SMU-Alibaba Series: Smart Retail & Marketing

Programme Code: CRS-N-0048861


Over the past two decades, the retail industry endured more disruptive change than it experienced collectively in all its previous history. The Internet enabled an entirely new channel in online e-commerce, and smart Internet technologies informed and empowered consumers like never before, placing shoppers in an unprecedented position of power and authority.

Today, a new retailing era has begun - for the first time ever, shoppers are calling the shots. Today’s smart store operational technologies make shopping experiences all about shoppers, the way retail is supposed to be.  Data coupled with the arts of design and merchandising drives product selections on the floor, with analytics applications optimising assortment planning and the like. To compete, retailers need to keep up in all areas from the store floor to customer behaviour to the back office. Come join our course and learn from our experts on how to put smart retail to work. 

This module is part of SMU-Alibaba Series.

    Next Course Starts On25 Jun 2019 (Tue) See Full Schedule
    Fee SGD2140.00* (as low as SGD242.00* after maximum funding) Learn more

    2 days



    Learning Objectives

    At the end of the 2-day course, participants will be able to:

    • Learn how to integrate e-commerce with offline retail
    • Understand how to leverage machine learning in sales forecasting and inventory optimisation
    • Learn how to analyse traffic and conversions using big data
    • Gain an overview of data-driven marketing methodology and learn how to build data-driven marketing capability
    • Learn how to build a robust customer data foundation to get useful customer insights
    • Understand how to operationalise data assets for generating significant business impact

    Who Should Attend

    Business leaders and senior managers from all business areas, who wish to gain insights and exposure about the new retail development and learn how some of these smart strategies and technology can be applied to their business.


    Course assessment will be based on classroom exercises and presentation. 

    Fees and Funding

    SkillsFuture Series

    Course fee grant at 70% of course fees (excluding GST) for participants who are successfully enrolled by SMU into approved courses under the Programme. Participants must be Singapore Citizens or Singapore Permanent Residents.

    SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
    Up to 90% of course fees for Singapore Citizens aged 40 years and above

    Enhanced Training Support for SMEs ("ETSS")
    Up to 90% of course fees for employees of SMEs who are Singapore Citizens or Permanent Residents

    Workfare Training Support Scheme ("WTS")
    Up to 95% of course fees for Singapore Citizens aged 35 years and above (13 years and above for persons with disabilities) earning a monthly income of not more than S$2,000.

    SkillsFuture Credit
    Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) to defray part of the course fee. Please click User Guide on how to submit your claim. SkillsFuture Credit claims may be submitted by logging in via

    Absentee Payroll
    Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect.

    Full Fee: S$2,140 per participant (including GST).
    Nett fees payable per participant after SSG Funding:

    • S$642 (including GST) for Singapore Citizens and Singapore Permanent Residents
    • S$242 (including GST) for Singapore Citizens aged 40 years and above


    Start Date(s)
    Intake Information
    intake 126 - 27 March 2019 (Completed)
    INTAKE 225 - 26 June 2019 (Open for Registration)


    Speaker/Trainer Bio

    Yang Kan is currently Regional Manager of Data Intelligence Business at Alibaba Cloud, leading Alibaba Cloud’s regional big data and AI business strategy and solutions. His team is dedicated to craft solutions under ET Brain framework to various industries including smart city, new retail and smart manufacturing.

    Prior to joining Alibaba, Yang Kan spent 10 years in managing enterprises’ global big data strategies and programmes. He was responsible for transforming many traditional businesses into data-driven organisations in oil & gas, and manufacturing industries. He has successfully implemented multiple end-to-end data projects and rollout the solutions to global organisations.

    Dr Long Yin joined Alibaba Group in 2018 where she started to embrace Alibaba Cloud platform and to apply big data and AI solutions on this platform for industry digital transformation. Her specialisation is in machine learning, mathematical optimisation and cloud computing.

    Before joining the Alibaba Group, Dr Long had served as a senior data scientist at IBM and was recognised for her contributions towards the digital transformation journey of organisations in the finance, supply chain and maritime industry. She received her PhD in Operations Research from National University of Singapore and holds a number of patents and publications.


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