通过可扩展的预测性维护解决方案，提高生产效率、增强可持续性，并减少高昂的维修成本。借助自动化分析、人工智能和对话式界面，预测性维护变得前所未有的简单。
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.