Smartie Mall

ISSS608 Visual Analytics and Applications Project

Team S-MALL: Chen Yun-Chen | Chiam Zhan Peng | Zheng Bijun

Milestone

Motivation
Brick and Mortar retail malls are facing stiff challenge from online e-commerce shopping and mobile smartphone penetration. How can physical malls continue to survive under such conditions? Also, how can shopping malls transform as part of the Smart Nation initiative in Singapore? Using real data of a mega-mall, this project aims to leverage multiple data sources from typical retail operation, and develop a visual application to assist company reveal customer behavior, uncover patterns that may present opportunities for the mall as well as tenants to better optimise operations, layout, events, maximize sales as well improve the customers' experience.

Data Description

Profile Data: contains demographic information of the shopping mall members

Transaction Data: contains two months transnational records from January to February 2017

Wi-Fi Sensor Data: contains two months Wi-Fi sensor records captured in the mall, which can be used to analyze the movement of customers

Maps: shopping mall layouts

Expected Outcome

Data Integration: Combine the three dataset to derive patterns, associations and actionable insights

Interactive Visualization:

1. Overview of customers movements patterns by weeks, days, hours
2. Inter-floor movement
3. Customers' profile and transactions integration

Use Cases: Zone Traffic Statistics, Zone Traffic Flow, Staff Planning, Marketing/Event Campaign

Visualization Tool & Packages

R: Hexagonal binning using ggplot2 and Kernel Decimal Estimate using stat_Density2d

R: Chord diagram using chorddiag

R: Shinyapp, shinydashboard, flexdashboard