Transmetrics is a predictive optimization company which helps cargo transport companies and logistics service providers to be more optimal through the use of modern technology such as artificial intelligence (AI), data mining, predictive analytics and computer optimization.
Step 1 - Data cleansing and enrichment
The issue that many transport companies have is that their data is not clean so they don't have process transparency. They don't understand their actual efficiency and because the data is generated at multiple points and entered by people, the data quality cannot be easily improved at source. What we do instead is we invest in artificial intelligence algorithms which can look at the data, identify the issues and improve the data quality to the level where the significant transparency on the businesses is gained.
Step 2 - Demand forecasting
Make this information predictive so not to focus primarily on historical performance but instead turn it into talking about future performance. In that process, we build forecasts for what the demand and supply will be for the next few weeks. This enables companies to visualize the problem areas while they are still in the future and they can be corrected by proactive action.
Step 3 – Optimization
This step is about helping the planners and dispatchers in making decisions based on the forecasted information. The software can help you with suggestions on where to increase or decrease capacity in order to be very efficient and this is done with artificial intelligence and complex stochastic optimization algorithms.
Step 4 - Execution Controlling
In the last step, transport companies can monitor how the optimized plan was implemented and whether there were any deviations from it.
Big Data and predictive analytics are complex concepts. That’s why our experienced team made the process of integrating and using Transmetrics as easy as possible for our clients.
Historical dataAt least 6 months of historical data (e.g. shipment measurements, tracking information, vehicle movements, etc.)
VPN connectionWe automatically extract data on a daily basis to provide you with the most accurate forecasts for your company.
That's it!Transmetrics is a Software-as-a-Service solution, so all hardware and software is provided by us on a monthly subscription basis.
Transmetrics tool helped companies save up to 25% of the linehaul costs, significantly increasing their profits as well as capacity and asset utilization.
Additionally, here are some results from the previous Proof of Concept projects:
For one of the pilot customers, the biggest cargo company in the world, Transmetrics made a prediction of future shipments with high-level accuracy – over 90%.
Data-driven simulations for another pilot customer (one of the Top 50 global freight companies) show that for groupage network, Transmetrics’ prediction enables a reduction of empty space within vehicles from 43% down to 18%. Such a reduction would potentially increase their profit by 300% annually.
Another pilot customer, with Transmetrics’ prediction, could achieve a 25% reduction in empty container logistics, which would equal approximately EUR 3 million in savings annually.
Our pricing follows monthly subscription model, which eliminates huge upfront investments and allows even medium and smaller sized transport companies benefit from our solution.
Transmetrics is tackling a huge market with a clear opportunity there. I think they have all the skills necessary to solve the problem and we are behind them.
Rumen Iliev > LaunchHub
Since the very first day of our cooperation with Transmetrics team, we have been working with people who know how to listen and who are putting their best efforts into understanding the requirements. They have supported us with their own vision and ideas, and, in my opinion, this cooperation has produced excellent results.
Iliyan Petkov > DPD Bulgaria
Transmetrics has developed and is continuing to develop, a much needed big data solution for transport companies that promises to address one of the biggest issues that these companies have, that of optimizing the use of assets. The continued work of this startup will further assist companies in the optimization of multi-modal shipments as well as in the synchronization of modal shipments for optimal scheduling.
Prof. Rod J. Franklin > Kuehne Logistics University