Shippeo Case Studies Real-Time Shipment Tracking Implementation at Magnus Logistics

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	Real-Time Shipment Tracking Implementation at Magnus Logistics Shippeo

Real-Time Shipment Tracking Implementation at Magnus Logistics

Shippeo

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Transportation
Applicable Functions	Logistics & Transportation Sales & Marketing
Use Cases	Supply Chain Visibility Transportation Simulation
Services	Data Science Services
Challenge	Magnus Logistics, a leading logistics service provider in the Baltics, was facing a significant challenge in their operations. With customer expectations constantly evolving in the supply chain and logistics world, Magnus recognized an opportunity to further digitalize operations to improve the level of service offered. A visibility gap existed across their transport operations, for own fleet as well as sub-contracted services. This made it difficult to anticipate delays and impossible to warn customers in advance. Without this information, customer satisfaction could be jeopardized and financial penalties incurred. Furthermore, many large scale customers required shipment tracking of some kind within RFPs, creating an opportunity cost associated with lack of visibility. Read More
About Customer	Established in 2007, Magnus Logistics is a leading logistics service provider in the Baltics and currently manages a fleet of 1000+ trucks delivering over 200 loads per day and operating throughout the entire European Union. In 2015, the Lithuania-based company also expanded operations into Poland, opening a subdivision in Warsaw. The company made more than €50m in sales revenue in 2020 with a freight volume of 61,000 units. Magnus’s management systems have been awarded international accreditations in ISO9001, ISO14001 and AEO, SQAS and are trusted by some of the world’s most recognizable brands. The logistics provider has also been ranked in the top 6% of companies in Lithuania for reliability and economic stability. Read More
Solution	To address this challenge, Magnus Logistics implemented a real-time transport visibility platform, Shippeo’s platform. This platform offered Magnus a way to fill the visibility gap and lift overall capabilities to the next level. Real-time location data collected gives Magnus full visibility across their transport operations, including sub-contractors, eliminating the need to manually chase deliveries. This automated freight control process is therefore also much more cost-effective. The platform analyzes the location data collected and uses sophisticated machine learning algorithms, created by an in-house data science team, to provide predictive ETAs with market-leading accuracy and reliability. These are shared automatically with customers in Magnus-branded notifications, ensuring they remain up-to-date with the latest information on their deliveries. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Transportation

Applicable Functions

Logistics & Transportation

Sales & Marketing

Use Cases

Supply Chain Visibility

Transportation Simulation

Services

Data Science Services

Challenge

Magnus Logistics, a leading logistics service provider in the Baltics, was facing a significant challenge in their operations. With customer expectations constantly evolving in the supply chain and logistics world, Magnus recognized an opportunity to further digitalize operations to improve the level of service offered. A visibility gap existed across their transport operations, for own fleet as well as sub-contracted services. This made it difficult to anticipate delays and impossible to warn customers in advance. Without this information, customer satisfaction could be jeopardized and financial penalties incurred. Furthermore, many large scale customers required shipment tracking of some kind within RFPs, creating an opportunity cost associated with lack of visibility.

About Customer

Established in 2007, Magnus Logistics is a leading logistics service provider in the Baltics and currently manages a fleet of 1000+ trucks delivering over 200 loads per day and operating throughout the entire European Union. In 2015, the Lithuania-based company also expanded operations into Poland, opening a subdivision in Warsaw. The company made more than €50m in sales revenue in 2020 with a freight volume of 61,000 units. Magnus’s management systems have been awarded international accreditations in ISO9001, ISO14001 and AEO, SQAS and are trusted by some of the world’s most recognizable brands. The logistics provider has also been ranked in the top 6% of companies in Lithuania for reliability and economic stability.

Solution

To address this challenge, Magnus Logistics implemented a real-time transport visibility platform, Shippeo’s platform. This platform offered Magnus a way to fill the visibility gap and lift overall capabilities to the next level. Real-time location data collected gives Magnus full visibility across their transport operations, including sub-contractors, eliminating the need to manually chase deliveries. This automated freight control process is therefore also much more cost-effective. The platform analyzes the location data collected and uses sophisticated machine learning algorithms, created by an in-house data science team, to provide predictive ETAs with market-leading accuracy and reliability. These are shared automatically with customers in Magnus-branded notifications, ensuring they remain up-to-date with the latest information on their deliveries.

Impact #1	The implementation of the real-time transport visibility platform has helped Magnus become more competitive, directly impacting revenue growth potential, and make it possible for the provider to meet increasing pressure and tracking requirements within RFPs for large shippers. The new service capabilities are contributing towards increased customer satisfaction too, as customers now have a greater insight into each delivery. The objective tracking data makes it possible to optimize performance and manage any subcontractor litigations far more effectively. Overall, the company projects it will reach savings of 30% on freight control costs by end of 2021 and a further 20% by the end of 2022.

Impact #1

The implementation of the real-time transport visibility platform has helped Magnus become more competitive, directly impacting revenue growth potential, and make it possible for the provider to meet increasing pressure and tracking requirements within RFPs for large shippers. The new service capabilities are contributing towards increased customer satisfaction too, as customers now have a greater insight into each delivery. The objective tracking data makes it possible to optimize performance and manage any subcontractor litigations far more effectively. Overall, the company projects it will reach savings of 30% on freight control costs by end of 2021 and a further 20% by the end of 2022.

Benefit #1	Increased sales revenue growth
Benefit #2	Boosted customer service levels
Benefit #3	Reduced transport management costs by 30% by end of 2021 and a further 20% by the end of 2022

Benefit #1

Increased sales revenue growth

Benefit #2

Boosted customer service levels

Benefit #3

Reduced transport management costs by 30% by end of 2021 and a further 20% by the end of 2022

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Overview

Real-Time Shipment Tracking Implementation at Magnus Logistics

Operational Impact

Quantitative Benefit