📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI in Retail and E-commerce Course DSTC, from foundations to a certified capstone project.
Outline
Introduction to AI in retail and digital commerce • Evolution from traditional models to intelligent commerce ecosystems • Role of AI in customer experience and operations • Drivers of AI adoption in modern retail
Outline
Sources of retail and e-commerce data • Customer journey mapping and behavioral analytics • Data collection from transactions and engagement signals • Challenges in data quality and personalization readiness
Outline
Customer segmentation and demand forecasting • Sales prediction and predictive analytics • Recommendation systems and marketing strategies • Performance evaluation of retail AI models
Outline
Conversational AI and virtual shopping assistants • Dynamic pricing and promotion optimization • Customer sentiment analysis and loyalty enhancement • Product recommendation tailored shopping experiences
Outline
AI-driven inventory optimization and replenishment • Demand sensing and supply chain forecasting • Warehouse automation and logistics intelligence • Operational efficiency: reducing stockouts and overstock
Outline
Computer vision for shopper behavior monitoring • Automated checkout and shelf monitoring • Visual search and image-based product discovery • Omnichannel retail integration strategies
Outline
Fraud detection in transactions and payments • AI for cybersecurity and secure interactions • Ethical concerns in consumer profiling • Privacy, transparency, and responsible AI practices
Outline
Generative AI in product content and digital merchandising • Autonomous retail and immersive commerce trends • Case studies in e-commerce personalization • Future of intelligent marketplaces and V-commerce
Earn government-registered certification in AI in Retail and E-commerce Course DSTC
e-Certificate and e-Marksheet issued on successful completion.
