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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.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI for Retail

Course Code: C398

9 Review(s) | Add Your Review

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.

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

Dr. Alvin Ang is a ACTA certified trainer. Dr. 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.

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.

Review

Customer Reviews (9)

Dwight was a good instructor who patiently guided us 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
Dwight was a good instructor who patiently guided us with the right methods to apply. Extra exercises were provided to reinforce understanding. (Posted on 2/25/2022)
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
. (Posted on 5/12/2021)
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
. (Posted on 2/10/2021)
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
hank you very much for your R data visualization course. I really enjoyed and learnt lots from it. Also, thank you for offering other training courses that help me develop skills in R/Python programming language. (Posted on 11/26/2018)
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
There are too many modules covered in one course which is a challenge. Some of the module are similar with different packages. it could be consolidate so that the training can be more qualitative instead of quantitative. (Posted on 7/1/2018)

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