[Part 1] Finance Leader’s Guide to AI Strategies & Real World Applications

In this webinar, Matija Nakić (CEO, Farseer) and Božidara Cvetković (Data Science Team Lead, BE-terna), cut through the AI hype and get straight to the use cases that actually move the needle for finance and supply chain teams — with real examples, honest assessments of what works, and a clear-eyed view of where AI delivers measurable ROI.

This is the first part of a two-session series designed for finance leaders who want to move from curiosity to confident, structured AI adoption.

What you’ll learn:

• How demand forecasting has evolved — why machine learning consistently outperforms statistical methods, and how to choose the right approach for stable, fluctuating, or shock-driven demand
• How end-to-end inventory optimization works in practice, from demand forecasting to automated replenishment orders, including a real case where 97% of orders were automated and stock turnover doubled
• How customer behavior modeling and recommendation systems drive revenue and why Amazon attributes 35% of its revenue to its recommendation engine
• How cash flow forecasting is changing, from manual spreadsheet-based models to automated, customer-level predictions, and when it makes sense to invest in a custom-built solution
• How large language models are being applied right now — including Farseer’s AI modeling assistant and a supply chain monitor that automatically detects disruptions and adjusts purchase orders

The session also includes a practical framework for evaluating which AI use cases are worth pursuing, and a preview of part two covering AI strategy and implementation inside organizations.

Who this is for: CFOs, finance directors, FP&A managers, supply chain leaders, and business professionals who want concrete, actionable AI use cases — not theory.