Reduce inventory holding costs, improve cash flow and supply chain visibility, and increase the productivity of inventory analysts. C3.ai Inventory Optimization applies advanced machine learning to analyze variability in demand, supplier delivery times, quality issues, and product-line disruptions to build real-time recommendations and monitoring, so users can set optimization by confidence level and receive real-time notifications and root-cause analysis. Global manufacturers using C3.ai Inventory Optimization have decreased inventory levels by 35%.
Aggregate petabyte-scale data from sensors, devices, enterprise systems, and operational systems (e.g., SCADA, OMS, GIS) 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 services- based differentiation, and reduce maintenance costs.
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, building optimization, demand response, and anomaly detection to lower costs, improve operations, and meet energy- efficiency goals.
Garantice la salud operativa y la implementación óptima de los dispositivos sensores IoT con 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.
Leverage real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service. C3.ai CRM delivers AI-generated forecasts and scores in real time using insights from internal and external data sets.
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.
Allow the real-time visualization of loT sensor devices with machine learning, production status monitoring, and device AR control.
Ensure the proper collection and distribution of a product, inventory improvement, barcode scanner, documentation process, and reduce errors.