AI Chatbots for E-commerce Full Syllabus

Module 1: Introduction to E-commerce Chatbots

• What is a chatbot?
• Role of AI in modern e-commerce
• Types of e-commerce chatbots
  • Pre-sales: Product recommendation, size guide
  • Post-sales: Order tracking, return management
  • Support bots: FAQs, refund policies
• Case studies: H&M, Sephora, Myntra, Amazon, Flipkart

Module 2: NLP & Chatbot Fundamentals

• Basics of Natural Language Processing (NLP)
• Intent classification and entity recognition
• Rule-based vs AI-based chatbots
• Tokenization, stop words, stemming, lemmatization
• Tools: spaCy, NLTK, Transformers, Rasa NLU

Module 3: Dialog Flow & Bot Architecture

• Designing conversation flows
• Contexts and session memory
• Multilingual chatbots
• Handling small talk and fallback scenarios
• Using flowcharts, MindMup, or BotSociety for UX mapping

Module 4: Product Search & Recommendation

• Connecting chatbot with product database
• AI for product filtering: color, price, category
• Personalized recommendations using user history
• Integration with recommender engines (content-based, collaborative filtering)

Module 5: Order Tracking & Inventory

• Order lookup via chatbot
• Live status updates (via APIs from Shopify, WooCommerce, etc.)
• Alert messages for out-of-stock items
• Inventory queries using chatbot (“Is this in stock?”)

Module 6: Payments, Coupons & Conversions

• Collecting user details securely via bot
• Triggering cart abandonment messages
• AI-generated coupon codes based on user behavior
• Cart value upselling and cross-selling strategies

Module 7: Customer Support & Feedback Collection

• Resolving return/refund issues
• AI to understand complaint sentiment
• Creating and tracking support tickets
• Feedback loops and review collection

Module 8: Tools & Frameworks

• No-code bot builders:
  • ManyChat, Tidio, Chatfuel, Landbot
• Low-code / code-based frameworks:
  • Rasa, Dialogflow, Microsoft Bot Framework, BotPress
• GPT-based chatbots with OpenAI API

Module 9: E-commerce Integration

• Shopify, WooCommerce, Wix & Magento integration
• CRM integration (Zoho, HubSpot, Salesforce)
• WhatsApp Business API, Messenger, Instagram, Telegram bots
• Voice commerce with Alexa/Google Assistant

Module 10: AI-Powered Chatbots (LLMs)

• Integrating GPT-4 or Claude for smarter responses
• Prompt Engineering for ecommerce use-cases
• Hybrid bots: rule + AI together
• RAG (Retrieval-Augmented Generation) for knowledge-base queries

Module 11: Analytics, A/B Testing & Optimization

• Chatbot engagement metrics: CTR, session time, drop-off
• Conversion rate tracking
• A/B testing chatbot conversations
• Continuous improvement with user feedback

Module 12: Privacy, Security & Ethics

• GDPR/CCPA compliance
• Storing user data securely
• Handling sensitive info (cards, addresses) safely
• Bot abuse, ethical response modeling