Aggregate petabyte-scale data from fleet-deployed sensors, devices, enterprise systems, and operational systems to generate accurate predictions of vehicle and asset failure. Arcanum Predictive Maintenance provides planners and operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver high-quality services, and reduce maintenance costs.
Leverage real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service. Arcanum CRM delivers AI-generated forecasts and scores in real time using insights from internal and external data sets.
Reduce energy costs and improve warehouse and building operations through real-time tracking, analytics, and optimization. Arcanum 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 supply chain visibility. Arcanum 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.