UPS relies heavily on accurate volume forecasting for effective planning across Operations, Finance, and Marketing. However, identifying the key drivers behind volume fluctuations, customer behavior, service-level shifts, and Revenue Per Piece (RPP) changes currently requires extensive manual analysis.

Your challenge is to leverage Artificial Intelligence and predictive analytics to analyze historical and real-time shipment data, identify seasonality and trend shifts, predict future volumes, and automatically explain the underlying factors driving these changes.

Deliver an AI-powered forecasting solution that predicts future volumes, highlights growth or decline across customer segments, detects significant RPP shifts, and provides clear, actionable recommendations to help UPS optimize capacity and strategic decision-making.