CN113409063A - Data processing method and device, electronic equipment and storage medium - Google Patents

Data processing method and device, electronic equipment and storage medium Download PDF

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CN113409063A
CN113409063A CN202010188291.7A CN202010188291A CN113409063A CN 113409063 A CN113409063 A CN 113409063A CN 202010188291 A CN202010188291 A CN 202010188291A CN 113409063 A CN113409063 A CN 113409063A
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price
target object
target
commodity
data
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辛燚
方璟
许明鑫
胡余润
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Alibaba Group Holding Ltd
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    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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    • G06Q50/12—Hotels or restaurants

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Abstract

The embodiment of the application provides a data processing method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring first target data; carrying out price analysis by adopting the first target data to obtain price suggestion information aiming at the first target object, and sending the price suggestion information to a client; when the confirmation message of the client aiming at the price suggestion information is received, the price of the first target object is updated, so that the price is modified in an online operation mode, a merchant can sense data and the price in real time, a competitive price advantage is provided, and the deal amount of the merchant is effectively increased.

Description

Data processing method and device, electronic equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for data processing, an electronic device, and a storage medium.
Background
With the rapid popularization and development of the internet, more and more users choose to carry out online shopping, for example, the users can order lodging rooms on the internet, and can compare the prices of products of a plurality of merchants on the internet while enjoying convenient and rapid services, so as to select good-quality and low-price commodities.
In the prior art, in order to provide a more competitive price for a user and highlight the price advantage of a product, the price of the product can be modified by a lower line and a lower line, but the mode lacks the online operation of a merchant, so that the merchant cannot sense data and the price in real time, and cannot provide the competitive price advantage.
Disclosure of Invention
In view of the above, it is proposed to provide a method and apparatus, an electronic device, a storage medium for data processing that overcome or at least partially solve the above problems, including:
a method of data processing, the method comprising:
acquiring first target data;
carrying out price analysis by adopting the first target data to obtain price suggestion information aiming at the first target object, and sending the price suggestion information to a client;
and updating the price of the first target object when a confirmation message of the client aiming at the price suggestion information is received.
Optionally, the price suggestion information includes a first commodity price, and the step of performing price analysis by using the first target data to obtain the price suggestion information for the first target object includes:
determining a first commodity price for a first target object according to the first target data;
generating price suggestion information for the first target object by adopting the first commodity price;
the step of updating the price of the first target object when receiving the confirmation message of the client for the price suggestion information comprises:
and updating the current commodity price of the first target object by adopting the first commodity price when receiving the confirmation message of the client aiming at the price suggestion information.
Optionally, the step of determining a first commodity price for the first target object according to the first target data comprises:
determining one or more first associated prices from the first target data;
respectively determining first user operation data corresponding to the one or more first associated prices;
determining a first commodity price for the first target object from the one or more first associated prices in accordance with the first user operation data.
Optionally, before the step of determining the first user operation data corresponding to the one or more first associated prices respectively, the method further includes:
determining a first other price using the one or more first associated prices;
judging whether the current commodity price of the first target object is higher than the first other price;
and if the current commodity price of the first target object is higher than the first other prices, executing the step of respectively determining the first user operation data corresponding to the one or more first associated prices.
Optionally, the method further comprises:
determining a price hold time for the first item price;
and when the price keeping duration is longer than the preset duration, restoring the current commodity price of the first target object to the original price.
Optionally, the first user operation data comprises any one or more of:
volume of transaction, exposure.
Optionally, the price suggestion information is used to generate a first recommendation interface in the client for displaying, and the confirmation message is generated by the client in response to an operation on a first target control in the first recommendation interface.
Optionally, the price suggestion information further comprises any one or more of:
a current commodity price of the first target object, a current commodity inventory of the first target object, a commodity attribute of the first target object.
Optionally, the first target object is a commodity object with a volume of volume lower than a first preset volume of volume.
A method of data processing, the method comprising:
receiving price suggestion information aiming at a first target object sent by a server side; the price suggestion information is obtained by acquiring first target data for the server side and analyzing the price by adopting the first target data;
displaying the price suggestion information;
responding to the first user operation, generating a confirmation message aiming at the price suggestion information, and sending the confirmation message to the server side; the server is used for updating the price of the first target object when receiving the confirmation message aiming at the price suggestion information.
Optionally, the step of displaying the price suggestion information includes:
and generating a first recommendation interface by adopting the price suggestion information, and displaying.
Optionally, the step of generating a confirmation message for the price suggestion information in response to the first user operation comprises:
and generating a confirmation message aiming at the price suggestion information in response to the operation of a first target control in the first recommendation interface.
A method of data processing, the method comprising:
receiving a price control request for a second target object; wherein the price control request is used for controlling price updating of the second target object;
acquiring second target data;
and updating the price of the second target object according to the price control request and the second target data.
Optionally, the step of updating the price of the second target object according to the price control request and the second target data includes:
determining a control price range corresponding to the price control request;
determining a second commodity price for the second target object according to the control price range and the second target data;
and updating the current commodity price of the second target object by adopting the second commodity price.
Optionally, before the step of determining the control price range corresponding to the price control request, the method further includes:
determining a control time range corresponding to the price control request;
judging whether the current time is within the control time range;
and if the current time is within the control time range, executing the step of determining the control price range corresponding to the price control request.
Optionally, the step of determining a second commodity price for the second target object according to the control price range and the second target data comprises:
determining, from the second target data, one or more second associated prices within the controlled price range;
respectively determining second user operation data corresponding to the one or more second associated prices;
and determining a second commodity price aiming at a second target object from the one or more second associated prices according to the second user operation data.
Optionally, before the step of determining the second user operation data corresponding to the one or more second associated prices respectively, the method further includes:
determining a second other price using the one or more second associated prices;
judging whether the current commodity price of the second target object is higher than the second other price;
and if the current commodity price of the second target object is higher than the second other prices, executing the step of respectively determining second user operation data corresponding to the one or more second associated prices.
Optionally, the second user operation data comprises any one or more of:
volume of transaction, exposure.
Optionally, the step of receiving a price control request for a second target object comprises:
providing a second recommendation interface aiming at a second target object to the client for displaying;
receiving a price control request aiming at the second target object sent by the client; and the price control request is generated by the client in response to the operation of a second target control in the second recommendation interface.
Optionally, the second target object is a commodity object with a volume of volume lower than a second preset volume of volume.
A method of data processing, the method comprising:
generating a price control request for a second target object in response to a second user operation; wherein the price control request is used for controlling price updating of the second target object;
sending the price control request to a server; and the server is used for acquiring second target data and updating the price of the second target object according to the price control request and the second target data.
Optionally, the step of generating a price control request for the second target object in response to the second user operation comprises:
acquiring a second recommendation interface for a second target object, and displaying the second recommendation interface;
and responding to the operation of a second target control in the second recommendation interface, and generating a price control request aiming at the second target object.
Optionally, the step of generating a price control request for the second target object in response to an operation of a second target control in the second recommendation interface includes:
responding to the operation of a second target control in the second recommendation interface, and displaying a price setting interface;
receiving a control price range input through the price setting interface;
generating a price control request for the second target object using the control price range.
Optionally, the step of generating a price control request for the second target object using the control price range includes:
displaying a time setting interface;
receiving a control time range input through the time setting interface;
and generating a price control request aiming at the second target object by combining the control time range and the control price range.
An apparatus for data processing, the apparatus comprising:
the first target data acquisition module is used for acquiring first target data;
the price suggestion information sending module is used for carrying out price analysis by adopting the first target data to obtain price suggestion information aiming at the first target object and sending the price suggestion information to a client;
and the first price updating module is used for updating the price of the first target object when receiving a confirmation message of the client aiming at the price suggestion information.
Optionally, the price suggestion information includes a first commodity price, and the price suggestion information sending module includes:
the first commodity price determining submodule is used for determining a first commodity price aiming at a first target object according to the first target data;
the price suggestion information generation submodule is used for generating price suggestion information aiming at the first target object by adopting the first commodity price;
the first price updating module comprises:
and the first commodity price updating submodule is used for updating the current commodity price of the first target object by adopting the first commodity price when receiving the confirmation message of the client aiming at the price suggestion information.
Optionally, the first item price determining submodule includes:
a first associated price determining unit, configured to determine one or more first associated prices from the first target data;
a first user operation data determining unit, configured to determine first user operation data corresponding to the one or more first associated prices respectively;
a first user operation data statistics unit, configured to determine, according to the first user operation data, a first commodity price for a first target object from the one or more first associated prices.
Optionally, the first item price determining sub-module further includes:
a first further price determining unit for determining a first further price using the one or more first associated prices;
a first price judging unit configured to judge whether or not a current commodity price of the first target object is higher than the first other price;
and the first execution unit is used for calling the first user operation data determination unit if the current commodity price of the first target object is higher than the first other price.
Optionally, the method further comprises:
the price holding duration determining module is used for determining the price holding duration of the price of the first commodity;
and the price recovery module is used for recovering the current commodity price of the first target object to the original price when the price keeping duration is longer than the preset duration.
Optionally, the first user operation data comprises any one or more of:
volume of transaction, exposure.
Optionally, the price suggestion information is used to generate a first recommendation interface in the client for displaying, and the confirmation message is generated by the client in response to an operation on a first target control in the first recommendation interface.
Optionally, the price suggestion information further comprises any one or more of:
a current commodity price of the first target object, a current commodity inventory of the first target object, a commodity attribute of the first target object.
Optionally, the first target object is a commodity object with a volume of volume lower than a first preset volume of volume.
An apparatus for data processing, the apparatus comprising:
the price suggestion information receiving module is used for receiving price suggestion information aiming at the first target object and sent by the server side; the price suggestion information is obtained by acquiring first target data for the server side and analyzing the price by adopting the first target data;
the price suggestion information display module is used for displaying the price suggestion information;
the first user operation response module is used for responding to the first user operation, generating a confirmation message aiming at the price suggestion information and sending the confirmation message to the server; the server is used for updating the price of the first target object when receiving the confirmation message aiming at the price suggestion information.
Optionally, the price suggestion information display module includes:
and the first recommendation interface generation submodule is used for generating a first recommendation interface by adopting the price suggestion information and displaying the first recommendation interface.
Optionally, the first user operation response module includes:
and the first operation response submodule is used for responding to the operation of a first target control in the first recommendation interface and generating a confirmation message aiming at the price suggestion information.
An apparatus for data processing, the apparatus comprising:
a price control request receiving module for receiving a price control request for a second target object; wherein the price control request is used for controlling price updating of the second target object;
the second target data acquisition module is used for acquiring second target data;
and the second price updating module is used for updating the price of the second target object according to the price control request and the second target data.
Optionally, the second price updating module comprises:
the control price range determining submodule is used for determining a control price range corresponding to the price control request;
a second commodity price determining submodule for determining a second commodity price for the second target object according to the control price range and the second target data;
and the second commodity price updating submodule is used for updating the current commodity price of the second target object by adopting the second commodity price.
Optionally, the second price updating module further comprises:
the control time range determining submodule is used for determining a control time range corresponding to the price control request;
the time range judging submodule is used for judging whether the current time is in the control time range;
and the second execution submodule is used for calling the control price range determination submodule if the current time is within the control time range.
Optionally, the second item price determination submodule includes:
a second associated price determining unit for determining one or more second associated prices within the control price range from the second target data;
a second user operation data determining unit, configured to determine second user operation data corresponding to the one or more second associated prices respectively;
a second commodity price determining unit configured to determine a second commodity price for a second target object from the one or more second associated prices according to the second user operation data.
Optionally, the second item price determining sub-module further includes:
a second other price determining unit for determining a second other price using the one or more second associated prices;
a second price judgment unit configured to judge whether the current commodity price of the second target object is higher than the second other price;
and the third execution unit is used for calling the second user operation data determination unit if the current commodity price of the second target object is higher than the second other price.
Optionally, the second user operation data comprises any one or more of:
volume of transaction, exposure.
Optionally, the price control request receiving module includes:
the second recommendation interface providing submodule is used for providing a second recommendation interface aiming at a second target object for the client to display;
the price control request acquisition sub-module is used for receiving a price control request which is sent by the client and aims at the second target object; and the price control request is generated by the client in response to the operation of a second target control in the second recommendation interface.
Optionally, the second target object is a commodity object with a volume of volume lower than a second preset volume of volume.
An apparatus for data processing, the apparatus comprising:
the second user operation response module is used for responding to the second user operation and generating a price control request aiming at the second target object; wherein the price control request is used for controlling price updating of the second target object;
the price control request sending module is used for sending the price control request to a server; and the server is used for acquiring second target data and updating the price of the second target object according to the price control request and the second target data.
Optionally, the second user operation response module includes:
the second recommendation interface display submodule is used for acquiring a second recommendation interface for a second target object and displaying the second recommendation interface;
and the second operation response submodule is used for responding to the operation of a second target control in the second recommendation interface and generating a price control request aiming at the second target object.
Optionally, the second operation response submodule includes:
the price setting interface display unit is used for responding to the operation of a second target control in the second recommendation interface and displaying a price setting interface;
the price range receiving unit is used for receiving the control price range input through the price setting interface;
and the price range setting unit is used for generating a price control request aiming at the second target object by adopting the control price range.
Optionally, the price range setting unit includes:
the time setting interface display subunit is used for displaying a time setting interface;
the time range receiving subunit is used for receiving the control time range input through the time setting interface;
and the price control request generation subunit is used for generating a price control request for the second target object by combining the control time range and the control price range.
An electronic device comprising a processor, a memory and a computer program stored on the memory and being executable on the processor, the computer program, when executed by the processor, implementing the steps of the method of data processing as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of data processing as set forth above.
The embodiment of the application has the following advantages:
in the embodiment of the application, the first target data is obtained, the first target data is adopted for carrying out price analysis, the price suggestion information for the first target object is obtained, the price suggestion information is sent to the client, and when the confirmation message of the client for the price suggestion information is received, the price of the first target object is updated, so that price modification is carried out in an online operation mode, a merchant can sense the data and the price in real time, a competitive price advantage is provided, and the transaction amount of the merchant is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the present application will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a flow chart of steps of a method of data processing according to an embodiment of the present application;
FIG. 2 is a trend graph of transaction amounts provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of a recommendation interface provided in an embodiment of the present application;
FIG. 4 is a schematic illustration of a confirm revaluation interface provided by an embodiment of the present application;
FIG. 5 is a flow chart of steps in another method of data processing provided by an embodiment of the present application;
FIG. 6 is a flow chart of steps in another method of data processing provided by an embodiment of the present application;
FIG. 7 is a flow chart of steps in another method of data processing provided by an embodiment of the present application;
FIG. 8 is a flow chart of steps in another method of data processing provided by an embodiment of the present application; (ii) a
FIG. 9 is a schematic diagram of a unmanaged interface provided by an embodiment of the present application;
FIG. 10 is a schematic diagram of a managed interface provided by an embodiment of the present application;
FIG. 11 is a schematic diagram of a prompt message provided in accordance with an embodiment of the present application;
FIG. 12 is a flow chart of steps in another method of data processing provided by an embodiment of the present application;
fig. 13 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
FIG. 14 is a block diagram of another data processing apparatus according to an embodiment of the present application;
FIG. 15 is a schematic diagram of another data processing apparatus according to an embodiment of the present application;
fig. 16 is a schematic structural diagram of another data processing apparatus according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a flowchart illustrating steps of a data processing method according to an embodiment of the present application is shown, which may specifically include the following steps:
step 101, acquiring first target data;
as an example, the first target data may include any one or more of:
marketing data of the platform of the user and marketing data of the third-party platform.
In the e-commerce platform, first target data can be obtained through a server of the e-commerce platform, and the first target data can be marketing data of the platform, such as commodity attributes, commodity transaction prices, current commodity prices, total commodity transaction amounts, the number of times that the commodities are browsed, commodity transaction time and the like.
For example, in the travel network transaction platform, a merchant may provide a service of hotel reservation or hotel apartment reservation in the platform, and the travel network transaction platform may record a location of a hotel, a type of a hotel room, a reservation price of the hotel, a settlement price of the hotel, and a settlement amount, and store the same as the first target data in a preset database.
As another example, in a second-hand commodity trading platform, a merchant may hang and sell a second-hand idle item (i.e., a first target object) in the platform and set a price autonomously. During the transaction process, the server side can record the current price, the transaction price and the transaction amount of the second-hand idle articles as the first target data storage.
In one example, as shown in fig. 2, the trend of the first target data may be shown by a bar graph and a line graph, for example, in a transaction amount trend graph, a daily transaction amount, an shi ratio, a co-business circle, or a grade index trend may be shown.
The first target data may be data for a product object already sold, or may be data for a product object that has not yet been sold, which is put on the platform.
102, carrying out price analysis by adopting the first target data to obtain price suggestion information aiming at the first target object, and sending the price suggestion information to a client;
as an example, the first target object may be a commodity object, and the commodity object may include a service or a good having a physical form, such as a service or a physical commodity sold through an e-commerce platform.
The first target object may be a commodity object having a volume of volume lower than a first preset volume of volume. For example, if the volume of the commodity sold by the merchant is poor and is less than the past volume or the average sales level of the same industry, the first preset volume corresponding to the first target object may be set.
The first preset volume may be an average sales volume of the first target object in a preset time, and may be calculated by dividing a total sales volume of the first target object by the number of the merchant objects, or the first preset volume may be any preset volume.
The price suggestion information can be used for generating a first recommendation interface in the client side for displaying; the price suggestion information may include a first item price, and the first item price may be a suggested selling price of the first target object determined by calculation using the first target data.
Specifically, after the first target data is obtained, price analysis may be performed on the first target data to obtain price suggestion information for the first target object, and the price suggestion information is sent to the client.
After receiving the price suggestion information, the client may generate and display a first recommendation interface using the price suggestion information, where the first recommendation interface may be as shown in fig. 3. The house type information (i.e. commodity attributes), the current real-time price (i.e. the current commodity price), the conversion rate-up ratio after price change, the commodity state, the hosting time and the operation control can be included in the first recommendation interface.
In practical applications, due to various considerations or reasons that the market price variation condition cannot be known in time, when setting the price, the price set by the merchant for the first target object is higher than the price of the same kind of commodity object in other shops or platforms (i.e. the price lose scene).
For example, in the travel trip network transaction platform a and the travel trip network transaction platform B, the same house type in the same hotel, the price in the platform a is higher than that in the platform B. As another example, in platform A, merchant A is priced higher than merchant B for the same house type of adjacent site. When the items are the same or similar, the buyer is susceptible to price and chooses to book the hotel in a lower price item, such as in platform B or in the shop of merchant B.
For another example, in the second-hand commodity transaction platform, since the merchant may be any user with a legal account, that is, the merchant may not have professional commercial knowledge, when the merchant prices the first target object, the price of the first target object does not have a price advantage due to a failure to timely know a market trend or a market general situation, for example, the price is priced too high relative to the same kind of commodity, so that the commodity attractiveness is reduced.
In specific implementation, the first target data of the platform itself or the third-party platform may be obtained, the first target data is used for calculation, the price beneficial for the first target object to be sold is determined, price suggestion information is generated, and a merchant is reminded to modify the price of the first target object.
As an example, the price suggestion information may include any one or more of:
a current commodity price of the first target object, a current commodity inventory of the first target object, and a commodity attribute of the first target object.
Specifically, while price suggestion information is generated by using the first commodity price, the current commodity inventory and the commodity attribute of the first target object may be added to the price suggestion information, and then the merchant may determine whether to adjust the price by comparing the current commodity price with the first commodity price and knowing the commodity inventory condition and the commodity attribute. For example, if the current item price is higher than the first item price and the inventory of the item is heavily backlogged, the merchant may adjust the current item price in order to increase the sales volume.
Step 103, when receiving the confirmation message of the client for the price suggestion information, performing price update on the first target object.
As an example, the confirmation message may be generated by the client in response to an operation of the first target control in the first recommendation interface.
After sending the price suggestion information to the client, the client may generate a first recommendation interface by using the price suggestion information, and the merchant may view the price suggestion information for the first target object through the first recommendation interface.
In practical application, the first recommendation interface may include a first target control, when it is determined that the price suggestion information is adopted, the merchant may click the first target control to confirm the price suggestion information, in response to an operation of the merchant on the first target control, the client may generate a confirmation message for the price suggestion information and send the confirmation message to the server, and after receiving the confirmation message, the client may update the price of the first target object.
For example, as shown in fig. 3, the first target control may be a "price change by one key" button, the client may display "current real-time price" and "today's suggested modification price" in the first recommendation interface, and "predicted conversion rate improvement ratio after changing price" predicted after adjusting the "current real-time price", and if the merchant agrees to change price, may click "price change by one key". In response to the merchant operation, the client may generate and send a confirmation message to the server.
Or, after the merchant clicks the "price change by one key" in fig. 3, the client may further display a confirmation price change interface as shown in fig. 4, so as to prevent misoperation. The merchant can click the 'confirm change price' button to confirm the change price, and the suggested change price and the valid time of the price can be displayed in the interface.
In the embodiment of the application, the first target data is obtained, the first target data is adopted for carrying out price analysis, the price suggestion information for the first target object is obtained, the price suggestion information is sent to the client, and when the confirmation message of the client for the price suggestion information is received, the price of the first target object is updated, so that price modification is carried out in an online operation mode, a merchant can sense the data and the price in real time, a competitive price advantage is provided, and the transaction amount of the merchant is effectively improved.
Referring to fig. 5, a flowchart illustrating steps of another data processing method according to an embodiment of the present application is shown, which may specifically include the following steps:
step 501, acquiring first target data;
in the e-commerce platform, first target data, such as parameters of a commodity, a commodity transaction price, a commodity total transaction amount, the number of times the commodity is browsed, commodity transaction time and the like, can be acquired through a server of the platform.
Step 502, determining a first commodity price for a first target object according to the first target data;
in practical applications, the first target data may include marketing data of multiple shops, and after the first target data is obtained, a first commodity price of the first target object may be determined according to the first target data, where the first commodity price may be lower or higher than a current commodity price of the first target object.
Specifically, since merchants of different shops set different sales prices for the same or similar commodity objects, different transaction amounts can be obtained, and a first commodity price with a sales advantage can be determined through the first target data, that is, when the price is the first commodity price, in the same type or similar type of transaction, the transaction proportion number can be greater than a preset threshold value.
In an embodiment of the present application, step 502 may include the following sub-steps:
substep 11, determining one or more first associated prices from said first target data;
in practice, one or more first associated prices for the first target object may be determined from the first target data.
As an example, the first associated price may be a sale price of an associated merchandise object of the first target object, and the associated merchandise object may be merchandise having the same or similar parameters as the first target object.
For example, the first target object is a room in hotel A, and other merchants are assigned to other rooms (i.e., associated merchandise objects) in the same hotel that are of the same room typeThe objects are respectively provided with a price P1Price P2… … price PNThen price P1Price P2… … price PNIs the first associated price for the first target object.
For another example, the first target object may be a double bed room in hotel a in S city, the first target object may have article attributes "S city", "hotel a", and "double bed room", the associated article object may be a double bed room in a hotel of S city in the same level as hotel a, and the hotel reservation price set for the associated object may be a first associated price of the first target object.
When the first associated price is obtained from the first target data, the first target data may be screened by using the commodity attribute corresponding to the first target object, and the associated commodity object including one or more commodity attributes and the corresponding price are obtained to determine the first associated price.
Substep 12, determining first user operation data corresponding to the one or more first associated prices respectively;
as an example, the first user operation data may comprise any one or more of:
volume of transaction, exposure.
The volume may be the total transaction volume of the commodity corresponding to the first associated price, or the transaction volume within a preset time; the exposure amount may be the number of times the commodity object corresponding to the first associated price is viewed. The degree of attention of the purchaser object to the commodity object can be reflected by the first user operation data.
In a specific implementation, a corresponding relationship between the first associated price and the first user operation data may be preset, and the server may update the first user operation data corresponding to the first associated price according to a preset time interval. After determining one or more first associated prices of the first target object, the first user operation data corresponding to each first associated price may be determined from the preset corresponding relationship, respectively.
The first user operation data may be data for a sold product or past history data of an unsold product released on the platform.
For example, merchant a released "competitive bunk bed" (first target object) in hotel a, priced 100 yuan/night, had 458 exposures in the month, and had a volume of 3 deals per day; the merchant B issues a 'competitive big bed room' (related objects) in the same hotel, the price is set to 95 Yuan/night, the exposure is 867 times in the month, and the volume of the transaction is 10 per day. "95 yuan/night" may be determined as the first associated price, and the volume of the transaction and the exposure amount 867 times per day may be determined as the first user operation data.
In an embodiment of the present application, before sub-step 12, the following steps may be further included:
determining a first other price using the one or more first associated prices; judging whether the current commodity price of the first target object is higher than the first other price; if the current commodity price of the first target object is higher than the first other price, substep 12 is performed.
As an example, the first other price may include any one of:
the average value of the first associated price, the maximum value of the first associated price, the minimum value of the first associated price and the median of the first associated price.
In practical applications, due to various considerations or failure to know the market price variation in time, when setting the price of a commodity, a merchant may set a higher price (i.e. a price lose scene) for the same commodity sold at different shops or different platforms, and when purchasing the commodity, a buyer is more willing to select a lower price for the same or similar commodities, which may result in a decrease in sales of the commodity object set with the higher price.
Based on this, one or more first associated prices can be adopted to determine a first other price, the current commodity price of the first target object is obtained, whether the current commodity price is greater than the first other price or not is judged, if the current commodity price of the first target object is greater than the first other price, the substep 12 can be further executed, and the mode of adjusting the current commodity price is determined; if the current price of the first target object is not higher than the first other price, the current commodity price may not be adjusted.
In particular implementations, when the first target object does not have other identical or similar goods, such as the first target object being unique in the platform, the first associated price and the first other price may be the current goods price of the first target object.
When there are a plurality of first associated prices, an average value of the plurality of first associated prices may be calculated to obtain the first other price, or a weighted average value of the first associated prices may be calculated after determining a weight of each first associated price according to first user operation data corresponding to the first associated prices. Alternatively, the plurality of first associated prices may be ranked, and the first other price may be determined from the ranked plurality of first associated prices.
Specifically, the first other price may be one commodity price obtained through statistics after a plurality of first associated prices are integrated, the first other price may be used as a price setting reference factor of the first target object in the platform, and by determining a relationship between the current commodity price of the first target object and the first other price, it may be determined whether the current commodity price of the first target object needs to be modified.
When comparing the current commodity price of the first target object with the first other price, if the current commodity price of the first target object is higher than the first other price, it may be determined that the current commodity price of the first target object is compared with the price of the same commodity object or the similar commodity object, and does not have a price advantage or has a smaller price advantage, and the current commodity price may be further adjusted.
In another example, if the current commodity price of the first target object is less than the first other price, the current commodity price of the first target object may be determined to be a low price, and the current commodity price may be adjusted within a preset range, so as to achieve an effect of further improving the profit margin of the first target object without damaging the benefit of the buyer object.
Substep 13, determining a first commodity price for the first target object from said one or more first associated prices according to said first user operation data.
In practical applications, a first commodity price of the first target object may be determined from the one or more first associated prices according to the first user operation data.
Specifically, the first user operation data may be sorted in descending order from large to small, a first user operation data is obtained from one or more sorted first user operation data, a first associated price corresponding to the first user operation data is determined, and the first associated price is determined as a first commodity price of the first target object.
For example, the boutique big bed room a has two first associated prices, which are 95 yuan/night for the boutique big bed room B and 60 yuan/night for the boutique big bed room C, respectively, where the volume of the boutique big bed room B is 10 units per day and the volume of the boutique big bed room C is 4 units per day, 95 yuan/night may be determined as the first commodity price.
Step 503, generating price suggestion information for the first target object by using the first commodity price, and sending the price suggestion information to a client;
after the first commodity price is determined, price suggestion information for the first target object can be generated by adopting the first commodity price, and the price suggestion information is sent to the client to remind a merchant of modifying the price.
Through with first commodity price propelling movement to customer end, can remind the trade company according to market conditions, in time adjust the price of first target object, guarantee that first target object's high efficiency is revealed.
Step 504, when receiving the confirmation message of the client for the price suggestion information, updating the current commodity price of the first target object by using the first commodity price.
After sending the price suggestion information to the client, the client may generate a first recommendation interface by using the price suggestion information, the merchant may view the price of the first commodity through the first recommendation interface, the merchant may click an operation control in the first recommendation interface to confirm the price of the first commodity, and in response to the operation of the merchant, the client may return a confirmation message for the price suggestion information. After receiving the confirmation message, the price of the first commodity price object may be updated, and the current price of the first target object may be adjusted to the first commodity price.
In an embodiment of the present application, the method may further include the steps of:
determining a price hold time for the first item price; and when the price keeping duration is longer than the preset duration, restoring the current commodity price of the first target object to the original price.
As an example, the original price may be a price before the price of the first target object is adjusted using the price suggestion information.
In practical application, after the current commodity price of the first target object is adjusted to the first commodity price, the price keeping duration corresponding to the first commodity price can be determined, and when the price keeping duration is longer than the preset duration, the current price of the first commodity is restored to the original price; if the price keeping duration is less than the preset duration, the current price of the first target object can be kept.
The price of the merchandise items may fluctuate, for example, for a booking service in a hotel or hotel, during a travel peak season the price may be set to a high price (e.g., above the average price throughout the year by a predetermined range), during a travel off season the price may be set to a low price (e.g., below the average price throughout the year by a predetermined range), or for a promotional campaign, a price below a predetermined price threshold may be offered for the merchandise in a short period of time.
In a specific implementation, a preset duration may be set for the first commodity price, and when the price keeping duration of the first commodity price is longer than the preset duration, the current commodity price of the first target object may be restored to the original price.
For example, if the original price of the first target object is a, the price of the first commodity recommended by the server is b, the valid period of the price of the first commodity is set to 1 day by the merchant, and in response to the operation of the merchant, the client may send a preset duration setting message to the server of the platform, and the server of the platform may set the preset duration to 24 hours, and when the time exceeds 24 hours, the price b is recovered to the price a.
In practical applications, different price holding durations are set for different price intervals, for example, if the variation range of the first commodity price relative to the current commodity price is greater than the first range threshold, the first price holding duration may be set, and if the variation range of the first commodity price relative to the current commodity price is less than the first range threshold, the second price holding duration may be set, and the first price holding duration may be less than the second price holding duration. Of course, the same price holding time period may also be set for all the first article prices.
In the embodiment of the application, the first commodity price aiming at the first target object is determined according to the first target data, the first commodity price is adopted to generate the price suggestion information aiming at the first target object, the price suggestion information is sent to the client, and when the confirmation message of the client aiming at the price suggestion information is received, the first commodity price is adopted to update the current commodity price of the first target object, so that the commodity price is modified by a merchant in an online operation mode, the communication cost and the home cost of business expansion are reduced, in addition, the commodity price can be adjusted by combining the marketing data of a plurality of shops of a platform, the price competition advantage is provided for the merchant in time, and the transaction amount of the merchant is effectively improved.
Referring to fig. 6, a flowchart illustrating steps of another data processing method according to an embodiment of the present application is shown, which may specifically include the following steps:
601, receiving price suggestion information aiming at a first target object sent by a server; the price suggestion information is obtained by acquiring first target data for the server side and analyzing the price by adopting the first target data;
step 602, displaying the price suggestion information;
in an embodiment of the present application, step 602 may include the following sub-steps:
and generating a first recommendation interface by adopting the price suggestion information, and displaying.
Step 603, responding to the first user operation, generating a confirmation message aiming at the price suggestion information, and sending the confirmation message to the server; the server is used for updating the price of the first target object when receiving the confirmation message aiming at the price suggestion information.
In an embodiment of the present application, the step of generating a confirmation message for the price suggestion information in response to the first user operation may include the sub-steps of:
and generating a confirmation message aiming at the price suggestion information in response to the operation of a first target control in the first recommendation interface.
In the embodiment of the application, price suggestion information aiming at a first target object and sent by a server is received, the price suggestion information is obtained by the server through price analysis of the first target data, the price suggestion information is displayed, a confirmation message aiming at the price suggestion information is generated in response to the operation of a first user and sent to the server, and when the server receives the confirmation message aiming at the price suggestion information, the price of the first target object is updated, so that price modification is realized through an online operation mode, a merchant can sense data and price in real time, a competitive price advantage is provided, and the transaction amount of the merchant is effectively improved.
Referring to fig. 7, a flowchart illustrating steps of another data processing method according to an embodiment of the present application is shown, which may specifically include the following steps:
step 701, receiving a price control request for a second target object; wherein the price control request is used for controlling price updating of the second target object;
as an example, the second target object may be a commodity object, and the commodity object may include a service or a good having a physical form, such as a service or a physical commodity sold on an e-commerce platform.
The second target object may be a commodity object with a volume of volume lower than a second preset volume of volume, for example, if the volume of the commodity is poor when the commodity is sold by the merchant and is less than the past volume of volume in the same period or the average volume level of volume in the same industry, the second preset volume of volume corresponding to the second target object may be set.
The price control request may be a price hosting request, according to which price updates may be made to the second target object.
In the e-commerce platform, due to various considerations or reasons that the market price change condition cannot be known in time, when the commodity price is set, a merchant sets a higher price for the same commodity sold in different shops or different platforms, so that the competitiveness of a second target object with a higher price is poorer compared with a commodity object with a lower price of the same kind.
In a specific implementation, in order to adjust the price of the second target object in time, the merchant may send a price control request through the client to perform price hosting on the second target object, and in response to an operation of the merchant, the client may send a price control request to the server of the platform to control the price hosting on the second target object, and update the price of the second target object in time.
Step 702, acquiring second target data;
as an example, the second target data may include any one or more of:
marketing data of the platform of the user and marketing data of the third-party platform.
In the electronic platform, after a price control request for a second target object is received, second target data can be obtained through the server, and price management is carried out on the second target object based on the second target data. The second target data may be marketing data of the platform, such as commodity attributes, commodity transaction prices, commodity total volume, number of times that the commodity is browsed, commodity transaction time, and the like.
For example, in the travel network transaction platform, a service of hotel reservation or hotel apartment reservation is provided in the platform for a merchant object, the travel network transaction platform may record a location of a hotel, a type of a hotel room, a hotel reservation price, a hotel transaction price and a transaction amount, store the location as second target data in a preset database, and obtain the second target data from the database after receiving a price control request.
As another example, in a second-hand commodity trading platform, a second-hand idle item (i.e., a second target object) may be hung in the platform and the price set by the merchant object autonomously. During the transaction process, the server side can record the current price, the transaction price and the transaction amount of the second-hand idle articles as second target data for storage.
The second target data may be data for a sold product or may be an unsold product that is put on the platform.
Step 703, updating the price of the second target object according to the price control request and the second target data.
After the second target data is obtained, the price of the second target object may be updated in conjunction with the price control request and the second target data. The second commodity price may be lower or higher than the current commodity price of the second target object
In practical application, the second target data may include marketing data of multiple shops, and after the second target data is obtained, the second target data may be analyzed to obtain corresponding relationships between different selling prices and volume of transaction, and the volume of transaction may be arranged in descending order from large to small to obtain one or more prices corresponding to the volume of transaction, and the second target object may be subjected to price updating in combination with one or more price and price control requests.
For example, since different merchants set different selling prices for the same or similar commodity objects, different transaction amounts can be obtained, in practice, a second commodity price with a deal advantage can be determined through the second target data, that is, when the price is the second commodity price, in the same type or similar type of transaction, the transaction deal percentage number can be greater than a preset threshold value.
In the embodiment of the application, by receiving the price control request for the second target object, the price control request can be used for controlling price updating of the second target object, the second target data is obtained, price updating is performed on the second target object according to the price control request and the second target data, automatic price escrow by online operation is realized, the price of a commodity can be automatically changed, the current price of the commodity is adjusted to be more competitive price in real time by referring to marketing data of shops in a platform, the transaction amount of the merchant is effectively increased, and by automatic price escrow, the merchant does not need to communicate with platform staff for many times and repeatedly modify the price, so that the operating cost of the merchant is reduced.
Referring to fig. 8, a flowchart illustrating steps of another data processing method according to an embodiment of the present application is shown, which may specifically include the following steps:
step 801, providing a second recommendation interface for a second target object to the client for displaying;
as an example, the second recommendation interface may include any one or more of the following items of information:
a current item price of the second target object, a current item inventory of the second target object, and an item attribute of the second target object.
In the e-commerce platform, due to various considerations or reasons that the market price change condition cannot be known in time, when setting the price of a commodity object, a merchant may set a higher price for the same commodity object sold in different shops or different platforms, resulting in a poorer competitive power of a second target object having a higher price compared to a commodity object having a lower price of the same kind.
In practical application, the price of the second target object can be automatically updated through the server, so that competitive price is provided. Specifically, a second recommendation interface for a second target object may be provided to the client, and the client may display the second recommendation interface.
For example, a second recommendation interface as shown in fig. 3 may be provided to the client, in which the house type information (i.e., commodity attributes), the current real-time price (i.e., the current commodity price), the today's suggested modification price, the after-added expected conversion boost ratio, the state information, the hosting time, and the operation control may be included.
Step 802, receiving a price control request for the second target object sent by the client; the price control request is generated by the client in response to the operation of a second target control in the second recommendation interface;
in a specific implementation, the second recommendation interface may include a second target control, and the second target control may be operated when the merchant determines to perform price escrow. In response to the operation of the merchant on the second target control, the client may generate a price control request and send the price control request to the server, and then the server may receive the price control request for the second target object.
For example, as shown in fig. 3, the second target control may be an "automatic hosting" button, and taking the second target object as a "big bed" as an example, when the merchant determines to host a price for the "big bed", the "automatic hosting" button corresponding to the big bed may be clicked, and in response to an operation of the merchant, the client may generate a price control request and send the price control request to the server.
In an example, a "cancel escrow" button may also be provided in the second recommendation interface, and when the merchant clicks the button, the client may display a cancel escrow interface as shown in fig. 9, and the merchant may cancel escrow for the commodity object that has undergone price escrow.
Step 803, acquiring second target data;
step 804, determining a control time range corresponding to the price control request;
after the second target data is obtained, the control time range corresponding to the price control request can be determined by combining the preset corresponding relation.
In practical use, the client may display a time setting interface, and the merchant may set a control time range of the price control request for the second target object in advance in the time setting interface, and the service end may automatically manage the price of the second target object within the control time range.
The merchant may set different control time ranges for different second target objects, for example, the control time range may be set to a first control time range for second target objects whose price change frequency and amplitude are greater than a preset threshold, and the control time range may be set to a second control time range for second target objects whose price change frequency and amplitude are less than the preset threshold, and the first control time range may be less than the second control time range. Alternatively, the same control time range may be set for all the second article prices.
Specifically, the control time range of the second target object may be set to be within several hours, for example, 72 hours, or may be selected through a calendar.
Step 805, judging whether the current time is within the control time range;
after determining the control time range, the current time may be obtained and it may be determined whether the current time is within the control time range.
Step 806, if the current time is within the control time range, determining a control price range corresponding to the price control request;
in a specific implementation, when a merchant places a price through a server, a control price range can be set for a second target object, and if the current time is within the control time range, the control price range can be further determined; if the current time is not within the control time range, the price of the second target object may not be automatically hosted.
In practical application, after the second target control is operated, in response to the operation of the second target control by the merchant, the client may display a price setting interface, the merchant may input a control price range in the price setting interface, and the client may generate a price control request for the second target object by using the control price range.
When the control price range is input, the preset percentage can be adjusted on the basis of the original price, for example, the original price is a, and the price hosting range can be [ a × 80%, a × 95%) ]; alternatively, the control price range interval size, e.g., [ b, c ], may be set directly.
In an example, when the price control request is generated by using the control price range, the time setting interface may be displayed, and after the merchant inputs the control price range, the merchant may also input the control time range in the time setting interface, so that the client may generate the price control request by combining the control time range and the control price range.
For example, after clicking the "big bed room" corresponding to the second target control, the client may display an interface as shown in fig. 10, which may include a price setting interface and a time setting interface, and the merchant may modify the "managed price setting" (i.e., the controlled price range in the present application), fill the percentages in the text boxes of the upper limit setting and the lower limit setting, and select the calendar, for example, selecting "2020-2-13 to 2020-2-14" to modify the controlled time range.
In an example, when the control price range is modified, a mouse hover operation may be performed on the "view hint" to display a hint information as shown in fig. 11, and the merchant may set the hint information.
After the modification is completed, the merchant can click 'confirm escrow', and in response to the merchant operation, the client can adopt the control time range and the control price range to generate a price control request and send the price control request to the server.
Step 807, determining a second commodity price for the second target object according to the control price range and the second target data;
after the second target data is obtained, a second commodity price for the second target object may be determined in conjunction with the control price range and the second target data.
In practical application, the second target data may include marketing data of multiple shops, and after the second target data is obtained, the second target data may be analyzed to obtain corresponding relations between different sales prices and volume of transaction, and the volume of transaction may be arranged in descending order from large to small to obtain one or more prices from the one or more prices, and the price and the control price range are combined to determine the price of the second commodity.
In an embodiment of the present application, step 807 may include the following sub-steps:
a substep 21 of determining, from said second target data, one or more second associated prices within said controlled price range;
in practice, one or more second associated prices within the control price range may be determined from the second target data.
As an example, the second associated price may be a sale price of an associated merchandise object of the second target object within the control price range, and the associated merchandise object may be a merchandise object having the same or similar parameters as the second target object.
For example, the second target object is a room in Hotel A with a price escrow range of [ a, b ]]For other rooms (i.e. associated commodity objects) of the same room type in the same hotel, the prices P are set for the other merchant objects respectively1Price P2… … price PNWherein the price P1Price P2And price P3In [ a, b ]]Within range, then price P1Price P2And price P3A second associated price for a second target object.
When the second associated price is obtained from the second target data, the second target data can be screened according to the commodity attributes corresponding to the second target object, the associated object comprising one or more commodity attributes and the corresponding price are obtained, and whether the associated object is in the control price range or not is judged to determine the second associated price.
Substep 22, determining second user operation data corresponding to the one or more second associated prices respectively;
as an example, the second user operation data may include any one or more of:
volume of transaction, exposure.
The volume may be the total transaction volume of the commodity object corresponding to the second associated price, or the transaction volume within a preset time; the exposure amount may be the number of times that the commodity object corresponding to the second associated price is viewed. The degree of interest of the buyer object in the price can be reflected by the second user operation data.
In a specific implementation, a corresponding relationship between the second associated price and the second user operation data may be preset, and the server may update the second user operation data corresponding to the second associated price according to a preset time interval. After determining one or more second associated prices of the second target object, second user operation data corresponding to each second associated price may be determined from the preset corresponding relationship, respectively.
The second user operation data may be data for a sold product or past history data of an unsold product distributed on the platform.
For example, the merchant sets a price escrow range of [95,105], issues a "boutique bunk" (second target object) in Hotel A, pricing 100 Yuan/night, 458 exposures in the month, and volume of 3 per day; the merchant B issues a 'competitive big bed room' (related objects) in the same hotel, the price is set to 95 Yuan/night, the exposure is 867 times in the month, and the volume of the transaction is 10 per day. "95 yuan/night" may be determined as the second associated price, and the volume of the transaction and the exposure amount 867 times per day may be determined as the second user operation data.
In an embodiment of the present application, before the sub-step 22, the following steps may be further included:
determining a second other price using the one or more second associated prices; judging whether the current commodity price of the second target object is higher than the second other price; if the current price of the item of the second target object is higher than the second other price, substep 22 is performed.
As an example, the second other price may include any of:
the average value of the second associated price, the maximum value of the second associated price, the minimum value of the second associated price and the median of the second associated price.
In practical applications, due to various considerations or failure to know the market price variation in time, when setting the price of a commodity, the merchant object sets a higher price (i.e. a price lose scene) for the same commodity sold at different shops or different platforms, and when purchasing the commodity, the buyer object prefers to select a lower price for the same or similar commodities, which may result in a decrease in sales of the commodity object set with the higher price.
For example, in the second-hand commodity transaction platform, since the merchant may be any user with a legal account, that is, the merchant may not have professional commercial knowledge, when pricing the second target object, the merchant may not know the market trend or the overall situation of the market in time, so that the price of the second target object does not have price advantage, for example, the price is priced too high relative to the same kind of commodity, so that the commodity attractiveness is reduced.
Based on this, one or more second associated prices may be used to determine a second other price, and determine whether the current item price is greater than the second other price, if the current item price of the second target object is greater than the second other price, substep 22 may be further performed to determine the manner in which to adjust the current item price; if the current price of the second target object is not higher than the second other price, the current commodity price may not be adjusted.
In particular implementations, the second merchant associated price and the second merchant other price may be a current price of the item of the second target object when the second target object does not have other identical or similar item objects, such as the second target object being unique in the platform.
When there are a plurality of second associated prices, the average value of the second associated prices may be calculated to obtain the second other prices, or the weighted average value of the second associated prices may be calculated after determining the weight of each second associated price according to the second user operation data corresponding to the second associated prices. For another example, the plurality of second associated prices may be ranked to determine a first other price from the ranked plurality of first associated prices.
After obtaining the one or more associated prices, a first other price may be determined. Specifically, the second other price may be a commodity price obtained by statistics after a plurality of second associated prices are integrated, the second other price may be used as a price setting reference factor of the second target object in the platform, and by determining a relationship between the current commodity price of the second target object and the second other price, it may be determined whether the current price of the second target object needs to be modified.
When the current commodity price of the second target object is compared with the second other price, if the current commodity price of the second target object is higher than the second other price, it can be determined that the current commodity price of the second target object is compared with the prices of the same commodity object or the similar commodity object, and the current commodity price is further adjusted if the current commodity price of the second target object does not have price advantage or has smaller price advantage.
In another example, if the current commodity price of the second target object is less than the second other price, the current commodity price of the first target object may be determined to be a low price, and the current commodity price of the second target object may be adjusted within a preset range, so as to further improve the profit margin of the second target object without damaging the benefit of the buyer object.
Substep 23, determining a second commodity price for the second target object from said one or more second associated prices according to said second user operation data.
In practical applications, the second commodity price of the first target object may be determined from the one or more second associated prices according to the second user operation data.
Specifically, the second user operation data may be arranged in descending order from large to small, one second user operation data is obtained from one or more second user operation data after the ordering, a first associated price corresponding to the first user operation data is determined, and the first associated price is determined as a first commodity price of the first target object.
And 808, updating the current commodity price of the second target object by adopting the second commodity price.
After determining the second item price, the current item price for the second target object may be automatically updated with the second item price.
For example, if the current item price of the second target object is a and the second item price is b, the item price of the second target object may be adjusted to b.
The current commodity price of the second target object is updated by adopting the second commodity price, so that the price of the second target object can be adjusted in time according to market conditions, and the high-efficiency release of the second target object is ensured.
In the embodiment of the application, a second recommendation interface for a second target object is provided for a client for display, a price control request for the second target object sent by the client is received, the price control request can be generated by the client in response to an operation on a second target control in the second recommendation interface, second target data is obtained, a control time range corresponding to the price control request is determined, whether the current time is within the control time range or not is judged, if the current time is within the control time range, a control price range corresponding to the price control request is determined, a second commodity price for the second target object is determined according to the control price range and the second target data, automatic price escrow by using online operation is realized, the commodity price can be automatically changed, and the commodity price can be adjusted according to the control price range and the control time range set by a merchant, the price competition advantage is improved, the price of the commodity can be automatically adjusted according to the desire of the merchant, the merchant does not need to communicate with platform workers for many times, and the communication cost and the home cost of business expansion are reduced.
Referring to fig. 12, a flowchart illustrating steps of another data processing method according to an embodiment of the present application is shown, which may specifically include the following steps:
step 1201, responding to a second user operation, generating a price control request aiming at a second target object; wherein the price control request is used for controlling price updating of the second target object;
in an embodiment of the present application, step 1202 may include the following sub-steps:
substep 31, acquiring a second recommendation interface for a second target object, and displaying the second recommendation interface;
substep 32, in response to an operation of a second target control in the second recommendation interface, generating a price control request for the second target object.
In an embodiment of the present application, the sub-step 32 may include the following sub-steps:
substep 321, responding to the operation of a second target control in the second recommendation interface, and displaying a price setting interface;
substep 322, receiving a control price range input through the price setting interface;
a substep 323 of generating a price control request for said second target object using said controlled price range.
In an embodiment of the present application, the sub-step 323 may include the following sub-steps: displaying a time setting interface; receiving a control time range input through the time setting interface; and generating a price control request aiming at the second target object by combining the control time range and the control price range.
Step 1202, sending the price control request to a server; and the server is used for acquiring second target data and updating the price of the second target object according to the price control request and the second target data.
In the embodiment of the application, a price control request for a second target object is generated in response to a second user operation, the price control request can be used for controlling price updating of the second target object, the price control request is sent to a server, the server acquires second target data, and price updating is carried out on the second target object according to the price control request and the second target data, so that automatic price hosting is carried out by adopting online operation, the price of a commodity can be automatically changed, the current price of the commodity is adjusted to a price with a competitive advantage in real time by referring to marketing data of shops in a platform, the transaction amount of a merchant is effectively increased, and the merchant does not need to communicate with platform workers for many times and repeatedly modify the price through automatic price hosting, so that the operating cost of the merchant is reduced.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.
Referring to fig. 13, a schematic structural diagram of a data processing apparatus provided in an embodiment of the present application is shown, which may specifically include the following modules:
a first target data obtaining module 1301, configured to obtain first target data;
a price suggestion information sending module 1302, configured to perform price analysis by using the first target data to obtain price suggestion information for the first target object, and send the price suggestion information to a client;
and the first price updating module 1303 is configured to update the price of the first target object when receiving a confirmation message of the client for the price suggestion information.
In an embodiment of the present application, the price suggestion information includes a first commodity price, and the price suggestion information sending module 1302 includes:
the first commodity price determining submodule is used for determining a first commodity price aiming at a first target object according to the first target data;
the price suggestion information generation submodule is used for generating price suggestion information aiming at the first target object by adopting the first commodity price;
the first price updating module 1303 includes:
and the first commodity price updating submodule is used for updating the current commodity price of the first target object by adopting the first commodity price when receiving the confirmation message of the client aiming at the price suggestion information.
In an embodiment of the present application, the first item price determining sub-module includes:
a first associated price determining unit, configured to determine one or more first associated prices from the first target data;
a first user operation data determining unit, configured to determine first user operation data corresponding to the one or more first associated prices respectively;
a first user operation data statistics unit, configured to determine, according to the first user operation data, a first commodity price for a first target object from the one or more first associated prices.
In an embodiment of the present application, the first item price determining sub-module further includes:
a first further price determining unit for determining a first further price using the one or more first associated prices;
a first price judging unit configured to judge whether or not a current commodity price of the first target object is higher than the first other price;
and the first execution unit is used for calling the first user operation data determination unit if the current commodity price of the first target object is higher than the first other price.
In an embodiment of the present application, the apparatus further includes:
the price holding duration determining module is used for determining the price holding duration of the price of the first commodity;
and the price recovery module is used for recovering the current commodity price of the first target object to the original price when the price keeping duration is longer than the preset duration.
In an embodiment of the application, the first user operation data includes any one or more of:
volume of transaction, exposure.
In an embodiment of the application, the price suggestion information is used for generating a first recommendation interface in the client for displaying, and the confirmation message is generated by the client in response to an operation on a first target control in the first recommendation interface.
In an embodiment of the application, the price suggestion information further includes any one or more of:
a current commodity price of the first target object, a current commodity inventory of the first target object, a commodity attribute of the first target object.
In an embodiment of the present application, the first target object is a commodity object with a volume of volume lower than a first preset volume of volume.
In the embodiment of the application, the first target data is obtained, the first target data is adopted for carrying out price analysis, the price suggestion information for the first target object is obtained, the price suggestion information is sent to the client, when the confirmation message of the client for the price suggestion information is received, the price of the first target object is updated, the commodity price is modified by a merchant in an online operation mode, the merchant does not need to communicate with platform workers for many times, the communication cost and the home cost of business expansion are reduced, the merchant can timely know the price change condition and adjust the price through confirming the price suggestion information by the merchant, the price with competitive advantage is displayed in real time, and the transaction amount of the merchant is effectively increased.
Referring to fig. 14, a schematic structural diagram of another data processing apparatus provided in an embodiment of the present application is shown, which may specifically include the following modules:
a price suggestion information receiving module 1401, configured to receive price suggestion information for the first target object sent by the server; the price suggestion information is obtained by acquiring first target data for the server side and analyzing the price by adopting the first target data;
a price suggestion information display module 1402, configured to display the price suggestion information;
a first user operation response module 1403, configured to generate, in response to a first user operation, a confirmation message for the price suggestion information, and send the confirmation message to the server; the server is used for updating the price of the first target object when receiving the confirmation message aiming at the price suggestion information.
In an embodiment of the present application, the price suggestion information display module 1402 includes:
and the first recommendation interface generation submodule is used for generating a first recommendation interface by adopting the price suggestion information and displaying the first recommendation interface.
In an embodiment of the present application, the first user operation response module 1403 includes:
and the first operation response submodule is used for responding to the operation of a first target control in the first recommendation interface and generating a confirmation message aiming at the price suggestion information.
In the embodiment of the application, price suggestion information aiming at a first target object and sent by a server is received, the price suggestion information is obtained by the server through price analysis of the first target data, the price suggestion information is displayed, a confirmation message aiming at the price suggestion information is generated in response to the operation of a first user and sent to the server, and when the server receives the confirmation message aiming at the price suggestion information, the price of the first target object is updated, so that price modification is realized through an online operation mode, a merchant can sense data and price in real time, a competitive price advantage is provided, and the transaction amount of the merchant is effectively improved.
Referring to fig. 15, a schematic structural diagram of another data processing apparatus provided in an embodiment of the present application is shown, which may specifically include the following modules:
a price control request receiving module 1501, configured to receive a price control request for a second target object; wherein the price control request is used for controlling price updating of the second target object;
a second target data obtaining module 1502, configured to obtain second target data;
a second price updating module 1503, configured to update the price of the second target object according to the price control request and the second target data.
In an embodiment of the present application, the second price updating module 1503 includes:
the control price range determining submodule is used for determining a control price range corresponding to the price control request;
a second commodity price determining submodule for determining a second commodity price for the second target object according to the control price range and the second target data;
and the second commodity price updating submodule is used for updating the current commodity price of the second target object by adopting the second commodity price.
In an embodiment of the present application, the second price updating module 1503 further includes:
the control time range determining submodule is used for determining a control time range corresponding to the price control request;
the time range judging submodule is used for judging whether the current time is in the control time range;
and the second execution submodule is used for calling the control price range determination submodule if the current time is within the control time range.
In an embodiment of the present application, the second item price determining sub-module includes:
a second associated price determining unit for determining one or more second associated prices within the control price range from the second target data;
a second user operation data determining unit, configured to determine second user operation data corresponding to the one or more second associated prices respectively;
a second commodity price determining unit configured to determine a second commodity price for a second target object from the one or more second associated prices according to the second user operation data.
In an embodiment of the application, the second item price determining sub-module further includes:
a second other price determining unit for determining a second other price using the one or more second associated prices;
a second price judgment unit configured to judge whether the current commodity price of the second target object is higher than the second other price;
and the third execution unit is used for calling the second user operation data determination unit if the current commodity price of the second target object is higher than the second other price.
In an embodiment of the application, the second user operation data comprises any one or more of:
volume of transaction, exposure.
In an embodiment of the present application, the price control request receiving module includes:
the second recommendation interface providing submodule is used for providing a second recommendation interface aiming at a second target object for the client to display;
the price control request acquisition sub-module is used for receiving a price control request which is sent by the client and aims at the second target object; and the price control request is generated by the client in response to the operation of a second target control in the second recommendation interface.
In an embodiment of the application, the second target object is a commodity object with a volume of volume lower than a second preset volume of volume.
In the embodiment of the application, by receiving the price control request for the second target object, the price control request can be used for controlling price updating of the second target object, the second target data is obtained, price updating is performed on the second target object according to the price control request and the second target data, automatic price escrow by online operation is realized, the price of a commodity can be automatically changed, the current price of the commodity is adjusted to be more competitive price in real time by referring to marketing data of shops in a platform, the transaction amount of the merchant is effectively increased, and by automatic price escrow, the merchant does not need to communicate with platform staff for many times and repeatedly modify the price, so that the operating cost of the merchant is reduced.
Referring to fig. 16, a schematic structural diagram of another data processing apparatus provided in an embodiment of the present application is shown, which may specifically include the following modules:
a second user operation response module 1601, configured to generate a price control request for a second target object in response to a second user operation; wherein the price control request is used for controlling price updating of the second target object;
a price control request sending module 1602, configured to send the price control request to a server; and the server is used for acquiring second target data and updating the price of the second target object according to the price control request and the second target data.
In an embodiment of the present application, the second user operation response module 1601 includes:
the second recommendation interface display submodule is used for acquiring a second recommendation interface for a second target object and displaying the second recommendation interface;
and the second operation response submodule is used for responding to the operation of a second target control in the second recommendation interface and generating a price control request aiming at the second target object.
In an embodiment of the present application, the second operation response submodule includes:
the price setting interface display unit is used for responding to the operation of a second target control in the second recommendation interface and displaying a price setting interface;
the price range receiving unit is used for receiving the control price range input through the price setting interface;
and the price range setting unit is used for generating a price control request aiming at the second target object by adopting the control price range.
In an embodiment of the present application, the price range setting unit includes:
the time setting interface display subunit is used for displaying a time setting interface;
the time range receiving subunit is used for receiving the control time range input through the time setting interface;
and the price control request generation subunit is used for generating a price control request for the second target object by combining the control time range and the control price range.
In the embodiment of the application, a price control request for a second target object is generated in response to a second user operation, the price control request can be used for controlling price updating of the second target object, the price control request is sent to a server, the server acquires second target data, and price updating is carried out on the second target object according to the price control request and the second target data, so that automatic price hosting is carried out by adopting online operation, the price of a commodity can be automatically changed, the current price of the commodity is adjusted to a price with a competitive advantage in real time by referring to marketing data of shops in a platform, the transaction amount of a merchant is effectively increased, and the merchant does not need to communicate with platform workers for many times and repeatedly modify the price through automatic price hosting, so that the operating cost of the merchant is reduced.
An embodiment of the present application also provides an electronic device, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and when executed by the processor, the computer program implements the steps of the method for processing data as described above.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the above data processing method.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. 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 terminal that comprises the element.
The method and apparatus for data processing, the electronic device, and the storage medium provided above are introduced in detail, and a specific example is applied in this document to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (30)

1. A method of data processing, the method comprising:
acquiring first target data;
carrying out price analysis by adopting the first target data to obtain price suggestion information aiming at the first target object, and sending the price suggestion information to a client;
and updating the price of the first target object when a confirmation message of the client aiming at the price suggestion information is received.
2. The method of claim 1, wherein the price advice information comprises a first commodity price, and wherein the step of performing a price analysis using the first target data to obtain the price advice information for the first target object comprises:
determining a first commodity price for a first target object according to the first target data;
generating price suggestion information for the first target object by adopting the first commodity price;
the step of updating the price of the first target object when receiving the confirmation message of the client for the price suggestion information comprises:
and updating the current commodity price of the first target object by adopting the first commodity price when receiving the confirmation message of the client aiming at the price suggestion information.
3. The method of claim 2, wherein determining a first commodity price for a first target object based on the first target data comprises:
determining one or more first associated prices from the first target data;
respectively determining first user operation data corresponding to the one or more first associated prices;
determining a first commodity price for the first target object from the one or more first associated prices in accordance with the first user operation data.
4. The method of claim 3, further comprising, prior to the step of determining the first user-manipulated data corresponding to the one or more first associated prices, respectively:
determining a first other price using the one or more first associated prices;
judging whether the current commodity price of the first target object is higher than the first other price;
and if the current commodity price of the first target object is higher than the first other prices, executing the step of respectively determining the first user operation data corresponding to the one or more first associated prices.
5. The method of claim 2, 3 or 4, further comprising:
determining a price hold time for the first item price;
and when the price keeping duration is longer than the preset duration, restoring the current commodity price of the first target object to the original price.
6. The method of claim 3, wherein the first user operational data comprises any one or more of:
volume of transaction, exposure.
7. The method of claim 1, wherein the price suggestion information is used for generating a first recommendation interface for presentation in the client, and wherein the confirmation message is generated by the client in response to an operation of a first target control in the first recommendation interface.
8. The method of claim 2, wherein the price advice information further comprises any one or more of:
a current commodity price of the first target object, a current commodity inventory of the first target object, a commodity attribute of the first target object.
9. The method of claim 1, wherein the first target object is a commodity object having a volume of volume below a first predetermined volume of volume.
10. A method of data processing, the method comprising:
receiving price suggestion information aiming at a first target object sent by a server side; the price suggestion information is obtained by acquiring first target data for the server side and analyzing the price by adopting the first target data;
displaying the price suggestion information;
responding to the first user operation, generating a confirmation message aiming at the price suggestion information, and sending the confirmation message to the server side; the server is used for updating the price of the first target object when receiving the confirmation message aiming at the price suggestion information.
11. The method of claim 10, wherein the step of presenting the price advice information comprises:
and generating a first recommendation interface by adopting the price suggestion information, and displaying.
12. The method of claim 11, wherein the step of generating a confirmation message for the price suggestion information in response to a first user action comprises:
and generating a confirmation message aiming at the price suggestion information in response to the operation of a first target control in the first recommendation interface.
13. A method of data processing, the method comprising:
receiving a price control request for a second target object; wherein the price control request is used for controlling price updating of the second target object;
acquiring second target data;
and updating the price of the second target object according to the price control request and the second target data.
14. The method of claim 13, wherein the step of updating the price of the second target object based on the price control request and the second target data comprises:
determining a control price range corresponding to the price control request;
determining a second commodity price for the second target object according to the control price range and the second target data;
and updating the current commodity price of the second target object by adopting the second commodity price.
15. The method of claim 14, further comprising, prior to the step of determining the control price range for the price control request:
determining a control time range corresponding to the price control request;
judging whether the current time is within the control time range;
and if the current time is within the control time range, executing the step of determining the control price range corresponding to the price control request.
16. The method according to claim 14 or 15, wherein the step of determining a second commodity price for the second target object from the control price range and the second target data comprises:
determining, from the second target data, one or more second associated prices within the controlled price range;
respectively determining second user operation data corresponding to the one or more second associated prices;
and determining a second commodity price aiming at a second target object from the one or more second associated prices according to the second user operation data.
17. The method of claim 16, further comprising, prior to the step of determining second user-manipulated data corresponding to the one or more second associated prices, respectively:
determining a second other price using the one or more second associated prices;
judging whether the current commodity price of the second target object is higher than the second other price;
and if the current commodity price of the second target object is higher than the second other prices, executing the step of respectively determining second user operation data corresponding to the one or more second associated prices.
18. The method of claim 16, wherein the second user operation data comprises any one or more of:
volume of transaction, exposure.
19. The method of claim 13, wherein the step of receiving a price control request for a second target object comprises:
providing a second recommendation interface aiming at a second target object to the client for displaying;
receiving a price control request aiming at the second target object sent by the client; and the price control request is generated by the client in response to the operation of a second target control in the second recommendation interface.
20. The method of claim 13, wherein the second target object is a commodity object having a volume of volume less than a second predetermined volume of volume.
21. A method of data processing, the method comprising:
generating a price control request for a second target object in response to a second user operation; wherein the price control request is used for controlling price updating of the second target object;
sending the price control request to a server; and the server is used for acquiring second target data and updating the price of the second target object according to the price control request and the second target data.
22. The method of claim 21, wherein generating a price control request for a second target object in response to a second user action comprises:
acquiring a second recommendation interface for a second target object, and displaying the second recommendation interface;
and responding to the operation of a second target control in the second recommendation interface, and generating a price control request aiming at the second target object.
23. The method of claim 21 or 22, wherein the step of generating a price control request for the second target object in response to the operation of a second target control in the second recommendation interface comprises:
responding to the operation of a second target control in the second recommendation interface, and displaying a price setting interface;
receiving a control price range input through the price setting interface;
generating a price control request for the second target object using the control price range.
24. The method of claim 23, wherein generating a price control request for the second target object using the controlled price range comprises:
displaying a time setting interface;
receiving a control time range input through the time setting interface;
and generating a price control request aiming at the second target object by combining the control time range and the control price range.
25. An apparatus for data processing, the apparatus comprising:
the first target data acquisition module is used for acquiring first target data;
the price suggestion information sending module is used for carrying out price analysis by adopting the first target data to obtain price suggestion information aiming at the first target object and sending the price suggestion information to a client;
and the first price updating module is used for updating the price of the first target object when receiving a confirmation message of the client aiming at the price suggestion information.
26. An apparatus for data processing, the apparatus comprising:
the price suggestion information receiving module is used for receiving price suggestion information aiming at the first target object and sent by the server side; the price suggestion information is obtained by acquiring first target data for the server side and analyzing the price by adopting the first target data;
the price suggestion information display module is used for displaying the price suggestion information;
the first user operation response module is used for responding to the first user operation, generating a confirmation message aiming at the price suggestion information and sending the confirmation message to the server; the server is used for updating the price of the first target object when receiving the confirmation message aiming at the price suggestion information.
27. An apparatus for data processing, the apparatus comprising:
a price control request receiving module for receiving a price control request for a second target object; wherein the price control request is used for controlling price updating of the second target object;
the second target data acquisition module is used for acquiring second target data;
and the second price updating module is used for updating the price of the second target object according to the price control request and the second target data.
28. An apparatus for data processing, the apparatus comprising:
the second user operation response module is used for responding to the second user operation and generating a price control request aiming at the second target object; wherein the price control request is used for controlling price updating of the second target object;
the price control request sending module is used for sending the price control request to a server; and the server is used for acquiring second target data and updating the price of the second target object according to the price control request and the second target data.
29. An electronic device, comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the method of data processing according to any one of claims 1 to 24.
30. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of data processing according to any one of claims 1 to 24.
CN202010188291.7A 2020-03-17 2020-03-17 Data processing method and device, electronic equipment and storage medium Pending CN113409063A (en)

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