CN111402009A - Intelligent shopping method - Google Patents
Intelligent shopping method Download PDFInfo
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- CN111402009A CN111402009A CN202010250025.2A CN202010250025A CN111402009A CN 111402009 A CN111402009 A CN 111402009A CN 202010250025 A CN202010250025 A CN 202010250025A CN 111402009 A CN111402009 A CN 111402009A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000008569 process Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 abstract description 7
- 238000012986 modification Methods 0.000 description 3
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- 238000010586 diagram Methods 0.000 description 1
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- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
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- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
- G06Q30/0625—Directed, with specific intent or strategy
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- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
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Abstract
The embodiment of the invention discloses an intelligent shopping method, which comprises the following steps: the method comprises the steps of recording price data of commodities in a market, establishing a price database, inputting commodities to be purchased through a mobile terminal, connecting the price database through a wireless network, deriving a commodity price list, making a shopping guide according to the price list data, finishing shopping according to the shopping guide by a shopper, making a corresponding shopping guide according to the price change condition of the commodities in half a year when the shopping guide is used, and further enabling the user to purchase the commodities on days with lower prices according to the shopping guide.
Description
Technical Field
The invention relates to the technical field of shopping, in particular to an intelligent shopping method.
Background
With the rapid development of the internet, the living standard of people is greatly improved, wherein the online shopping is a product of the rapid development of the internet, the occurrence of the online shopping causes great impact on the physical store, the price is gradually transparent, and the problem of indiscriminate pricing of the physical store is greatly solved, but the online shopping has certain risk, so that more and more people begin to like purchasing commodities in the physical store.
When people go to a market to shop, products in the market have large price fluctuation along with the change of the market and the influence of various promotion activities, so that a shopper cannot know the change of the price of the products in time, and the problem of buying the products at a high price during shopping is caused.
Disclosure of Invention
Therefore, the embodiment of the invention provides an intelligent shopping method to solve the problem that in the prior art, due to large fluctuation of market products, a shopper cannot know price change in time and cannot purchase goods at a more favorable price.
In order to achieve the above object, an embodiment of the present invention provides the following:
an intelligent shopping method, comprising the steps of:
s100, recording price data of market commodities and establishing a price database;
s200, inputting commodities to be purchased through a mobile terminal;
s300, connecting a price database through a wireless network, and exporting a purchase commodity price list;
s400, a shopping guide is made according to the price list data, and the shopper finishes shopping according to the shopping guide.
As a preferable scheme of the present invention, the mode of inputting the commodity to be searched at the mobile terminal includes keyword search input and voice input.
As a preferable aspect of the present invention, the process of creating the shopping guide includes:
s401, inquiring price data of the commodity to be purchased in half a year according to the input commodity information;
s402, selecting commodity prices of holidays and public holidays, and comparing prices of products purchased on the same day;
and S403, deducing the lowest price date of the commodity closest to the shopping date according to the comparison result, and finishing the establishment of the shopping guide.
As a preferable aspect of the present invention, the current shopping price is higher than an average of holiday and holiday prices of the inquired product in half a year, and then, a purchase is recommended on the next holiday or holiday, and the current shopping price is lower than an average of holiday and holiday prices of the inquired product in half a year, then, a purchase is recommended on the current shopping date.
In a preferred embodiment of the present invention, the purchase of the product on the next holiday is recommended when the number of days of change of the holiday in the half year is less than 20% of the total number of days of holiday in the half year, and the purchase of the product on the next holiday or holiday is recommended when the number of days of change of the holiday in the half year is more than 20% of the total number of days of holiday in the half year.
As a preferable scheme of the invention, the mobile terminal comprises a GPS positioning module (2), a processor (1), a display screen, a storage battery and a wireless signal transceiver module (3), and the processor (1) is electrically connected with the storage battery, the GPS positioning module (2), the wireless signal transceiver module (3) and the display screen respectively.
As a preferable scheme of the invention, the method for shopping and searching the position of the commodity comprises the following steps:
s500, establishing a market model, and establishing a commodity position database according to the position of a commodity;
s501, determining to purchase commodities, and connecting the commodities to a commodity position database through a wireless network;
s502, determining the position of the commodity according to the commodity position database, and making a shopping path;
and S503, finding the commodity according to the shopping path to finish shopping.
As a preferable aspect of the present invention, the step of guiding the shopper through the shopping route comprises:
s504, determining the position of the shopper through a GPS, and comparing the position with the established shopping path;
s505, judging whether the shopper deviates from a preset shopping path according to the comparison result;
and S506, re-establishing the shopping path according to the judgment result and the current position of the shopper.
As a preferable aspect of the present invention, the condition for judging that the shopper deviates from the preset shopping path is: the shopper deviates from the predetermined shopping path by one intersection.
The embodiment of the invention has the following advantages:
when the shopping guide is used, the corresponding shopping guide can be made according to the price change condition of the commodity in half a year, so that a user can purchase the commodity in a day with a lower price according to the shopping guide, the problem that the commodity is easy to purchase at a higher price when the user purchases the commodity due to larger price fluctuation of the commodity can be effectively solved, the made shopping path is matched when the shopping guide is used, the time wasted by the user for searching the commodity during shopping can be greatly saved, and the shopping can be easier.
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 shopping flow diagram of the present invention;
FIG. 2 is a flow chart of the present invention for finding merchandise.
In the figure:
1-a processor; 2-a GPS positioning module; and 3, a wireless signal transceiving module.
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.
As shown in fig. 1 and fig. 2, an embodiment of the present invention provides an intelligent shopping method, including the following steps:
s100, recording price data of market commodities and establishing a price database;
s200, inputting commodities to be purchased through a mobile terminal;
s300, connecting a price database through a wireless network, and exporting a purchase commodity price list;
s400, a shopping guide is made according to the price list data, and the shopper finishes shopping according to the shopping guide.
The mode of inputting the commodity to be searched at the mobile terminal comprises keyword searching input and voice input, the input mode can be correspondingly adjusted according to different user groups, and the mobile terminal can be a mobile phone, a tablet personal computer or other electronic equipment.
The process of making the shopping guide comprises the following steps:
s401, inquiring price data of the commodity to be purchased in half a year according to the input commodity information;
s402, selecting commodity prices of holidays and public holidays, and comparing prices of products purchased on the same day;
and S403, deducing the lowest price date of the commodity closest to the shopping date according to the comparison result, and finishing the establishment of the shopping guide.
And if the current shopping price is lower than the average value of the holiday and the holiday price in half a year of the inquired commodity, recommending to purchase on the next holiday or holiday.
And recommending the next holiday or holiday for purchasing the commodity if the price variation day of the holiday in the half year is less than 20% of the total number of the holidays in the half year, and recommending the next holiday or holiday for purchasing the commodity if the price variation day of the holiday in the half year is more than 20% of the total number of the holidays in the half year, wherein when the specific preferential date of the commodity is inquired, the commodity is directly recommended to be purchased on the preferential date.
The mobile terminal can set a price threshold value to prevent the date with the next discount from appearing after connecting with the price database, namely, after the mobile terminal is connected with the price database, the price of the acquired commodity is lower than the price when inquiring the commodity, the user is reminded to purchase, and the date with the discount is avoided from being missed.
In order to further ensure the richness of the established shopping guide, the price of the commodity on the network can be inquired in the actual using process, the price is compared with the price of a shopping mall, and a proper shopping guide is pushed to the user according to the comparison result, wherein the factors considered by the shopping guide comprise the evaluation of the commodity on the network, the price of the commodity, the time spent in express delivery of the commodity and after-sales service.
Remove the end and include GPS orientation module 2, treater 1, display screen, battery and wireless signal transceiver module 3, treater 1 respectively with battery, GPS orientation module 2, wireless signal transceiver module (3) and display screen electric connection.
The method for shopping to find the position of the commodity comprises the following steps:
s500, establishing a market model, and establishing a commodity position database according to the position of a commodity;
s501, determining to purchase commodities, and connecting the commodities to a commodity position database through a wireless network;
s502, determining the position of the commodity according to the commodity position database, and making a shopping path;
and S503, finding the commodity according to the shopping path to finish shopping.
The shopping path can be adjusted according to the actual situation, namely the shopping path is adjusted according to the position of the user which finally needs to go out of the shopping mall.
The step of guiding the shopper through the shopping path includes:
s504, determining the position of the shopper through a GPS, and comparing the position with the established shopping path;
s505, judging whether the shopper deviates from a preset shopping path according to the comparison result;
and S506, re-establishing the shopping path according to the judgment result and the current position of the shopper.
The condition for judging the deviation of the shopper from the preset shopping path is as follows: the shopper deviates from the predetermined shopping path by one intersection.
In order to avoid the problem that when a user searches for articles according to a formulated shopping path, the user is influenced by the floors of a market and inaccurate positioning occurs, the movable end is additionally provided with the electronic tag, an electronic tag card reader is additionally arranged at a passage between the floors of the market, the electronic tag card reader is preferably a remote electronic tag card reader, and the user can be guided by rapidly switching the floors when passing through the electronic tag card reader.
In order to prevent the problem that the floor where the user is located is difficult to judge caused by the fact that the user stays at a passage between a shopping mall floor and the floor, at least two electronic tag card readers are arranged, when the electronic tag card readers are used, the position of the user is determined through the electronic tag card readers, the moving direction of the user is judged through the detected signal intensity changing direction, and the floor where the user is located at present is further judged according to the moving direction of the user.
The whole shopping process comprises the steps of connecting a market price database, inquiring the price condition of input commodities in half a year, pushing a corresponding shopping guide according to the price condition, determining the commodities purchased at the current date according to the pushed shopping guide by a user, then connecting a commodity position database, pushing a shopping path according to the current position of the user, and finishing the purchase of the commodities by the user according to the pushed shopping path.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. An intelligent shopping method, characterized in that the shopping method comprises the following steps:
s100, recording price data of market commodities and establishing a price database;
s200, inputting commodities to be purchased through a mobile terminal;
s300, connecting a price database through a wireless network, and exporting a purchase commodity price list;
s400, a shopping guide is made according to the price list data, and the shopper finishes shopping according to the shopping guide.
2. The intelligent shopping method as claimed in claim 1, wherein the manner of inputting the desired commodity at the mobile terminal includes keyword search input and voice input.
3. The intelligent shopping method according to claim 1, wherein the process of creating the shopping guide comprises:
s401, inquiring price data of the commodity to be purchased in half a year according to the input commodity information;
s402, selecting commodity prices of holidays and public holidays, and comparing prices of products purchased on the same day;
and S403, deducing the lowest price date of the commodity closest to the shopping date according to the comparison result, and finishing the establishment of the shopping guide.
4. The intelligent shopping method as claimed in claim 3, wherein if the current shopping price is higher than the average of the holiday and the holiday prices of the inquired goods in half a year, then the purchase is recommended on the next holiday or holiday, and if the current shopping price is lower than the average of the holiday and the holiday prices of the inquired goods in half a year, then the purchase is recommended on the current shopping date.
5. The intelligent shopping method as claimed in claim 4, wherein if the price variation days of the commodity on the holidays in half a year is less than 20% of the total number of holidays in half a year, the next holiday purchase is recommended, and if the price variation days of the commodity on the holidays in half a year is more than 20% of the total number of holidays in half a year, the next holiday or holiday purchase is recommended.
6. The intelligent shopping method according to claim 1, wherein the mobile terminal comprises a GPS positioning module (2), a processor (1), a display screen, a storage battery and a wireless signal transceiver module (3), and the processor (1) is electrically connected with the storage battery, the GPS positioning module (2), the wireless signal transceiver module (3) and the display screen respectively.
7. The intelligent shopping method as claimed in claim 1, wherein the method for shopping to find the location of the commodity comprises:
s500, establishing a market model, and establishing a commodity position database according to the position of a commodity;
s501, determining to purchase commodities, and connecting the commodities to a commodity position database through a wireless network;
s502, determining the position of the commodity according to the commodity position database, and making a shopping path;
and S503, finding the commodity according to the shopping path to finish shopping.
8. The intelligent shopping method as claimed in claim 7, wherein the step of guiding the shopper through the shopping path comprises:
s504, determining the position of the shopper through a GPS, and comparing the position with the established shopping path;
s505, judging whether the shopper deviates from a preset shopping path according to the comparison result;
and S506, re-establishing the shopping path according to the judgment result and the current position of the shopper.
9. The intelligent shopping method as claimed in claim 8, wherein the condition for determining that the shopper deviates from the preset shopping path is: the shopper deviates from the predetermined shopping path by one intersection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010250025.2A CN111402009A (en) | 2020-04-01 | 2020-04-01 | Intelligent shopping method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010250025.2A CN111402009A (en) | 2020-04-01 | 2020-04-01 | Intelligent shopping method |
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|---|---|
| CN111402009A true CN111402009A (en) | 2020-07-10 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202010250025.2A Pending CN111402009A (en) | 2020-04-01 | 2020-04-01 | Intelligent shopping method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200636A (en) * | 2020-10-24 | 2021-01-08 | 朱丽勤 | Intelligent shopping recommendation method based on big data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007248308A (en) * | 2006-03-16 | 2007-09-27 | Pioneer Electronic Corp | Route search device, route search method, route search program, and recording medium |
| US20110144908A1 (en) * | 2009-12-10 | 2011-06-16 | Dorothy Cheong | Method of locating nearby low priced items using a personal navigation device |
| CN107767170A (en) * | 2017-09-20 | 2018-03-06 | 上海集成电路研发中心有限公司 | A kind of smart shopper system and its application method |
| CN109118325A (en) * | 2018-08-02 | 2019-01-01 | 广州友米科技有限公司 | More electric business shopping saving systems and real-time price comparing method |
| CN109636454A (en) * | 2018-12-05 | 2019-04-16 | 广州市弹弹旦电子商务有限公司 | A kind of commodity method for pushing based on zone user habit big data |
-
2020
- 2020-04-01 CN CN202010250025.2A patent/CN111402009A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007248308A (en) * | 2006-03-16 | 2007-09-27 | Pioneer Electronic Corp | Route search device, route search method, route search program, and recording medium |
| US20110144908A1 (en) * | 2009-12-10 | 2011-06-16 | Dorothy Cheong | Method of locating nearby low priced items using a personal navigation device |
| CN107767170A (en) * | 2017-09-20 | 2018-03-06 | 上海集成电路研发中心有限公司 | A kind of smart shopper system and its application method |
| CN109118325A (en) * | 2018-08-02 | 2019-01-01 | 广州友米科技有限公司 | More electric business shopping saving systems and real-time price comparing method |
| CN109636454A (en) * | 2018-12-05 | 2019-04-16 | 广州市弹弹旦电子商务有限公司 | A kind of commodity method for pushing based on zone user habit big data |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200636A (en) * | 2020-10-24 | 2021-01-08 | 朱丽勤 | Intelligent shopping recommendation method based on big data |
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Application publication date: 20200710 |