AI-Driven Demand Forecasting in Business: Lessons from McDonald’s Georgia

In this webinar, we’ll break down a real AI forecasting transformation together with McDonald’s Georgia: how they moved from manual planning to store‑level, AI‑driven forecasting, what worked, what didn’t, and what results they achieved.

You’ll also learn the key 2026 forecasting trends and the practical steps retail, or any business can start implementing today.

Our speakers

• Giorgi Asatiani, Head of Business Intelligence & Data Analytics at McDonald’s Georgia
• Artem Stepanov, Product Owner SMART Decision Hub, SMART business

What You’ll Learn

• Why traditional forecasting breaks down in modern retail   
Understand the operational realities that make manual, Excel‑based forecasting unreliable — from fast‑changing demand signals to weekly fluctuations and unforeseen disruptions.

• Why McDonald’s Georgia decided to shift from Excel to AI tools   
Hear the real story behind the transition: when manual forecasting stops scaling, why store‑level precision matters, and how external shocks (like COVID) forced a new approach.

• How McDonald’s Georgia started the Demand Forecasting Project   
Get a behind‑the‑scenes look at the decision-making process, the early challenges, the role of time pressure, and why choosing a ready‑made AI solution became the optimal path.

• Implementation Story & Daily Operations   
Learn how the forecasting system was rolled out, how it works day‑to‑day, and how it drastically outperforms manual methods.

• And last but not least: the benefits of the AI forecasting journey    See how improved accuracy translates into real outcomes: reduced planning time, higher product availability, lower waste, smoother supply chain coordination — and how those operational wins ultimately drive business performance.