Confronted with rising volume and product portfolio complexity, the site implemented ML-powered demand forecasting, robotics and advanced scheduling algorithms. This led to a 28% throughput increase, a 70% boost in labour productivity, an 80% reduction in shortages, and a 31% improvement in on-time deliveries while cutting Scope 2 emissions by 34%.