Supply chain planners cannot accurately predict container terminal delays and congestion in real-time

Supply chain planners currently rely on manual, daily reviews of terminal occupancy data to forecast container delays—a process described as 'art rather than science' that fails to provide reliable predictions. With mega-congestion waves rippling across ports unpredictably, planners lack actionable visibility into where boxes will be delayed and for how long, forcing them to make costly decisions based on incomplete information. Existing solutions don't aggregate real-time terminal utilization data into predictive intelligence that accounts for dynamic port conditions.