Overview
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.
Skills Covered
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
Prerequisites
There are prerequisites required to attend this course.
Target Audience
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
No prior AI or technical background is required.
Module 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
Module 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
Module 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
Module 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
Module 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
Module 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
Module 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
Module 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
Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
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