Manufacturing

AI-BDA helps manufacturers to integrate process data from enterprise systems, operational sources, sensors, and external providers to power augmented intelligent methods that generate predictive insights.

AI-BDA reduces inventory holding costs, improve cash flow and supply chain visibility, and increase the productivity of inventory analysts.

AI-BDA 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, to receive real-time notifications and root-cause analysis.

AI-BDA predictive maintenance provides planners and operators with a comprehensive insight into asset risk, to maintain higher levels of asset availability, and reduce maintenance costs.

AI-BDA reduces energy costs and improve building operations through real-time tracking, analytics, and optimization.

AI-BDA 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.

AI-BDA Sensor Health uses advanced AI/machine learning to deploy IoT sensor devices, predict sensor failures, and identify sensor and network health issues with a high degree of precision.

AI-BDA leverages real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service.