In the automotive component manufacturing industry, efficiency and precision are everything. However, companies often face several challenges, including energy inefficiency, unpredictable machine failures, and the rigidity of traditional monitoring systems. High electricity costs from poorly optimized equipment, unexpected breakdowns causing costly downtime, and complex SCADA systems that require coding expertise all slow down operations and reduce productivity. One of the biggest hurdles is the reliance on manual inspections for machine health monitoring. This not only exposes workers to potential hazards but also leads to inconsistent assessments, making it harder to predict failures before they happen. Without an effective predictive maintenance system, manufacturers struggle with unplanned downtime and expensive emergency repairs. As an automotive component manufacturer, Sugity Creatives faces significant challenges in maintaining machine reliability and production efficiency. Machine condition monitoring still relies on manual inspections, which are time-consuming and prone to inaccuracies. Without structured historical data, the maintenance team struggled to identify failure patterns and prevent recurring issues. As a result, technicians spend excessive time on routine checks, reducing productivity and hampering operational efficiency. The customer needed a more proactive system to minimize downtime with predictive maintenance, optimize staff working hours, boost productivity, and reduce operational costs and emergency risks.