06.27.17
Savi is in the process of obtaining Federal Risk and Authorization Management Program (FedRAMP) compliance. Savi strives to become the first supply chain analytics provider to achieve this distinction, marking a milestone for the company’s ongoing commitment to providing solutions to the US government.
The Federal Risk and Authorization Management Program (FedRAMP) is a government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. FedRAMP drives government agency cloud adoption by providing cloud service providers (CSPs) with a single accreditation that is usable by all federal agencies. By selecting a CSP that provides cloud solutions with a FedRAMP SaaS-level certification, agencies are assured that the required security standards are met, saving them time and money. The FedRAMP approach employs a “do once, use many times” framework that saves an estimated 30% to 40% of government costs.
“Savi, which has been working with the US government, specifically the Department of Defense, for over 25 years, is honored to be the first supply chain analytics provider on its way to receiving this endorsement,” said Rosemary Johnston, VP of government sales and operations. “Our innovative supply chain solutions, which leverage the power of the Internet of ‘Things’ (IoT)/ Network of ‘Things’ (NoT) and prescriptive data analytics, will provide the US government with complete, real-time transparency across its global supply chain, making it more efficient and effective.”
Savi Visibility delivers the ability to see the end-to-end movement of multiple mode shipments and precisely predict when shipments will arrive at their destination. Savi solutions consume and integrate billions of live streaming data points from the IoT, sensor readings, GPS, telematics and ocean vessel locations to reveal comprehensive supply chain visibility.
Savi Visibility customers saw an improvement in ETA forecasting that was six times more accurate than planned ETAs using live streaming data alone. And after applying machine learning, Savi Visibility produced ETAs that were on average 20 times more precise over time.
Because Savi Visibility can alert on late or trending late shipments, early arrivals, deviations from plan, and cargo tampering, supply chain managers can focus attention where it’s needed.
The Federal Risk and Authorization Management Program (FedRAMP) is a government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. FedRAMP drives government agency cloud adoption by providing cloud service providers (CSPs) with a single accreditation that is usable by all federal agencies. By selecting a CSP that provides cloud solutions with a FedRAMP SaaS-level certification, agencies are assured that the required security standards are met, saving them time and money. The FedRAMP approach employs a “do once, use many times” framework that saves an estimated 30% to 40% of government costs.
“Savi, which has been working with the US government, specifically the Department of Defense, for over 25 years, is honored to be the first supply chain analytics provider on its way to receiving this endorsement,” said Rosemary Johnston, VP of government sales and operations. “Our innovative supply chain solutions, which leverage the power of the Internet of ‘Things’ (IoT)/ Network of ‘Things’ (NoT) and prescriptive data analytics, will provide the US government with complete, real-time transparency across its global supply chain, making it more efficient and effective.”
Savi Visibility delivers the ability to see the end-to-end movement of multiple mode shipments and precisely predict when shipments will arrive at their destination. Savi solutions consume and integrate billions of live streaming data points from the IoT, sensor readings, GPS, telematics and ocean vessel locations to reveal comprehensive supply chain visibility.
Savi Visibility customers saw an improvement in ETA forecasting that was six times more accurate than planned ETAs using live streaming data alone. And after applying machine learning, Savi Visibility produced ETAs that were on average 20 times more precise over time.
Because Savi Visibility can alert on late or trending late shipments, early arrivals, deviations from plan, and cargo tampering, supply chain managers can focus attention where it’s needed.