Struggling with spreadsheet-driven forecasting, managing multiple entities and banks, Danone North America could only forecast receivables every six months. Moreover, with the existing process failing to capture deductions and customer payment behavior, they had to rely on assumptions. Using AI, they were able to forecast receivables daily with invoice-level granularity and factor in early payments, deductions, and customer behavior into the models.

Join this session to learn how Danone NA has set out to perfect its receivables forecasting process where it can now predict with 96% accuracy across business entities.

Learning Objectives:

  • How to shift to a daily centralized reporting from a spreadsheet-driven process
  • How to roll out to out technology solutions for multiple entities by managing ERP data
  • How to contribute to the efficacy of treasury reports by including A/R forecasts
  • How to understand AI use-cases in capturing customer deductions and early payments into the forecasts