Fierce New Product Planning 2024

Forecasting in large organisations faces a number of challenges that go beyond the forecast itself. The bigger the number of stakeholders and assets, the bigger the need for assumption consistency and transparency and alignment on an agreed forecasting process. As much as Excel is capable of supporting very complex forecasting models, additional layers of functionality are required to meet the operational and organisational challenges in this situation. In absence of an obvious gold-standard, which strategies do different types of organisations pursue to make the forecasting process most efficient?
 
It appears that the topics of IRA and the impact of AI rank high in influencing forecasting both near term and long term. How do forecasters deal with the impact and uncertainties around the IRA? Where do experienced forecasters see the most opportunity for AI to either improve forecast accuracy, help with demand planning or support insightful analytics?
 
Join our panel of experienced forecasting professionals to discuss the above questions and hear their vision of the future in forecasting.