CN110163681A - A kind of big method of potential analysis of product based on e-commerce platform and system - Google Patents
A kind of big method of potential analysis of product based on e-commerce platform and system Download PDFInfo
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- CN110163681A CN110163681A CN201910440921.2A CN201910440921A CN110163681A CN 110163681 A CN110163681 A CN 110163681A CN 201910440921 A CN201910440921 A CN 201910440921A CN 110163681 A CN110163681 A CN 110163681A
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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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]
- G06Q30/0607—Regulated
Abstract
The present invention discloses a kind of big method of potential analysis of the product based on e-commerce platform, comprising the following steps: a, collects all product-related datas of user and stores；B, related data and storage of all products of user in sales platform are collected；C, single product and simultaneous selection time dimension are selected, the true sales volume and the platform commodity classification ranking of the selected dimension product are compared；D, the selected true sales volume tendency chart of product and the selected product are generated in the classification ranking tendency chart of platform and shows comparison conclusion.The present invention by the comparative analysis of the general trend of events, can inventory to oneself or stock situation be adjusted, guidance sale.
Description
Technical field
The invention belongs to product analysis fields, and in particular to a kind of big method of potential analysis of product based on e-commerce platform
And system.
Background technique
The big potential analysis of product is the comparative analysis of the sales trend of a certain product or several products based on sales platform.Base
In the obtained conclusion of analysis, user can inventory to oneself or stock situation be adjusted, guidance sale.Currently, common production
Product marketing analysis contributes to oneself compared with oneself, it is concluded that the sale conclusion with entire platform has certain take off
Section, conclusion inaccuracy.Such conclusion can cause certain loss when the later period instructing to sell to user.
Summary of the invention
The technical problems to be solved by the invention are in view of the above shortcomings of the prior art, to provide a kind of based on electronics quotient
Be engaged in the big method of potential analysis of product and system of platform, by the comparative analysis of the general trend of events, can inventory to oneself or stock situation into
Row is adjusted, guidance sale.
The technical scheme adopted by the invention is that: a kind of big method of potential analysis of product based on e-commerce platform, including
Following steps:
A, all product-related datas of user are collected and are stored；
B, related data and storage of all products of user in sales platform are collected；
C, single product and simultaneous selection time dimension are selected, the true sales volume and platform for comparing the selected dimension product should
Commodity classification ranking；
D, the selected true sales volume tendency chart of product and the selected product are generated in the classification ranking tendency chart of platform and is shown
Show comparison conclusion.
In one embodiment, in step a neutralization procedure b, product-related data include product information, the sales date and
True sales volume, the classification ranking in platform.
In one embodiment, in step a in-step c, time dimension is day, week or the moon.
In one embodiment, in step a in-step c, core time dimension is day.
In one embodiment, in step c, the comparison conclusion be true sales volume ascending, descending or steady conclusion with
The ascending, descending of classification ranking or the comparison of steady conclusion.
The product general trend of events analysis system based on e-commerce platform that the invention also discloses a kind of, comprising:
User data collection module, for collecting all product-related datas of user and storing；
Platform data collection module for all product-related datas of collecting platform and stores；
Contrast module compares the selected dimension user product for selecting single product and simultaneous selection time dimension
True sales volume and the true sales volume of the platform commodity；
Conclusion generation module, for generating the selected true sales volume curve graph of product and the selected product in the classification of platform
Ranking curve graph simultaneously shows comparison conclusion.
The beneficial effects of the present invention are:
1, can intuitively show big potential analysis as a result, convenient for inquiry and comparison；
2, by the conclusion obtained, can inventory to oneself or stock situation be adjusted, guidance sale；
3, it is combined with product general trend of events comparative analysis, product result Producing reason can be made a concrete analysis of out.
Specific embodiment
Below in conjunction with specific embodiment, invention is further described in detail.
The invention discloses a kind of big method of potential analysis of the product based on e-commerce platform, comprising the following steps:
A kind of big method of potential analysis of product based on e-commerce platform, comprising the following steps:
Step 1: collecting all product-related datas of user and storing；
Step 2: collecting related data and storage of all products of user in sales platform；
Step 3: selection single product and simultaneous selection time dimension, compare the true sales volume of the selected dimension product with
The platform commodity classification ranking；
Step 4: generating the selected true sales volume tendency chart of product and the selected product in the classification ranking tendency chart of platform
And show comparison conclusion.
In the present embodiment, in step 1 neutralization procedure two, product-related data includes product information, sales date and true
Sales volume, the classification ranking in platform.
In the present embodiment, in step 1-step 3 in, time dimension be day, week or the moon.
In the present embodiment, in step 1-step 3 in, core time dimension be day.
In the present embodiment, in step 3, the comparison conclusion is that the ascending, descending of true sales volume or steady conclusion are arranged with classification
The ascending, descending of name or the comparison of steady conclusion.
The product general trend of events analysis system based on e-commerce platform that the invention also discloses a kind of, comprising:
User data collection module, for collecting all product-related datas of user and storing；
Platform data collection module for all product-related datas of collecting platform and stores；
Contrast module compares the selected dimension user product for selecting single product and simultaneous selection time dimension
True sales volume and the true sales volume of the platform commodity；
Conclusion generation module, for generating the selected true sales volume curve graph of product and the selected product in the classification of platform
Ranking curve graph simultaneously shows comparison conclusion.
The present invention can intuitively show big potential analysis as a result, convenient for inquiry and comparison；It, can be right by the conclusion obtained
The inventory or stock situation of oneself are adjusted, guidance sale；Want to combine with product general trend of events comparative analysis, can make a concrete analysis of and produce
Product result Producing reason.
The present invention can intuitively show big potential analysis as a result, convenient for inquiry and comparison；It, can be right by the conclusion obtained
The inventory or stock situation of oneself are adjusted, guidance sale；It is combined with product general trend of events comparative analysis, can make a concrete analysis of and produce
Product result Producing reason.
The comparison conclusion that this analysis method obtains converges in comparison process and is true sales volume, and conclusion is true sales volume
Ascending, descending or steady conclusion and the ascending, descending of classification ranking or the comparison of steady conclusion, therefore combination of two, can obtain coldest days of the year end kind conclusion.
Wherein, in an opposite time cycle (in 1 to 2 weeks), true sales volume occurs increasing or decline, but classification ranking it is constant or
When contrary, general trend of events inflection point can be judged in advance, and sales force can be helped quickly to adjust stock strategy at this time.
True sales volume increases, while classification ranking also rises, and illustrates to improve the relevant sales tactics of the product playing
Positive effect, has surmounted competing product.
True sales volume decline, while classification ranking also declines, and illustrates that the product there is a problem in sales process, it is competing
Product is striven to surmount.
Time dimension is day, week or the moon, is optionally compared, so that big potential analysis is more intuitive.
A specific embodiment of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.
Claims (6)
1. a kind of big method of potential analysis of product based on e-commerce platform, which comprises the following steps:
A, all product-related datas of user are collected and are stored；
B, related data and storage of all products of user in sales platform are collected；
C, single product and simultaneous selection time dimension are selected, the true sales volume and the platform commodity of the selected dimension product are compared
Classification ranking；
D, the classification ranking tendency chart and display pair of the selected true sales volume tendency chart of product and the selected product in platform are generated
Compare conclusion.
2. the big method of potential analysis of a kind of product based on e-commerce platform according to claim 1, which is characterized in that step
In rapid a neutralization procedure b, product-related data includes product information, sales date and true sales volume, the classification in platform
Ranking.
3. the big method of potential analysis of a kind of product based on e-commerce platform according to claim 2, which is characterized in that step
In rapid a-step c in, time dimension is day, week or the moon.
4. the big method of potential analysis of a kind of product based on e-commerce platform according to claim 1, which is characterized in that step
In rapid a-step c in, core time dimension is day.
5. the big method of potential analysis of a kind of product based on e-commerce platform according to claim 4, which is characterized in that step
In rapid c, the comparison conclusion is the ascending, descending of true sales volume or the ascending, descending of steady conclusion and classification ranking or steady conclusion
Comparison.
6. a kind of product general trend of events analysis system based on e-commerce platform characterized by comprising
User data collection module, for collecting all product-related datas of user and storing；
Platform data collection module for all product-related datas of collecting platform and stores；
Contrast module compares the true of the selected dimension user product for selecting single product and simultaneous selection time dimension
Sales volume and the true sales volume of the platform commodity；
Conclusion generation module, for generating the selected true sales volume curve graph of product and the selected product in the classification ranking of platform
Curve graph simultaneously shows comparison conclusion.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910440921.2A CN110163681A (en) | 2019-05-24 | 2019-05-24 | A kind of big method of potential analysis of product based on e-commerce platform and system |
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| CN201910440921.2A CN110163681A (en) | 2019-05-24 | 2019-05-24 | A kind of big method of potential analysis of product based on e-commerce platform and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112884520A (en) * | 2021-03-09 | 2021-06-01 | 拉扎斯网络科技（上海）有限公司 | Object processing method, device, electronic equipment, storage medium and program product |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8001141B1 (en) * | 2007-03-29 | 2011-08-16 | A9.Com, Inc. | Relevance scores for result ranking and arrangement |
| CN104778207A (en) * | 2015-03-11 | 2015-07-15 | 张翔 | Comprehensive search engine method for online shopping and system thereof |
| CN105760446A (en) * | 2016-02-03 | 2016-07-13 | 杭州驭猫科技有限公司 | Big data analysis method for shopping website |
| CN106408397A (en) * | 2016-10-10 | 2017-02-15 | 合肥红珊瑚软件服务有限公司 | Electronic commerce system |
-
2019
- 2019-05-24 CN CN201910440921.2A patent/CN110163681A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8001141B1 (en) * | 2007-03-29 | 2011-08-16 | A9.Com, Inc. | Relevance scores for result ranking and arrangement |
| CN104778207A (en) * | 2015-03-11 | 2015-07-15 | 张翔 | Comprehensive search engine method for online shopping and system thereof |
| CN105760446A (en) * | 2016-02-03 | 2016-07-13 | 杭州驭猫科技有限公司 | Big data analysis method for shopping website |
| CN106408397A (en) * | 2016-10-10 | 2017-02-15 | 合肥红珊瑚软件服务有限公司 | Electronic commerce system |
Non-Patent Citations (1)
| Title |
|---|
| 俞国红: "《SEO搜索引擎优化》", 30 June 2017, 北京理工大学出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112884520A (en) * | 2021-03-09 | 2021-06-01 | 拉扎斯网络科技（上海）有限公司 | Object processing method, device, electronic equipment, storage medium and program product |
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Application publication date: 20190823 |
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