利用可擴充的預測性維護解決方案來提高生產力、提升永續性，並減少價格高昂的修復需求。借助自動化分析、AI 和對話式介面，預測性維護比以往任何時候都更容易。
Challenge
Unplanned machine downtime is a significant cost for food and beverage companies. Every breakdown results in loss of labor, raw materials and sales, affecting not only your bottom line, but your reputation and the environment.
Solution
Predictive maintenance offers advanced analytics of your machine and system data. The platform facilitates streamlined decision-making between users, AI and maintenance experts, minimizing downtime and optimizing resource allocation.
Manual analysis leads to gaps in maintenance and difficulty aligning with asset reliability and performance goals. With advanced analytics and AI, food and beverage manufacturers can now enact scalable predictive maintenance in production across assets and sites, leading to:
Automated analytics generate machine and maintenance worker behavior models, providing actionable insights without manual intervention.
Process data from different maintenance software within a private cloud environment, safeguarded against external access.
Through machine learning analysis, the platform delivers notifications using interactive, conversational AI.