A regional logistics provider with $50M annual revenue faced a critical challenge: rapid market expansion demanded 10x throughput capacity, but traditional scaling (more warehouses, more staff) was economically unviable.
Our assessment revealed severe digital entropy: 17 disconnected software systems, manual data reconciliation consuming 40% of operations staff time, and decision latency of 24-48 hours for routing optimization. The organization was operating as a collection of parts, not a coherent system.
Rather than replacing systems piecemeal, we designed a unified data layer with AI-powered orchestration. Key interventions: (1) Event-driven architecture connecting all systems, (2) Real-time ML models for demand prediction and routing, (3) Autonomous exception handling for 80% of standard issues.
12 months post-implementation: 10.2x throughput increase, 15% headcount reduction (redeployed to strategic roles), 92% reduction in decision latency, 34% improvement in customer satisfaction scores.