Machine Learning

2026 marks a turning point. IoT-connected equipment and branded digital portals are no longer experimental; they are becoming the backbone of modern OEM aftermarket strategies. OEMs that embrace this shift will unlock new revenue streams, strengthen customer relationships, and future-proof their businesses for the next decade.

In machine building and industrial equipment, selling a machine starts the customer relationship. The real value and long-term revenue come from service, support, and parts. Traditionally, selling services relies on waiting for problems, manual outreach, and assumptions about machine use.

In today’s competitive industrial and manufacturing landscape, customer experience doesn’t stop at the OEM—it extends to every distributor, service partner, and third-party that interacts with the end user. Yet, many OEMs still rely on disconnected systems, generic tools, or unbranded solutions when it comes to enabling their partners in the field.

In machine building and OEM operations, field service is often treated as a reactive cost center—something that kicks in when things go wrong. But what if your service operations could become a strategic source of insight and differentiation?

While differentiation helps win sales, profitability comes from operational efficiencies and new revenue opportunities.