AI in Retail & E-commerce

Shop. Recommend. Sell.

Course Objective
To introduce learners to the fundamental role of Artificial Intelligence in modern retail and e-commerce — from personalized recommendations and customer support to inventory, pricing, and fraud detection.

100+ Reviews

Module 1:
AI in Retail & E-commerce – An Introduction

  • What is AI? What is Machine Learning in retail?
  • Overview of AI applications: from Amazon to Flipkart
  • Trends: Smart stores, cashless checkout, AR/VR, hyper-personalization
  • Activity:
  • Explore your favorite e-commerce site. Find 5 ways AI is likely being used.

Module 2: Smart Recommendations & Personalization

  • How Amazon/Netflix recommend products or content
  • Types of recommendation engines (content-based, collaborative)
  • AI for user behavior tracking & retargeting
  • Hands-On:
  • Use Canva AI or Writesonic to generate a product description and targeted ad copy.

Module 3: Chatbots, Virtual Assistants & Customer Experience

  • Introduction to chatbots (e.g., Drift, Tidio, ChatGPT-based bots)
  • AI for 24/7 customer service and complaint handling
  • Designing simple retail chatbots with prompt templates
  • Project:
  • Create a simple chatbot for an online store using ChatGPT or Tidio.

Module 4: Inventory Management & Demand Forecasting

  • How AI predicts sales trends and optimizes stock levels
  • Use of computer vision for shelf/warehouse management
  • Tools: Google Cloud Retail AI, Inventoro, Oracle AI for Retail
  • Simulation:
  • Run a mock inventory scenario using basic Excel + AI forecasting formulas.

Module 5: AI in Pricing & Fraud Detection

  • Dynamic pricing: How prices change in real time (e.g., flight tickets, online sales)
  • AI for detecting fake reviews, coupon misuse, identity theft
  • Secure checkout systems using face/fingerprint recognition
  • Activity:
  • Compare 3 e-commerce prices over 3 days and predict when it’s cheapest to buy.

Module 6: AI Marketing & Visual Merchandising

  • AI copywriters: Jasper, Copy.ai for product ads
  • Image and video generation tools (e.g., Pictory, Lumen5)
  • Visual merchandising using AI heatmaps and A/B testing
  • Hands-On:
  • Use ChatGPT + Canva to design a homepage banner for a new product launch.

Module 7: Augmented Reality (AR), Voice Commerce & Smart Retail

  • Try-on experiences using AI (e.g., Lenskart, IKEA AR)
  • Voice commerce (Alexa, Google Assistant shopping)
  • Smart mirrors, cashier-less checkout (Amazon Go, Decathlon Labs)
  • Demo:
  • Explore an AR try-on app or test shopping with a voice assistant.

Module 8: Final Project – Launch a Mini E-commerce AI Plan

  • Choose one:
  • Build a product recommendation system with free tools
  • Create a chatbot + AI-generated ads for a store
  • Present an AI-powered customer journey: from ad to checkout
  • Analyze how a real online store uses AI and suggest improvements

Learning Activities

  • This course is packed with interactive, real-world activities designed to turn concepts into skills. From creating AI-generated ads and designing chatbots to simulating inventory management and dynamic pricing, learners will actively explore how AI enhances every step of the retail journey. Each module includes guided tasks, tool walkthroughs, and a final mini project that brings together all learning in a portfolio-ready format.

Course Outcome

By the end of this course, learners will:

  • By the end of this course, students will have a solid understanding of how AI is transforming the retail and e-commerce industries. They will gain hands-on experience with tools that power product recommendations, automate customer service, generate ad content, and optimize pricing and inventory. Learners will walk away with the skills to apply AI practically, ethically, and creatively in online business environments — whether for personal projects, freelancing, or scaling real-world stores.

Duration:

  • Course Duration: 5–6 weeks
  • Mode: Online + Assignments
  • Level: Beginner – No coding needed
  • Audience: Students, e-commerce startups, retail employees, freelancers
  • As a store manager with over 10 years in retail, this course helped me finally understand how AI is reshaping consumer behavior and backend operations.
    Ritu Sharma
    Retail Floor Manager
  • I’ve worked in sales for 8 years, but this was my first deep dive into AI. The chatbot and product recommendation tools were eye-opening.
    Imran Qureshi
    Senior Sales Executive
  • Even as a marketing consultant, I learned new tricks. The AI ad-generation tools helped reduce content creation time by 50% for my clients.
    Alok Verma
    Digital Marketing Strategist
  • This course gave me the confidence to integrate AI tools into my Shopify store. The result? A 30% boost in sales in just one month.
    Pooja Jain
    Online Boutique Owner
  • I teach e-commerce at a business school, and I recommended this course to my students. The practical modules are exactly what’s missing in most textbooks.
    Dr. Sanjay Nair
    Professor of Business Technology
  • As a content creator and influencer, I used the AI visual tools taught in the course to improve my affiliate sales funnel.
    Neha Desai
    Lifestyle Blogger
  • Managing inventory across platforms used to be a nightmare. The AI inventory prediction activity made me rethink my entire approach.
    Arvind Joshi
    Inventory Head
  • This is not just for beginners — even experienced e-commerce managers can use this to upgrade their AI skillset.
    Monica Bansal
    E-commerce Category Lead

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