current traffic running state of the live broadcasting room can be realized by detecting the local network traffic, such as network connection configuration, receiving and sending data packets and the like, and calling Ping instructions and the like.
Step S102, obtaining reserved quantity information according to a preset strategy according to the user quantity information.
It should be noted that, the preset policy may be a correspondence between the traffic running state and the reserved quantity, for example, the traffic running state may be classified into three classes, i.e., low, medium and high, respectively, and may also be other class information, which is not limited in this embodiment, when the current traffic is in the low and medium states, no adjustment is performed, and when the current traffic is in the high state, 10% of the quantity is reserved as the reserved quantity 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 a specific implementation, when the preset strategy is to reserve 10% of quantity as reserved quantity information, 10% of the reference quantity information is reserved when the reference quantity information is acquired, namely 90% of the reference quantity information is used as sales quantity information, so that the effectiveness of the sales quantity is ensured.
According to the scheme, the user quantity information in a high concurrency state is obtained according to the current flow running state by monitoring the current flow running state of the live broadcasting room; obtaining reserved quantity information according to a preset strategy according to the user quantity information; the reference quantity information of the commodity to be sold is obtained, the reference quantity information is adjusted according to the reserved quantity information, and the sales quantity information is obtained, so that the sales quantity information is adjusted according to the current flow state information, and the effectiveness of the sales quantity is ensured.
Referring to fig. 6, fig. 6 is a flow chart of a third embodiment of the data management and control method based on a live broadcast platform according to 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 proposed based on the first embodiment or the second embodiment or the third embodiment, and in this embodiment, the description is given based on the first embodiment.
In a fourth embodiment, after the step S40, the method further includes:
step S401, obtaining a purchase instruction of a preset account, and searching for the integrity information of the 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 because the management of the purchasing user by the live broadcast room is managed by the live broadcast room, after the purchasing user makes an order, the purchasing user needs to be subjected to transaction risk judgment, and when the transaction has a large risk, the corresponding risk reminding needs to be performed, so that the security of the data processing of the live broadcast room is improved.
In this embodiment, the integrity information of the merchant includes historical transaction amount information of the merchant, historical return goods information of the merchant, evaluation information of the merchant, and the like, and may also include other information.
In a specific implementation, the merchant information includes a false claim three service, specifically, if the buyer signs the commodity, then considers that the commodity is false, if the buyer negotiates that the commodity is not true, the right to initiate the right to support the right is available in a specified period, then the false claim three service can be applied, if the buyer pays the right to support the right, the seller returns the commodity price actually paid by the buyer, and increases the loss of the right to support the right, the amount of the right to support the right is twice the commodity price actually paid by the buyer, and all the logistics cost of the commodity related to the right is borne, so that the integrity information of the merchant can be obtained through the false claim three service in the initiated merchant information.
The merchant information also comprises a quality commitment of the merchant, the merchant guarantees that the merchant discovers that the commodity material or quality is not consistent with the online description after the commodity signing and receiving date and before the commodity receiving is confirmed, if the buyer discovers that the commodity material or quality is inconsistent with the online description and negotiates with the seller, the buyer has the right to initiate the right within a specified period and applies for 'quality commitment' pay, if the buyer pay is judged to be applied for, the seller shall return commodity price actually paid by the seller to the buyer and compensate for the agreed pay, and therefore the quality commitment in the initiated merchant information obtains the integrity information of the merchant.
The merchant information also comprises delivery time commitment, delivery is completed within the appointed time after the buyer pays, if the commodity is not delivered within the appointed time, the commodity is paid for according to 5% of the actual transaction amount of the commodity, and the amount is at least 1 element and at most 30 elements, so that the delivery time commitment in the initiated merchant information obtains the integrity information of the merchant.
The merchant information also comprises a return commitment, namely, the commodity accords with the commitment state from the date of commodity signing to the time of the commitment guarantee of the seller, such as the unsatisfied commodity of the buyer can apply for return without reason, the return and the postal fee generated in the first delivery are carried according to the commitment undertaking party, and thus, the integrity information of the merchant can be obtained through the return commitment in the initiated merchant information.
The merchant information also comprises damage remittance, namely, if the damage of the commodity occurs in the transportation process within the promised guarantee time of the seller from the date of signing to the date of signing, the buyer can apply for the repair of the damaged part of the commodity, the seller promises to provide 1 repair service, the repair commodity flow charge is born by the stipulated undertaking party, and if the commodity subjected to repair is damaged, the seller can provide goods return and refund service, so that the integrity information of the merchant can be obtained through the damage repair in the initiated merchant information.
In a specific implementation, corresponding weight information, such as 30% of return commitments, 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 accuracy of evaluation of the integrity information of the merchant is improved.
And step S402, carrying out risk level reminding on the user corresponding to the preset account according to the integrity information.
It can be understood that the risk level reminding can be performed by performing the risk level reminding information in the purchasing interface when the purchasing instruction of the purchasing user is obtained, and also can be performed by other manners, which is not limited in this embodiment.
According to the scheme, the purchasing instruction of the preset account is obtained, and the integrity information of the merchant corresponding to the commodity to be sold is searched according to the purchasing instruction; and carrying out risk level reminding on the user corresponding to the preset account according to the integrity information, so that the effectiveness of commodity transaction is improved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with a data management and control program based on the live broadcast platform, and the data management and control program based on the live broadcast platform realizes the steps of the data management and control method based on the live broadcast platform when being executed by a processor.
Because the storage medium adopts all the technical schemes of all the embodiments, the storage medium has at least all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted 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 acquiring module 10 is configured to acquire sales quantity information of the commodity to be sold in the current live platform.
In this embodiment, the sales quantity information is the quantity of the sold goods set by the merchant before the merchant performs the selling of the goods in the live platform, and in general, in order to perform configuration according to the actual needs of the merchant, for example, the sales quantity of the goods is set through a configuration interface, and the configuration of the goods may also be performed through other manners.
In order to realize effective data management, the configuration of the number of commodities, such as an upper limit and a lower limit of the commodities, is limited in the number configuration interface, wherein the upper limit of the commodities is the maximum unit of the number of commodities sold, such as less than 9999, the lower limit of the commodities is the minimum unit of the number of commodities sold, such as greater than 0, so as to ensure the validity of the number, i.e. the number of commodities sold at the configuration interface is not less than 0 and not greater than 9999, and 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, the reminding instruction is used for reminding the user that the input of the invalid data is invalid, or the invalid data is not allowed to be input, and the valid data can be processed in other manners, so that the embodiment does not limit.
It can be understood that, because the conventional sales amount is set according to the needs of the merchant, but specific commodity information of the merchant is not verified, the commodity information of the merchant is monitored in real time based on the monitoring of the internet of things, so that the data management and control of the live platform are performed through the data of the merchant.
In a specific implementation, before the step S20, the warehouse-in information and the warehouse-out information of the commercial tenant corresponding to the commodity of the commodity to be sold are monitored, and the inventory quantity information is obtained according to the warehouse-in information and the warehouse-out information; comparing the sales volume information with the inventory volume information; and when the sales quantity information is smaller than the inventory quantity information, executing the step S20, setting a sensor or NFC equipment in a preset area of the merchant, monitoring the warehousing information and the ex-warehouse information of the merchant through the sensor or NFC equipment, managing and storing the warehousing information and the ex-warehouse information in a database so as to obtain the actual inventory information of the merchant, wherein the sales commodity data in the live platform is required to be smaller than the actual inventory information, so that the condition of no commodity is avoided, for example, the actual inventory is 10 ten thousand, and the sales commodity quantity is required to be smaller than 10 ten thousand, thereby realizing the data communication between the merchant and the live broadcast.
In this embodiment, when the actual inventory information is obtained, the preset rule is set, and the upper limit of the sales quantity information is obtained according to the preset rule, so that the sales quantity information is obtained according to the actual inventory information and the preset rule, wherein the preset rule may be 30% of the actual inventory information and may also be other parameter information, and this embodiment 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 thousand, 30% of the actual inventory information, that is, 3 ten thousand is taken as the upper limit of the sales quantity information, that is, the quantity of the commodities sold in the live platform cannot be more than 3 ten thousand, so as to ensure the true and effective sales quantity.
The acquisition module is also used for acquiring the current watching number information of the living broadcast room corresponding to the commodity to be sold.
It should be noted that when the living broadcast room corresponding to the commodity to be sold is one, the number of viewers in the living broadcast room is directly obtained, the number of viewers is used as the current number of viewers information, when the living broadcast room corresponding to the commodity to be sold is a plurality of living broadcast rooms, the number of viewers in each living broadcast room is directly obtained, the number of viewers is counted to obtain the current number of viewers information, namely, the reference number of viewers in the living broadcast room corresponding to the commodity to be sold is respectively obtained, the current number of viewers is counted according to the reference number of viewers, for example, the number of viewers in the living broadcast room A of the commodity to be sold is a, and the number of viewers in the living broadcast room B is B, and the current number of viewers information is a+b, thereby obtaining the current number of viewers more accurately.
In a specific implementation, since the current number of viewers is monitored in real time, the data processing efficiency is low, for example, the current number of viewers is updated every 1 minute, so in order to improve the data processing efficiency, the current number of viewers can be predicted by the flow rate, the current number of viewers can also be obtained by the historical number of viewers corresponding to the current time, and thus the effective estimation of the number of viewers is realized, such as the current number of viewers information schematic diagram in the live platform shown in fig. 3, wherein the numbers in the upper left diagram represent the current number of online viewers.
And the prediction module 20 is configured to predict the volume of the commodity to be sold according to the current number of people watching, so as to obtain predicted volume of the commodity to be sold.
In this embodiment, analysis may be performed based on big data, and prediction of the volume of traffic may be performed based on a trained model, so as to obtain predicted volume of traffic information according to current information of the number of people watched, for example, obtain volume information corresponding to historical number of people watched according to big data, so as to obtain predicted volume of traffic information corresponding to current number of people watched according to a corresponding relationship, thereby realizing prediction of volume of traffic.
The adjustment module 30 is configured to compare the predicted transaction amount information with the sales amount information, and adjust the sales amount information according to a comparison result, so as to implement management and control of the sales amount information.
In this embodiment, the predicted transaction amount information is compared with the sales amount information; increasing the sales volume in the sales volume information when the predicted deal volume information is greater than the sales volume information; reducing the sales volume in the sales volume information when the predicted deal volume information is less than the sales volume information; and when the predicted deal quantity information is equal to the sales quantity information, maintaining the sales quantity in the sales quantity information.
In a specific implementation, 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 the sales amount in the sales amount information needs to be increased due to the fact that the sales amount of the merchant cannot meet the requirement of the purchasing user through the angle of the merchant, so that the purchasing user can make effective purchases, and the purchasing amount of the purchasing user can be limited through the angle of the purchasing user, for example, the account of each purchasing user is limited to only purchase one or two commodities, so that the limitation is performed from the angle of the purchasing user.
According to the embodiment, through the scheme, the information of the selling quantity of the commodity to be sold in the current live broadcast platform is obtained; acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold; carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information; comparing the predicted transaction quantity information with the sales quantity information, and adjusting the sales quantity information according to a comparison result to realize management and control of the sales quantity information, so that the sales quantity of the sold goods can be adjusted in real time through the number of viewers in a live broadcast room, users who purchase online can purchase the purchased goods in time, the situation that the purchase is successful but commercial tenant does not have goods is avoided, and the timeliness of data management and control on a 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 multidimensional feature vector information from the current time information, current watching number information, commodity feature information and merchant feature information;
and carrying out volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume information.
In an embodiment, the prediction module is further configured to obtain historical time information, historical viewing person number information, historical commodity feature information, and transaction amount information corresponding to the historical merchant feature information respectively;
respectively acquiring weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information;
training the historical time information, the historical watching person number information, the historical commodity characteristic information and the volume information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised volume prediction model.
The live broadcast platform-based data management and control device comprises a device for comparing the predicted trading volume information with the sales volume information;
Increasing the sales volume in the sales volume information when the predicted deal volume information is greater than the sales volume information;
reducing the sales volume in the sales volume information when the predicted deal volume information is less than the sales volume information;
and when the predicted deal quantity information is equal to the sales quantity information, maintaining the sales quantity in the sales quantity information.
In an embodiment, the obtaining module is further configured to monitor a current flow operation state of the live broadcasting room, and obtain the user number information in a high concurrency state according to the current flow operation state;
obtaining reserved quantity information according to a preset strategy according to the user quantity information;
acquiring 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 an embodiment, the data management and control device based on the live broadcast platform further includes: a reminding module;
The reminding module is used for acquiring a purchase instruction of a preset account and searching for the integrity information of the merchant corresponding to the commodity to be sold according to the purchase instruction;
And carrying out risk level reminding on the user corresponding to the preset account according to the integrity information.
In an embodiment, the data management and control device based on the live broadcast platform further includes: a comparison module;
The comparison module is also used for monitoring the warehouse-in information and the warehouse-out information of the commercial tenant corresponding to the commodity to be sold and obtaining the inventory quantity information according to the warehouse-in information and the warehouse-out information;
Comparing the sales volume information with the inventory volume information.
The data management and control device based on the live broadcast platform adopts all the 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 the description is omitted 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 one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to perform the method of each embodiment of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (7)

1. The data management and control method based on the live broadcast platform is characterized by comprising the following steps of:
Acquiring sales quantity information of commodities to be sold in a current live broadcast platform;
Acquiring current watching number information of a living broadcast room corresponding to the commodity to be sold;
Carrying out volume prediction on the commodities to be sold according to the current number of people watching information to obtain predicted volume information;
Comparing the predicted transaction amount information with the sales amount information, and adjusting the sales amount information according to a comparison result to realize management and control of the sales amount information;
before the obtaining the information of the selling quantity of the commodity to be sold in the current live broadcast platform, the method further comprises the following steps:
Monitoring the current flow running state of the live broadcasting room, and obtaining user quantity information in a high concurrency state according to the current flow running state;
obtaining reserved quantity information according to a preset strategy according to the user quantity information;
Acquiring 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;
the step of predicting the volume of the commodity to be sold according to the current number of people to be watched to obtain predicted volume of the commodity to be sold, comprising the following steps:
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 multidimensional feature vector information from the current time information, current watching number information, commodity feature information and merchant feature information;
Respectively acquiring historical time information, historical watching person number information, historical commodity characteristic information and transaction amount information corresponding to the historical merchant characteristic information;
respectively acquiring weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information;
Training the historical time information, the historical watching person number information, the historical commodity characteristic information and the volume information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised volume prediction model;
and carrying out volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume information.
2. The live platform-based data management method as claimed in claim 1, wherein the comparing the predicted transaction amount information with the sales amount information, and adjusting the sales amount information according to the comparison result, comprises:
comparing the predicted amount of contact information with the sales amount information;
Increasing the sales volume in the sales volume information when the predicted deal volume information is greater than the sales volume information;
reducing the sales volume in the sales volume information when the predicted deal volume information is less than the sales volume information;
and when the predicted deal quantity information is equal to the sales quantity information, maintaining the sales quantity in the sales quantity information.
3. The live platform-based data management method as claimed in claim 1, wherein the comparing the predicted transaction amount information with the sales amount information, and after adjusting the sales amount information according to the comparison result, the method further comprises:
Acquiring a purchase instruction of a preset account, and searching for the integrity information of a merchant corresponding to the commodity to be sold according to the purchase instruction;
And carrying out risk level reminding on the user corresponding to the preset account according to the integrity information.
4. The method for managing and controlling data based on a live platform as claimed in claim 1, wherein before the step of obtaining the current number of viewers information of the live room corresponding to the commodity to be sold, the method further comprises:
monitoring warehouse-in information and warehouse-out information of merchants corresponding to the commodities of the commodities to be sold, and obtaining inventory quantity information according to the warehouse-in information and the warehouse-out information;
Comparing the sales volume information with the inventory volume information;
and executing the step of acquiring the current watching number information of the living broadcast room corresponding to the commodity to be sold when the sales number information is smaller than the inventory number information.
5. 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: a memory, a processor and a live platform based data management program stored on the memory and running on the processor, the live platform based data management program implementing the steps of the live platform based data management method of any of claims 1 to 4 when executed by the processor.
6. A storage medium, wherein a live platform based data management program is stored on the storage medium, and the live platform based data management program, when executed by a processor, implements the steps of the live platform based data management method according to any one of claims 1 to 4.
7. The utility model provides a data management and control device based on live broadcast platform which characterized in that, data management and control device based on live broadcast platform includes:
The acquisition module is used for acquiring the sales quantity information of the commodity to be sold in the current live broadcast platform, and before acquiring the sales quantity information of the commodity to be sold in the current live broadcast platform, the acquisition module further comprises: monitoring the current flow running state of the live broadcasting room, and obtaining user quantity information in a high concurrency state according to the current flow running state; obtaining reserved quantity information according to a preset strategy according to the user quantity information; acquiring 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;
the acquisition module is also used for acquiring the current watching number information of the living broadcast room corresponding to the commodity to be sold;
the prediction module is configured to predict a volume of a commodity to be sold according to the current number of people information to obtain predicted volume of the commodity to be sold, and predict the volume of the commodity to be sold according to the current number of people information to obtain predicted volume of the commodity to be sold, and includes: 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 multidimensional feature vector information from the current time information, current watching number information, commodity feature information and merchant feature information; respectively acquiring historical time information, historical watching person number information, historical commodity characteristic information and transaction amount information corresponding to the historical merchant characteristic information; respectively acquiring weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information; training the historical time information, the historical watching person number information, the historical commodity characteristic information and the volume information corresponding to the historical merchant characteristic information and the weight information corresponding to the historical time information, the historical watching person number information, the historical commodity characteristic information and the historical merchant characteristic information through a supervised convolutional neural network to obtain a supervised volume prediction model; carrying out volume prediction on the multidimensional feature vector information through a supervised volume prediction model to obtain predicted volume information;
And the adjustment module is used for comparing the predicted transaction amount information with the sales amount information, and adjusting the sales amount information according to a comparison result so as to realize management and control of the sales amount information.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112330415A (en) * 2020-11-19 2021-02-05 北京沃东天骏信息技术有限公司 Live scene item sales data prediction method, training method of model and medium
JP2024006273A (en) * 2022-07-01 2024-01-17 株式会社 ディー・エヌ・エー System, method, and program for providing live distribution service
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

Citations (15)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
Title
出版直播营销中的风险与对策;叶璐;韦丽杉;;出版广角;20200630(12);全文 *
基于FTRL和XGBoost组合算法的电商销量预测***;钟小勇;;信息记录材料;20200101(01);全文 *

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