解析三星IT专卖店“五大优势”

在国庆促销中,三星IT专卖店销量表现强劲,顾客成交率与满意度里直线上升趋势。一大原因是三星IT专卖店强大的促销攻势。让消费者受惠匪浅。深层原因是三星IT专卖店拥有“五大优势”,即五星级店面、正品保障、一站式采购、专业服务、优质购物体验。“五大优势”让三星IT专卖店在众多IT采购地中脱颖而出,     

赛乐氏开展软件试用活动 是骡子是马拉出来遛遛 7家厂商30余种产品参与

北京赛乐氏软件销售组织1月8日宣布,从本月18日起到2月16日将面向广大用户开展“软件与未来”假期试用活动。在此期间,凡在赛乐氏软件专卖店购买指定产品的顾客,如对软件有任何不满,只要没有损坏均可在2周内无条件退货。赛乐氏销售组织是赛乐氏公司组建的开放式销售团体,由专卖店、专卖点、代理商三级销售机构组成。目前,赛乐氏在全国已拥有22家专卖店,300多家分销商,软件品种多达3500种,1996年营     

VERS服装专卖店情感体验及互动设计

VERS服装专卖店以"体验式设计"为空间设计理念,激发顾客视觉、听觉、触觉等多种体验感受,通过建立空间与顾客的情感交流和互动来创新展示空间设计。文章提炼了多处可圈可点的体验式设计,阐述其设计思路和具体做法,以"解决问题"的态度对待设计,从现实出发,回答店面设计"怎么做"的核心问题,并在文章最后总结了"体验设计"所反映出来的现代设计理念,表明其具有无限发展前景的认识观点。     

品牌服饰专卖店展示设计研究

品牌服饰专卖店除了出售商品以外,还包括购物者体验的环境氛围。优秀的品牌服饰展示设计,不但可以节约店内的空间、美化购物环境,还能刺激消费者购买。专卖店展示设计要密切注意商业发展变革的节奏,注重营造出一种全新的商业销售环境,赢得消费者的青睐!     

品牌服饰专卖店展示设计研究

品牌服饰专卖店除了出售商品以外,还包括购物者体验的环境氛围。优秀的品牌服饰展示设计,不但可以节约店内的空间、美化购物环境,还能刺激消费者购买。专卖店展示设计要密切注意商业发展变革的节奏,注重营造出一种全新的商业销售环境,赢得消费者的青睐!     

联手国际顶级品牌 魅族OPEN战略加速

正随着智能手机的发展,手机周边配件已成为智能手机体验不可或缺的一部分,魅族以更OPEN的心态与国际顶级品牌的配件企业联手,进行在线商店周边配件销售,用户提供更优秀的立体式体验。魅族官网在线商店拥有超过700万注册会员,拥有稳定的流量、成熟的物流系统。未来魅族将围绕智能手机周边与更多的配件种类企业进行合作,将魅族官网在线商店打造成为智能手机一站式购物体验站,此销售模式也将渗透至魅族线下700多家专卖店。     

关于专卖店橱窗设计形式的探讨

橱窗设计对于专卖店而言极其关键,不仅能够象征专卖店特色,还能决定专卖店效益与发展,因此,现代专卖店橱窗设计十分看重。但运动品牌与其他品牌有所不同,在设计运动品牌的专卖店橱窗时,需要采取更加直观的形式凸显内部产品,否则专卖店就无法利用橱窗吸引来往顾客。基于此,本文以专卖店橱窗设计为主,分别针对设计意义、设计形式以及设计事项进行深入探讨,希望能够为现代专卖店橱窗设计提供借鉴帮助。     

四大原因激活移动商务

零售流通行业的各种业态都要面对这些问题：如何让顾客购物更方便?在销售高峰期如何根据各个营销网点的情况及时、准确地备货?如何统计奔波在外的销售代表的业绩?……这些问题说明了零售终端应具有三大特性：要离顾客更近,即分布式；终端多种多样,不受制于地理环境,即灵活性；业务数据集中、及时,即方便性。特别是对于精品专卖店,为了离顾客更近,几乎在每个卖场都设有专柜。按照传统的解决方案,如果想及时准确地知道业务数据,需要在每个专柜部署POS终端,这种方法需极     

公司

摩托罗拉全球首家旗舰店落户上海 7月13日,摩托罗拉在上海举行了全球首家旗舰店的开张仪式．这也是其全球品牌专卖店建设计划的开始。这家旗舰店位于上海最繁华的徐家汇商业购物区,主要展示最新产品和技术．并向顾客提供体验服务。摩托罗拉表示,开设旗舰店的目的是彻底改造移动零售文化和转变消费者的体验。     

“联合舰队”变“独立大队” 实达家用电脑渠道统一成专卖店形式

8月初,实达面向家用市场的销售渠道在经历了代理商、专卖店、软件连锁销售组织、商场等多种销售方式共存的"联合舰队"阶段之后,决定到今年底将统一规范成专卖店形式。     

Item-level RFID for enhancement of customer shopping experience in apparel retail

In the customer-oriented apparel retail industry, providing satisfactory shopping experience for customers is a vital differentiator. However, traditional stores generally cannot fully satisfy customer needs because of difficulties in locating target products, out-of-stocks, a lack of professional assistance for product selection, and long waiting for payments. Therefore, this paper proposes an item-level RFID-enabled retail store management system for relatively high-end apparel products to provide customers with more leisure, interaction for product information, and automatic apparel collocation to promote sales during shopping. In this system, RFID hardware devices are installed to capture customer shopping behaviour and preferences, which would be especially useful for business decision-making and proactive individual marketing to enhance retail business. Intelligent fuzzy screening algorithms are then developed to promote apparel collocation based on the customer preferences, the design features of products, and the sales history accumulated in the database. It is expected that the proposed system, when fully implemented, can help promote retail business by enriching customers with intelligent and personalized services, and thus enhance the overall shopping experience.     

混凝土销售系统的设计与实现

结合销售的具体环节,对混凝土企业的销售需求状况做深入的分析,本着减少销售人员工作量,提高工作效率和数据准确性的原则,利用ASP．NET＋SQL Server2005开发了基于B／S端的混凝土销售系统。该系统通过读取生产环节数据,核对订单后输入产品价格便可以自动统计一系列的销售数据,同时提供销售月报表、销售明细表及供货清单等报表供销售人员查询及打印。实践表明,该系统方便快捷准确,且对其他混凝土企业的销售系统都有一定的借鉴价值。     

Sales forecasting in rapid market changes using a minimum description length neural network

Neural Computing and Applications - In this study, we address a real sales forecasting problem of a multinational fashion retailer. The fashion retailer has been operating retail stores and...     

卷烟采购决策支持系统设计研究

卷烟采购管理需要有一个合理数量分析与决策系统的全方位支持。本系统通过搜集工业企业和零售商店的信息,实现整个供应链的无缝链接。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、销量的稳定增长。     

Moving recommender systems from on-line commerce to retail stores

The increasing diversity of consumers’ demand, as documented by the debate on the long tail of the distribution of sales volume across products, represents a challenge for retail stores. Recommender systems offer a tool to cope with this challenge. The recent developments in information technology and ubiquitous computing makes it feasible to move recommender systems from the on-line commerce, where they are widely used, to retail stores. In this paper, we aim to bridge the management literature and the computer science literature by analysing a number of issues that arise when applying recommender systems to retail stores: these range from the format of the stores that would benefit most from recommender systems to the impact of coverage and control of recommender systems on customer loyalty and competition among retail stores.     

Retracted: A hybrid artificial intelligence sales‐forecasting system in the convenience store industry

Recently, there has been increasing interest in computer‐aided ergonomics and its applications, such as in the fields of intelligent robots, intelligent mobiles, intelligent stores, and so on. The operation of convenience stores (CVS) in Taiwan is facing a crossover revolution by providing multiple services, including daily fresh foods, a café, ticketing, and a grocery. Therefore, forecasting the daily sales of fresh foods is getting more and more complex due to the influence of both internal and external factors. Eventually, a reliable sales‐forecasting system will play an important role in improving business strategies and increasing competitive advantages. The purpose of this study is the development of an enhanced hybrid sales‐forecasting model of fresh foods, called ECFM (Enhanced Cluster and Forecast Model), for CVSs by combining a self‐organization map (SOM) neural network and radial basis function (RBF) neural networks. The model is evaluated for a six‐month sales data set of daily fresh foods at a chained CVS in Taiwan. Meanwhile, the performance of the proposed model is compared with that of fuzzy neural network (FNN) and cluster and forecast model (CFM). The result reveals that the proposed model is not only amenable but can also promise the fresh food sales forecasting for CVSs. © 2011 Wiley Periodicals, Inc.     

一种基于LSTM模型的日销售额预测方法

精准的销售额预测对于商业运营有非常大的指导意义,可以指导运营后台提前进行合理的资源配置,帮助管理者制定合理的目标。零售商店日销售额预测指从商店已有日销售额的数据资料中总结出商品销售额的变化规律,并根据该规律动态预测未来一段时间内的日销售额。预测目的是通过增加企业销量,从而完善生产模式,使企业获利。目前,现有的关于商品销售额预测方法的精度大都不高,低于85%。因此,提出了一种基于TensorFlow的LSTM模型的零售商店日销售额预测方法,能够提高预测未来一周的日销售额精度。实验结果显示,预测精度达到90%;同时得到LSTM模型的MAPE为0.031932,MAE为168.3207,明显高于现有模型的预测结果。     

用Delphi实现的药品管理系统

本系统是实现一个药店采购、销售和库存管理的管理系统,采用C/S体系结构,该系统以Delphi为开发平台,支持Access数据库,设计了基础信息录入、业务单据处理、各种查询统计及系统日常维护四大模块。该系统功能全面、界面友好、操作方便,解决了中小型药店目前存在的药品销售管理难题。     

基于Sencha Touch的烟草行业销售预测移动Web平台的建立

简要介绍了Sencha Touch的特点、功能和架构,并通过对某烟草省公司的库存分析,设计和实现了基于SenchaTouch的烟草行业销售预测移动平台.该平台实现对烟草营销进行定量分析,支撑营销决策者决策,支撑公司资源整合的综合营销、运行分析、物资管理,并逐步达到流程协同、管理优化.实现公司间业务协同,提升企业效率.预测下期销售情况,确定发货需求量.并能及时反映某些销售区域的销售停滞情况.基于Sencha Touch使得该平台能够跨平台运行,为决策者提供了更有效、更便捷的移动决策方案.     

Is online multiple-stores cooperative promotion better than single-store promotion? Misprediction from evaluation mode

Inspired by the evaluation mode theory, we show online vendors mispredict consumers’ responses to different types of sales displays. While vendors predict that consumers evaluate a featured product more positively in a cooperative sales promotion (CSP; i.e., multiple stores promoting synchronously) than in an independent sales promotion (ISP; i.e., a single store promoting independently), consumers actually do the opposite. The reason is that vendors compare CSP with ISP and are able to evaluate depending on perceived acquisition utility; consumers, however, see either CSP or ISP, resulting in difficulty in accessing acquisition utility. Thus, they evaluate according to perceived transaction utility.