Savi Technology, Inc. offers sensor analytics solutions for logistics and supply chain operations. It tracks shipment locations in real time and applies analytics to accurately predict arrival of goods. The company provides Savi Insight, a solution that offers predictive and prescriptive supply chain analytics to forecast future outcomes, prevent operational disruptions, and reduce risk; Savi Tracking, a solution that monitors and provides operational intelligence for asset tracking, journey management, and electronic cargo tracking assets in motion; ETAaaS, a SaaS analytics solution that processes multiple real-time data sources, enterprise resource planning, and historical information; and...
3601 Eisenhower Avenue
Alexandria, VA 22304
Founded in 1989
Savi Launches Estimated Time of Arrival (ETA) as a Service to Deliver Unrivaled Accuracy and Visibility Across the Supply Chain
Jan 19 16
Savi launched ETA as a Service (ETAaaS™), the industry’s first service that provides granular ETA information on when goods will arrive at their intended destination. For the first time, global organizations can know ETA with ten times greater accuracy in order to maximize labor planning, substantially minimize costs, and improve overall customer service and loyalty. By utilizing Savi’s proprietary advanced predictive and prescriptive analytics solution, which processes multiple real-time data sources, ERP (Enterprise Resource Planning) and historical information and transforms the data into actionable intelligence, ETAaaS helps manufacturers reduce out-of-stocks, improve cross docking and optimize inventory management across the entire supply chain. Savi ETAaaS, which provides organizations with real-time alert notifications to quickly highlight if goods will arrive later or earlier than expected, improves supply chain forecasting and planning while reducing transportation and inventory carrying costs. ETAaaS is a scalable, SaaS analytics solution that processes massive amounts of machine-to-machine (M2M) data including telematics, real-time sensor and historical data, and applies advanced machine learning algorithms to transform the data into actionable, easy-to-grasp analytics that deliver the most accurate ETA estimates. Firms that rely on milestone-based ETA solutions or legacy planning systems cannot deliver real-time global multi-modal ETA across truck, rail, air and shipping because they do not utilize big data, machine learning and IoT (Internet of Things)-enabled technologies. These inefficient approaches have increased inventory levels by an average of four days over the past two years, while on time arrivals decreased by 5% in the same time frame due to transportation disruptions and delays. In contrast, Savi ETAaaS customers have witnessed a minimum of 10X accuracy improvement.