AI for Retail and E-commerce

AI for Retail and E-commerce

Introduction

Understanding, Applying, and Strategically Adopting AI in Modern Retail

The retail and e-commerce industry is undergoing rapid transformation driven by data, digital platforms, and customer expectations. Consumers now demand personalised experiences, accurate recommendations, fast fulfilment, and seamless omnichannel interactions. Artificial Intelligence (AI) has become a key enabler in meeting these expectations by improving demand forecasting, pricing, marketing, customer engagement, inventory management, and decision-making.

With the rise of Large Language Models (LLMs) and Generative AI, AI is no longer limited to technical teams. Retail managers, marketers, merchandisers, operations teams, and executives can now use AI tools to analyse data, generate insights, personalise content, summarise reports, and automate repetitive tasks.

This course provides a practical, business-focused introduction to AI for retail and e-commerce professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on real retail use cases, responsible AI usage, and measurable business impact, without requiring programming skills.

Who will benefit - This course is designed for working professionals involved in retail and e-commerce, including:

Retail and e-commerce managers
Merchandising and category managers
Marketing and digital marketing teams
Customer experience and CRM professionals
Operations and fulfilment managers
Data, analytics, and business intelligence teams
Product managers and platform owners
Retail executives and decision-makers

Level & Delivery

Beginner to Intermediate | No prior AI or technical background is required | No coding required.
Duration - 2 days | Mode In-house | Methodology - Instructor-led | Hands-on AI tools | Laptop or Tablet required.
Min 5 pax - Max 16 | Hit Get Proposal for an in-house quote.

Outcome

By the end of this course, participants will be able to:

Understand core AI concepts and terminology relevant to retail and e-commerce
Distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
Evaluate and select AI tools suitable for retail and e-commerce workflows
Apply AI tools to marketing, merchandising, demand forecasting, and customer engagement
Use AI responsibly within ethical, legal, and organisational constraints
Identify high-impact AI use cases across the retail value chain
Contribute to AI adoption and digital transformation initiatives

Select to design your own content and request for a customized quotation

No	Topic	Topic Description
1	Understanding AI in Retail & E-commerce	What Artificial Intelligence is and is not Relationship between: Artificial Intelligence Machine Learning Deep Learning Large Language Models Generative AI How AI systems learn from customer and sales data Current AI applications in retail and e-commerce: product recommendations and personalisation demand forecasting and inventory planning pricing and promotion optimisation customer service and chatbots customer sentiment and review analysis Strengths and limitations of AI in retail environments
2	AI Tools Landscape for Retail & E-commerce Professionals	Overview of modern AI tools for retail: ChatGPT, Gemini, Copilot, Claude Perplexity, Grok, Manus, DeepSeek, Qwen, NotebookLM Understanding differences in: content generation vs data analysis reasoning quality and reliability data privacy and customer information protection Selecting the right AI tool for: marketing content and campaigns product descriptions and SEO operational reporting and analysis Prompt engineering fundamentals for retail use cases Hands-On Activities Writing prompts for product descriptions and promotions Comparing AI-generated marketing content across tools Identifying inaccuracies and brand-consistency issues
3	AI for Sales, Marketing, and Customer Insights	AI-assisted customer segmentation and targeting Analysing sales trends and customer behaviour using AI AI-generated marketing insights and campaign summaries AI support for CRM and loyalty programmes Using AI with spreadsheets: Excel with Copilot Google Sheets with Gemini Hands-On Activities Generating customer insights from sample data Drafting marketing performance summaries using AI
4	Responsible AI, Ethics, and Data Privacy in Retail	AI risks in retail and e-commerce: biased recommendations and pricing misuse of customer data hallucinations in AI-generated content Data privacy and consumer protection considerations Transparency and fairness in AI-driven decisions Human-in-the-loop decision-making models Best practices for responsible AI usage in retail
5	AI for Demand Forecasting, Inventory, and Merchandising	AI concepts in demand forecasting and assortment planning Analysing sales seasonality and product performance AI-assisted inventory optimisation and replenishment Supporting merchandising decisions with AI insights Hands-On Activities Analysing demand and inventory scenarios using AI Drafting merchandising recommendations
6	AI for E-commerce Operations and Customer Experience	AI chatbots and virtual shopping assistants AI for order support, returns, and customer inquiries Using AI to summarise customer feedback and reviews Knowledge-based AI using internal documents: NotebookLM and Manus Hands-On Activities Designing an AI-assisted customer support workflow Improving customer responses using AI
7	AI-Enabled Workflow Automation in Retail & E-commerce	Designing AI-supported workflows: data → insights → actions → reports Integrating AI tools into daily retail operations Improving coordination between marketing, merchandising, and operations Measuring productivity, conversion, and revenue impact Exercise Designing an AI-supported retail workflow
8	AI Strategy for Retail & E-commerce Leaders	Identifying high-impact AI opportunities in retail and e-commerce Build vs buy vs partner considerations Developing an AI adoption roadmap for retail organisations Establishing AI governance, roles, and responsibilities Preparing retail teams for AI-driven operations Workshop Drafting a high-level AI strategy for a retail or e-commerce organisation

Expert

Dr. Mohammed Muayad Abdulrazzaq

Dr. Mohammed Muayad Abdulrazzaq, fondly known as Dr. Obay is an accomplished AI Trainer, Academic Leader, TEDx Speaker, Industry Advisor, and Entrepreneur, internationally recognised for his contributions to Artificial Intelligence education, research, and innovation. Holding a Ph.D. in Artificial Intelligence and bringing over 20 years of experience across the information technology landscape, Dr. Obay’s expertise spans AI, Big Data Science, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), and Immersive Technologies. As a certified and HRD Corp-accredited trainer, Dr. Obay has trained more than 5,000 professionals, students, and business leaders through highly practical and results- driven programs in Data Science, AI Engineering, Generative AI, and LLMs. His workshops are widely praised for their clarity, relevance, and ability to translate complex AI concepts into real-world business impact. Recently, Dr. Obay was honoured to begin a new chapter as an Industry Advisor at ICMS, contributing to advanced programs and professional certifications in Generative AI, Large Language Models, Google AI & Machine Learning, and Microsoft Azure AI. His advisory role bridges academia and industry by empowering future-ready talent and organisations to thrive in the era of intelligent automation. Recognised for his excellence in AI education and leadership, Dr. Obay serves as an ELITE Fellow at the University of Malaya (UM) — Malaysia’s top-ranked university — and as an Adjunct Associate Professor at Taylor’s University, where he supervises Ph.D. and Master’s students at Taylor’s University and the International Islamic University Malaysia (IIUM). His academic work focuses on applying AI to solve real- world problems while shaping the next generation of innovators. An entrepreneur at heart, he is the Founder of Artificial Intelligence & Coding for All (AIC4ALL) — a global learning platform that equips learners of all ages with essential skills in AI, coding, and data science for IR 4.0 & IR 5.0. He also leads INNOEYETIVE, a digital innovation agency leveraging AI, Big Data, and Immersive Tech to accelerate digital transformation. As a TEDx and international speaker, Dr. Obay has delivered impactful talks and keynotes that demystify AI, inspire innovation, and promote ethical adoption of emerging technologies. His lifelong mission is simple yet powerful — to empower professionals, educators, and leaders worldwide to harness the transformative power of AI for a better, smarter future.