门店外的扩张

在国内家电连锁零售行业，除了跑马圈地的“明争”，信息化正成为几方“暗斗”的焦点。[编者按]     

剖析门店的负库存

门店信息系统出现的负库存,也许是每一个连锁零售门店都会经常遇到的。为什么系统的库存会出现负值呢?为什么传统商业很少出现这种现象,而在现代零售业态的超市却经常出现呢?我们应当如何对待呢? 负库存是什么由于连锁零售企业实际管理工作中各种因素的影响,在MIS系统的运行中,会出现实际销售     

Columbia开设移动网上门店

Columbia运动服装店最近开设移动网上门店Columbia．com／mobile。采用Domandware的移动商务平台，Columbia可以将原来网上商店内的全部商品供手机用户选购。此移动网上商店向移动手机用户提供可搜索的商品目录、商品属性以及顾客评价等信息。     

RFID如何在门店中发展

大多数的零售商部相信RFID将在未来的零售业中扮演重要的角色。零售商正在积极地计算实现全自动化、更好的物流数据控制和消费者行为的信息获取所带来的成本。     

Nordstrom众多门店部署移动POS

RIS网站8月16日报道,Nordstrom为了将6000多台移动POS部署到200多家门店,公司正在积极研究如何充分利用这些设施来提高业务效率与改善客户经历。     

餐饮门店社区电商运营发展策略

自2019年至今，随着电子商务的发展，餐饮服务企业经营模式开始向社区电商、门店零售、外卖服务方向转型，本文结合某餐饮企业实体门店运营管理分析，目的在于探索当前电子商务背景下，餐饮门店经营发展策略及路径选择，结合餐饮业具体经营方式，通过解决问题寻找餐饮门店的生存和发展能力的方法。     

自动配货实现JIT式门店经营

20世纪60年代，准时生产方式（Just In Time，简称JIT）在日本勃然兴起，“在需要的时候，按需生产所需的产品”的思维引发了全球制造业的管理变革，流程同步化、生产均衡化、资源配置合理化成为众多世界级制造企业不懈追求的目标，其深刻影响延续至今。     

互联网时代零售门店的角色演变

<正>移动设备、社交网络、应用程序以及电子商务等数字技术的快速发展,已经彻底改变了消费者的购物方式。常常看到,消费者在零售门店浏览商品的同时,往往使用智能手机扫描商品条码或记录货号,并在淘宝或线上专卖店对比商品价格,查看购买评价,或者在微博或微信朋友圈征取好友建议等。在实体店内进行此类线上操作的消费者多是80/90后的新一代消费者,也被称为"千禧世代"消费者。他们熟谙当今热门的移动应     

智能门店管理APP应用设计研究

文章通过调研门店管理APP应用的现状,运用以用户为中心的设计思路,设计了"店掌柜"智能门店管理APP。该APP可以让门店管理者第一时间了解门店运行状况,为门店的管理决策提供了简单、智能的方案。该APP以智能门店为出发点,帮助门店管理者直接、全面地管理店铺的货物进销存、店铺会员信息、员工考勤等,使智能门店不仅仅是产品智能,更使运营模式也变得智能化、人性化,对门店的未来发展及员工管理都有很大的帮助。     

RFID感知技术在服装门店中的应用

为了解决服装门店目前存在盘存效率低下、跟踪最新流行的服装样式等问题,根据服装门店的业务需求,采用RFID感知技术和Web Service等技术,提出了一种基于RFID上下文感知技术的物联网三层软件架构模型。根据该模型实现了服装门店的智能感知与分析系统,并对系统的主要功能进行了测试。结果表明:该架构模型设计正确,可以完成追踪最新服装流行元素的任务。     

Store selection criteria and sales prediction in virtual worlds

Virtual worlds (VWs) have emerged as a new context for gaming, collaboration, social networking but also commercial activity. This paper focuses on the latter, and investigates how consumers behave in this virtual context when selecting stores they visit or buy from. The paper explores store selection criteria in virtual world stores and extends earlier research in both offline and online commercial environments, taking into account the novel IT capabilities that VWs exploit. Theoretical insights drawn from the marketing and information systems literature have been used to guide the design of a survey conducted in the virtual world Second Life. In addition to identifying the factors influencing store selection, the paper investigates how these differ between shoppers and non-shoppers, and identifies the factors that affect the amount of money spent in virtual world shopping environments. The findings suggest that “Core Store Features” and “Security and Privacy” constitute the most important store selection factors in virtual environments and that sales in VWs are predicted by the frequency of visiting and the time spent within VWs’ stores. Building on these findings, the paper discusses theoretical and practical implications and further research perspectives in the context of (3D) online commerce.     

集装箱建筑改造——品牌概念店

分析了何为集装箱建筑,本文结合几个经典的设计案例阐释集装箱建筑的可行性和优越性。重点分析集装箱建筑改造中的品牌概念店,体现出以集装箱为建筑的设计元素是"节能"又"低碳"的。符合建筑模式多样化的新思路,符合可持续发展的趋势。坚信中国进一步加强对于集装箱建筑改造的研究,定能在集装箱改造领域得到更为广阔的平台。     

Active Store Window: Enabling Far Store-Load Forwarding with Scalability and Complexity-Efficiency

Conventional dynamically scheduled processors often use fully associative structures named load/store queue (LSQ) to implement the value communication between loads and the older in-flight stores and to detect the store-load order violation.But this in-flight forwarding only occupies about 15% of all store-load communications,which makes the CAM-based micro-architecture the major bottleneck to scale store-load communication further.This paper presents a new micro-architecture named ASW (short for active store window).It provides a new structure named speculative active store window to implement more aggressively speculative store-load forwarding than conventional LSQ.This structure could forward the data of committed stores to the executing loads without accessing to L1 data cache,which is referred to as far forwarding in this paper.At the back-end of the pipeline,it uses in-order load re-execution filtered by the tagged SSBF (short for store sequence bloom filter) to verify the correctness of the store-load forwarding.The speculative active store window and tagged store sequence bloom filter are all set-associate structures that are more efficient and scalable than fully associative structures.Experiments show that this simpler and faster design outperforms a conventional load/store queue based design and the NoSQ design on most benchmarks by 10.22% and 8.71% respectively.     

A study on the promotion of the business service for regional retail store using smart technology

Recently, large supermarkets causing new changes in the domestic distribution structure with price break and large store operation are expanding their advancement of super supermarket (SSM) into small-amount purchasing customers and causing frictions with regional retail stores. So the government passed “the Large, Small and Medium-sized Enterprises Co-prosperity Cooperation Promotion Law (Win-Win Law)” at the National Assembly in November 2010 to protect traditional markets and has been making a lot of effort to find solutions to the problem of coexistence of the SSM with regional retail stores. So this paper attempts to explore the ways for regional retail stores to secure competitiveness against SSM amid the changes in the domestic distribution environment caused by the advancement of SSM.     

Consumption universes based supermarket layout through association rule mining and multidimensional scaling

The success of retail business is influenced by its fast response and its ability in understanding consumers’ behaviors. Analysis of transaction data is the key for taking advantage of these new opportunities, which enables supermarkets to understand and predict customer behavior, has become a crucial technique for effective decision-making and strategy formation. We propose a methodological framework for the use of the knowledge discovery process and its visualization to improve store layout. This study examines the layout strategy in relation to supermarket retail stores and assists managers in developing better layout for supermarkets. We use the buying association measure to create a category correlation matrix and we apply the multidimensional scale technique to display the set of products in the store space. This is a new approach to supermarket layout from industrial categories to consumption universes that is consumer-oriented store layout approach through a data mining approach. This framework is useful for both academia and retail industry. For industry professionals, it may be used to guide development of successful layout. Retailers can utilize the proposed model to dynamically improve their in-store conversion rate. As the empirical study, a practical application proceeded for Migros Turk, a leading Turkish retailing company.     

基于SCM与SSD的混合高效键值存储系统研究

具有高性能以及非易失特性的SCM（Storage Class Memory,存储级内存）技术逐渐成熟并开始运用到存储系统设计中,而传统的SSD仍然在存储容量上具有优势,为键值存储系统提供大容量存储的支持。现有键值存储系统不能充分发挥SCM与SSD混合存储架构的优势,需要对数据布局以及系统结构进行重新设计。针对SCM和SSD的特点,设计了基于SCM与SSD的混合式高效键值存储系统（SCM and SSD Hybrid Key-Value store,SSHKV）。SSHKV通过将键值存储中元数据信息存储到SCM中,将数据部分以日志方式存储到SSD中,实现性能与容量的兼顾。在SSD空间管理上,SSHKV采用逻辑空间放大策略,通过重映射TRIM指令释放的无效空间,减小了垃圾回收带来的数据迁移开销。SSHKV基于半异步半同步式IO模型实现,经过对比测试,SSHKV的随机写入性能相较于传统基于LSM-Tree的LevelDB提升了约20倍。     

基于SOA的连锁业务系统的研究与设计

结合东莞电信实业管理系统的开发,分析当前连锁业务系统的现状,即竞争日益激烈的连锁销售企业对信息化建设提出新的要求,现有业务系统不能满足不断变化的组织结构和新需求;研究面向服务体系结构(SOA,Service-Oriented Application)以及分布式通信编程框架(WCF,Windows Communicati...     

Scalable Load and Store Processing in Latency-Tolerant Processors

New load and store processing algorithms let memory-latency-tolerant architectures sustain thousands of in-flight instructions without scaling cycle-critical fully-associative load and store queues. These algorithms rely on redoing some stores after fetching cache miss data from memory (to fix memory dependences). Doing so provides better power and area characteristics than constantly enforcing memory dependences among a several loads and stores, many of which have unknown addresses.     

Multi-outlet retail site location assessment

One of the most important decisions a retailer can make is where to locate a retail outlet. Because convenience is so important to today's consumers, a retail store can prosper or fail solely based on its location. Recently, a changing retail environment is augmenting the location importance as retail economic groups develop multi‐outlet chains of small stores. The methods used in the development and calibration of location models for commercial spaces and sales forecast are multiple, varying from simple analogy forecast models to very complex spatial interactions models, which may incorporate dependence models in a gravitational or logit structure and many exploratory variables. More recent developments incorporating meta‐heuristics such as genetic algorithms for the global problem of the multi‐outlet chain configuration, or the use of Voronoi diagrams in store trade area delimitation, are also presented. Finally, the Geographical Information Systems' role on the decision support process is equally explored.     

An efficient two-stage method for solving the order-picking problem

The Journal of Supercomputing - With the rapid development of online shopping and the expansion of convenience stores in recent years, physical retail stores have successively launched fast online...