Learn how our customers are using Transmetrics to increase operational efficiency and reduce costs with AI and predictive analytics
Case Studies
Case Study: AI Predictive Optimization for Empty Container Management
Leading ocean shipping company NileDutch reduces costs for managing empty containers and its container fleet with AssetMetrics Predictive Container Management Tool
Case Study: AI Predictive Optimization for Logistics Asset Management
TIP Trailer Services Anticipates an 11% Revenue Increase with AssetMetrics Predictive Asset Optimization Tool
Case Study: AI Predictive Linehaul Optimization for Express/Parcel Business
Speedy (part of DPDgroup) achieves 7-9% total cost savings and a 14% increase in fleet utilization with NetMetrics Predictive Linehaul Optimization Tool
Hear Directly From Our Customers
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"Transmetrics talks the talk and walks the walk. When TIP Trailer Services consulted vendors to assess how predictive analytics could help optimize our fleet management and trailer pooling solutions, Transmetrics stood out as one of the very few that could actually deliver. Once engaged, we particularly appreciated their can-do attitude: they just kept powering through imperfect data, flawed processes and evolving requirements. Transmetrics is now a valued partner in our mission to increase fleet utilization and lower TCO for logistics and retail companies."
Yvan Giroud
Product ManagerTIP Trailer Services (HNA Group)
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"The big advantage of Transmetrics over many data analytics companies is that they know a lot about logistics and continue to learn since they exclusively focus their knowledge on this one industry. This helps to build models that create tangible benefits. Transmetrics finds solutions to make data work in a generally bad-data environment instead of complaining about the lack of data or data quality. They have assembled a lot of creative thinkers who pragmatically clean data and make it usable – and on the way create unexpected benefits for our dispatchers and managers alike."
Nils Wemhoener
Former Senior Vice President Operations OverlandKuehne + Nagel AG
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"With the Transmetrics’ application, the benefits are very visible. Before using Transmetrics’ solution, the rate of fleet utilization was 72%. Currently, we have above 82% [utilization] and we are expecting this to increase. We estimate the total cost reduction at 7-9%, which is a great result for us."
Danail Danailov
Board MemberSpeedy (DPDgroup)
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“We had been looking for a partner who could help us streamline our empty container flows for a long time. There are different IT solutions on the market, but we chose Transmetrics over other providers because they proved their technical expertise and also demonstrated a deep knowledge of the logistics industry and container shipping in particular, which is very difficult to find.”
Carlo Zaalberg
Global Director LogisticsNileDutch
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"In order to get a high load factor we need to forecast. Transmetrics is something we believe in, Big Data is something we believe in and it can add value to our business."
G.J.
Global System & Data ManagerTop 5 Global Logistics Company -
"We are impressed by the improvements delivered by the Transmetrics platform, which were both immediate and quantifiable. Using Transmetrics’ reporting system, we can measure the efficiency of our fleet and set correct KPIs for our warehouse team. The implementation was easy and support from the Transmetrics team is always excellent."
Alex Petkov
Director of Operations and Board MemberSpeedy (DPDgroup)
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"By implementing Transmetrics’ product we hope to get a very detailed prediction of the demand for our transport fleet, which will allow us to reposition our assets to where they are most needed, cut the number of kilometers driven, and maximize the use of drivers’ time. We also hope to be able to know in advance how much extra capacity we need to book through the use of third-party fleets in times of need, in order to meet the peak demand."
Juma Al Maskari
Sales and Business Development ExecutiveJan De Rijk
Achieved benefits for our clients
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25%
Hub-to-hub cost reduction
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9%
Total cost savings
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34%
Loading factor increase
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