Leverage AI/machine learning to enable the proactive identification of customers at risk of churning, targeted cross- sell and up-sell opportunities for existing customers, and a shift to proactive vs. reactive after-sale services.
Aggregate petabyte-scale data from sensors, devices, enterprise systems, and operational systems to generate accurate predictions of asset failure. C3.ai Predictive Maintenance provides planners and operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver high-quality network services, and reduce maintenance costs.
Ensure the operational health and optimal deployment of IoT sensor devices with machine learning. C3.ai Sensor Health uses advanced AI/machine learning to predict sensor failures and identify sensor and network health issues with a high degree of precision.
Reduce energy costs and improve building operations through real-time tracking, analytics, and optimization. C3.ai Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, demand response, and anomaly detection to lower costs, improve operations, and meet energy-efficiency goals.
Reduce inventory holding costs and improve cash flow and parts supply chain visibility. C3.ai Inventory Optimization applies advanced machine learning to analyze variability in demand, supplier delivery times, and quality issues to build real-time recommendations and monitoring, so users can set optimization by confidence level and receive real- time notifications and root-cause analysis.
Indoor positioning and dynamic navigation
Guided and regular maintenance inspections, provide information related to the inspections, location-based content, and time record of tasks carried out in the application.
Created to encourage learning and training environment, easy introduction process, and provide safety instructions.
Visualization of piping and wiring through the walls.