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AI for Retail

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

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Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

AI for Retail

Course Code: C398

9 Review(s) | Add Your Review

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What's This Course About

Transform the way you run your retail business with our hands-on AI for Retail course. AI is reshaping every corner of retail—from writing product descriptions and marketing campaigns to answering customer enquiries, personalising promotions, forecasting demand and setting prices. In this practical 1-day course, you will learn what modern AI tools can do for retailers, and how to apply generative AI and AI agents to your daily retail operations—no programming background required.

Through guided exercises, participants will use AI assistants to generate product listings, marketing copy and visuals, set up AI-powered customer service and personalised recommendations, and apply AI to demand forecasting, inventory planning, pricing and sales analytics. You will also learn how to validate AI outputs, protect customer data and adopt AI responsibly. By the end of the course, you will be able to put AI to work across your retail operations to save time, lift sales and deliver a better customer experience.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - AI Agents for Business

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Introduction to AI for Retail

The AI Landscape: From Generative AI to AI Agents

AI Use Cases Across the Retail Value Chain

Hands-On with AI Assistants: ChatGPT, Claude and Copilot

Generating Product Descriptions, Marketing Copy and Visuals with AI

Customer Data Privacy, Governance and Responsible AI in Retail

Topic 2: Applying AI to Retail Operations and Customer Experience

AI-Powered Customer Service and Chatbots

Personalised Recommendations and Targeted Promotions

Demand Forecasting and Inventory Planning with AI

AI for Pricing, Merchandising and Sales Analytics

Building Simple AI Workflows for Day-to-Day Retail Tasks

Course Info

Prerequisite

The following knowledge is assumed

Software Requirement

Please download and install the following software prior to the class

Job Roles

Job Roles

  • Data analysts
  • Financial analysts
  • Marketers
  • Researchers

Trainers

Trainers

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing. Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

Review

Customer Reviews (9)

Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 5/21/2018)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The agenda is well structured and the content is good. It would be better if this is 2 day course with more hands on practice.

The lecturer is friendly and passionate about the subject, and the quiet environment is excellent for the class (Posted on 2/26/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Weekend is better for me. For today, i have to use my annual leave. Even i want to attend some courses, weekdays are not good for me. (Posted on 12/12/2017)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
May wish to consider putting together all the visualization plots and create a gallery for the course promotional materials

Can send participants the list of packages to install in advance to save on downloading and installing time (Posted on 8/28/2017)

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