基于ETL-KETTLE的贵州卷烟营销大数据分析及可视化

为了实现对贵州卷烟销售大数据的分析及可视化,基于开源数据分析工具KETTLE构建了ETL过程模型,对现有的卷烟销售基础大数据进行抽取、转换、加载,形成分析型数据,快速高效地实现了数据集成.经过ETL处理的集成数据,为卷烟销售大数据可视化系统及进一步的数据挖掘、决策支持提供了数据基础.同时,采用GIS平台构建和可视化技术,设计并实现了卷烟销售大数据可视化分析系统,为企业的数据分析和决策支持提供了数据展示及分析平台.     

基于Flask框架的社交网站数据爬取及分析

以一个社交问答平台为研究对象,分析该平台数据获取的难点和解决方案,设计并实现一个数据爬取系统,该系统能够在多平台下抓取和存储数据.在此基础上,还设计并实现一个热度分析模块.该模块可以显示历史热度和趋势热度.实验结果表明,该系统完全达到了设计目标.     

企业生产经营管理系统的研究与实现

分析了企业生产经营过程中合同、项目之间关系,构建以合同为中心,实现项目、合同、资金、票据、物资等基础信息资料、数据关联的企业生产经营管理系统。研究了基于Java平台和开源框架构建可复用框架,阐述了系统支持的基于项目管理的业务流程。最后给出了系统实例和未来扩展的展望。     

引导企业建立自身的智力资产管理系统--清软英泰TiPLM功能介绍

一、产品定位 TiPLM系统面向产品和过程管理,其根本目标在于支持企业创新,使新产品创意从概念变成现实.TiPLM系统作为企业基础信息服务、数据和过程管理平台,提供包括市场销售、概念设计、产品设计、工艺设计、生产制造、产品交付以及维修服务等产品各个生命周期阶段的多层面、多目标的服务.     

基于AI人脸识别技术的数字化消费者运营平台设计与实现

为解决传统烟草营销系统应用中存在的会员拉新流程烦琐、消费数据沉淀难、会员运营能力弱等问题,基于人工智能（Artificial Intelligence,AI）人脸识别技术设计了数字化消费者运营平台。平台以AI人脸识别技术,利用刷脸即会员,聚焦双面屏终端设备,让双面屏从一个单一的管理终端变成一个集支付终端、会员拉新、数据采集等于一体的一站式消费者运营平台,设计实现刷脸支付拉新、形成数据安全沉淀、数据运营分析,并高度重视提升系统安全、数据安全。结果表明,该平台有效拓宽了营销智慧终端的管理途径,提高了零售户数字化消费者运营能力水平。     

基于Android的物流与财务管理系统的设计与实现

针对大多数企业的物流与财务信息的管理系统一般运行在电脑客户端上,不便于销售人员与财务人员实时进行数据整理与分析的情况,提出在手机等移动终端上开发一个基于Android平台的物流与财务管理系统。依据实际需求,将该系统分为客户端与服务器端,然后分析相关算法和设计,如成本计算方法、损益结转和数据预取设计。实验结果表明,该系统可以满足销售及财务人员随时查看、分析并处理相关信息的需求。     

基于Delphi2010高职院校医务所药品管理系统的设计与实现

该系统是实现高职院校药品销售管理系统,该系统以Delphi 2010为开发平台,支持Access数据库,功能有:药品维护、销售管理、库存管理、数据统计/报表、系统初始化、系统维护六大模块。该系统特色有:操作简单,界面整洁,功能强大,人性化设计,故有广泛的应用前景,解决了高职院校医务所中目前存在的药品管理和医疗卫生数据统计难题。     

基于WEB的机械设备企业销售合同管理系统研究

针对某大型机械设备企业销售合同管理进行系统分析,以一个销售合同管理信息系统在企业内部的具体实现为背景,针对其业务特点探讨了在设计过程中一些非常实用的关键技术,为开发复杂MIS系统尤其是同类大型机械设备企业的MIS系统提供了较方便的途径。     

基于SoC芯片的嵌入式医学检测设备平台设计

本文将嵌入式系统应用于医学检测设备的开发中,设计了以SoC芯片为核心的嵌入式医学检测设备平台,介绍并探讨了其软硬件系统的基本原理、设计思想、实现方法,并在最后介绍了一个实用的例子。通过医学检测设备软硬件平台,可有效避免设备开发时的重复工作,减少系统的研发时间和成本,缩短推出新产品的时间。     

企业销售状况动态预测系统的设计与实现

以可视化程序设计语言为开发平台,提出了一种基于求和自回归滑动平均模型(ARIMA)的销售状况动态预测系统设计方案,介绍了系统的组成和程序设计的思想.该系统具有销售数据库维护、更新、查询和销售状况预测两大功能模块,并且将销售数据库与预测模型建立了关联,从而实现了根据销售数据库的实时数据对预测模型进行动态更新,达到了较好的预测精度.在实际生产中的应用结果表明:该系统操作简单,方便实用,取得了较好的效果. .     

A quantitative correlation coefficient mining method for business intelligence in small and medium enterprises of trading business

Business intelligence based on data mining has been one of the popular and indispensable tools for identifying business opportunity in sales and marketing of new products. The traditional data mining methods based on association rules may be inadequate in completely uncovering the hidden patterns of sales based on transaction records. This paper presents a qualitative correlation coefficient mining method which is capable of uncovering hidden patterns of sales and market. Hence, a prototype business intelligence system (BIS) named correlation coefficient sales data mining system (CCSDMS) has been developed and successfully trial implemented in a selected reference site. A series of experiments have been conducted to evaluate the performance of the proposed system. The results generated by the BIS are compared with a well known market available data mining system. The proposed quantitative correlation coefficient mining method is found to possess higher accuracy, better computational effectiveness and higher predictive power. With the new approach, associations for product relations and customer periodic demands are revealed and this can help to leverage organizational marketing capital to enhance quality and speed of promotions as well as awareness of product relations.     

Mining association rules procedure to support on-line recommendation by customers and products fragmentation

Electronic Commerce (EC) has offered a new channel for instant on-line shopping. However, there are too many various products available from a great number of virtual stores on the Internet for Internet shoppers to select. On-line one-to-one marketing therefore becomes a great assistance to Internet shoppers. One of the most important marketing resources is the prior daily transaction records in the database. The great amount of data not only gives the statistics, but also offers the resource of experiences and knowledge. It is quite natural that marketing managers can perform data mining on the daily transactions and treat the shoppers the way they prefer. However, the data mining on a significant amount of transaction records requires efficient tools. Data mining from automatic or semi-automatic exploration and analysis on a large amount of data items set in a database can discover significant patterns and rules underlying the database. The knowledge can be equipped in the on-line marketing system to promote Internet sales.

The purpose of this paper is to develop a mining association rules procedure from a database to support on-line recommendation. By customers and products fragmentation, product recommendation based on the hidden habits of customers in the database is therefore very meaningful. The proposed data mining procedure consists of two essential modules. One is a clustering module based on a neural network, Self-Organization Map (SOM), which performs affinity grouping tasks on a large amount of database records. The other rule is extraction module employing rough set theory that can extract association rules for each homogeneous cluster of data records and the relationships between different clusters. The implemented system was applied to a sample of sales records from a database for illustration.     

Etsy and the long-tail: how microenterprises use hyper-differentiation in online handicraft marketplaces

This research presents an analysis of online microenterprises who sell handmade crafts and individually customized products. Using extant literature in the areas of e-commerce and long-tail marketing, this study develops two theoretical models of microenterprise sales success—on the product-level and on the shop-level. The models posit that higher product sales prices or shop average sales prices are associated with hyper-differentiation marketing activities, while controlling for social media impacts. We examine the models and present an empirical analysis of a dataset consisting of the marketing and sales activities of 1490 microenterprises within Etsy, an online commerce platform. Our analysis and results show that microenterprises who leverage their core competencies around handmade and customized products command higher product sales prices, confirmed at the product and shop level. Our study offers insights for existing microenterprises and researchers interested in examining how online microenterprises in niche markets achieve sales success.     

Personalised Product Recommendation Model Based on User Interest

The scale of e-commerce systems is increasing and more and more products are being offered online. However, users must find their own desired products among a large amount of unrelated information, which makes it increasingly difficult for them to make a purchase. In order to solve this problem of information overload, and effectively assist e-commerce users to shop easily and conveniently, an e-commerce personalized recommendation system technology has been proposed. This paper introduces the design and implementation of a personalized product recommendation model based on user interest. The “shopping basket analysis” functional model centered on the Apriori algorithm uses the sales data in the transaction database to mine various interesting links between the products purchased by the customers. Moreover, it helps merchants to formulate marketing strategies, reasonably arranges shelf-guided sales, and attracts more customers. This platform adopts a B/S structure and uses JSP+AJAX technology to achieve the dynamic loading of pages. In the background, the Struts2 framework is combined with the SQL Server database to establish the system function module, and then the function is gradually improved according to the requirement analysis, and the development of the platform is finally completed.     

数码产品直销网站管理系统的设计

电子商务作为一项新型的交易方式,是对线下实体销售的必要补充。数码产品商家利用电子商务的优势,通过直销网站的形式销售产品,使得人们的购物过程更加方便快捷,不受时间和空间的限制,文章提供了一种数码产品直销网站管理系统的设计模式,以供参考。     

卷烟消费者信息采集与分析系统设计研究

卷烟采购计划与营销方案的制定需要有一个卷烟消费者信息数据采集与分析系统的全方位支持。本系统通过搜集和分析卷烟消费者的信息,预测消费者在什么时候以何种方式购买卷烟。最终实现卷烟结构的不断优化、档次的持续提升、价格的持续稳定以及高质量的营销。     

Optimal distribution channel strategy for new and remanufactured products

The market for remanufactured products is large and growing rapidly, accelerated by the widespread popularity of internet sales and online auctions. Whereas extant remanufacturing research focuses primarily on such operations management issues in collecting of end-of-life products, remanufacturing technologies, production planning, and inventory control, we consider an operations-marketing interaction issue by identifying the optimal channel structures for marketing new and remanufactured products. Specifically, based on observations from current practice, we consider three channel strategies a dominant manufacturer can adopt: (1) marketing both new and remanufactured products through an independent retailer; (2) marketing the remanufactured products through the independent retailer, while controlling the new product sales by using its own online channel; (3) marketing the remanufactured products through the manufacturer-owned online channel, while selling new products through the independent retailer. Our results show that the manufacturer prefers to differentiate new and remanufactured products by opening a direct online channel, no matter how the system parameters change. However, which type of products (new or remanufactured) the manufacturer should sell through the online channel depends on the cost saving from remanufacturing, the customer’s acceptance of remanufactured products and the online inconvenience cost. Furthermore, this paper shows that, compared with channel strategy I where the manufacturer sells both new and remanufactured products through an independent retailer, this dual channel strategy benefits the end consumers, but might do harm to the retailer and the total supply chain in some situations.     

南平市大农业供应链数据系统的设计与实现

本系统依据开发要求主要应用于南平市大农业供应链数据系统,实现对南平市大农业供应链信息的数字化管理。开发本系统可使南平市农产品供应链信息实现实时管理,比较系统地对农产品信息、生产基地及企业信息、农产品供需信息、农产品市场分析等四大类核心数据进行管理,数据具体并全面,同时可以减少劳动力的使用,解决下游农产品种植或生产常常出现无法预计的滞销问题,助力南平市农产品电商行业的发展,提高农产品电商信息化水平。本系统以南平市农产品的优势单品大类及生产大户为核心供应链为重点调查对象,并多方参考,前期充分做好可行性与需求分析,进而做出合理的功能设计,为开发出稳定、高效、安全、符合需求的系统提供强有力的保障,并严格按照软件开发流程进行系统开发。本文以Web技术为支撑,围绕如何实现南平市大农业供应链数据管理信息化,进行需求分析、功能设计、系统开发,研究开发出一套稳定、高效、安全、符合需求的供应链数据系统。     

Supply-chain coordination with combined contract for a short-life-cycle product

A contract is a mechanism to realize the performance improvement of a supply-chain system or to achieve the perfect coordination of a supply-chain channel. This paper deals with the coordination issue of a selling channel for a short-life-cycle product. First, a new type of contract combining the return policy with markdown money according to the practice under which some companies sell their products with different marketing policies in different selling periods is designed. This case is illustrated using a stochastic dynamic-programming model. Then, the necessary condition to achieve channel coordination with this combined contract is derived; and given the scheme to allocate the coordination profit, the generalized method to find the optimal contract parameters is developed. Lastly, with analysis and simulations, it can be concluded that the supply-chain coordination with the single contract in literatures for two-period selling depends on the demand distribution and the cost structure of a system, but the combined contract that was designed depends only on the cost structure of a system. It can further be concluded that the combined contract can ensure channel coordination and arbitrarily allocate coordination profit, and that the combined contract is generalized with several classical contracts as its special examples. Furthermore, the supplier will become the active initiator of the combined contract under the high-risk setting because the combined contract can strengthen his status in the channel system and improve his performance.     

A fuzzy-based decision-making method for evaluating product discontinuity at the product transition point

Companies have been striving to achieve product innovation and cost savings to keep up with a rapidly changing manufacturing environment, as well as to deliver new products just in time and earlier than their competitors. Their strategic goals include effective decision making with regard to product life cycles, predicting market demand, and timing new product launches through the optimization of demand and supply of products. However, most products that enter a decline stage experience a decline in sales, which in turn causes an increase in warehouse costs, and a decline in competitiveness, owing to a delay in the release of new products. In this paper, we propose a fuzzy-based decision-making method to effectively evaluate products to be discontinued at the product transition point after taking into account market uncertainties and characteristics of businesses in companies. Therefore, we conduct the matrix analysis and the Pareto analysis for quantitative evaluation of four stages of the product life cycle based on market demand information for target product groups, apply the results of this analysis to the fuzzy-based qualitative evaluation model, and subsequently infer the discontinuity priority for product models that are expected to be replaced by new products. Furthermore, we develop the PTP portfolio system to identify a list of product models to be discontinued, as well as to review their percentage of sales contribution with respect to the overall product sales of the company.