Discover how a global manufacturer saved $millions in repair and operating costs as well as improving product quality with machine learning and custom-made, creative and clear data visualizations that empowered the technicians and executive teams to help make better data-driven decisions.
"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 Manufacturer
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. Prior to the introduction of machine learning, the organization identified 2% of its daily production as faulty whilst the engineers used “gut instinct” to replace the components, resulting in approx. $10m in repair costs per annum.
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.