CN111369292A - Product price adjusting method and related product - Google Patents
Product price adjusting method and related product Download PDFInfo
- Publication number
- CN111369292A CN111369292A CN202010147199.6A CN202010147199A CN111369292A CN 111369292 A CN111369292 A CN 111369292A CN 202010147199 A CN202010147199 A CN 202010147199A CN 111369292 A CN111369292 A CN 111369292A
- Authority
- CN
- China
- Prior art keywords
- price
- target product
- product
- competitive
- adjusting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000002860 competitive effect Effects 0.000 claims abstract description 86
- 230000015654 memory Effects 0.000 claims description 23
- 241000209094 Oryza Species 0.000 description 10
- 235000007164 Oryza sativa Nutrition 0.000 description 10
- 235000009566 rice Nutrition 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000012546 transfer Methods 0.000 description 5
- 238000010411 cooking Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 235000014347 soups Nutrition 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
Landscapes
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a product price adjusting method, which comprises the following steps: obtaining product characteristics of a target product, wherein the target product characteristics comprise the current price of the target product; determining competitive products of the target product according to the characteristics of the target product; obtaining the price of the competitive product according to a preset rule; and adjusting the current price of the target product according to the price of the competitive product and the current price of the target product. Under different market environments and aiming at different products, corresponding adjustment can be carried out according to the preset adjustment strategy of the pricing strategy of the target product and the price list, so that the final price which is more suitable in the current selling period is obtained, and the sales volume of the target product is improved. The application also provides an electronic device and a computer readable medium.
Description
Technical Field
The present disclosure relates to the field of product pricing technologies, and in particular, to a method for adjusting product price, an electronic device, and a computer readable medium.
Background
Product pricing, which can directly affect the positioning of products in the market, and price adjustment during the sale process of products, which can improve the sales volume of products, are important links for selling the products. The traditional product price adjusting method is usually carried out based on the cost of materials, labor, manufacture and the like of products, and cannot adjust the price based on the price difference of competitive products related to the products in the market and a market positioning strategy, so that the product price is not adjusted fast enough, the efficiency is low, and the sales volume of the products is directly influenced.
Disclosure of Invention
The application discloses a product price adjusting method, which adjusts the price in real time according to the price of competitive products related to products and preset rules, thereby improving the sales volume of the products.
In a first aspect, the present application provides a product price adjustment method, including:
obtaining product characteristics of a target product, wherein the target product characteristics comprise the current price of the target product;
determining competitive products of the target product according to the characteristics of the target product;
obtaining the price of the competitive product according to a preset rule;
and adjusting the current price of the target product according to the price of the competitive product and the current price of the target product.
Under different market environments and aiming at different products, corresponding adjustment can be carried out according to the preset adjustment strategy of the target product and the price list, so that the final price which is more suitable in the current selling period is obtained, and the sales volume of the target product is improved.
In a second aspect, the present application further provides an electronic device, including:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring the product characteristics of a target product, and the target product characteristics comprise the current price of the target product;
the determining module is used for determining competitive products of the target product according to the characteristics of the target product;
the acquisition module is also used for acquiring the price of the competitive product according to a preset rule;
and the adjusting module is used for adjusting the current price of the target product according to the price of the competitive product and the current price of the target product.
In a third aspect, the present application further provides an electronic device, where the electronic device includes: a processor and a memory, the memory storing program codes for executing the product price adjustment method according to the first aspect, the processor being configured to read and call the codes stored in the memory.
In a fourth aspect, the present application further provides a computer readable medium, in which a computer readable program is stored, and when the computer readable program is read and executed by a processor, the method for adjusting the product price according to the first aspect is executed.
Drawings
In order to more clearly explain the technical solutions in the embodiments of the present application, the drawings that are needed to be used in the embodiments will be briefly described below, and those skilled in the art can also obtain other drawings according to the drawings without any creative effort.
Fig. 1 is a flowchart of a product price adjustment method according to a first embodiment of the present application.
Fig. 2 is a schematic diagram of a price list provided in an embodiment of the present application.
Fig. 3 is a schematic diagram of an electronic device framework according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a data transfer server according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application are within the scope of protection of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a product price adjustment method according to a first embodiment of the present application. The product price adjusting method comprises the following steps: steps S101, S102, S103, and S104, and steps S101, S102, S103, and S104 will be described in detail as follows.
S101, obtaining product characteristics of a target product, wherein the target product characteristics comprise the current price of the target product;
s102, determining competitive products of the target product according to the characteristics of the target product;
s103, acquiring the price of the competitive product according to a preset rule;
and S104, adjusting the current price of the target product according to the price of the competitive product and the current price of the target product.
Typically, the characteristics of the target product may include, but are not limited to including, product classification, product specification, target market, functional attributes, product quality, manufacturer, date of manufacture, warranty period, and the like. As a preferred embodiment of the present application, the characteristics of the target product may specifically include a target market, a functional attribute, and a product quality. By means of the product characteristics, competitive products of the target product can be determined accurately. For example, when the target product belongs to a vehicle category, the target market may be a family individual, an organization, or the like, based on the specific category of the target product. The functional attribute of the target product can be a commuting transportation tool or a business delivery. The product quality may then be the power performance or fuel consumption of the target product. For another example, when the target product belongs to the category of household appliances, based on the specific model of the target product, it may be determined that the target market may be a common family, a family seeking a happy technological experience, or the like. The functional attributes of the target product may be determined according to different types of household appliances, for example, when the target product is an electric cooker, the functional attributes of the target product may be various functions such as cooking rice, stewing soup and the like. The product quality of the target product may then include age, etc. Based on the target product characteristics, competitive products of the target product can be obtained under the same or similar characteristics.
Specifically, for example, a target product a vehicle belonging to a target market of household individuals, the functional attribute of the a vehicle is a commuting travel tool, and the product quality may include, but is not limited to, 225 km/h maximum vehicle speed, 195 kw/265 horsepower output, and 7.9 l/100 km integrated oil consumption. Competitive products can be determined according to the target product characteristics of the A vehicle, and the target market, the functional attributes and the product quality of the competitive products are basically consistent with the target product characteristics of the A vehicle. For example, the vehicle B is a product belonging to the same target market of a family, the functional attribute is the same as that of a commuting travel tool, and in the product quality, the maximum vehicle speed is 223 km/h, the output power is 190 kw/265 horsepower, and the integrated oil consumption is 7.9 l/100 km, the vehicle B can be classified as a competitive product of the target product vehicle a. It can be understood that if the vehicle C is a product belonging to the same target market of the family, the functional attribute is the same as that of the commuting travel tool, and the maximum vehicle speed is 229 km/h, the output power is 198 kw/265 horsepower, and the integrated oil consumption is 8.2 l/100 km, the vehicle C can also be classified as a competitive product of the target product a vehicle. It can be understood that, in this embodiment, if the difference between each parameter in the product quality of the target product and each parameter in the product quality of the competitive product to be determined does not exceed the preset threshold, the competitive product to be determined may be determined as the competitive product of the target product. The preset threshold may be determined as appropriate.
For another example, the functional attributes of the D rice cooker, which belongs to the target market of families pursuing happy technological experiences, may include, but are not limited to, functions including voice recognition, automatic water quantity measurement, and cooking and stewing functions included in a common rice cooker, and the product quality of the D rice cooker is a newly released rice cooker. Competitive products can be determined according to the target product characteristics of the D electric cooker, and the target market, the functional attributes and the product quality of the competitive products are basically consistent with the target product characteristics of the D electric cooker. For example, the target product E rice cooker belonging to the family target market for pursuing the happy technological experience may also have functional attributes including, but not limited to, a voice recognition function, a reservation starting function, and functions of cooking and stewing included in a general rice cooker, and if the product quality of the E rice cooker is a newly released rice cooker, the E rice cooker may be listed as a competitive product of the target product D rice cooker. It can be understood that, in this embodiment, if the functional attributes of the target product and the competitive product to be determined are substantially consistent, the competitive product to be determined may be determined as the competitive product of the target product.
It is understood that the above process of determining competing products of the target product can be automatically implemented by the code.
It will be appreciated that in one possible embodiment, more parameters of the target product may be determined to achieve the goal of more accurately determining competing products of the target product. The current price of the target product may be determined according to the cost price of the target product, or may be determined according to the target market, the functional attribute, and the product quality of the target product, which is not limited in this application.
Specifically, in this embodiment, the price of the competitive product is periodically obtained through the network tool, and of course, the price of the competitive product may also be obtained in real time through the network tool. The network tool is a network program or a network script which can automatically acquire network public information according to a self-defined rule. For example, the network public information such as the price of the competitive product of the selling website of the competitive product of the target product is automatically crawled by a network crawler. It is understood that the price of the competitive product may be obtained periodically by other means, which is not limited in this application.
In a possible embodiment, there are at least 2 competitive products, and the adjusting the current price of the target product according to the price of the competitive product and the current price of the target product specifically includes: forming a product price list according to the current price of the target product and the high and low orders of the prices of the competitive products; and adjusting the current price of the target product according to the product price list and a preset adjustment strategy.
Specifically, please refer to fig. 2, and fig. 2 is a schematic diagram of a price list provided in an embodiment of the present application. Forming a price list according to the current price and the obtained price of the competitive product in a size order, wherein the price list may be in a descending order or a descending order, and the application is not limited thereto.
Specifically, as shown in fig. 2, a competitive product 1 and a competitive product 2 …, namely a competitive product N, represent different competitive products of the target product determined according to the target market, the functional attributes and the product quality of the target product, and the price of the competitive product is indicated by a letter X.
Preferably, the final price of the target product in the current selling period is determined according to the preset adjusting strategy of the target product and the price list. Wherein the selling period is a time period within which the price of the target product is unchanged. And entering the next selling period after the price of the target product is adjusted according to the preset adjusting strategy and the price list. It will be appreciated that the current price in the initial vending cycle will change to the final price in the initial vending cycle. And in the next selling period, re-pricing the final price in the previous selling period as the current price so as to achieve the aim of periodically changing the pricing of the target product.
It can be understood that, in this embodiment, according to different market environments and for different products, corresponding adjustments may be made according to the preset adjustment policy and the price list of the target product, so as to obtain the final price suitable for the current selling period, and improve the sales volume of the target product.
In a possible embodiment, the preset adjustment policy includes a low price policy, and the adjusting the current price of the target product according to the product price list and the preset adjustment policy specifically includes: judging whether the current price of the target product is consistent with the lowest price in the product price list or not; and if not, adjusting the current price of the target product according to the minimum price.
It can be understood that, when the preset adjustment strategy is the low price strategy, the partial profit obtained by selling a single target product is reduced, so as to achieve the purpose of increasing the total sales volume of the target product. In this embodiment, the final price is the lowest price in the price list minus the first preset price, so that the final price is the lowest price. The first preset price is a price set by a person, and can be determined according to the lowest profit expected by selling the target product or other factors. Of course, the low price strategy does not only mean that the final price is the lowest price in the price list minus the first preset price, but the final price can also be set as the price of the competitive product with a lower price in the price list minus the first preset price according to actual conditions. For example, the final price of the target product may be increased based on a comparison of the performance of the target product and the performance of the competing product. Taking a coefficient of 80% as an example, the lower price of the competitive product multiplied by 80% is equal to the lowest price of the competitive product price in the price list, thereby improving the profit obtained by selling the target product while ensuring the total sales of the target product.
In a possible embodiment, the preset adjustment policy includes an average price policy, and the adjusting the current price of the target product according to the product price list and the preset adjustment policy specifically includes: calculating the average number of all prices in the product price list to obtain the average price of the product; judging whether the current price of the target product is consistent with the average price of the target product; and if not, adjusting the current price of the target product to the average price of the product. It is understood that in the case where the target market, the functional attribute, and the product quality of the target product are not similar to those of the competitive product, an excessively high price of the target product may result in a large reduction in the sales of the target product, and an excessively low price of the target product may result in an insufficient profit for selling the target product. And when the preset adjusting strategy is an average price strategy, the final price is the average price in the price list, so that the sales volume of the target product is improved on the premise of guaranteeing that the target product is sold to obtain profits. The average price is a weighted average of all prices in the price list, that is, the sum of all prices in the price list is divided by the number of the competitive products in the price list to obtain the average price. The average price strategy is the same as the low price strategy in that the average price can be multiplied by a corresponding coefficient according to the actual situation to change the final price, which is not described herein again.
In a possible embodiment, the determining the final price of the target product in the current selling period according to the price list and the preset adjustment strategy of the target product includes: and when the preset adjusting strategy is a high price strategy, the final price is the sum of the highest price in the price list and a second preset price.
It is understood that the second preset price may be the same as or different from the first preset price. When the target product does not have a large influence on the sales volume of the target product due to the higher brand effect of the target product relative to the competitive product or due to the target product being a luxury category, the preset adjustment strategy is a high-price strategy. The high price strategy is the same as the low price strategy in that the final price can be changed by multiplying the maximum price by a corresponding coefficient according to actual conditions, which is not described herein again.
In a possible embodiment, there are only 1 competitive product, and the adjusting the current price of the target product according to the price of the competitive product and the current price of the target product specifically includes: comparing the current price of the target product with the price of the competitive product; and adjusting the current price of the target product according to a preset adjusting strategy.
Specifically, in one possible embodiment, the competition policy includes a low price competition policy or a high price competition policy; the adjusting the current price of the target product according to the preset competition strategy specifically includes: when the current price of the target product is higher than the price of the competitive product, adjusting the current price of the target product according to the low-price competition strategy; or; and when the current price of the target product is lower than the price of the competitive product, adjusting the current price of the target product according to the high-price competitive strategy. Specifically, if the preset adjustment strategy is a low price competition strategy, the preset price can be subtracted from the price of the competitive product. If the adjusted price of the target product is higher than the price of the competitive product again, continuously subtracting the preset price, and repeating the steps. Similarly, if the preset adjustment strategy is a high price competition strategy, a preset price can be added on the basis of the price of the competitive product. If the adjusted price of the target product is lower than the price of the competitive product again, continuously adding the preset price, and repeating the steps. Or, after the price of the target product is adjusted, if the sales volume is not obviously improved, stopping obtaining the price of the competitive product, and adjusting the price of the target product back to the last adjusted price.
In a possible embodiment, the product price adjustment method further includes: acquiring a preset base price of the target product; and if the adjusted price of the target product is lower than the preset base price, resetting the stock of the target product. It will be appreciated that if the final price of the target product is less than the base price, a loss will result in the target product being sold. In this embodiment, when the final price is less than the reserve price, the sale of the target product will be suspended. For example, modifying the remaining inventory amount of the target product to zero prevents the user from continuing to purchase the target product. In another possible embodiment, the final price of the current sale period may also be restored to the final price of the last sale period.
It is to be understood that periodic acquisition of the prices of the competing products is not suspended after the final price is less than the reserve price. And in a later selling period, if the final price is greater than the base price, the selling of the target product can be resumed.
Fig. 3 is a schematic view of an electronic device 1 according to an embodiment of the present disclosure, and fig. 3 is a schematic view of an electronic device framework according to the present disclosure. The electronic apparatus 1 includes: the device comprises an acquisition module 11, a determination module 12 and an adjustment module 13. The acquisition module is used for acquiring the product characteristics of a target product, wherein the target product characteristics comprise the current price of the target product; the determining module is used for determining competitive products of the target product according to the characteristics of the target product; the acquisition module is also used for acquiring the price of the competitive product according to a preset rule; the adjusting module is used for adjusting the current price of the target product according to the price of the competitive product and the current price of the target product. The electronic device 1 may be used to perform a product price adjustment method as described above.
Optionally, when there are at least two or more competitive products, the adjusting module 13 further includes a sorting submodule, and the sorting submodule is configured to form a product price list according to the current price of the target product and the high-low sorting of the prices of the competitive products. And the adjusting module 13 adjusts the current price of the target product according to the target product price list and a preset adjusting strategy.
Optionally, the adjusting module 13 further includes a judging sub-module, where the judging sub-module is configured to judge whether the current price of the target product is consistent with the lowest price in the price list of the target product. If the price is not consistent, the adjusting module 13 adjusts the current price of the target product according to the minimum price.
Optionally, the adjusting module 13 further includes a calculating submodule, where the calculating submodule is configured to calculate an average number of all prices in the target product price list, so as to obtain a product average price; the judgment sub-module is further used for judging whether the current price of the target product is consistent with the average price of the target product. If the current price of the target product is not consistent with the average price of the target product, the adjusting module 13 adjusts the current price of the target product to the average price of the target product.
Optionally, when there are only 1 competitive product, the adjusting module 13 further includes a comparing sub-module, and the comparing sub-module is configured to compare the current price of the target product with the price of the competitive product. The adjusting module 13 adjusts the current price of the target product according to a preset adjusting strategy.
Optionally, when the current price of the target product is higher than the price of the competitive product, the adjusting module 13 adjusts the current price of the target product according to the low-price competitive policy; or, when the current price of the target product is lower than the price of the competitive product, the adjusting module 13 adjusts the current price of the target product according to the high-price competitive policy.
Optionally, the electronic device 1 further includes a zero clearing module 14, and the obtaining module 11 is further configured to obtain a preset base price of the target product. If the adjusted price of the target product is lower than the preset base price, the zero clearing module 14 clears the stock of the target product.
The present application also provides an electronic device, characterized in that the electronic device includes: a processor and a memory, the memory storing program code for executing the product price adjustment method as described above, the processor reading and calling the code stored by the memory. It should be noted that the electronic device in the embodiment of the present application may be a mobile phone, a smart phone, a tablet computer, an electronic reader, a portable device when worn, a notebook computer, and the like, and may communicate with a data transfer server through the internet, and the data transfer server may be a third party shopping service platform, an instant messaging server supporting a shopping service function, an SNS (Social Networking Services) server, and the like, which is not limited in this embodiment of the present application.
Specifically, in a possible embodiment, please refer to fig. 4 together, and fig. 4 is a schematic structural diagram of a data transfer server according to an embodiment of the present application. As shown in fig. 4, the data transfer server 2 may include: at least one processor 21, such as a Central Processing Unit (CPU), at least one memory 22, and at least one communication module 23. The communication module 23 includes but is not limited to a WIFI device, a bluetooth device, a mobile network device, etc., for example, the communication module obtains cloud information through WIFI and mobile network networking, or is connected to the target product pricing device 1 through bluetooth. The communication module 23 is used for realizing connection communication between these components. The memory 22 may be a high-speed RAM memory or a non-volatile memory (e.g., at least one disk memory). The memory 22 may optionally be at least one memory device located remotely from the processor 21. The memory 22 stores a set of program codes therein, and the processor 21 is configured to call the program codes stored in the memory 22 for performing the following operations:
in a possible embodiment, when the preset adjustment policy is a low price policy, the pricing unit 14 prices the final price to be the lowest price in the price list minus a first preset price. Specifically, please refer to the above detailed description for the low-cost strategy, which is not described herein again.
Optionally, in a possible embodiment, the processor 21 is configured to call the program code stored in the memory 22, and is configured to perform the following operations:
and when the preset adjusting strategy is an average price strategy, pricing the final price as the average price in the price list. Specifically, please refer to the above detailed description for the average price policy, which is not described herein again.
Optionally, in a possible embodiment, the processor 21 is configured to call the program code stored in the memory 22, and is configured to perform the following operations:
and when the preset adjusting strategy is a high price strategy, pricing the final price as the sum of the highest price in the price list and a second preset price. Specifically, please refer to the above detailed description for the high-price policy, which is not described herein again.
Optionally, the processor 21 is configured to call the program code stored in the memory 22, and is configured to perform the following operations:
acquiring a preset base price of the target product; and if the adjusted price of the target product is lower than the preset base price, resetting the stock of the target product.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The principle and the implementation of the present application are explained herein by applying specific examples, and the above description of the embodiments is only used to help understand 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 (10)
1. A product price adjustment method, characterized by comprising:
obtaining product characteristics of a target product, wherein the target product characteristics comprise the current price of the target product;
determining competitive products of the target product according to the characteristics of the target product;
obtaining the price of the competitive product according to a preset rule;
and adjusting the current price of the target product according to the price of the competitive product and the current price of the target product.
2. The product price adjustment method according to claim 1, wherein there are at least 2 competitive products, and the adjusting the current price of the target product according to the price of the competitive product and the current price of the target product specifically comprises:
forming a product price list according to the current price of the target product and the high and low orders of the prices of the competitive products;
and adjusting the current price of the target product according to the target product price list and a preset adjustment strategy.
3. The method according to claim 2, wherein the preset adjustment policy includes a low price policy, and the adjusting the current price of the target product according to the target product price list according to the preset adjustment policy specifically includes:
judging whether the current price of the target product is consistent with the lowest price in the price list of the target product;
and if not, adjusting the current price of the target product according to the minimum price.
4. The product price adjustment method according to claim 2, wherein the preset adjustment policy includes an average price policy, and the adjusting the current price of the target product according to the target product price list according to the preset adjustment policy specifically includes:
calculating the average number of all prices in the target product price list to obtain the average price of the product;
judging whether the current price of the target product is consistent with the average price of the target product;
and if not, adjusting the current price of the target product to the average price of the product.
5. The product price adjustment method according to claim 1, wherein there are only 1 competitive product, and the adjusting the current price of the target product according to the price of the competitive product and the current price of the target product specifically includes:
comparing the current price of the target product with the price of the competitive product;
and adjusting the current price of the target product according to a preset adjusting strategy.
6. The product price adjustment method according to claim 5, wherein the competition policy includes a low price competition policy or a high price competition policy; the adjusting the current price of the target product according to the preset competition strategy specifically includes:
when the current price of the target product is higher than the price of the competitive product, adjusting the current price of the target product according to the low-price competition strategy;
or;
and when the current price of the target product is lower than the price of the competitive product, adjusting the current price of the target product according to the high-price competitive strategy.
7. The product price adjustment method of claims 1-6, wherein the method further comprises:
acquiring a preset base price of the target product;
and if the adjusted price of the target product is lower than the preset base price, resetting the stock of the target product.
8. An electronic device, characterized in that the electronic device comprises:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring the product characteristics of a target product, and the target product characteristics comprise the current price of the target product;
the determining module is used for determining competitive products of the target product according to the characteristics of the target product;
the acquisition module is also used for acquiring the price of the competitive product according to a preset rule;
and the adjusting module is used for adjusting the current price of the target product according to the price of the competitive product and the current price of the target product.
9. An electronic device, characterized in that the electronic device comprises: a processor and a memory, the memory storing program code for executing the product price adjustment method according to any one of claims 1 to 7, the processor being configured to read and call the code stored in the memory.
10. A computer-readable medium storing a computer-readable program, wherein the computer-readable program is read by a processor and executed to perform the method for adjusting the price of a product according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010147199.6A CN111369292A (en) | 2020-03-05 | 2020-03-05 | Product price adjusting method and related product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010147199.6A CN111369292A (en) | 2020-03-05 | 2020-03-05 | Product price adjusting method and related product |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111369292A true CN111369292A (en) | 2020-07-03 |
Family
ID=71206714
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010147199.6A Pending CN111369292A (en) | 2020-03-05 | 2020-03-05 | Product price adjusting method and related product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111369292A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116777503A (en) * | 2023-08-23 | 2023-09-19 | 深圳易能时代科技有限公司 | Method, server and medium for dynamically adjusting channel price based on bid price |
-
2020
- 2020-03-05 CN CN202010147199.6A patent/CN111369292A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116777503A (en) * | 2023-08-23 | 2023-09-19 | 深圳易能时代科技有限公司 | Method, server and medium for dynamically adjusting channel price based on bid price |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220147891A1 (en) | Systems and methods for optimized design of a supply chain | |
| KR102012373B1 (en) | Method for auto-trading based on searching stock item by the stock trading server | |
| CN111292149B (en) | Method and device for generating return processing information | |
| US20130246212A1 (en) | System and method for providing mobile device trade-in value quotations and comparisons against other mobile devices | |
| US20100005004A1 (en) | System and method to guarantee a selling price of a product | |
| CN110910157A (en) | Marketing system and transaction settlement method for merchants or consumers to obtain rebates | |
| US8412560B1 (en) | Price optimization using current offers | |
| CN109493113A (en) | A kind of providing method and device of favor information | |
| CN106960266B (en) | Logistics control method and device for pre-selling articles | |
| CN111582947A (en) | Coupon processing method and related device | |
| CN109948829A (en) | A kind of tune pallet piling up method, electronic equipment and storage medium based on multiple point of sale | |
| CN109711936A (en) | A kind of Tea Industry platform trading algorithms and device | |
| CN108428153A (en) | Strategy adjusting method, server and the Developing Tactics system of presell commodity | |
| CN111507673A (en) | Method and device for managing commodity inventory | |
| CN111369292A (en) | Product price adjusting method and related product | |
| CN114219397A (en) | Inventory management method, device, equipment and storage medium | |
| CN108596743A (en) | Merchandise information processing method, device, storage medium and computer equipment | |
| CN111507779A (en) | Method and device for grading commodities | |
| TWI533249B (en) | Method and system for generating item recommandation and non-transitory medium | |
| CN115482051A (en) | Commodity management method, device and equipment based on ERP system and readable storage medium | |
| CN111445263A (en) | Information processing method, device, computer system and medium | |
| CN107203909A (en) | A kind of data processing method and device | |
| CN111429177A (en) | Method and apparatus for adjusting product price | |
| CN107392669B (en) | Commodity information pushing method, device and system | |
| KR20100083540A (en) | Method and system for brokering transaction for preorder goods |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200703 |
|
| RJ01 | Rejection of invention patent application after publication |