CN102402756A - Intelligent clothing business system - Google Patents
Intelligent clothing business system Download PDFInfo
- Publication number
- CN102402756A CN102402756A CN2010102832536A CN201010283253A CN102402756A CN 102402756 A CN102402756 A CN 102402756A CN 2010102832536 A CN2010102832536 A CN 2010102832536A CN 201010283253 A CN201010283253 A CN 201010283253A CN 102402756 A CN102402756 A CN 102402756A
- Authority
- CN
- China
- Prior art keywords
- client
- module
- customer
- business system
- hobby
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The invention relates to an intelligent clothing business system, which comprises an integrated data acquisition module, a purchase preference analysis module, a purchase preference storage module and a customer demand forecasting module. The integrated data acquisition module in communication with a POS (point-of-sale) system, a clothing try-on system and a customer database of a clothing retailer is used for respectively acquiring and storing POS historical purchase record, clothing try-on data and customer data, the purchase preference analysis module is used for analyzing the POS historical purchase record, the clothing try-on data and the customer data and generating customer purchase preference analysis results, the purchase preference storage module is used for building a database for storing the customer purchase preference analysis results, and the customer demand forecasting module is used for forecasting future or current customer demands. The clothing purchase preference of customers is systematically learnt and analyzed by making full use of the POS historical purchase record, the clothing try-on data and the customer data instead of relying on subjective evaluation and experience of the clothing retailer, the analysis results are more accurate, and competiveness of the clothing retailer in the clothing market is improved.
Description
Technical field
The present invention relates to the retail garment industry, more particularly, relate to a kind of intelligent clothing business system.
Background technology
Clothing Retailing Market now, the demand of understanding the client obtains coml for the clothing retailer and successfully plays crucial effects.Clothes business system in the market relates generally to POS (point-of-sales, point of sale) system and CRM (customer relationship management, customer relation management) system.These two kinds of systems only can store the sales transactions record, and buy history based on the client and provide tentatively and analyze.Yet the main weak point of existing P OS system or crm system is following.
1) POS system that uses in the existing industry only can be collected the data of each point of sale, and crm system only can be stored each client's purchaser record, and not to the further analysis that customer service, Products Show and following customer demand plan are provided.
2) for clothes chain store, the historical sales in different cities and shop record is respectively stored in the different pieces of information server.Therefore, expend plenty of time and human resources and merged these huge historical sales records.
3) clothing retailer fails to consider client's the data of trying in its production decision now.But these try hobby and potential purchase expectation that data have reflected the client on.
4) now the retail garment company subjective experience that is based on the clothes purchasing agent customer demand that looks ahead.Most clothing retailers do not take any action hobby and the buying behavior of understanding and analyzing its client, and client's product demand of therefore being planned is not accurate enough.But understanding and expectation client hobby help personalized product to recommend, and promotion strategy, and these all are vital for getting customer loyalty, increase sales and improve retailer's earning rate the same.
Therefore, be necessary to develop a kind of intelligent clothing business system and come to improve effectively all deficiencies.
Summary of the invention
The technical matters that the present invention will solve is; The defective of data and subjective judgement customer demand is disperseed, do not considered to try on to above-mentioned data to existing clothes business system; A kind of intelligent clothing business system is provided; Effectively and analyze the client scientificly and buy hobby, prediction customer demand and personalized product are recommended.
The technical solution adopted for the present invention to solve the technical problems is: construct a kind of intelligent clothing business system, comprising:
The integrated data acquisition module is communicated by letter with clothing retailer's POS system, clothes trying system and customer database, obtains and preserve the historical purchaser record of POS, clothes trying data and customer data respectively;
Buy the hobby analysis module, link to each other, be used for that the historical purchaser record of said POS, clothes trying data and customer data are analyzed the generation client and buy the hobby analysis result with said integrated data acquisition module;
Buy the hobby memory module, link to each other, be used to set up the said client of database storing and buy the hobby analysis result with said purchase hobby analysis module.
In intelligent clothing business system of the present invention; Said intelligent clothing business system also comprises: the customer demand prediction module; Link to each other with purchase hobby analysis module with said integrated data acquisition module; Be used for said client is bought the hobby analysis result, the historical purchaser record of POS, or with try record on and analyze and generate following and current customer demand predicts the outcome.
In intelligent clothing business system of the present invention, said intelligent clothing business system also comprises: the customer demand memory module, link to each other with said customer demand prediction module, and be used to set up the said following customer demand of database storing and predict the outcome.
In intelligent clothing business system of the present invention, said integrated data acquisition module is also communicated by letter to obtain product data with clothing retailer's product database; And said intelligent clothing business system also comprises: client's Products Show module; With said integrated data acquisition module with buy the hobby analysis module and link to each other, be used for said product data and client bought and like analysis result and analyze and generate client's Products Show project.
In intelligent clothing business system of the present invention, said intelligent clothing business system also comprises: the Products Show memory module, link to each other with said client's Products Show module, and be used to set up the said client's Products Show of database storing project.
In intelligent clothing business system of the present invention, said purchase hobby analysis module adopts fuzzy c mean cluster data mining algorithm according to the product feature of client's hobby or client's buying behavior the client to be divided into different groups and buys the hobby analysis result to generate the client.
In intelligent clothing business system of the present invention; Said customer demand prediction module is bought the hobby analysis result based on said client; The historical purchaser record of POS; Or with try record on, adopt the following and current customer demand of error anti-pass nerual network technique in color, size, style and quantitative aspects prediction dress-goods.
In intelligent clothing business system of the present invention, said client's Products Show module is bought the characteristic of liking user preferences in the analysis result based on the client, and searching products generates client's Products Show project for each client in product database.
The intelligent clothing business system of embodiment of the present invention; Have following beneficial effect: the present invention provides a kind of user friendly type operating platform; And make full use of the historical purchaser record of POS, clothes trying data, customer data and product data; 1) analyze the client and buy hobby, 2) produce personalized sales promotion information and Products Show, and 3) system, objective and predict following customer demand exactly.Therefore, the present invention is based on several data and analyze and predict, ensured result's accuracy, promoted clothing retailer's the competitive power in garment market.
Description of drawings
To combine accompanying drawing and embodiment that the present invention is described further below, in the accompanying drawing:
Fig. 1 is the module diagram of intelligent clothing business system in the preferred embodiment of the present invention.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.
See also Fig. 1, be the module diagram of intelligent clothing business system in the preferred embodiment of the present invention.As shown in Figure 1, intelligent clothing business system 100 provided by the invention can be communicated by letter with clothing retailer's POS system 200, clothes trying system 300 and customer database 400, obtains more information so that carry out various analyses and prediction.
Store the historical purchaser record of each point of sale in the POS system 200.Clothes trying system 300 can adopt RFID-intelligence system for trying (for example, on June 29th, 2006 submit to, application number is 200610090589, be entitled as disclosed RFID-intelligence system for trying in the one Chinese patent application of " intelligent dressing system and method ") write down and try data on.Customer database 400 is the client's of clothing retailer's foundation the purchase history and the database of related data data.
As shown in Figure 1, intelligent clothing business system 100 provided by the invention comprises integrated data acquisition module 110 at least, buys hobby analysis module 120 and buys hobby memory module 151.Integrated data acquisition module 110 is communicated by letter with clothing retailer's POS system 200, clothes trying system 300 and customer database 400, obtains and preserve the historical purchaser record of POS, clothes trying data and customer data respectively.Buying hobby analysis module 120 links to each other with integrated data acquisition module 110; From integrated data acquisition module 110, obtain the historical purchaser record of POS, clothes trying data and customer data; And these data are analyzed, generate the client and buy hobby analysis result (PPA-Purchasing preference analysis).Buy hobby analysis module 120 and can the client be divided into different groups based on client's purchase hobby; Buying hobby can be for the characteristic of the product of client's hobby or the characteristic of client's buying behavior, to improve sale through aim at the market strategy and personalized recommendation.This module can adopt fuzzy c mean cluster data mining algorithm to come according to product feature or client's buying behavior of client's hobby the client to be divided into different groups.Buy hobby memory module 151 and link to each other, be used to set up the PPA result that the said purchase hobby of database storing analysis module 120 generates with purchase hobby analysis module 120.
Further, intelligent clothing business system 100 provided by the invention also comprises customer demand prediction module 130 and customer demand memory module 152.Customer demand prediction module 130 links to each other with purchase hobby analysis module 120 with integrated data acquisition module 110; From integrated data acquisition module 110, obtain the historical purchaser record of POS; And the PPA result that hobby analysis module 120 generates is bought in reception; These data are analyzed the following and current customer demand of prediction.Customer demand prediction module 130 adopts customer demand plan engine; Buy the hobby analysis result based on said client; The historical purchaser record of POS; Or with try record on, adopt error anti-pass nerual network technique to predict the following and current customer demand of dress-goods at aspects such as color, size, style and quantity.Customer demand memory module 152 links to each other with customer demand prediction module 130, is used to set up database and stores the following and current customer demand that said customer demand prediction module 130 generates and predict the outcome.
Further, intelligent clothing business system 100 provided by the invention is also obtained the data of clothing retailer's various products, thereby recommends various products to client's hobby specially.Therefore, the integrated data acquisition module 110 in the intelligent clothing business system 100 provided by the invention is also communicated by letter to obtain product data with clothing retailer's product database 500.And intelligent clothing business system 100 also comprises client's Products Show module 140.This client's Products Show module 140 links to each other with purchase hobby analysis module 120 with said integrated data acquisition module 110; From integrated data acquisition module 110, to obtain product data; And combine the PPA result who buys 120 generations of hobby analysis module to analyze, generate client's Products Show project.Client's Products Show module 140 adopts the personalized product recommended engine, based on the characteristic that the client buys user preferences in the hobby analysis result, in product database, searches for proper product to generate client's Products Show project for each client automatically.In addition, this intelligent clothing business system 100 also comprises Products Show memory module 153.This Products Show memory module 153 links to each other with said client's Products Show module 140, is used to set up the said client's Products Show of database storing project.In an embodiment of the present invention, buying hobby memory module 151, customer demand memory module 152 and Products Show memory module 153 is contained in the memory module 150.
Can know that as stated the present invention adopts a) POS database, the b of Data Interchange Technology from the retailer) try database, c on) customer database and/or d) shift the retail data the product database and carry out the client and like and analyze and plan of needs.
In addition; The present invention realizes the synthetic operation platform based on browser/server (Browser/Sewer) structure; This platform sees through historical purchaser record, tries record, customer data and product data on the mode of user friendly type; Generate and buy the hobby analysis result, customer demand predicts the outcome and personalized product is recommended.
In sum, the present invention is based on the data that the client buys dress-goods the hobby that the client buys dress-goods is carried out the understanding and the analysis of system, rather than rely on clothing retailer subjective evaluation and test and experience.The present invention also scientifically predicts the following and current demand for clothes of client, for example for different sizes, color, style and cloth.In addition, the invention provides the browser/server platform of user friendly type and type easy to operate, with the analysis of guiding client's purchasing demand and tomorrow requirement, and automatically recommend suitable dress-goods separately, to promote the sale of clothes to each client.
The present invention describes according to specific embodiment, but it will be understood by those skilled in the art that when not breaking away from the scope of the invention, can carry out various variations and be equal to replacement.In addition, for adapting to the specific occasion or the material of the present invention's technology, can carry out many modifications and not break away from its protection domain the present invention.Therefore, the present invention is not limited to specific embodiment disclosed herein, and comprises that all drop into the embodiment of claim protection domain.
Claims (8)
1. an intelligent clothing business system is characterized in that, comprising:
The integrated data acquisition module is communicated by letter with clothing retailer's POS system, clothes trying system and customer database, obtains and preserve the historical purchaser record of POS, clothes trying data and customer data respectively;
Buy the hobby analysis module, link to each other, be used for that the historical purchaser record of said POS, clothes trying data and customer data are analyzed the generation client and buy the hobby analysis result with said integrated data acquisition module;
Buy the hobby memory module, link to each other, be used to set up the said client of database storing and buy the hobby analysis result with said purchase hobby analysis module.
2. intelligent clothing business system according to claim 1 is characterized in that, said intelligent clothing business system also comprises:
The customer demand prediction module; Link to each other with purchase hobby analysis module with said integrated data acquisition module, be used for said client is bought the hobby analysis result the historical purchaser record of POS; Or with the current record of trying on, analyze and predict following or current customer demand result.
3. intelligent clothing business system according to claim 2 is characterized in that, said intelligent clothing business system also comprises:
The customer demand memory module links to each other with said customer demand prediction module, is used to set up the said following customer demand result of database storing.
4. according to any described intelligent clothing business system in the claim 1 to 3, it is characterized in that said integrated data acquisition module is also communicated by letter to obtain product data with clothing retailer's product database; And said intelligent clothing business system also comprises:
Client's Products Show module with said integrated data acquisition module with buy the hobby analysis module and link to each other, is used for said product data and client bought and likes analysis result and analyze and generate client's Products Show project.
5. intelligent clothing business system according to claim 4 is characterized in that, said intelligent clothing business system also comprises:
The Products Show memory module links to each other with said client's Products Show module, is used to set up the said client's Products Show of database storing project.
6. according to any described intelligent clothing business system in the claim 1 to 3; It is characterized in that said purchase hobby analysis module adopts fuzzy c mean cluster data mining algorithm according to the product feature of client's hobby or client's buying behavior the client to be divided into different groups and buys the hobby analysis result to generate the client.
7. according to claim 2 or 3 described intelligent clothing business systems; It is characterized in that; Said customer demand prediction module is bought the hobby analysis result based on said client; The historical purchaser record of POS, or with the current record of trying on, adopt the following and current customer demand of error anti-pass nerual network technique in color, size, style and quantitative aspects prediction dress-goods.
8. intelligent clothing business system according to claim 4; It is characterized in that; Said client's Products Show module is bought the characteristic of liking user preferences in the analysis result based on the client, and searching products generates client's Products Show project for each client in product database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102832536A CN102402756A (en) | 2010-09-16 | 2010-09-16 | Intelligent clothing business system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102832536A CN102402756A (en) | 2010-09-16 | 2010-09-16 | Intelligent clothing business system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102402756A true CN102402756A (en) | 2012-04-04 |
Family
ID=45884937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102832536A Pending CN102402756A (en) | 2010-09-16 | 2010-09-16 | Intelligent clothing business system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102402756A (en) |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440587A (en) * | 2013-08-27 | 2013-12-11 | 刘丽君 | Personal image designing and product recommendation method based on online shopping |
| CN103559758A (en) * | 2013-11-06 | 2014-02-05 | 上海煦荣信息技术有限公司 | Intelligent vending system and intelligent vending method |
| CN104574095A (en) * | 2013-10-28 | 2015-04-29 | 吴洪贵 | Intelligent fitting management system |
| CN105009156A (en) * | 2012-12-20 | 2015-10-28 | 沃尔玛连锁商店公司 | Framework for generating a personalized item list |
| CN105631692A (en) * | 2014-10-31 | 2016-06-01 | 黄伟 | Novel network shopping sale promotion method and system |
| CN105989037A (en) * | 2015-02-03 | 2016-10-05 | 阿里巴巴集团控股有限公司 | Information display method and device |
| CN106127521A (en) * | 2016-03-23 | 2016-11-16 | 四川长虹电器股份有限公司 | A kind of information processing method and data handling system |
| CN106951448A (en) * | 2017-02-20 | 2017-07-14 | 竹间智能科技（上海）有限公司 | A kind of personalization, which is worn, takes recommendation method and system |
| CN106991595A (en) * | 2017-03-30 | 2017-07-28 | 深圳市格林兄弟科技有限公司 | Clothes management platform processing method and processing device |
| CN108230100A (en) * | 2017-12-29 | 2018-06-29 | 广州唯品会研究院有限公司 | A kind of acquisition methods and device of client's physical size |
| CN108985684A (en) * | 2018-06-29 | 2018-12-11 | 云智衣橱（深圳）科技有限责任公司 | A kind of clothes match the method and system of goods |
| CN109165428A (en) * | 2018-08-08 | 2019-01-08 | 浙江敦奴联合实业股份有限公司 | A kind of intelligent clothing customization platform |
| CN109523339A (en) * | 2018-10-09 | 2019-03-26 | 深圳市十八码服饰文化科技有限公司 | A kind of garment size selection method and device, electronic equipment and storage medium |
| CN109919629A (en) * | 2017-12-13 | 2019-06-21 | 深圳市宇轩网络技术有限公司 | A kind of CRM system and method |
| CN109961329A (en) * | 2017-12-14 | 2019-07-02 | 北京京东尚科信息技术有限公司 | Articles handling method and device, storage medium and electronic equipment |
| CN109960257A (en) * | 2017-12-26 | 2019-07-02 | 丰田自动车株式会社 | Schedule system |
| CN110648186A (en) * | 2018-06-26 | 2020-01-03 | 杭州海康威视数字技术股份有限公司 | Data analysis method, device, equipment and computer readable storage medium |
| CN111553755A (en) * | 2019-02-12 | 2020-08-18 | 阿里巴巴集团控股有限公司 | Data processing product and device |
| CN111566691A (en) * | 2019-09-20 | 2020-08-21 | 钟山 | Intellectual property value management and operation method, device, medium and computing equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140582A (en) * | 2007-09-27 | 2008-03-12 | 中兴通讯股份有限公司 | User preferences generation system and method thereof |
| CN101206751A (en) * | 2007-12-25 | 2008-06-25 | 北京科文书业信息技术有限公司 | Customer recommendation system based on data digging and method thereof |
| CN101482884A (en) * | 2009-01-21 | 2009-07-15 | 华东师范大学 | Cooperation recommending system based on user predilection grade distribution |
| CN101681469A (en) * | 2007-03-31 | 2010-03-24 | 索尼德国有限责任公司 | Method and system for recommending content items |
-
2010
- 2010-09-16 CN CN2010102832536A patent/CN102402756A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101681469A (en) * | 2007-03-31 | 2010-03-24 | 索尼德国有限责任公司 | Method and system for recommending content items |
| CN101140582A (en) * | 2007-09-27 | 2008-03-12 | 中兴通讯股份有限公司 | User preferences generation system and method thereof |
| CN101206751A (en) * | 2007-12-25 | 2008-06-25 | 北京科文书业信息技术有限公司 | Customer recommendation system based on data digging and method thereof |
| CN101482884A (en) * | 2009-01-21 | 2009-07-15 | 华东师范大学 | Cooperation recommending system based on user predilection grade distribution |
Non-Patent Citations (4)
| Title |
|---|
| 姜丽: "模糊C均值聚类的理论与应用研究", 《中国优秀硕士学位论文全文数据库》 * |
| 王新利等: "基于神经网络的农产品物流需求预测研究", 《农业技术经济》 * |
| 赵丽萍: "时尚服装销量BP神经网络预测模型研究", 《经营管理者》 * |
| 齐扬等: "基于数据挖掘的服装推荐系统研究", 《西安工程大学学报》 * |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105009156A (en) * | 2012-12-20 | 2015-10-28 | 沃尔玛连锁商店公司 | Framework for generating a personalized item list |
| CN103440587A (en) * | 2013-08-27 | 2013-12-11 | 刘丽君 | Personal image designing and product recommendation method based on online shopping |
| CN104574095A (en) * | 2013-10-28 | 2015-04-29 | 吴洪贵 | Intelligent fitting management system |
| CN103559758A (en) * | 2013-11-06 | 2014-02-05 | 上海煦荣信息技术有限公司 | Intelligent vending system and intelligent vending method |
| CN103559758B (en) * | 2013-11-06 | 2015-12-30 | 上海煦荣信息技术有限公司 | A kind of intelligentized vending system and good selling method |
| CN105631692A (en) * | 2014-10-31 | 2016-06-01 | 黄伟 | Novel network shopping sale promotion method and system |
| CN105989037A (en) * | 2015-02-03 | 2016-10-05 | 阿里巴巴集团控股有限公司 | Information display method and device |
| CN106127521A (en) * | 2016-03-23 | 2016-11-16 | 四川长虹电器股份有限公司 | A kind of information processing method and data handling system |
| CN106951448A (en) * | 2017-02-20 | 2017-07-14 | 竹间智能科技（上海）有限公司 | A kind of personalization, which is worn, takes recommendation method and system |
| CN106991595A (en) * | 2017-03-30 | 2017-07-28 | 深圳市格林兄弟科技有限公司 | Clothes management platform processing method and processing device |
| CN109919629A (en) * | 2017-12-13 | 2019-06-21 | 深圳市宇轩网络技术有限公司 | A kind of CRM system and method |
| CN109961329A (en) * | 2017-12-14 | 2019-07-02 | 北京京东尚科信息技术有限公司 | Articles handling method and device, storage medium and electronic equipment |
| CN109960257A (en) * | 2017-12-26 | 2019-07-02 | 丰田自动车株式会社 | Schedule system |
| CN108230100A (en) * | 2017-12-29 | 2018-06-29 | 广州唯品会研究院有限公司 | A kind of acquisition methods and device of client's physical size |
| CN110648186A (en) * | 2018-06-26 | 2020-01-03 | 杭州海康威视数字技术股份有限公司 | Data analysis method, device, equipment and computer readable storage medium |
| CN110648186B (en) * | 2018-06-26 | 2022-07-01 | 杭州海康威视数字技术股份有限公司 | Data analysis method, device, equipment and computer readable storage medium |
| CN108985684A (en) * | 2018-06-29 | 2018-12-11 | 云智衣橱（深圳）科技有限责任公司 | A kind of clothes match the method and system of goods |
| CN109165428A (en) * | 2018-08-08 | 2019-01-08 | 浙江敦奴联合实业股份有限公司 | A kind of intelligent clothing customization platform |
| CN109523339A (en) * | 2018-10-09 | 2019-03-26 | 深圳市十八码服饰文化科技有限公司 | A kind of garment size selection method and device, electronic equipment and storage medium |
| CN111553755A (en) * | 2019-02-12 | 2020-08-18 | 阿里巴巴集团控股有限公司 | Data processing product and device |
| CN111566691A (en) * | 2019-09-20 | 2020-08-21 | 钟山 | Intellectual property value management and operation method, device, medium and computing equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102402756A (en) | Intelligent clothing business system | |
| Hu et al. | Liking and following and the newsvendor: Operations and marketing policies under social influence | |
| Mostard et al. | Forecasting demand for single-period products: A case study in the apparel industry | |
| EP2916267A1 (en) | Space planning and optimization | |
| MXPA03003102A (en) | Method and system for allocating shelf space. | |
| Raju | Theoretical models of sales promotions: Contributions, limitations, and a future research agenda | |
| US10142187B2 (en) | Predicting an effect of performing an action on a node of a geographical network | |
| Renjith | An integrated framework to recommend personalized retention actions to control B2C E-commerce customer churn | |
| Hemalatha | Market basket analysis–a data mining application in Indian retailing | |
| Mesforoush et al. | Customer profitability segmentation for SMEs case study: network equipment company | |
| US20140372178A1 (en) | Correlating product sales to store segmentation | |
| CN112070551A (en) | Retail outlet site selection algorithm based on regional analysis | |
| Nagaraja et al. | Consumer buying decision process in Indian organized retail industry-Characterization of male and female respondents | |
| KR20190077164A (en) | Fresh meat distribution system with big data for automatic forecasting | |
| Pirani et al. | Analysis and optimization of online sales of products | |
| Day et al. | Profitability in product line pricing and composition with manufacturing commonalities | |
| Tabaei et al. | Measuring and analysing customer satisfaction with multi-criteria satisfaction analysis (MUSA) model: an electronic retailing case study | |
| US10607175B2 (en) | Automatically analyzing complexity or simplicity and performing an action based on the complexity or the simplicity | |
| Hamzehei et al. | A new methodology to study customer electrocardiogram using RFM analysis and clustering | |
| Zuo et al. | Using statistical learning theory for purchase behavior prediction via direct observation of in-store behavior | |
| Nanakali et al. | The impact of digital market upon accounting profit of physical market: An exploratory study of the opinions of a group of retailers in Erbil, Kurdistan region | |
| Lee et al. | Utilising Machine Learning Approaches to Develop Price Optimisation and Demand Prediction Model for Multiple Products with Demand Correlation | |
| Demiriz | Demand Forecasting based on Pairwise Item Associations | |
| Tawde et al. | Optimization of SCM process using evolutionary algorithm on SVR | |
| Priyanka et al. | A competitive intelligence measures in business forecast with renewable intensity sources |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20120404 |