Savi Technology (Lockheed Martin) Case Studies Radically Improve Operations with Estimated Time of Arrival

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	Radically Improve Operations with Estimated Time of Arrival Savi Technology (Lockheed Martin)

Radically Improve Operations with Estimated Time of Arrival

Savi Technology (Lockheed Martin)

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics Functional Applications - Transportation Management Systems (TMS)
Applicable Industries	Consumer Goods
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Fleet Management Supply Chain Visibility
Services	Software Design & Engineering Services System Integration
Challenge	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. Read More
About Customer	The customer is a large Consumer Packaged Goods (CPG) company that manufactures a high percentage of their products. They operate on a large scale, handling 85,000 shipments weekly. The company had previously invested in traditional solutions, such as warehouse and transportation management systems, but these did not meet their needs for precise and accurate time of arrivals. They had spent millions of dollars working with several consulting and technology providers without achieving the desired results. The company was left relying on drivers to provide estimated time of arrivals (ETA) and employees to manually update statuses, leading to numerous operational inefficiencies. Read More
Solution	Savi Technology provided the CPG company with Savi Performance Analytics, a comprehensive SaaS, purpose-built solution. The solution was live within six weeks by leveraging current telematics and sensor data, requiring no customization. Savi’s proprietary ETA algorithms combined real-time and historical data to allow the CPG company to better predict transit times. The company rolled out the solutions to highly-traveled transit lanes, as well as to security and risk teams, to track and secure 85,000 shipments weekly. Additionally, as more data was acquired, Savi’s algorithms became smarter and more accurate due to advanced machine learning. This led to improved planning for shipments, cross-docking, and on-time arrivals. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Functional Applications - Transportation Management Systems (TMS)

Applicable Industries

Consumer Goods

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Fleet Management

Supply Chain Visibility

Services

Software Design & Engineering Services

System Integration

Challenge

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.

About Customer

The customer is a large Consumer Packaged Goods (CPG) company that manufactures a high percentage of their products. They operate on a large scale, handling 85,000 shipments weekly. The company had previously invested in traditional solutions, such as warehouse and transportation management systems, but these did not meet their needs for precise and accurate time of arrivals. They had spent millions of dollars working with several consulting and technology providers without achieving the desired results. The company was left relying on drivers to provide estimated time of arrivals (ETA) and employees to manually update statuses, leading to numerous operational inefficiencies.

Solution

Savi Technology provided the CPG company with Savi Performance Analytics, a comprehensive SaaS, purpose-built solution. The solution was live within six weeks by leveraging current telematics and sensor data, requiring no customization. Savi’s proprietary ETA algorithms combined real-time and historical data to allow the CPG company to better predict transit times. The company rolled out the solutions to highly-traveled transit lanes, as well as to security and risk teams, to track and secure 85,000 shipments weekly. Additionally, as more data was acquired, Savi’s algorithms became smarter and more accurate due to advanced machine learning. This led to improved planning for shipments, cross-docking, and on-time arrivals.

Impact #1	Beat driver and planned ETAs.
Impact #2	Saved 700 hours on highly traveled transit lanes between factory and distribution.
Impact #3	Improved cross-docking and on-time arrivals.

Impact #1

Beat driver and planned ETAs.

Impact #2

Saved 700 hours on highly traveled transit lanes between factory and distribution.

Impact #3

Improved cross-docking and on-time arrivals.

Benefit #1	Saved 700 hours on highly traveled transit lanes between factory and distribution.

Benefit #1

Saved 700 hours on highly traveled transit lanes between factory and distribution.

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Overview

Radically Improve Operations with Estimated Time of Arrival

Operational Impact

Quantitative Benefit