The US cash forecast is hard to get right, and past patterns are a poor guide. Activity is driven by logistics, trading windows, product mix and decisions made at HQ. Data sits with business teams and in spreadsheets, and group tools often serve HQ better than the region. This session is a working look at how members build their US forecast: where the data comes from, which drivers matter, how accuracy is measured, and how variances are explained to HQ. Members will share what has improved their forecasts, what hasn’t, and where AI is or isn’t helping. The aim is a practical comparison you can take back to your own process.
