Case Study: a largest port operator company achieves improved crane reliability and reduced spares inventory with VROC

No-code AI assisted this Port Operator to improve crane reliability and decrease spares inventory, saving thousands

The largest port operator company faced significant challenges with the reliability of its ageing port cranes, which led to unplanned downtime and excessive maintenance costs. To increase reliability, they had resorted to over-maintenance, which resulted in a large and costly spare parts inventory. They partnered with VROC and its no-code AI platform to gain better insights and predictability for their equipment failures.

VROC implemented its AI solution by analyzing historical crane data to build models that predict faults and identify their root causes. The platform then used live data to provide real-time analytics on impending failures. This allowed the customer to plan maintenance proactively, automatically generate work orders, and significantly reduce their spares inventory. The results for the port operator, facilitated by VROC, included substantial savings in maintenance costs and the avoidance of unplanned downtime.