Seco Tools Partners with MachineMetrics to Help Customers Make Data-Driven Decisions

Seco Tools is expanding its customer service capabilities through a partnership with MachineMetrics. MachineMetrics’ manufacturing analytics engine will provide Seco and its customers a technological resource for their advancement into Industry 4.0.

“Seco has always been committed to providing our customers with the best products and services available. Partnering with MachineMetrics will allow us to not only continue to help our customers learn about themselves but will transform our ability to help them improve their machine tool utilization and production capacity,” says Ben Alexander, business manager for online services at Seco Tools.

Seco plans to use the MachineMetrics Industrial Internet of Things platform and its manufacturing analytics applications as a cornerstone in its expansion into new technology services. With data provided by MachineMetrics, Seco can apply its experience and engineering capabilities to the continuous improvement of its customers by helping them make data-driven decisions to improve their efficiency and bottom line.

“This partnership offers an exciting opportunity for both MachineMetrics and Seco Tools to demonstrate the value of data-driven manufacturing and analytics to Seco Tools users around the world,” says Bill Bither, CEO of MachineMetrics, “Together, we can uncover industry-first insights into machine tool and tooling optimization that will enhance the availability and reliability of machines for customers.”

“MachineMetrics has provided us valuable insight into our own Custom Products facility in Troy, Michigan, allowing us to reduce our lead time while improving on-time delivery and quality. Now, by partnering with MachineMetrics, we see the opportunity to do the same for our customers,” says Rob Keenan, president of Seco Tools North America, “By analyzing data output from machine tools, we can deploy our technical experts to work closely with our customers to identify bottlenecks and other issues that lead to extended machine downtime.”