AI for Retail & Commerce Training
Build a clear, practical understanding of how artificial intelligence transforms retail and commerce — from demand forecasting and inventory optimization to personalization, pricing, and customer experience — responsibly and at scale.
Request programme details
Flexible duration Executive briefing (1 Day) or 2-4 days in-depth training
Practical and applied Real retail use cases, AI tools, and decision-ready frameworks
Designed for retail leaders Executives, merchandising, e-commerce, and transformation teams
What this training delivers
- AI fundamentals tailored to retail and commerce (GenAI, machine learning, automation, decision support)
- High-impact use cases across demand forecasting, pricing, merchandising, personalization, and customer experience
- Retail data foundations: sales, customer, inventory, supply chain, and omnichannel performance data
- Responsible AI for retail: customer privacy, fairness, transparency, brand protection, and regulatory compliance
- Adoption and scale-up: operating model, tool integration, change management, and value tracking
Training modules
AI Foundations for Retail & Commerce
Understand AI, machine learning, and generative AI in a retail context. Learn what AI can and cannot do, how models are trained, and how to evaluate solutions realistically.
AI for Demand Forecasting & Inventory Optimization
Demand prediction, stock optimization, assortment planning, and supply-demand balancing to reduce stock-outs and overstock.
AI for Pricing, Promotions & Merchandising
Dynamic pricing, promotion optimization, margin management, and AI-assisted merchandising decisions across physical and digital channels.
AI for Personalization & Customer Experience
Recommendation engines, personalization, customer segmentation, loyalty optimization, and omnichannel experience enhancement.
From Pilot to Scale
How to move from pilots to enterprise deployment: data readiness, integration with retail systems, governance, user adoption, and continuous performance measurement.
Who should attend
- Retail and e-commerce executives
- Merchandising, pricing, and category management teams
- Digital, omnichannel, and customer experience teams
- Retail analytics, data, and supply chain teams
- Transformation, innovation, and strategy leaders
