CN110956477A - Method and device for determining optimal price of commodity - Google Patents
Method and device for determining optimal price of commodityDownload PDFInfo
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- CN110956477A CN110956477ACN201811121911.4ACN201811121911ACN110956477ACN 110956477 ACN110956477 ACN 110956477ACN 201811121911 ACN201811121911 ACN 201811121911ACN 110956477 ACN110956477 ACN 110956477A
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Abstract
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for determining the optimal price of a commodity.
Background
The price of the commodity is determined by various factors, and the prior art generally adopts the price of the commodity of a friend (the name of a competitor) to dynamically price the commodity with the optimal price to be determined or determine the optimal price for the commodity according to the sales history data of the commodity.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
1. when the price of the friend cannot be matched and is inconsistent with the business target of the friend, the demand of lacking business diversity is dynamically priced by utilizing the commodity price of the friend;
2. merchandise cannot be priced in connection with the price of the friend and the sales history data.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method for determining an optimal price of a commodity, which can integrate multidimensional factors, improve accuracy of determining the optimal price of the commodity, and make the price of the commodity more competitive.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of determining an optimal price of an article, including:
acquiring friend data and self data of a commodity with an optimal price to be determined;
fitting a demand function according to the friend data and the self data, and estimating the relation between the demand and the price;
determining an optimal price according to the relation between the demand and the price;
wherein the friend data comprises: historical price of the friend, inventory status of the friend; the self data includes: self historical price, self inventory status, and promotion status.
Optionally, the mathematical model of the demand function is:
log(QP)＝β0+β1log(P)+θβ2log(Pf)+β3S+β4M+β5(Sf)
wherein Q isPRepresenting the demand at a price P, P representing the price itself, PfRepresenting the price of a friend, S representing the stock status of the friend, M representing the promotion status, SfIndicating a friend inventory status; theta represents a custom weight for coordinating the influence of self price and friend price on demand calculation;
β0、β1、β2、β3、β4、β5the parameters of the mathematical model are determined according to self data and friend data.
Optionally, the optimal price is one of: optimal gross profit price, optimal sales price, and comprehensive optimal gross profit and sales price.
Optionally, determining the optimal price according to the relationship between the demand and the price includes:
when the optimal gross price is selected as the optimal price of the commodity, the optimal price is selected according to the relation between the demand and the price and the mathematical expression
Determining the optimal price of the gross profit;
when the optimal price of the sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining an optimal price of the sales;
when the comprehensive optimal price of gross profit and sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining the comprehensive optimal price of gross profit and sales;
in the above formula, C represents cost, GP0Indicates current gross profit, GMV0Indicating current sales, α being GP0And GMV0The substitution ratio of (2).
According to another aspect of the present embodiment, there is provided an apparatus for determining an optimal price of an article, including:
the data acquisition module is used for acquiring friend data and self data of the commodity with the optimal price to be determined;
the relation estimation module of the demand and the price is used for fitting a demand function according to the friend data and the data of the friend and estimating the relation between the demand and the price;
the optimal price determining module is used for determining the optimal price according to the relation between the demand and the price;
wherein the friend data comprises: historical price of the friend, inventory status of the friend; the self data includes: self historical price, self inventory status, and promotion status.
Optionally, the mathematical model of the demand function is:
log(QP)＝β0+β1log(P)+θβ2log(Pf)+β3S+β4M+β5(Sf)
wherein Q isPRepresenting the demand at a price P, P representing the price itself, PfRepresenting the price of a friend, S representing the stock status of the friend, M representing the promotion status, SfIndicating a friend inventory status; theta represents a custom weight for coordinating the influence of self price and friend price on demand calculation;
β0、β1、β2、β3、β4、β5the parameters of the mathematical model are determined according to self data and friend data.
Optionally, the optimal price is one of: optimal gross profit price, optimal sales price, and comprehensive optimal gross profit and sales price.
Optionally, determining the optimal price according to the relationship between the demand and the price includes:
when the optimal gross price is selected as the optimal price of the commodity, the optimal price is selected according to the relation between the demand and the price and the mathematical expression
Determining the optimal price of the gross profit;
when the optimal price of the sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining an optimal price of the sales;
when the comprehensive optimal price of gross profit and sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining the comprehensive optimal price of gross profit and sales;
in the above formula, C represents cost, GP0Indicates current gross profit, GMV0Indicating current sales, α being GP0And GMV0The substitution ratio of (2).
According to another aspect of the embodiments of the present invention, there is provided an electronic device for determining an optimal price of an article, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of determining an optimal price for an item of the present invention.
According to another aspect of embodiments of the present invention, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the method of determining an optimal price for an item of merchandise of the present invention.
One embodiment of the above invention has the following advantages or benefits:
the invention determines the demand function by integrating the friend data and the self data, further determines the optimal price of the commodity, solves the technical problem that the commodity pricing excessively depends on the price of the friend or the price of the friend does not work in the prior art, further achieves the technical effects of integrating multidimensional factors, improving the accuracy of determining the optimal price of the commodity and enabling the price of the commodity to be more competitive.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic view of a main flow of a method of determining an optimum price of a commodity according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a flow chart of an embodiment of a method for determining an optimal price for a commodity according to the present invention;
FIG. 3 is a schematic diagram of the main blocks of an apparatus for determining an optimum price of a commodity according to an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a method of determining an optimum price of a commodity according to an embodiment of the present invention, as shown in fig. 1,
s101, acquiring friend data and self data of a commodity to be priced;
s102, fitting a demand function according to the friend data and the data of the friend, and estimating the relation between demand and price;
s103, determining an optimal price according to the relation between the demand and the price;
wherein the friend data comprises: historical price of the friend, inventory status of the friend; the self data includes: self historical price, self inventory status, and promotion status.
The self is the party that prices the goods. The self data can be directly obtained in a database or a storage device. The self data can include a unique mark corresponding to the friend data, self historical price and self stock state, and can also include: promotional status, etc.
The friend is a competitor who also sells a pending price item (SKU). The friend data includes but is not limited to: unique mark of pending commodity of the friend, historical price of the friend and inventory state of the friend. Wherein, the friend data can be captured in real time according to a crawler technology.
Particularly, the method can assist in determining the self optimal price by acquiring the inventory state of the friends. For example, the item to be priced is a dictionary. Assuming that the stock status of the friend shows that the friend only stores 5 books of the dictionary, and the friend sells in a discount of the price of the dictionary for the purpose of emptying the stock without considering the amount of profit, and the selling purpose of one side of the commodity pricing is to improve the profit. Since the selling purpose of the friend is different from that of the friend, the reference to the friend data can be reduced.
The invention determines the optimal price of the commodity by integrating the friend data and the self data, solves the technical problem that the commodity pricing in the prior art excessively depends on the friend data or the friend data does not work, and further achieves the technical effects of improving the accuracy of determining the optimal price of the commodity and enabling the price of the commodity to be more competitive.
Generally, when the profit of a commodity is fixed, the larger the sales volume is, the higher the profit is; as the price of the goods increases, the profit per goods increases, but the sales volume may decrease; conversely, when the price of the commodity is reduced, the profit of each commodity is reduced, and the sales volume may be increased. The relationship between the estimated demand and the price in the invention is the relationship between the estimated sales and the price.
The demand function is a function expressing the relationship among demand, friend data and self data. The relation between the demand and the price can be estimated through a demand function with a multidimensional relation.
According to the invention, the multi-dimensional factors are integrated by a technical means of the relation between the demand quantity and the price estimated by the demand function, so that the technical effect of more accurately determining the optimal price is achieved.
The optimal price is determined according to the sales objective. For example, if the sales objective is to clean up inventory, the demand for profit may be reduced.
Optionally, the mathematical model of the demand function is:
log(QP)＝β0+β1log(P)+θβ2log(Pf)+β3S+β4M+β5(Sf)
wherein Q isPRepresenting the demand at a price P, P representing the price itself, PfRepresenting the price of a friend, S representing the stock status of the friend, M representing the promotion status, SfIndicating a friend inventory status; theta represents a custom weight for coordinating the influence of self price and friend price on demand calculation;
β0、β1、β2、β3、β4、β5the parameters of the mathematical model are determined according to self data and friend data.
The demand function is of a log-log structure, and when the demand function is fitted according to the friend data and the self data, the relation between the demand and the self data and the friend data can be determined more intuitively.
Specifically, the value of β 1 in the formula is the same as the price elastic coefficient of the user, and the value of θ β 2 in the formula is the same as the price elastic coefficient of the friend.
The calculation mode of the self price elastic coefficient is as follows: the ratio of the demand variation to the price variation itself; the calculation mode of the price elasticity coefficient of the friend is as follows: the ratio of demand delta to friend price delta.
The price elasticity can reflect the relation between the demand and the price, and is obtained by a demand function through Taylor expansion. The self price elastic coefficient and the friend price elastic coefficient can not generate great fluctuation generally in a period of time, and particularly for the commodities with rigid requirements, the self price elastic coefficient and the friend price elastic coefficient can not need to be updated in real time.
Alternatively, the period for updating the self price elastic coefficient and the friend price elastic coefficient may be set to be updated once per week/day according to actual conditions. The relation between the price and the demand can be expressed through the price elasticity coefficient, so that the relation between the demand and the price can be conveniently estimated through the price elasticity, and the technical effect of estimating the optimal price more accurately is achieved.
The value of θ in the above mathematical model can be adjusted according to business needs.
Optionally, θ has a value range of [0,10 ]. For example, a party pricing goods has sales goals of: the ratio of the sales volume closest to the price of the friend to the gross profit is optimal, the value of θ can be set to 1, that is, the weight ratio of price elasticity of my party and price elasticity of the friend to the final demand is 1: 1.
In the prior art, when a dynamic pricing system based on sales history data determines an optimal price, the optimal price completely depends on friend data, and own data does not work or the friend data does not work at all, so that the dynamic pricing system cannot reflect the current sales change rule. The invention overcomes the technical defects that the prior art can not process the inconsistency between the friend and the self target and can not synthesize the friend data and the self data by setting the demand function which can synthesize the multidimensional influence factors, thereby achieving the beneficial effects of synthesizing various factors which influence the demand quantity, improving the accuracy of pricing and avoiding determining the optimal price of the commodity only by the friend data or the self data.
Optionally, the optimal price includes, but is not limited to, one of: optimal gross profit price, optimal sales price, and comprehensive optimal gross profit and sales price.
Optionally, determining the optimal price according to the relationship between the demand and the price includes:
when the optimal gross profit price is selected as the price of the commodity, the optimal gross profit price is selected according to the relation between the demand and the price and the mathematical expression
Determining gross profit optimaAnd (4) the price. Specifically, the demand Q is determined using a demand functionPAnd bringing the expression of the demand into
In (1). Determining the Q of the band-inPThe maximum value of the latter formula corresponds to the own price (P). The gross profit is the balance obtained by subtracting the price of the commodity from the selling price of the commodity.
When the optimal price of the sales is selected as the price of the commodity, the relationship between the demand and the price and the mathematical expression are used
The specific determination method for determining the optimal price of the sales is similar to the method for determining the optimal price of the gross profit, and is not described herein again.
When the comprehensive optimal price of gross profit and sales is selected as the price of the commodity, the relationship between the demand and the price and the mathematical expression are used
And determining the comprehensive optimal price of the gross profit and the sales.
Specifically, when gross profit and sales are combined as the criteria for optimizing to-be-priced goods, GP exists0(Current gross profit) and GMV0(current sales) replacement ratio α, where the setting of α is determined by business rules, specifically, when α is 2, it means that the good loses 1% of its GMV0At least 2% GP lift is required0When α is 1/2, the commodity loses 1% of GP0Need to boost GMV by at least 2%0The overall profit can be kept unchanged.
In the above mathematical expression, C represents cost, GP0Indicates current gross profit, GMV0Indicating current sales, α being GP0And GMV0The substitution ratio of (2). Besides the above three determination methods of the optimal price, the method also includes but is not limited to: the invention achieves the technical effect of facilitating the diversity of prices by flexibly setting the optimal prices of different targetsAnd (5) fruit.
Optionally, a restriction condition is set according to business needs for restricting the determination of the optimal price of the commodity. Currently, the commonly used limitations are: maximum proportion of single price adjustment, limit of accumulated price adjustment range, minimum gross profit rate, minimum sales, floor price, ceiling price and the like.
As shown in fig. 2, a specific process for determining the optimal price of a commodity according to the present invention is described in detail in an embodiment:
the method comprises the steps of firstly obtaining friend data and self data of commodities to be priced, and customizing the weight which influences a demand function between the friend data and the self data. And then, fitting a demand function through the data, and outputting the relation between the demand and the price. And then, the relation between the demand and the price, the data of the commodity, the self-defined limit interval and the mathematical expression of the optimal price are integrated to determine the optimal price of the commodity.
According to still another aspect of the embodiments of the present invention, there is provided anapparatus 300 for determining an optimal price of an article, including:
themodule 301 and the data acquisition module are used for acquiring friend data and self data of a commodity with an optimal price to be determined;
themodule 302, a relation estimation module of the demand and the price, which is used for fitting a demand function according to the friend data and the data of the friend and estimating the relation between the demand and the price;
themodule 303 and the optimal price determining module are used for determining the optimal price according to the relation between the demand and the price;
wherein the friend data comprises: historical price of the friend, inventory status of the friend; the self data includes: self historical price, self inventory status, and promotion status.
Optionally, the mathematical model of the demand function is:
log(QP)＝β0+β1log(P)+θβ2log(Pf)+β3S+β4M+β5(Sf)
wherein Q isPRepresenting the demand at a price P, which represents the price itselfLattice, PfRepresenting the price of a friend, S representing the stock status of the friend, M representing the promotion status, SfIndicating a friend inventory status; theta represents a custom weight for coordinating the influence of self price and friend price on demand calculation;
β0、β1、β2、β3、β4、β5the parameters of the mathematical model are determined according to self data and friend data.
Optionally, the optimal price is one of: optimal gross profit price, optimal sales price, and comprehensive optimal gross profit and sales price.
Optionally, determining the optimal price according to the relationship between the demand and the price includes:
when the optimal gross price is selected as the optimal price of the commodity, the optimal price is selected according to the relation between the demand and the price and the mathematical expression
Determining the optimal price of the gross profit;
when the optimal price of the sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining an optimal price of the sales;
when the comprehensive optimal price of gross profit and sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining the comprehensive optimal price of gross profit and sales;
in the above formula, C represents cost, GP0Indicates current gross profit, GMV0Indicating current sales, α being GP0And GMV0The substitution ratio of (2).
Fig. 4 illustrates anexemplary system architecture 400 of a method of determining an optimal price of a good or an apparatus for determining an optimal price of a good to which embodiments of the present invention may be applied.
As shown in fig. 4, thesystem architecture 400 may includeterminal devices network 404, and aserver 405. Thenetwork 404 serves as a medium for providing communication links between theterminal devices server 405.Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may useterminal devices server 405 over anetwork 404 to receive or send messages or the like. Theterminal devices
Theterminal devices
Theserver 405 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using theterminal devices
It should be noted that the method for determining the optimal price of the product provided by the embodiment of the present invention is generally executed by theserver 405, and accordingly, the device for determining the optimal price of the product is generally disposed in theserver 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, shown is a block diagram of acomputer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, thecomputer system 500 includes a central processing module (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from astorage section 508 into a Random Access Memory (RAM) 503. In theRAM 503, various programs and data necessary for the operation of thesystem 500 are also stored. TheCPU 501,ROM 502, andRAM 503 are connected to each other via abus 504. An input/output (I/O)interface 505 is also connected tobus 504.
The following components are connected to the I/O interface 505: aninput portion 506 including a keyboard, a mouse, and the like; anoutput portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; astorage portion 508 including a hard disk and the like; and acommunication section 509 including a network interface card such as a LAN card, a modem, or the like. Thecommunication section 509 performs communication processing via a network such as the internet. Thedriver 510 is also connected to the I/O interface 505 as necessary. Aremovable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on thedrive 510 as necessary, so that a computer program read out therefrom is mounted into thestorage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through thecommunication section 509, and/or installed from theremovable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the central processing module (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a sending module, an obtaining module, a determining module, and a first processing module. The names of these modules do not form a limitation on the modules themselves in some cases, and for example, the sending module may also be described as a "module sending a picture acquisition request to a connected server".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:
acquiring friend data and self data of a commodity with an optimal price to be determined;
fitting a demand function according to the friend data and the self data, and estimating the relation between the demand and the price;
and determining the optimal price according to the relation between the demand and the price.
According to the technical scheme of the embodiment of the invention, the following beneficial effects can be achieved:
the invention determines the demand function by integrating the friend data and the self data, further determines the optimal price of the commodity, solves the technical problem that the commodity pricing excessively depends on the price of the friend or the price of the friend does not work in the prior art, further achieves the technical effects of integrating multidimensional factors, improving the accuracy of determining the optimal price of the commodity and enabling the price of the commodity to be more competitive.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining an optimal price for an item, comprising:
acquiring friend data and self data of a commodity with an optimal price to be determined;
fitting a demand function according to the friend data and the self data, and estimating the relation between the demand and the price;
determining an optimal price according to the relation between the demand and the price;
wherein the friend data comprises: historical price of the friend, inventory status of the friend; the self data includes: self historical price, self inventory status, and promotion status.
2. The method of claim 1, wherein the mathematical model of the demand function is:
log(QP)＝β0+β1log(P)+θβ2log(Pf)+β3S+β4M+β5(Sf)
wherein Q isPRepresenting the demand at a price P, P representing the price itself, PfRepresenting the price of a friend, S representing the stock status of the friend, M representing the promotion status, SfIndicating a friend inventory status; theta represents a custom weight for coordinating the influence of self price and friend price on demand calculation;
β0、β1、β2、β3、β4、β5determined according to self data and friend dataParameters of the mathematical model.
3. The method of claim 2, wherein the optimal price is one of: optimal gross profit price, optimal sales price, and comprehensive optimal gross profit and sales price.
4. The method of claim 3, wherein determining an optimal price based on the demand versus price relationship comprises:
when the optimal gross price is selected as the optimal price of the commodity, the optimal price is selected according to the relation between the demand and the price and the mathematical expression
Determining the optimal price of the gross profit;
when the optimal price of the sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining an optimal price of the sales;
when the comprehensive optimal price of gross profit and sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining the comprehensive optimal price of gross profit and sales;
in the above formula, C represents cost, GP0Indicates current gross profit, GMV0Indicating current sales, α being GP0And GMV0The substitution ratio of (2).
5. An apparatus for determining an optimal price for an item, comprising:
the data acquisition module is used for acquiring friend data and self data of the commodity with the optimal price to be determined;
the relation estimation module of the demand and the price is used for fitting a demand function according to the friend data and the data of the friend to estimate the relation between the demand and the price;
the optimal price determining module is used for determining the optimal price according to the relation between the demand and the price;
wherein the friend data comprises: historical price of the friend, inventory status of the friend; the self data includes: self historical price, self inventory status, and promotion status.
6. The apparatus of claim 5, wherein the mathematical model of the demand function is:
log(QP)＝β0+β1log(P)+θβ2log(Pf)+β3S+β4M+β5(Sf)
wherein Q isPRepresenting the demand at a price P, P representing the price itself, PfRepresenting the price of a friend, S representing the stock status of the friend, M representing the promotion status, SfIndicating a friend inventory status; theta represents a custom weight for coordinating the influence of self price and friend price on demand calculation;
β0、β1、β2、β3、β4、β5the parameters of the mathematical model are determined according to self data and friend data.
7. The apparatus of claim 6, wherein the optimal price is one of: optimal gross profit price, optimal sales price, and comprehensive optimal gross profit and sales price.
8. The apparatus of claim 7, wherein determining an optimal price based on the demand versus price relationship comprises:
when the optimal gross price is selected as the optimal price of the commodity, the optimal price is selected according to the relation between the demand and the price and the mathematical expression
Determining the optimal price of the gross profit;
when the optimal price of the sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining an optimal price of the sales;
when the comprehensive optimal price of gross profit and sales is selected as the optimal price of the commodity, the relationship between the demand and the price and the mathematical expression are used
Determining the comprehensive optimal price of gross profit and sales;
in the above formula, C represents cost, GP0Indicates current gross profit, GMV0Indicating current sales, α being GP0And GMV0The substitution ratio of (2).
9. An electronic device for determining an optimal price for an item, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114862455A (en)* | 2022-04-19 | 2022-08-05 | 佛山市海天调味食品股份有限公司 | Method, device, equipment and storage medium for processing new product pricing data |
| CN116777157A (en)* | 2023-06-20 | 2023-09-19 | 上海朗晖慧科技术有限公司 | Supply and demand data centralized supervision system and method based on big data |
- 2018
- 2018-09-26CNCN201811121911.4Apatent/CN110956477A/enactivePending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114862455A (en)* | 2022-04-19 | 2022-08-05 | 佛山市海天调味食品股份有限公司 | Method, device, equipment and storage medium for processing new product pricing data |
| CN116777157A (en)* | 2023-06-20 | 2023-09-19 | 上海朗晖慧科技术有限公司 | Supply and demand data centralized supervision system and method based on big data |
| CN116777157B (en)* | 2023-06-20 | 2024-01-30 | 上海朗晖慧科技术有限公司 | Supply and demand data centralized supervision system and method based on big data |
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