Forecast staffing needs from ticket volume

Problem
Staffing goals are currently set by manual estimates, which may not reflect actual workload patterns and can lead to over or under-staffing.

Request
Use analysis of historic ticket volumes to automatically forecast staffing goals instead of relying on manual estimates.

Context
Data-driven forecasting would align staffing decisions with actual demand patterns.