CN111695930A - Method and device for realizing dynamic commodity price - Google Patents
Method and device for realizing dynamic commodity price Download PDFInfo
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- CN111695930A CN111695930A CN202010387604.1A CN202010387604A CN111695930A CN 111695930 A CN111695930 A CN 111695930A CN 202010387604 A CN202010387604 A CN 202010387604A CN 111695930 A CN111695930 A CN 111695930A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 235000013361 beverage Nutrition 0.000 claims description 9
- 238000010586 diagram Methods 0.000 description 4
- 235000015895 biscuits Nutrition 0.000 description 2
- 235000019219 chocolate Nutrition 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 235000011888 snacks Nutrition 0.000 description 2
- 241000219357 Cactaceae Species 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 235000013601 eggs Nutrition 0.000 description 1
- 235000013410 fast food Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- 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
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Abstract
The invention relates to the technical field of unmanned vending machines, in particular to a method and a device for realizing dynamic commodity price. A method of implementing dynamic commodity prices, comprising: determining a dynamic coefficient of commodity price; and determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity. The present invention may determine the dynamic coefficient based on the location of the vending machine, and/or the current time. The flexibility of commodity price is improved.
Description
Technical Field
The invention relates to the technical field of unmanned vending machines, in particular to a method and a device for realizing dynamic commodity price.
Background
In the internet era, consumers are not limited by time and space any more, various commodities can be browsed at any time and any place, the performances and prices of the commodities can be compared in detail through the internet, and the price sensitivity is greatly improved. The commodities with the same quality and price can be easily eliminated. The price of goods in the unmanned vending machine is always preset and unchanged, cannot be changed along with the change of time and space, and is rigid in pricing.
Disclosure of Invention
Therefore, the embodiment of the invention provides a method and a device for realizing dynamic commodity price, so as to solve the problems.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to a first aspect of an embodiment of the present invention, a method for implementing dynamic commodity prices includes:
determining a dynamic coefficient of commodity price;
and determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
Further, determining a dynamic coefficient of the price of the commodity includes: and determining the dynamic coefficient according to the type of the commodity and the current time.
Further, if the type of commodity is a beverage;
if the current time is summer, the dynamic coefficient is greater than 1;
if the current time is winter, the dynamic coefficient is less than 1.
Further, for any one commodity, determining the sales volume of the commodity of the unmanned vending machine in each time period in the day;
determining a time period with the maximum sales volume;
determining that a dynamic coefficient of the price of the good is greater than 1 when time is in a time period in which the sales volume is maximum.
Further, determining a dynamic coefficient of the price of the commodity includes: and determining the dynamic coefficient according to the type of the commodity, the location of the unmanned vending machine and the current time.
Further, for any one commodity;
determining the contribution rate of the unmanned vending machine to the city;
determining that the dynamic coefficient of the commodity is larger if the contribution rate of the unmanned vending machine is larger.
Further, if the type of merchandise is a child's toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
According to a second aspect of an embodiment of the present invention, an apparatus for implementing dynamic commodity prices includes:
the dynamic coefficient determining module is used for determining the dynamic coefficient of the commodity price;
and the price determining module is used for determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
Further, the dynamic coefficient determining module is further configured to determine the dynamic coefficient according to the type of the commodity and the current time.
Further, the dynamic coefficient determination module is also used for determining whether the type of the commodity is a beverage;
if the current time is summer, the dynamic coefficient is greater than 1;
if the current time is winter, the dynamic coefficient is less than 1.
Further, the dynamic coefficient determining module is further used for determining the dynamic coefficient according to the type of the commodity, the location of the unmanned vending machine and the current time.
Further, the dynamic coefficient determining module is also used for determining whether the type of the commodity is a child toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
The embodiment of the invention has the following advantages: the method comprises the steps of determining a dynamic coefficient of commodity price; and determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
Wherein the dynamic coefficient is determined according to the position of the unmanned vending machine and/or the current time. The flexibility of commodity price is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
FIG. 1 is a flowchart of a method for implementing dynamic commodity prices according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus for implementing dynamic commodity prices according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The unmanned vending machine is widely applied and arranged in various occasions such as airports, stations, schools, markets and the like, and the convenience of people is improved. However, in the prior art, the price of the unmanned vending machine is preset and invariable, and cannot be flexibly adjusted. To some extent detracting from the merchant's interest.
Based on this, the present application proposes a method for realizing dynamic commodity price, see the flow chart of a method for realizing dynamic commodity price shown in fig. 1; the method comprises the following steps:
step S101, determining a dynamic coefficient of commodity price;
wherein, can be according to the place that unmanned vending machine is located; and/or the current time to determine the dynamic coefficient.
For example, if the unmanned vending machine is located in a large-scale shopping place with many people, the dynamic coefficient is increased and the price of the commodity is correspondingly increased when the time is weekend; if the current time is the working day, but the position of the unmanned aerial vehicle is school, the dynamic coefficient is increased, and the price is correspondingly increased. The adjustment of the dynamic coefficient may be specifically determined according to the position and time.
And S102, determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
Wherein, (1) the actual selling price is the dynamic coefficient multiplied by the original price.
In the above formula, if the price is to be increased, the dynamic coefficient is greater than 1; if a price reduction is desired, the dynamic coefficient is less than 1.
The following formula may also be employed:
(2) the actual selling price is (dynamic coefficient +1) × the original price.
In the above formula, the dynamic coefficient is positive if the price is to be increased, and negative if the price is to be decreased.
The method of the invention can determine the dynamic coefficient of the price according to the position and the time of the unmanned vending machine, dynamically adjust the price, ensure that the price of the commodity is more flexibly determined, and improve the profit of the merchant if the unmanned vending machine has more places and time. More and more pins can be used if the number of people is small, and the place and the time are short.
The user has a large demand, so that the price is increased and more money is earned; the user demand is small, so that the price is reduced and the market is stimulated.
In one embodiment, for any one item, determining sales of the item for the unmanned vending machine at various time periods during a day;
determining a time period with the maximum sales volume;
determining that a dynamic coefficient of the price of the good is greater than 1 when the time is in the time period.
In one embodiment, determining a dynamic coefficient for the price of the good includes: and determining the dynamic coefficient according to the type of the commodity and the current time.
If the type of the commodity is a beverage;
if the current time is summer, the dynamic coefficient is greater than 1;
if the current time is winter, the dynamic coefficient is less than 1.
It is worth emphasizing that the above scenario uses formula 1 to calculate the price of the commodity;
if equation 2 is used:
if the current time is summer, the dynamic coefficient is greater than 0;
if the current time is winter, the dynamic coefficient is less than 0.
In addition to beverages, the type of goods may be other such as food products, such as compressed biscuits, chocolate;
if the vending machine is located at school, if the current time is noon, the price of the food product, for example, ham, chocolate, compressed biscuits, can be increased appropriately, thereby increasing the profit.
In one embodiment, the method further comprises counting sales of a certain type of goods, and determining to increase the price of the certain type of goods if the sales of the certain type of goods reaches a predetermined threshold.
For example, the dynamic coefficient adjustment of the beverage commodities can be triggered in summer and is adjusted from a conventional value of 1.0 to 1.1-1.2, and the specific numerical value is changed along with the position of a user and the local time period sales volume.
In one embodiment, determining a dynamic coefficient for the price of the good includes: and determining the dynamic coefficient according to the type of the commodity, the location of the unmanned vending machine and the current time.
If the type of merchandise is a child's toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
For example, XX funny eggs trigger dynamic coefficient adjustment in the weekend time period of the unmanned vending machine in children's paradises and markets, and the dynamic coefficient adjustment is adjusted from a conventional value of 1.0 to 1.3-1.5.
The following details a specific method for adjusting the pricing of the goods:
the method comprises the following steps: dynamically adjusting commodity pricing according to the current time period, specifically comprising the following strategies:
one way is to adjust for historical sales, best weekly (monthly statistics)
For example, a week is divided into weeks (1, 2, 3, 4) and weekends (5, 6, 7);
if the ratio of the sales volume of a certain commodity in the week to the sales volume of the weekend is greater than 0.2, the selling price of the commodity is dynamically adjusted according to the corresponding label (week, weekend, balance).
One way is to adjust by the amount of the pin, preferably by time; wherein, the sales volume can be counted monthly;
counting user flow in morning and noon [ 6-13%), noon and evening [ 13-21%) and night [ 21-06%);
if the sales volume is the largest in the midday time period, the price of the commodity is adjusted upwards in the midday time period.
One way is to adjust the price of the commodity according to the dining time and the working time, and the price of the commodity can be adjusted up at the dining time and down at the working time.
One way is to adjust the statistics of the maximum interval of the ratio of the sum of sales of commodities (beverages, snack snacks, full fast food) according to seasons.
2. Dynamically adjusting commodity pricing according to user position
Classifying new and old users according to contribution grade
In one embodiment, for any one item; determining the contribution rate of the unmanned vending machine to the city; determining that the dynamic coefficient of the commodity is larger if the contribution rate of the unmanned vending machine is larger.
For certain goods, such as cactus;
the contribution value is machine daily average sales-city daily average sales
Criteria to determine whether there is a contribution: contribution value >0
Contribution rate (machine-city-day-average)/city-day-average
And (3) grading contribution:
| rate of contribution>＝3 | Maximum and minimum |
| 1<Rate of contribution<3 | Big (a) |
| 0<Rate of contribution<1 | Small |
| Rate of contribution<＝0 | Is free of |
That is, the larger the contribution rate of the unmanned vending machine is, the larger the price of the commodity is adjusted, and the larger the contribution rate is, the larger the price rise of the commodity is.
Other dynamic commodity pricing strategies include: commodity binding pricing and preferential pricing;
the commodity binding pricing refers to that commodities are sold to consumers in a binding mode, and the consumers can think that the bound commodities are more cost-effective to buy.
The existing binding mode comprises the following steps:
buying and giving: purchasing a given gift of a specified commodity;
adding price and purchasing: purchasing other specified commodities at a preferential price after purchasing the commodities;
combining: specific commodities are grouped together and sold as a whole.
The preferential pricing refers to dynamic price adjustment according to the commodity frequently purchased by the user and pushing available coupons of the specified commodities to the user.
In a second aspect, the present application also proposes a device for implementing dynamic commodity price, referring to the schematic structural diagram of a device for implementing dynamic commodity price shown in fig. 2; the device includes:
a dynamic coefficient determining module 21, configured to determine a dynamic coefficient of a commodity price;
and the price determining module 22 is used for determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
In one embodiment, the dynamic coefficient determining module 21 is further configured to determine the dynamic coefficient according to the type of the commodity and the current time.
In one embodiment of the method of the present invention,
the dynamic coefficient determination module 21 is also configured to, if the type of the commodity is a beverage;
if the current time is summer, the dynamic coefficient is greater than 1;
if the current time is winter, the dynamic coefficient is less than 1.
In one embodiment, the dynamic coefficient determining module 21 is further configured to determine the dynamic coefficient according to the type of the commodity, the location of the vending machine, and the current time.
In one embodiment, the dynamic coefficient determination module 21 is further configured to determine if the type of merchandise is a child toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
The application also provides an electronic device, which refers to a schematic structural diagram of the electronic device shown in fig. 3; the apparatus comprises: at least one processor 31 and at least one memory 32;
the memory 32 is for storing one or more program instructions;
the processor 31 is configured to execute one or more program instructions to perform the following steps:
determining a dynamic coefficient of commodity price;
and determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
Further, the processor 31 is also configured to determine the dynamic coefficient according to the type of the product and the current time.
Further, the processor 31 is also configured to, if the type of the commodity is a beverage;
if the current time is summer, the dynamic coefficient is greater than 1;
if the current time is winter, the dynamic coefficient is less than 1.
Further, processor 31 is also configured to determine the dynamic coefficient based on the type of merchandise, the location of the vending machine, and the current time.
Further, the processor 31 is also configured to, if the type of the article is a children's toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
According to a fourth aspect of embodiments of the present invention, the present application further proposes a computer-readable storage medium having embodied therein one or more program instructions for executing the method according to any one of the above-mentioned methods.
In an embodiment of the invention, the processor may be an integrated circuit chip having signal processing capability. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), SLDRAM (SLDRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for implementing dynamic commodity prices, comprising:
determining a dynamic coefficient of commodity price;
and determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
2. The method of implementing dynamic commodity prices of claim 1,
determining a dynamic coefficient of the price of the commodity, comprising: and determining the dynamic coefficient according to the type of the commodity and the current time.
3. The method of implementing dynamic commodity prices of claim 1,
for any one commodity, determining the sales volume of the commodity of the unmanned vending machine in each time period in the day;
determining a time period with the maximum sales volume;
determining that a dynamic coefficient of the price of the good is greater than 1 when time is in a time period in which the sales volume is maximum.
4. The method of implementing dynamic commodity prices of claim 2,
if the type of the commodity is a beverage;
if the current time is summer, the dynamic coefficient is greater than 1;
if the current time is winter, the dynamic coefficient is less than 1.
5. The method of implementing dynamic commodity prices of claim 2,
determining a dynamic coefficient of the price of the commodity, comprising: and determining the dynamic coefficient according to the type of the commodity, the location of the unmanned vending machine and the current time.
6. The method for implementing dynamic commodity prices of claim 4,
for any one of the items;
determining the contribution rate of the unmanned vending machine to the city;
determining that the dynamic coefficient of the commodity is larger if the contribution rate of the unmanned vending machine is larger.
7. The method for implementing dynamic merchandise prices of claim 4 wherein if the type of merchandise is a children's toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
8. An apparatus for implementing dynamic commodity prices, comprising:
the dynamic coefficient determining module is used for determining the dynamic coefficient of the commodity price;
and the price determining module is used for determining the actual selling price of the commodity according to the dynamic coefficient and the original price of the commodity.
9. The apparatus for implementing dynamic commodity prices of claim 8,
and the dynamic coefficient determining module is also used for determining the dynamic coefficient according to the type of the commodity, the location of the unmanned vending machine and the current time.
10. The apparatus for implementing dynamic commodity prices of claim 8,
the dynamic coefficient determining module is also used for determining whether the type of the commodity is a child toy;
if the location of the unmanned vending machine is a shopping mall and the current time is weekend, the dynamic coefficient is greater than 1; alternatively, the first and second electrodes may be,
if the location of the unmanned vending machine is a kindergarten, the dynamic coefficient is greater than 1.
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| CN202010387604.1A CN111695930A (en) | 2020-05-09 | 2020-05-09 | Method and device for realizing dynamic commodity price |
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| CN202010387604.1A CN111695930A (en) | 2020-05-09 | 2020-05-09 | Method and device for realizing dynamic commodity price |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112598457A (en) * | 2020-12-02 | 2021-04-02 | 新石器慧义知行智驰(北京)科技有限公司 | Control method and device for unmanned vending vehicle and unmanned vending vehicle |
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| CN110782269A (en) * | 2019-09-18 | 2020-02-11 | 北京你财富计算机科技有限公司 | Sales promotion commodity price automatic updating method and device and electronic equipment |
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| CN107248221A (en) * | 2017-06-06 | 2017-10-13 | 深圳正品创想科技有限公司 | A kind of newly-increased commodity price determines method, device and vending machine server |
| CN110009400A (en) * | 2019-03-18 | 2019-07-12 | 康美药业股份有限公司 | Merchandise valuation method, terminal and computer readable storage medium |
| CN110197393A (en) * | 2019-04-25 | 2019-09-03 | 好慷(厦门)信息技术有限公司 | Method, apparatus and system are determined based on the zone price of O2O |
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| CN112598457A (en) * | 2020-12-02 | 2021-04-02 | 新石器慧义知行智驰(北京)科技有限公司 | Control method and device for unmanned vending vehicle and unmanned vending vehicle |
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Address after: 200433 room 6015-4, 335 Guo Ding Road, Yangpu District, Shanghai. Applicant after: SHANGHAI QUZHI NETWORK TECHNOLOGY CO.,LTD. Address before: 200433 17th floor, Shanghai Waijing building, 681 xiaomuqiao Road, Xuhui District, Shanghai Applicant before: SHANGHAI QUZHI NETWORK TECHNOLOGY CO.,LTD. |
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Application publication date: 20200922 |
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