Connect the data you need – fast
Transmetrics connects with your TMS, ERP, and asset management system. An automated process of data extraction is set up and machine learning algorithms are deployed to improve (and enrich) data quality. It resolves data quality issues such as missing events, values, and dimensions, as well as duplications and outliers. As a result, you get detailed historical reporting on operational performance and enhanced visibility on trends and inefficiencies.
Don’t just access data, understand its impact
Accessing data is one thing, understanding its value for your business is another. Utilizing our artificial intelligence algorithms Transmetrics combines historical shipment data with relevant external factors to forecast future demand visibility. Built with predictive analytics at its core, the Transmetrics platform allows you to proactively react to the dynamic market conditions and optimize your operations accordingly in order to handle the upcoming demand.
Go beyond insights and create competitive advantage
Stop worrying about missing out on major business gains. Save time and resources by easily integrating decision-making models across different lines of business. Solve challenges around capacity, volatility, margins by leveraging predictive planning and become truly data-driven. Transmetrics ensures that you use the data that has the biggest impact on your goals — whether that’s driving more accurate insights or making smarter business decisions.
Facts and figures
Savings on network operation costs
Reduction in total transportation costs
Reduction in employed asset fleet
Explore what we can do for your business
Our unrivaled technology uses a unique approach for the analyzing, modeling, and predicting of transport flows with a very high accuracy. This advantage comes from combining the technical knowledge of Big Data and Predictive Analytics with hands-on expertise in transport and logistics.
Transmetrics in the Press
The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 945610.