Suppliers United States Savi Technology (Lockheed Martin)
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Savi Technology (Lockheed Martin)

United States
Alexandria
1989
Private
$10-100m
51 - 200
Open website

Savi is the leader in applying big data analytics, Data Science, and Machine Learning to in-transit visibility. We develop innovative Internet of Things (IoT) and in-transit visibility solutions for the largest and most complex supply chains in the world. More than 1,000 companies and government organizations depend on Savi applications to reduce supply chain disruptions, improve delivery performance, and decrease logistics costs. For more information about Savi visit www.savi.com.

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Analytics Savi Insight? offers predictive and prescriptive supply chain analytics solutions. In-Transit Visibility Savi Visibility? helps organizations make better operational decisions with real-time information about critical business assets. Multi-Enterprise Grid Share a single view of truth with your enterprise, suppliers, customers, and partners Data Capture Hardware The promise of the Internet of Things is real-time, accurate, impartial, data collected for you and delivered to you.

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Lockheed Martin
Savi Technology is a provider of Industrial IoT analytics and modeling, networks and connectivity, sensors, and functional applications technologies, and also active in the food and beverage industries.
Technologies
Analytics & Modeling
Big Data Analytics
Predictive Analytics
Real Time Analytics
Sensors
GPS
RFID Readers
Functional Applications
Transportation Management Systems (TMS)
Networks & Connectivity
RFID
Use Cases
Inventory Management
Track & Trace of Assets
Vehicle Telematics
Functions
Business Operation
Industries
Food & Beverage
Services
System Integration
Savi Technology (Lockheed Martin)’s Technology Stack maps Savi Technology (Lockheed Martin)’s participation in the analytics and modeling, networks and connectivity, sensors, and functional applications IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies4
Global 50 CPG Company Enhances In-Transit Visibility & Analytics
A Global 50 Consumer Packaged Goods (CPG) company was facing significant challenges with its North American truck shipments, averaging 25,000 per month. The company lacked a system for real-time monitoring of inventory in-transit, leaving operation team members in the dark about real-time disruptions and unable to prevent or mitigate late or non-delivery for their customers. The company's new strategic cross-docking network was underperforming due to inaccurate inbound Estimated Time of Arrivals (ETAs), which reduced the number of goods that could be cross-docked. The company's Transportation Management System (TMS) and Enterprise Resource Planning (ERP) systems were not receiving real-time information and rarely received shipment plan updates. Consequently, the company had to employ hundreds of people to manually update ETAs by making check calls to carriers, drivers, and customers. This manual process was not only time-consuming and error-prone but also latent, with disruption reports often received well after they occurred.
Improve Just-in-Time Production with Real-Time Tracking of Goods
A leading global CPG company faced challenges in their European sector due to on-time delivery complications for shipments that crossed multiple land and sea borders. The company needed to plan heavily around the estimated time of arrival (ETA) of raw goods at their production facilities, which were limited on space. Receiving goods just-in-time for production was essential to minimize stock levels and avoid delays in production schedules. Therefore, they required a solution that would provide greater visibility and accurate ETAs to ensure timely receipt of materials.
Radically Improve Operations with Estimated Time of Arrival
A large Consumer Packaged Goods (CPG) company needed end-to-end supply chain visibility with an emphasis on timeliness. Their current visibility was limited to the day of delivery and lacked precise and accurate time of arrivals, causing numerous operational inefficiencies. The company had previously invested in traditional solutions, such as warehouse and transportation management systems, and spent millions of dollars working with several consulting and technology providers who didn’t deliver the results or solutions they needed. Ultimately, they were left relying on drivers to provide estimated time of arrivals (ETA) and employees to manually update statuses.
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