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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Intelligent point of sale terminal thesis

Keown, Harvey January 1991 (has links)
Thesis (Masters Diploma (Electrical Engineering) -- Cape Technikon, Cape Town,1991 / The main reason for this project was "import replacement", as all our existing Point of Sale and Electronic Equipment had to be imported from Japan. After the Government I s steps to curb imports by placing extremely high levies on imported goods, it was decided to produce a completely local product. From past experience it was obvious that customer requirements varied greatly. This gave rise to the inception of a modular system, enabling the customer to "mix and match" modules to their requirements. The"concept is to use a HOST computer controlling a differential communications line with a maximum of 255 terminals which are all individually addressable. Each individual terminal would in turn control an internal differential communications line, called PNET, which is an acronym for "Peripheral Network". A decision was made to make all the peripherals intelligent, thereby alleviating the processor of all menial tasks. All peripherals local to the terminal would be connected to this network. The configuration can be seen graphically by refering to Figure 0-1. The communications protocol used is more sophisticated than that used for RS232 devices. The protocol has a POLL - ACKNOWLEDGE structure, where the HOST has complete control of the loop.
2

A visual approach for conducting marketing analytics on POS data: 可視化方法在銷售時點信息系統(POS)的營銷分析 / 可視化方法在銷售時點信息系統(POS)的營銷分析 / CUHK electronic theses & dissertations collection / visual approach for conducting marketing analytics on POS data: Ke shi hua fang fa zai xiao shou shi dian xin xi xi tong (POS) de ying xiao fen xi / Ke shi hua fang fa zai xiao shou shi dian xin xi xi tong (POS) de ying xiao fen xi

January 2015 (has links)
In the current big data era, customer data are being accumulated and managed at an unprecedented rate. Examples of big marketing data range from traditional brick-and-mortar retailers (e.g., point-of-sale or POS scanner data, radio-frequency identification customer tracking data, and supply chain data) to online retailers (e.g., e-commerce transactions, mobile location-based services, clickstream, and Web traffic data), and other user-generated contents (e.g., customer review, blogging, and social networking data). Among all off-line and online data sources, POS data are the most extensive and frequently regarded as the most valuable marketing asset of retailers. / This study proposes a visual marketing analytics framework (VMAF) to analyze POS transaction data. VMAF is introduced to transform POS data into a display of products and customers on a map. A visual dynamic marketing analytics framework (VDMAF) aims to analyze the time-varying transaction patterns on a joint space map. This map presents a thousand words and allows marketers to view product–customer interaction, which enables them to perceive, compare, and derive insights intuitively to execute correct marketing actions. / VMAF and VDMAF solve two key problems in visual marketing analytics. First, we represent products and customer segments from a high-dimensional space as points on a 2D space with zero dimension reduction errors. Second, we can conduct customer segmentation, product association, and prediction analysis simultaneously, thereby allowing marketers to visualize complete results on a single map and apply these results to marketing campaigns. We apply VMAF to the POS data set (37 products and 49,027 customers) of a fast-food restaurant over a period of one month. We also employ a VDMAF to analyze the transaction data set (28,092 customers and 27 product categories) of a supermarket over a period of four months. Thereafter, we illustrate the different applications and report the results. / 在今天的大數據時代,客戶數據呈現爆炸式增長並廣泛地收集。大數據營銷例子包括從傳統的實體零售店(例如銷售點終端掃描數據、RFID 的客戶跟蹤數據、供應鏈數據)到網上零售點(電子商務交易、行動定位位置服務、點擊流數據和網站流量通數據)和其他用戶生成內容(客戶評論、博客和社交網路數據)。在眾多線下數據和線上數據中,銷售點終端掃描數據 (POS) 往往被視為對零售商最有價值的營銷資產。 / 針對處理大量營銷數據的需要,此論文提出可視化營銷分析框架 (VisualMarketing Analytics Framework – VMAF) 分析POS 的交易數據。VMAF 把POS數據轉換成營銷地圖,把產品和客戶顯示在地圖中。動態可視化營銷分析框架(Visual Dynamic Marketing Analytics Framework – VDMAF) 是分析隨時間變化的聯合空間圖。一幅畫能繪出千言萬語,並讓營銷人員以可視化方式查看產品和客戶的互動,使他們能夠感知、比較和洞察消費者,得出正確的營銷行動。 / 可視化營銷分析框架 (VMAF) 和動態可視化營銷分析框架 (VDMAF) 解決營銷兩個關鍵問題。首先,我們沒有誤差地從高維空間數據表示產品和客戶群在二維空間上。其次,我們可以同時進行客戶細分、產品關聯分析、和預測分析,由此容許營銷人員透過視象方式在同一張地圖上觀看完整的結果,並應用分析結果在營銷活動上。我們應用可視化營銷分析框架 (VMAF) 在有37個產品及49,027顧客的快餐店POS交易系統,並使用動態可視化營銷分析框架 (VDMAF)分析一家超級市場的交易數據集的28,092顧客和27個產品類別超過四個月時間。我們將舉例說明不同的應用,並報告結果。 / Chung, Yu Ho. / Thesis Ph.D. Chinese University of Hong Kong 2015. / Includes bibliographical references (leaves 127-134). / Abstracts also in Chinese. / Title from PDF title page (viewed on 11, October, 2016). / Chung, Yu Ho. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only.
3

Point-of-sale (POS) system for Pizza Hut Hong Kong.

January 1993 (has links)
by Nicholas T.H. Jim. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaf 48). / ABSTRACT --- p.i / TABLE OF CONTENTS --- p.ii / LIST OF ILLUSTRATIONS --- p.v / ACKNOWLEDGMENTS --- p.vi / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Company Background --- p.1 / Scope and Objectives --- p.2 / Methodologies --- p.4 / Chapter II. --- EVALUATION OF EXISTING POS SYSTEM --- p.5 / Definition of POS System --- p.5 / Performance of Existing POS System --- p.7 / Chapter III. --- CRITERIA FOR POS SYSTEM SELECTION --- p.12 / Bas i c Criteria --- p.12 / Price --- p.16 / Reputation of Supplier and its Principal --- p.16 / Techno logy of the POS System --- p.16 / Chapter IV. --- IDENTIFICATION AND EVALUATION OF POS SYSTEM --- p.18 / Identification of POS Systems --- p.18 / New Tech POS System --- p.18 / POS System --- p.22 / Remanco Vision System --- p.25 / Micros 8700 POS System --- p.28 / Chapter V. --- DECISION MAKING --- p.33 / Second Phase Evaluation --- p.33 / Final Decision Making --- p.37 / Cost and Benefit Analysis --- p.38 / Chapter VI. --- IMPLEMENTATION PLAN --- p.40 / Swopping of POS Systems --- p.40 / Price Negotiation Tactics --- p.42 / Installation of New POS System --- p.44 / Review Meetings with Supplier --- p.44 / Chapter VII. --- CONCLUSION --- p.45 / BIBLIOGRAPHY --- p.47

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