Data-driven Optimizations in Manufacturing - ERP Spain.com - España y América Latina

How a global manufacturer used Machine Learning to save $millions in repair costs Discover how we saved a global manufacturer $millions in repair costs and improved product quality with machine learning. And how our custom-made, creative and clear data visualizations empowered technicians and executive teams to help make better data-driven decisions. What to expect: "Our approach is creating high costs per unit, shipping delays and even worse, does not always prevent DOA and failure rate in the field. We can’t expand our business until we solve this" Executive, Global Technology Manufacture In this webinar, experts from our data insights team, discuss how Calligo partnered with a leading manufacturer specialized in high-end computer boards, to create a bespoke machine learning solution that saved the organization $millions in repair and operating costs. The problem: • 2% of daily production likely to be identified as faulty • Engineers would use gut instinct to replace components • Approx. $10M per annum of repair costs The solution: • Use historic data and real-time product data with machine learning to make better decisions on component repairs • Constantly evolving machine learning models • Continuous access to accurate, high-performing and quality outputs The team will also demonstrate the hand-crafted dashboards, specifically created for the technicians and the executive team, and how they helped inform the team to make better decisions, reduce unnecessary repairs, and ultimately, save the organization millions.