Preventing Engine Overheating with Intangles’ Predictive Analytics
Intangles leveraged its advanced ML-driven system to preemptively alert a key cargo business customer of an imminent engine overheating issue, effectively preventing a significant vehicle breakdown and ensuring continuous fleet operation.
Situation
A key customer in the cargo business, operating multiple vehicles, encountered a latent, undetected malfunction in one of their vehicles. On the 4th of July, during early evening hours, despite the absence of any error codes or the Check Engine Light activation, the vehicle appeared to operate normally but was on the brink of a potential breakdown.
Solution
The customer used Intangles’ ML-driven system, which issued an engine overheating alert for the vehicle in question. Intangles was then consulted for a more in-depth analysis. Our team conducted a thorough diagnosis and determined the alert was predictive, based on anomalous engine temperature trends signaling a cooling system issue.
Success
Following our recommendations, the customer inspected the vehicle and discovered a coolant pipe leak— a serious issue that could lead to engine seizure due to overheating if left unaddressed. By topping up the coolant and repairing the leak, the customer effectively averted a major vehicle breakdown and potential engine block failure.
Outcome
This incident highlights Intangles’ commitment to providing meticulous, detailed analysis of vehicle health parameters, enabling our customers to prevent unexpected breakdowns and maintain continuous operations. Our platform’s predictive capabilities and round-the-clock support continue to uphold the highest standards in vehicle fleet management, ensuring optimal operational efficiency and reliability.
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