Vehicle Insights

We rely heavily on our vehicles to travel from one place to another - and it is a major inconvenice when they are unavailable. In order to reduce this downtime, we need to be able to accurately predict when these vehicles may breakdown - and be prepared to take corrective actions. This can provide major cost savings, better predictability, greater availability and convenience. This is where predictive maintenance with AI can help.

We want our vehicles to keep running on schedule and avoid lengthy breakdowns, hence we must ensure proper maintenance to prevent breakdown. Eradicating breakdown or failure can be achieved via scheduled periodic maintenance or by using predictive data analytics.

In the former case, it is unlikely that the factors which caused the breakdown are completely understood. This is also likely to be more cost-intensive since the process does not focus on extracting maximum value before scheduling maintenance, e.g. changing the tires before they complete their life cycle. Consequently, you end up spending more on maintenance.

Predictive Maintenance uses AI to learn from historical data and uses live data to analyse patterns, determine optimum resource utilisation and predicts failure before they happen. It can also be used to schedule maintenance in advance. But its not just vehicles we rely on. We also depend on many other different systems and machines - and evey one of these systems can benefit from Predictive Maintenance.

Predictive Maintenance can avoid failures, minimise downtimes, keep customers happy and save money.