How modern forecasting pipelines turn weak signals, live scenarios and agentic AI into more robust S&OP decisions.
In a world of constant market shocks, traditional forecasts often fall short. Statistical models are blind to what never appeared in the historical data: geopolitical shifts, new regulations or short-term competitor campaigns can distort the picture.
The result is a forecast that may be mathematically correct, but still insufficient for operational S&OP practice.
In this webinar, we will show how modern forecasting pipelines close this gap and take your S&OP alignment to a new level.
What to expect in this webinar:
- Event-based modeling and trend radar: Integrate internal effects and external market drivers systematically. With AI-powered scanning, weak signals from geopolitics or regulation can be identified in unstructured data before they show up in traditional indices.
- Simulation and scenarios: AI-based what-if simulations help teams assess business scenarios such as “10% more demand next year: is it feasible?” and anticipate supply chain bottlenecks early.
- Agentic AI and orchestration: AI agents automate the many specific adjustments that turn a forecast into a reliable planning instrument. This enables highly tailored pipelines that reflect operational nuances and constraints with much greater precision.
Learn how to create tailored solutions when standard approaches fail, and how to combine human expertise with AI to make forecasts more robust and closer to real decision-making without replacing your existing systems.
Who should attend?
- Professionals responsible for supply chain, demand planning and S&OP
- Teams in data science and business analytics
- Decision-makers who want forecasting to function as intelligent decision support rather than a black box
Attention: The webinar language is German.