The customer is a leading Indonesian manufacturer of hundreds of products operating numerous FMCG plants that adhere to strict production standards. Previously, each plant used separate systems or
depended on manual reporting, which weakened management’s ability to centrally control production performance. When downtime or quality issues arose, critical information often reached management with significant delays, causing strategic decisions to lag
while production losses continued.
This lack of integration made it nearly impossible to compare OEE across plants, despite OEE being a key benchmark for operational efficiency. Meanwhile, the company needed to ensure regulatory compliance, reduce the risk of procedural errors by operators, and
cut costs without compromising productivity.
Without an integrated, predictive platform, the company faced risks of unexpected downtime, slow emergency responses due to the absence of centralized monitoring, and a burdensome, inconsistent manual reporting process that was difficult to audit. In the long term, this situation threatened financial losses, supply chain disruptions, and damage to the company’s reputation.

Every pharmaceutical product must meet the strictest and most rigorous standards. Behind this requirement lies a delicate and complex process: continuously controlling temperature, humidity, and air quality within the production area. Even the slightest deviation from these parameters can severely compromise product quality and, more importantly, patient safety. Ensuring the stability and reliability of HVAC and Utility Plant systems quickly became Sanbe Farma’s top operational priority. Beyond simply safeguarding personnel and preventing potential operator errors, the team faced a heavy burden of monitoring and reporting tasks. These responsibilities consumed a significant amount of time and resources, which ultimately slowed overall productivity. With increasing demands for operational efficiency and the constant risk that any downtime might disrupt vital production schedules, Sanbe Farma urgently needed a smarter, more intelligent, and fully integrated system — one capable of delivering faster, more precise monitoring, reliable control, and actionable analysis at all times.

In the Food and Beverage (F&B) industry, maintaining stable machine parameters such as temperature and humidity is essential for ensuring product quality and safety. Operational difficulties arise when legacy monitoring systems can no longer handle data from dozens of sensors along the production line. These outdated control systems offer little flexibility, so any adjustments to data visualization or settings demand complex, time consuming technical work, which hinders field teams in effectively monitoring equipment conditions. Daily data collection often remains manual, forcing technicians to spend excessive time on operational reports, reducing productivity and increasing the risk of errors. To address this challenge, the customer needed a modern solution: a centralized platform that automatically aggregates sensor data into a simple, easy to configure dashboard, bridging the gap between Operational Technology (OT) and Information Technology (IT) without requiring complex programming

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.