Retail Analytics (Async e-Learning)
About this course
Course objectives
The short course (100% e-elearning) covers key performance indicators such as Sales Performance, Gross Margin Return on Inventory (GMROI), Stock Turn, Market Basket Analysis (MBA), Conversion Rate and A/B Testing to assess and create a broad picture of a retail business’ digital health alongside overall areas for improvement and reinforcement. Essentially, retail analytics and predictive merchandising are deployed to run businesses more efficiently and enhance customer service analytics.
Course description
In this digital transformation landscape, data analytics forms an integral part of the business which focuses on providing insights through the use of artificial intelligence and data mining. This empowers businesses to optimise productivity and leverage onto the best potential retail decision-making and strategy.
E-certificate will be issued 10 working days after successful completion of the course.
Trainer Profile
Lee Gek Keow, Senior Lecturer
Gek Keow has more than 10 years of experience with retail sales, buying and merchandising in department store and lifestyle store concepts. Her experience includes managing of retail sales team, fashion buying, merchandise planning and guiding learners in the development, planning, marketing and operations as well as training for both online and offline retailing platforms for Omni-Channel Retail Centre (OCRC – a business centre in NYP). Gek Keow designs curriculum, plans and delivers lessons in Buying, Omni-Channel Management and Retail Merchandising and Analytics. She holds a Bachelor of Business Studies Degree from NTU Nanyang Business School.
Target audiences
Retail Executives and Managers in Retail, F & B industries and small businesses seeking to deepen or broaden their skills in this area for better analysis of their retail business' health in this digital age.