CN111429178A - Method and device for adjusting commodity price - Google Patents
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Abstract
The application provides a method for adjusting commodity price, the method for adjusting commodity price can determine a price mode according to the number of times of purchase, the first number of times of viewing and the time of purchase of a consumer, so that the adjusted commodity price is more suitable for the consumption behavior of the consumer, and the consumer can be guided to consume conveniently. The method for adjusting the price of the commodity comprises the following steps: acquiring order information; acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity according to the order information; comparing the purchase times with preset purchase times; if the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times; and if the purchase times are larger than the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
Description
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for adjusting a price of a commodity.
Background
The commodity transaction refers to direct product or commodity purchasing and selling behaviors, and the purchasing and selling behaviors are ubiquitous in daily life. The price of a conventional product or good is established based on the cost of the product or good being accounted for. However, this method of adjusting the price is not adjusted in connection with the specific situation of the consumer.
Disclosure of Invention
The application provides a method for adjusting commodity price, the method for adjusting commodity price can determine a price mode according to the number of times of purchase, the first number of times of viewing and the time of purchase of a consumer, so that the adjusted commodity price is more suitable for the consumption behavior of the consumer, and the consumer can be guided to consume conveniently.
The method for adjusting the price of the commodity comprises the following steps:
acquiring order information;
acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity according to the order information;
comparing the purchase times with preset purchase times;
if the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times;
and if the purchase times are larger than the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
In one embodiment, the step of determining the first price pattern according to the first number of times of viewing includes:
acquiring a basic price;
determining a price according to the basic price and the first checking times;
in the step of determining a second price pattern according to the latest purchase time and the order confirmation time, the method includes:
acquiring a basic price;
and determining the price according to the basic price, the latest purchasing time and the order confirmation time.
In one embodiment, the step of determining the price according to the base price and the first viewing times comprises:
if the first checking times are larger than first preset checking times, determining a first price, wherein the first price is larger than the basic price;
and if the first checking times are less than or equal to first preset checking times, determining a second price, wherein the second price is equal to the basic price.
In one aspect, the first number of views includes a first number of store views and a second number of store views, the first number of store views is a number of times that the consumer views the target item at a first store, the second number of store views is a number of times that the consumer views the target item at a second store, the price of the target item at the first store is a first store price, and the price of the target item at the second store is a second store price, in the step of determining the first price, the method includes:
if the number of times of viewing of the first store is greater than the number of times of viewing of the second store, adjusting the first store price and the second store price so that the first store price is lower than the second store price, wherein the first store price is greater than the base price;
and if the number of times of viewing of the first store is equal to the number of times of viewing of the second store, adjusting the price of the first store and the price of the second store so as to enable the price of the first store to be equal to the price of the second store.
In one embodiment, the step of determining the price at the latest purchase time and the order confirmation time includes:
determining a discount if the interval between the latest purchase time and the current confirmation time is less than or equal to a first preset time interval;
and if the interval between the latest purchasing time and the current confirmation time is greater than a first preset time interval, determining the price as a third price, wherein the third price is less than or equal to the basic price.
In one embodiment, the step of determining the discount if the interval between the latest purchase time and the current confirmation time is less than or equal to a first preset time interval includes:
if the interval between the latest purchasing time and the current confirmation time is less than a first preset time and less than or equal to a second preset time interval, determining a first discount, wherein the second preset time interval is less than the first preset time interval;
and if the interval between the latest purchasing time and the current confirmation time is greater than a second preset time interval and less than or equal to a first preset time interval, determining a second discount, wherein the second discount is greater than the first discount.
In one embodiment, the step of determining the discount comprises:
if the second viewing times are larger than second preset viewing times, determining a third discount, wherein the second viewing times are the times of the consumer viewing the target commodity within the first preset time interval;
and if the second viewing times are less than or equal to a second preset viewing times, determining a fourth discount, wherein the fourth discount is greater than the third discount.
In another aspect, the present application further provides a device for challenging a price of an article, where the device for adjusting the price of the article includes:
the acquisition unit is used for acquiring order information;
the acquisition unit is further used for acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity according to the order information;
a processing unit for comparing the number of purchases with a preset number of purchases; if the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times; and if the purchase times are larger than the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
On the other hand, the present application further provides an apparatus for adjusting a price of a commodity, the apparatus for adjusting a price of a commodity including:
the device comprises a storage component, a communication component and a processing component, wherein the storage component, the communication component and the processing component are connected with each other, the storage component is used for storing data processing codes, and the communication component is used for carrying out information interaction with an external device; the processing means is configured to invoke program code to perform the method of any of the preceding claims 1 to 7.
In another aspect, the present application further provides a computer storage medium storing a computer program, which when executed by a processor, implements the method for adjusting the price of an article according to any one of claims 1 to 7.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious 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 to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for adjusting a price of an article according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 3 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 4 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 5 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 6 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 7 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 8 is a flowchart of a method for adjusting prices of commodities according to another embodiment of the present application.
Fig. 9 is a schematic diagram of an apparatus for adjusting a price of a commodity according to an embodiment of the present application.
Fig. 10 is a schematic diagram of an apparatus for adjusting prices of commodities according to an embodiment of the present application.
Detailed Description
Technical solutions in embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, and 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.
The terms "comprising" and "having," and any variations thereof, in the description and claims of this application and the drawings described herein are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
As used in this application, the terms "server," "unit," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a server may be, but is not limited to, a processor, a data processing platform, a computing device, a computer, two or more computers, and the like.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for adjusting a price of a commodity according to an embodiment of the present disclosure. In this embodiment, the method for adjusting the price of the commodity is not limited to be used in a server, an electronic device, and the like, and the electronic device may be any device having communication and storage functions. For example: the system comprises intelligent equipment with a network function, such as a tablet Computer, a mobile phone, an electronic reader, a remote controller, a Personal Computer (PC), a notebook Computer, vehicle-mounted equipment, a network television, wearable equipment and the like. In the present embodiment, the method for adjusting the price of a commodity is used in an electronic device as an example.
In this embodiment, the method for adjusting the price of a commodity includes: s100, S200, S300, S400 and S500, wherein the details of S100, S200, S300, S400 and S500 are described as follows.
S100: and obtaining order information.
S200: and acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity according to the order information.
S300: and comparing the purchase times with preset purchase times.
S400: and if the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times.
S500: and if the purchase times are larger than the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
In this embodiment, order information is acquired, wherein the order information is order information of user shopping. The method for acquiring the order information is not limited to acquiring from a storage component of the electronic device, and may also acquire from a server.
And after the order information is acquired, acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity from the order information. The number of times of purchase is not limited to or greater than 0, and the number of times of purchase of the target product by the user can be acquired according to the number of times of purchase. The first checking times are the times for checking the target commodity, the latest purchasing time is the time for the user to purchase the commodity, and the order confirmation time is the time for the user to confirm the order during the current shopping.
And when the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times.
And when the purchase times are larger than the preset purchase times, determining a second price mode according to the purchase time and the order confirmation time.
In this embodiment, the method for adjusting the commodity price acquires the number of purchases, the first number of views, the purchase time, and the order confirmation time from order information of a consumer, and determines the price according to the number of purchases, the first number of views, the purchase time, and the order confirmation time in the order information, so that the adjusted commodity price provided by this embodiment is more flexible, and the price can be adjusted more easily for the order information of the consumer.
Specifically, in the present embodiment, the number of purchases is 0, and the preset number of purchases is 0. And when the purchase times are 0 times and the consumer in the order information purchases the target commodity for the first time, determining the price according to the first viewing times. Namely, the probability that the consumer purchases the target commodity is confirmed through the first viewing times, and then the price is determined according to the probability that the consumer purchases the target commodity.
And when the purchase times are more than 0, the consumer purchases the target commodity again, and the price is determined according to the latest purchase time of the consumer and the order confirmation time. That is, the time interval of the consumer's consumption is determined by the latest purchase time and the order confirmation time to determine the probability of the consumer purchasing the target product, and then the price is determined according to the probability of the consumer purchasing the target product.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. This embodiment can be combined with the method for adjusting the price of a commodity provided in the previous embodiment. In this embodiment, the step of determining the first price pattern according to the first number of times of viewing includes S410 and S420, and the specific description of S410 and S420 is as follows.
S410: acquiring a basic price;
s420: determining a price according to the basic price and the first checking times;
in the present embodiment, the base price is a cost price of the product, and the cost price of the product is a price calculated from costs such as a raw material cost, a processing cost, and a transportation cost of the product.
The first price mode determines a price in combination with the base price and the first number of views, and the adjusted price of the item can be determined in combination with order information of the consumer and cost information of the item.
Specifically, the basic price is 100 yuan, and the first preset number of views is 10 times. And when the basic price is 100 yuan, determining the price according to the basic price of 100 yuan and the first viewing times. The price is greater than or equal to 100 dollars to ensure that the merchant is not losing the transaction at that price. In one embodiment, if the first number of views is greater than 10, the price is adjusted to 110 dollars. As the number of first views increases, the price is correspondingly increased. And when the first viewing times are less than 10 and more than 0, adjusting the price to be low. As the number of first views decreases, the price is adjusted lower accordingly.
Referring to fig. 3, fig. 3 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. This embodiment can be combined with the method for adjusting the price of a commodity provided in any of the above embodiments. In this embodiment, the step of determining the second price pattern according to the latest purchase time and the order confirmation time includes steps S510 and S520, and steps S510 and S520 are described in detail as follows.
S510: a base price is obtained.
S520: and determining the price according to the basic price, the latest purchasing time and the order confirmation time.
In this embodiment, the base price is a cost price of the commodity, and the cost price of the commodity is a price calculated by numerical values such as a raw material cost, a processing cost, a transportation cost, and a minimum profit of the commodity.
The second price mode determines a price in conjunction with the base price, the most recent purchase time, and the order confirmation time, and the adjusted item price can be determined in conjunction with order information of a consumer, the most recent purchase time, and the order confirmation time.
And when the purchase times are more than 0, the consumer purchases the target commodity again, and the price is determined according to the latest purchase time of the consumer and the order confirmation time. That is, the time interval of the consumer's consumption is determined by the latest purchase time and the order confirmation time to determine the probability of the consumer purchasing the target product, and then the price is determined according to the probability of the consumer purchasing the target product.
Specifically, the basic price is taken as 100 yuan as an example for explanation. When the time interval between the latest purchasing time and the order determining time is 5 days, the price is adjusted to 110 yuan on the basis of 100 yuan of the basic price.
Referring to fig. 4, fig. 4 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. This embodiment can be combined with the method for adjusting the price of a commodity provided in any of the above embodiments.
In the step of S420, the method includes: s411 and S412, wherein S411 and S412 are described in detail as follows.
S411: and if the first checking times are larger than or equal to first preset checking times, determining a first price, wherein the first price is larger than the basic price.
S412: and if the first checking times are smaller than the first preset checking times, determining a second price, wherein the second price is equal to the basic price.
In this embodiment, when the first number of times of viewing is greater than or equal to a first preset number of times of viewing, the determined first price is greater than or equal to the base price, that is, when the number of times of viewing by the consumer is greater than or equal to the preset number of times of viewing, the price of the target product is increased, so that the price of the target product is greater than the base price. In this embodiment, the consumer is aware that the probability of purchasing the target product is high because the number of times of viewing by the consumer is large, and the profit of the merchant is increased by increasing the price of the target product.
In this embodiment, when the first number of views is less than a first preset number of views, a second price is determined, where the second price is equal to the base price. That is, when the number of viewing times of the consumer is smaller than a preset number of viewing times, the number of viewing times of the consumer is smaller, and it is known that the probability that the consumer purchases the target commodity is smaller, the target commodity is adjusted to a base price, so that the consumer is promoted to purchase the target commodity.
Specifically, the basic price is 100 yuan, and the first preset number of views is 10. If the first checking times are 15 times and the first checking times are larger than the first preset checking times, the price is adjusted to 110 yuan. And if the first checking times are 1, adjusting the price to be 100 yuan.
Further, as the number of times the consumer views the target good increases, the price increases accordingly. If the number of times that the consumer views the target commodity is 30, the price is adjusted to 120 yuan.
Referring to fig. 5, fig. 5 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. This embodiment can be combined with the method for adjusting the price of a commodity provided in any of the above embodiments. In this embodiment, the first number of views includes a first number of store views and a second number of store views, where the first number of store views is the number of times that the consumer views the target item at a first store, the second number of store views is the number of times that the consumer views the target item at a second store, a price of the target item at the first store is a first store price, and a price of the target item at the second store is a second store price. The step of determining the first price includes S413 and S414, and S413 and S414 are specifically described as follows.
S413: if the number of times of viewing of the first store is larger than the number of times of viewing of the second store, adjusting the first store price and the second store price so that the first store price is lower than the second store price, wherein the first store price is larger than the base price.
S414: and if the number of times of viewing of the first store is equal to the number of times of viewing of the second store, adjusting the price of the first store and the price of the second store so as to enable the price of the first store to be equal to the price of the second store.
In this embodiment, when the number of times of viewing by the first store is greater than the number of times of viewing by the second store, the first store price and the second store price are adjusted. Namely, when the number of times that the consumer views the target commodity at the first merchant is larger than that at the second merchant, the first store price and the second store price are adjusted, so that the first store price is lower than the second store price, and the consumer is convenient to be guided to purchase the target commodity.
When the number of times of viewing of the first store is equal to the number of times of viewing of the second store, the number of times of viewing of the target item by the consumer at the first store is equal to the number of times of viewing of the target item at the second store, and the first store price is equal to the second store price.
Specifically, the first store price and the second store price are both 110 yuan, the number of times that the consumer views in the first store is 3, the number of times that the consumer views in the second store is 1, the first store price is adjusted to 105 yuan, and the second store price remains unchanged.
In one embodiment, when the number of first store views is greater than the number of second store views, the first store price is decreased and the second store price is increased, wherein the first store price is greater than the base price. In this embodiment, the difference between the first store price and the second store price is increased to guide the consumer to purchase the target item at the first store price.
Specifically, the first store price and the second store price are both 110 yuan, the number of times the consumer views the first store is 3, the number of times the consumer views the second store is 1, the first store price is adjusted to 105 yuan, and the second store price is increased to 115 yuan. The consumer is guided to purchase the target item at the first store by decreasing the first store price, increasing the second store price, and increasing the spread between the first store price and the second store price.
Referring to fig. 6, fig. 6 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. This embodiment can be combined with the method for adjusting the price of a commodity provided in any of the above embodiments. In the present embodiment, the step of S520 includes S511 and S512, and S511 and S512 are described in detail as follows.
S511: determining a discount if the interval between the latest purchase time and the current confirmation time is less than or equal to a first preset time interval.
S512: and if the interval between the latest purchasing time and the current confirmation time is greater than a first preset time interval, determining that the price is a third price, wherein the third price is less than the basic price.
In this embodiment, if the number of times of purchase by the consumer is greater than a preset number of times, the consumer purchases the target product again. And determining a discount if the interval between the latest purchasing time and the current confirmation time is less than or equal to a first preset time interval, and attracting the consumer to purchase the target commodity by providing the determined discount. It will be appreciated that the discount is not limited to coupons, cashback tickets, etc.
When the interval between the purchase time and the current confirmation time is greater than the first preset time interval, the consumer has exceeded the preset time interval, and the consumer is attracted to purchase the target commodity by determining the price of the target commodity as a third price. The third price is lower than the base price.
In this embodiment, the first time interval is set to be larger as the base price of the target product is larger. Such as a commodity value of 100 dollars, the first time interval is 30 days. If the value is greater than 100 yuan and less than 500 yuan, the first time interval is 90 days. If the value is greater than 500 yuan and less than 1000 yuan, the first time interval is 180 days. If the value is greater than 1000 dollars, the first time interval is 365 days.
Referring to fig. 7, fig. 7 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. The method for adjusting the price of the commodity provided by the embodiment can be combined with the method for adjusting the price of the commodity provided by the embodiment shown in fig. 6 and the corresponding description. In the present embodiment, in the step of S511, S5111 and S5112 are included, and the descriptions of S5111 and S5112 are specifically as follows.
S5111: and if the interval between the latest purchasing time and the current confirmation time is smaller than a second preset time interval, determining the first discount, wherein the second preset time interval is smaller than the first preset time interval.
S5112: and if the interval between the latest purchasing time and the current confirmation time is greater than a second preset time interval and less than a first preset time interval, determining a second discount, wherein the second discount is greater than the first discount.
In this embodiment, if the interval between the latest purchase time and the current confirmation time is smaller than a second preset time interval and smaller than the first preset time interval, the first discount is determined, and when the interval between the latest purchase time and the current confirmation time is larger than the second preset time interval and smaller than the first preset time interval, the second discount is determined. That is, when the consumer does not purchase the target product at the second preset time interval, determining a first tab to attract the consumer to purchase the target product. When the consumer is out of the second preset time and does not purchase the target commodity within the first preset time, determining a second discount, wherein the second discount is greater than the first discount, so that the consumer who does not purchase the target commodity for a long time is attracted to purchase the target commodity.
Specifically, the first preset time interval is 30 days, the second preset time interval is 15 days, and when the time interval between the latest purchase time and the current confirmation time is 10 days, a first discount is determined, and the first discount is a 9-fold discount. When the time interval between the latest purchase time and the current confirmation time is 20 days, a second discount is determined, and the second discount is 8.5. In one embodiment, the first discount is a 9-fold discount for purchasing a plurality of target products, and the second discount is a 8.5-fold discount for purchasing the plurality of target products.
Referring to fig. 8, fig. 8 is a flowchart illustrating a method for adjusting a price of a commodity according to another embodiment of the present application. This embodiment can be combined with the method for adjusting the price of an article provided in any of the above embodiments. In the present embodiment, in the step of S511, S5113 and S5114 are included, and the details of S5113 and S5114 are described below.
S5113: if the second viewing times are larger than second preset viewing times, determining a third discount, wherein the second viewing times are the times of the consumer viewing the target commodity within the first preset time interval;
s5113: and if the second viewing times are less than or equal to a second preset viewing times, determining a fourth discount, wherein the fourth discount is greater than the third discount.
In this embodiment, when the number of times that the consumer views within the first preset time is greater than a second preset number of times, the consumer is attracted to purchase the target product by determining a third tab. And when the number of times of viewing by the consumer in the first preset time is less than or equal to a second preset number of times of viewing, a fourth discount is determined and is greater than the third discount, so that the consumer is given a larger discount, and the consumer is attracted to purchase the target product.
In this embodiment, when the second viewing frequency is 15 times and the second preset viewing frequency is 10 times, determining the third discount, and the third discount is a 9-fold discount; and when the second viewing frequency is 1 time and is less than the second preset viewing frequency, determining the fourth discount, wherein the fourth discount is 8.5.
Referring to fig. 9, fig. 9 is a schematic view of an apparatus for adjusting a price of a commodity according to an embodiment of the present application. In the present embodiment, the device 50 for adjusting the price of the commodity includes an obtaining unit 501 and a processing unit 502,
the obtaining unit 501 is configured to obtain order information, and the obtaining unit 501 is further configured to obtain the number of purchases of the target product, the first number of views, the latest purchase time, and the order confirmation time according to the order information.
The processing unit 502 is configured to compare the number of purchases with a preset number of purchases; if the purchase times are smaller than the preset purchase times, determining a first price mode according to the first viewing times; and if the purchase times are larger than or equal to the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
Referring to fig. 10, fig. 10 is a schematic view illustrating an apparatus for adjusting a price of a commodity according to an embodiment of the present disclosure. In the present embodiment, the apparatus 60 for adjusting a price of an article includes: the device comprises a storage component 601, a communication component 602 and a processing component 603, wherein the storage component 601, the communication component 602 and the processing component 603 are connected with each other, the storage component 601 is used for storing data processing codes, and the communication component 602 is used for performing information interaction with an external device; the processing component 603 is configured to call program code to perform the method for adjusting the price of the commodity according to any of the above embodiments.
The present application further provides a computer storage medium storing a computer program, which when executed by a processor implements the method for adjusting the price of an article according to any of the above embodiments. Wherein the computer storage medium may comprise: a U-disk, a removable hard disk, a magnetic disk, an optical disk, a Read-Only Memory (ROM) or a Random Access Memory (RAM), and the like.
Embodiments of the present application also provide a computer program, which may include instructions that, when executed by a computer, cause the computer to perform some or all of the steps including any one of the method embodiments described above.
In this application, the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
In addition, functional components in the embodiments of the present application may be integrated into one component, or each component may exist alone physically, or two or more components may be integrated into one component. The integrated components can be realized in a form of hardware or a form of software functional units.
The integrated components, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially or partially implemented in the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept 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 method of adjusting a price of an article, the method comprising:
acquiring order information;
acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity according to the order information;
comparing the purchase times with preset purchase times;
if the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times;
and if the purchase times are larger than the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
2. The method of adjusting prices of commodities, according to claim 1, wherein in the step of determining a first price pattern based on said first number of views, comprises:
acquiring a basic price;
determining a price according to the basic price and the first checking times;
in the step of determining a second price pattern according to the latest purchase time and the order confirmation time, the method includes:
acquiring a basic price;
and determining the price according to the basic price, the latest purchasing time and the order confirmation time.
3. The method of adjusting prices of goods according to claim 2, wherein in the step of determining a price based on said base price and said first number of views, comprises:
if the first checking times are larger than first preset checking times, determining a first price, wherein the first price is larger than the basic price;
and if the first checking times are less than or equal to first preset checking times, determining a second price, wherein the second price is equal to the basic price.
4. The method of adjusting prices of goods according to claim 3, wherein said first number of times of viewing comprises a first number of times of viewing at a first store by a consumer and a second number of times of viewing at a second store by a consumer, said price of said target goods at the first store is a first store price, said price of said target goods at the second store is a second store price, and in said step of determining said first price, comprising:
if the number of times of viewing of the first store is greater than the number of times of viewing of the second store, adjusting the first store price and the second store price so that the first store price is lower than the second store price, wherein the first store price is greater than the base price;
and if the number of times of viewing of the first store is equal to the number of times of viewing of the second store, adjusting the price of the first store and the price of the second store so as to enable the price of the first store to be equal to the price of the second store.
5. The method of adjusting the price of an article according to claim 2, wherein the step of determining the price at the latest purchase time and the order confirmation time comprises:
determining a discount if the interval between the latest purchase time and the current confirmation time is less than or equal to a first preset time interval;
and if the interval between the latest purchasing time and the current confirmation time is greater than a first preset time interval, determining the price as a third price, wherein the third price is less than or equal to the basic price.
6. The method of adjusting a price of an article according to claim 5, wherein the step of determining the discount if the interval between the latest purchase time and the current confirmation time is less than or equal to a first preset time interval comprises:
if the interval between the latest purchasing time and the current confirmation time is less than a first preset time and less than or equal to a second preset time interval, determining a first discount, wherein the second preset time interval is less than the first preset time interval;
and if the interval between the latest purchasing time and the current confirmation time is greater than a second preset time interval and less than or equal to a first preset time interval, determining a second discount, wherein the second discount is greater than the first discount.
7. The method of adjusting the price of an article according to claim 5, wherein in the step of determining the discount, the step of:
if the second viewing times are larger than second preset viewing times, determining a third discount, wherein the second viewing times are the times of the consumer viewing the target commodity within the first preset time interval;
and if the second viewing times are less than or equal to a second preset viewing times, determining a fourth discount, wherein the fourth discount is greater than the third discount.
8. An apparatus for adjusting a price of an article, comprising:
the acquisition unit is used for acquiring order information;
the acquisition unit is further used for acquiring the purchase times, the first viewing times, the latest purchase time and the order confirmation time of the target commodity according to the order information;
a processing unit for comparing the number of purchases with a preset number of purchases; if the purchase times are less than or equal to the preset purchase times, determining a first price mode according to the first viewing times; and if the purchase times are larger than the preset purchase times, determining a second price mode according to the latest purchase time and the order confirmation time.
9. An apparatus for adjusting prices of commodities, comprising:
the device comprises a storage component, a communication component and a processing component, wherein the storage component, the communication component and the processing component are connected with each other, the storage component is used for storing data processing codes, and the communication component is used for carrying out information interaction with an external device; the processing means is configured to invoke program code to perform the method of any of the preceding claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program which, when being executed by a processor, implements the method of adjusting the price of an article according to any one of the preceding claims 1 to 7.
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| CN202010207370.8A CN111429178A (en) | 2020-03-23 | 2020-03-23 | Method and device for adjusting commodity price |
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| CN202010207370.8A CN111429178A (en) | 2020-03-23 | 2020-03-23 | Method and device for adjusting commodity price |
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Application publication date: 20200717 |