On Effective Counter Sales Data Collection under the Constraints Imposed by Department Stores – The Case of Yamazaki Bakery

• Main Authors: Yu-Hsin Wei, 韋佑欣
• Other Authors: Cheng-Kiang Farn
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/20625790812558395083

碩士 === 國立中央大學 === 資訊管理學系在職專班 === 101 === In Taiwanese department stores, to ensure accurate tally of income by each individual counter, the counter operators are required to use uniform cash registers provided by the hosting department store. As a result, Yamazaki Bakery, which has 24 shops in department stores are unable to effectively collect its own sales data, to facilitate business intelligence analysis. This study proposed to employ tablet computers acting as remote screens of Yamazaki’s POS computers, running RDP (remote desktop protocol) as a solution. The iPad was selected as the front-end device, and became an important part of the system integration project. To verify the viability of the solution, the solution was implemented in Yamazaki counters in two different department stores. These act as the Proof of Concept and Proof of Service for the proposed solution. Pilot implementations proved to be a success. This paper further discusses the conceptual framework and the future directions of possible applications of the iPad POS. The current dual‐POS phenomena in the department store are also discussed. While the operations of department stores stayed intact for decades, other sales channels, like online stores, discount stores and convenience stores are growing rapidly. These result in a slowdown in growth for the department stores. The department stores generally rely on POS to collect accurate income data, and overlook the importance of collecting other counter sales data for analysis purposes. This study proposes that department stores should look into a new POS system architecture that can meet the demand for both department store and individual counters, to capture not only income data but also data for business intelligence analysis. This will create a win-win-win scenario for department stores, counters and consumers, and ensure sustainable competitiveness.