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GenAI in E-commerce

Transform your e-commerce business with Generative AI for personalized experiences, intelligent automation, and scalable growth.
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Course Duration: 10 Hours
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GenAI in E-commerce – Online Course
 
GenAI in E-commerce is an advanced, self-paced online course tailored for e-commerce professionals, digital marketers, product managers, content teams, and growth strategists who want to harness the transformative power of Generative AI (GenAI) to drive innovation, personalization, and scalability in the digital commerce landscape. This course empowers learners with the frameworks, tools, and practical skills to apply GenAI across the entire e-commerce value chain—from product discovery and content creation to customer engagement, fulfillment, and retention.
 
As online competition grows and customer expectations shift rapidly, traditional strategies fall short in delivering personalized and agile experiences. GenAI technologies, such as large language models (LLMs), vision models, and AI agents, offer a breakthrough—enabling businesses to create dynamic product content, hyper-personalized recommendations, automated customer service, and data-informed decision-making at scale.
 
This course guides you step-by-step through building and deploying GenAI tools that can enhance conversion rates, reduce cart abandonment, improve customer loyalty, and streamline backend operations.
 
 
What is GenAI in E-commerce?
 
GenAI in E-commerce refers to the strategic use of Generative Artificial Intelligence technologies—like GPT-based LLMs, image generation models, AI agents, and prompt engineering—to create content, automate processes, and personalize user experiences in online commerce. Unlike traditional AI which classifies and predicts, GenAI can generate product descriptions, chat responses, SEO content, and even visual assets based on structured and unstructured input.
 
This capability is revolutionizing how e-commerce businesses operate, scale, and compete in saturated markets. The course teaches you how to implement and scale GenAI-powered solutions that directly impact sales, engagement, and operational efficiency.
 
 
How to Use This Course
 
  1. Define Your Use Cases – Begin by identifying areas in your business where GenAI can drive the most impact (e.g., content, support, recommendations).
  2. Follow Module Progression – The course starts with foundational concepts and builds toward implementation and deployment. Complete modules sequentially.
  3. Experiment with Tools – Leverage hands-on labs using GPT, Stable Diffusion, LangChain, and e-commerce automation platforms.
  4. Use Templates Provided – Apply prebuilt GenAI prompt templates for content generation, chatbots, and email marketing to accelerate implementation.
  5. Work on Live Projects – Design and deploy GenAI-powered features like product personalization engines, intelligent chatbots, and visual content automation.
  6. Engage with Peers – Share learnings, feedback, and project results with the community forum or your internal team.
  7. Capstone Project – Build a comprehensive GenAI strategy and prototype for an e-commerce use case of your choice.

Course Objectives Back to Top
By the end of the course, learners will be able to:
 
  1. Understand the strategic value of GenAI in e-commerce operations.
  2. Generate personalized product descriptions and marketing content using LLMs.
  3. Create AI-powered product recommendation systems.
  4. Design and deploy GenAI chatbots for 24/7 customer service.
  5. Implement dynamic pricing and promotion strategies using AI.
  6. Automate SEO optimization using GenAI-generated content.
  7. Create AI-generated product visuals and mockups.
  8. Integrate GenAI into customer journey mapping and email marketing.
  9. Evaluate performance metrics for GenAI models in commerce.
  10. Build a scalable and ethical GenAI implementation roadmap.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to GenAI in E-commerce
  • Generative AI vs Traditional AI
  • Use Cases Across the E-commerce Funnel
  • Platforms, Tools & Architecture Overview
Module 2: GenAI for Product Content Creation
  • Generating SEO-Optimized Product Descriptions
  • Dynamic Attribute Mapping and Product Variants
  • Multilingual Content Generation with LLMs
Module 3: Visual AI for Product Media
  • Creating AI-Generated Product Images (DALL·E, Midjourney, SDXL)
  • Generating Lifestyle Scenes and Mockups
  • Image-to-Text and Text-to-Image Integrations
Module 4: AI-Powered Product Recommendations
  • Generating Context-Aware Recommendations
  • Fine-Tuning LLMs for Behavioral Recommendations
  • Using Retrieval-Augmented Generation (RAG) in Recommenders
Module 5: GenAI for Customer Support & Sales Agents
  • Building AI Chatbots Using LangChain + GPT
  • FAQ Generation from Knowledge Base
  • Automating Pre-Sale and Post-Sale Support
Module 6: Marketing Automation with GenAI
  • AI-Generated Email Campaigns
  • Personalized Subject Lines and CTAs
  • Automated Social Media Post Creation
Module 7: Dynamic Pricing & Promotion Engines
  • AI-Driven Price Optimization Models
  • Custom Offers & Bundles with Behavioral Inputs
  • Limited-Time Promotion Design Using AI
Module 8: Customer Journey & Retention AI
  • Predicting Churn and Designing Retargeting Campaigns
  • Dynamic UX Personalization Using LLM Agents
  • GenAI in Loyalty Program Personalization
Module 9: Backend Operations and Fulfillment
  • GenAI for Inventory Narratives and Vendor Coordination
  • Smart SKU Grouping and Classification
  • Auto-Generating Supplier Emails and Summaries
Module 10: Ethics, Risk & Governance in GenAI Commerce
  • AI Hallucination Risk in Commerce
  • Brand Voice, Bias, and IP Protection
  • Responsible AI Use and Customer Consent
Module 11: Capstone Project
 
  • Choose a Business Scenario (e.g., Fashion, Electronics, FMCG)
  • Build a GenAI Commerce Strategy & Deploy Prototype
  • Present Results via Dashboard and Customer Storyboards
Certification Back to Top

After completing all modules and the capstone project, participants will earn a Certificate of Completion from Uplatz, officially recognizing their expertise in applying Generative AI in the e-commerce space. This certificate validates both technical and strategic understanding, making learners stand out for roles in AI-powered marketing, product innovation, or commerce strategy. It also enhances your resume and LinkedIn profile with a forward-looking skill set that's increasingly demanded across B2C and DTC brands. The credential reflects real-world capability in building and integrating GenAI solutions across the e-commerce lifecycle.

Career & Jobs Back to Top
Generative AI is revolutionizing digital commerce, and businesses are actively hiring professionals who can unlock its potential. This course prepares you for roles such as:
  • E-commerce AI Strategist
  • GenAI Product Manager
  • Digital Merchandising Analyst
  • Personalized Marketing Specialist
  • Conversational AI Designer
  • Visual Content Automation Lead
  • Customer Experience AI Architect
  • Revenue Optimization Analyst
  • GenAI Implementation Consultant
  • Retail Innovation Manager
E-commerce companies, SaaS providers, retail tech startups, and marketplaces are adopting GenAI to automate operations, enhance personalization, and gain competitive advantage. With this course, you'll be ready to lead GenAI innovation across product, marketing, and operations teams, making you an invaluable asset in the digital retail economy.
Interview Questions Back to Top
1. What is the role of GenAI in e-commerce?
GenAI enables content creation, personalization, and automation across the e-commerce lifecycle—improving customer engagement, operational efficiency, and revenue growth.
 
2. How does GenAI improve product discovery?
By generating personalized search results, dynamic filters, and smart recommendations based on user behavior and preferences.
 
3. What tools are used for GenAI content generation in commerce?
Popular tools include OpenAI (GPT), DALL·E, Midjourney, Jasper, Copy.ai, and LangChain for agentic workflows.
 
4. How does GenAI enhance customer service?
Through intelligent chatbots that provide instant support, order tracking, product suggestions, and post-sale service using conversational LLMs.
 
5. What are the benefits of AI-generated product descriptions?
They reduce content creation costs, speed up time-to-market, and enable multi-language listings for global expansion.
 
6. What is retrieval-augmented generation (RAG) in recommendations?
RAG combines a retrieval system (search engine) with a generative model to create contextually accurate responses or suggestions.
 
7. How does GenAI support dynamic pricing strategies?
By analyzing user behavior, competitor pricing, and demand patterns to adjust prices in real-time and personalize offers.
 
8. What risks should be managed when using GenAI in e-commerce?
Hallucinated content, bias in recommendations, copyright violations, and breaches in brand tone or compliance.
 
9. How can GenAI impact SEO in e-commerce?
By generating keyword-rich, long-tail product content and landing pages that improve organic discoverability and reduce reliance on paid ads.
 
10. How do you measure the ROI of GenAI in e-commerce?
Through KPIs like conversion rate uplift, reduced bounce rate, content creation time saved, customer satisfaction, and sales attribution from GenAI-powered campaigns.
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