Facility Processing Optimization
AI-powered scheduling identified $540K+ in operational improvements at a vehicle processing center
A Fortune 500 vehicle processor was struggling with manual scheduling across multiple processing bays. Unpredictable bottlenecks, variable labor utilization, and complex vehicle mix created inefficiencies that were invisible to existing reporting.
NaviQInsight built an AI-powered scheduling optimization model that analyzed historical processing times, labor patterns, and vehicle sequences to predict bottlenecks before they occurred and optimize bay assignments.
βWe finally have visibility into inefficiencies we didn't know existed. The AI predictions have transformed how we schedule our operations.β
Operations Director β Fortune 500 Vehicle Processor