Improve Service Outcomes In Capital Equipment With AI

When it comes to capital equipment, artificial intelligence (AI) plays an increasingly important role in optimizing machine performance, ensuring uptime, and providing remote service whenever possible. That’s because today SLAs are more complicated, and service companies are moving towards outcome-based or servitization models and away from reactive break-fix work. Ultimately, both manufacturers and service organizations want to deliver better customer experiences while limiting downtime and financial losses. 

For capital equipment manufacturers, now is the right time to embrace these modern service offerings, but there are challenges to adoption, including

• The increasing complexity of capital equipment machinery
• Shifting service workforce due to high industry turnover, a skills gap, and a retirement wave
• Move towards more remote or self-service offerings

Here are three ways AI will help service leaders and teams overcome the challenges and thrive in the new landscape for servicing capital equipment.