Customer flow data visualization for retail analytics
(2018) In Diploma work IDEM05 20181Industrial Design
- Abstract
- This master thesis collaborates with Axis Communications which is a Swedish video camera company. The mission for the thesis was to take advantage of Axis developed or developing technology to explore data value in the retail industry and design a data visualization interface.
Shopping via online shopping platform, customers will leave their shopping journey data and the data could be recorded step by step. By analyzing conversion rate between different web pages, retailers could narrow down problem are and even locate problems efficiently. Compared with online shopping platform, traditional retail stores have limitations on data-collecting and data-integrating. Only by analyzing sales number, it is difficult for retailers to find out... (More) - This master thesis collaborates with Axis Communications which is a Swedish video camera company. The mission for the thesis was to take advantage of Axis developed or developing technology to explore data value in the retail industry and design a data visualization interface.
Shopping via online shopping platform, customers will leave their shopping journey data and the data could be recorded step by step. By analyzing conversion rate between different web pages, retailers could narrow down problem are and even locate problems efficiently. Compared with online shopping platform, traditional retail stores have limitations on data-collecting and data-integrating. Only by analyzing sales number, it is difficult for retailers to find out existing problems during shopping journey and satisfy customers by optimizing shopping journey. Thus, I selected IKEA as my thesis's use case after my comprehensive analysis of camera data-collecting advantages and retailer's concentrated shopping journey data. With a series of user researches, I selected to visualize customer flow data, which is an important data reference for making sales plan and designing layout by analyzing the relationship between customers' path and product location. Finally, based on existing data collection process and data analysis procedure, I define product function, test design prototype and finalize my customer flow data visualization interface combined with Axis brand indentation. (Less)
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@misc{8954917,
abstract = {{This master thesis collaborates with Axis Communications which is a Swedish video camera company. The mission for the thesis was to take advantage of Axis developed or developing technology to explore data value in the retail industry and design a data visualization interface.
Shopping via online shopping platform, customers will leave their shopping journey data and the data could be recorded step by step. By analyzing conversion rate between different web pages, retailers could narrow down problem are and even locate problems efficiently. Compared with online shopping platform, traditional retail stores have limitations on data-collecting and data-integrating. Only by analyzing sales number, it is difficult for retailers to find out existing problems during shopping journey and satisfy customers by optimizing shopping journey. Thus, I selected IKEA as my thesis's use case after my comprehensive analysis of camera data-collecting advantages and retailer's concentrated shopping journey data. With a series of user researches, I selected to visualize customer flow data, which is an important data reference for making sales plan and designing layout by analyzing the relationship between customers' path and product location. Finally, based on existing data collection process and data analysis procedure, I define product function, test design prototype and finalize my customer flow data visualization interface combined with Axis brand indentation.}},
author = {{Liu, Jin}},
language = {{eng}},
note = {{Student Paper}},
series = {{Diploma work}},
title = {{Customer flow data visualization for retail analytics}},
year = {{2018}},
}