Manufacturing

Manufacturing

Increase Throughput, Supply Chain Efficiencies, and Services Revenue

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.


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


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.


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.


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


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.


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.


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