Energy companies have geographically dispersed capital-intensive assets that require continuous monitoring and maintenance to maximize profits for optimal delivery. IoT analytic solutions can predict and avoid costly maintenance events at scale using a database platform that cost effectively streams, scores, and responds to data events in real time.

One SingleStore customer built an IoT solution that predicts drill bit failure before costly outages occur. Through the use of complex scoring, they can track dozens of readings in real time to adjust drill operations to maximize performance and availability.

Optimizing the energy supply chain yields improved demand forecast accuracy and reduces product delivery lead times. Supply chain analytics improves energy margins and revenue with minimal technology investment.

Customers use SingleStore to drive instant visibility and respond to a variety of supply chain processes including storage management, inventory management, transportation operations, and portfolio optimization. They rely on the fast ingestion and analytic performance for their supply chain optimization programs.

Energy and utility companies manage a diverse set of equipment that is responsible of efficient operations for energy production and delivery. The collection of data can identify costly outages or support new product packaging for innovative revenue programs.

One SingleStore customer ingests and analyzes smart grid data to enable real-time visibility for energy delivery while immediately identifying energy usage patterns to help customers lower power consumption.