As eCommerce and fashion retail evolve, intelligent systems are transforming how inventory is managed, sourced, and fulfilled. This masterclass explores the technical foundations of building AI-powered retail pipelines—integrating forecasting, predictive analytics, and reinforcement learning to support real-time, high-efficiency operations.

What You’ll Learn

• Understanding the development of central inventory visibility systems-using demand forecasting for real-time allocation and accurate inventory tracking.
• Learning machine learning techniques to optimize sourcing, routing, and improve delivery accuracy and customer satisfaction.
• Applying predictive analytics and reinforcement learning to dynamically allocate omni-channel inventory and optimize delivery routes and fulfilment operations.

Key Takeaways

• Access to sample code, exercises, and frameworks for integrating AI into retail for smarter decision-making, scalable systems, and improved inventory accuracy.
• Insights into building responsive systems that enhance fulfilments speed.

Why This Matters

Retailers are under increasing pressure to deliver faster, more accurate, and personalized service across channels. Intelligent inventory and fulfillment systems empower teams to meet this demand efficiently—without compromising operational control or customer experience. This session equips technical and business leaders with the tools to build scalable, data-driven infrastructure for modern retail.

Who Should Attend

Retail technologists, supply chain analysts, eCommerce strategists, and innovation teams working in:

• Fashion & Apparel
• Online Retail & Marketplaces
• Logistics & Fulfillment
• AI & Data Science for Retail