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Transmetrics

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About

Transmetrics provides logistics and trucking companies with AI-powered analytics and planning to improve efficiency and increase profitability. It offers solutions for Trucking, Empty Container Management, Linehaul Planning, and Fleet Maintenance. The platform connects with existing TMS, ERP, and asset management systems, automatically extracting data and using machine learning algorithms to improve data quality. Transmetrics combines historical shipment data with external factors to forecast future demand, enabling proactive responses to market dynamics and optimization of operations. The platform empowers planning and business leaders with end-to-end automation of data discovery and feature generation. Transmetrics helps companies control their spending and reduce CO2 emissions.

Platform
Web
Keywords
analyticslogisticsforecastingsupply chaintrucking
Task
logistics planning

Features

analytics

predictive analytics

data enrichment

forecasting

optimization

data cleansing

visibility on trends and inefficiencies

reporting on operational performance

FAQs

Is Transmetrics a TMS?

Transmetrics is not a TMS. However, our platform can be integrated with any TMS, ERP or Asset Management system that your company uses. The platform automatically extracts data on a daily basis to provide you with the most accurate predictive analytics of your business and empower your planners to make the most optimal decisions.

What is your commercial model?

Transmetrics is a Software-as-a-Service. That means that it does not require upfront investments from your side to start the implementation and the monthly subscription fee ensures that you receive constant support and future software updates which can generate even more significant benefits for your operations. Our monthly pricing is unique for every project and is based, for example, on the scope, the number of your logistics assets, and the size of your network.

Is Transmetrics an off-the-shelf solution or is it custom made for each client?

The Transmetrics platform is a ready-to-use solution. However, during the implementation process, we can customize and combine different modules of the platform, guaranteeing that you use and pay only for the functionality which speaks to your business.

How do you deal with demand fluctuations and ensure high forecasting accuracy? How does your technology cope with unforeseen events - such as Covid?

It is impossible to predict such events as COVID pandemic and how it can affect the world around us before it happens. In order to cope with such unforeseen events or high demand fluctuations, Transmetrics utilizes high-sensitivity machine learning algorithms that learn from the new incoming data and adjust the forecasting base over a period of time. With every new batch of data the algorithms get closer and closer to the real values and this way, we can ensure high forecasting accuracy.

How do you ensure good results if you have to work with bad data quality?

With 8 years of experience in dealing with logistics data, we have developed strong and reliable data cleansing and enrichment algorithms that ensure your data is transformed to the highest possible quality. Then, we use this data to power our forecasting algorithms: the better the quality of the data – the more accurate is the forecast.

How are we going to access your solution?

Transmetrics solution is a cloud-based platform which does not require any installation from your side. We simply create as many accounts as you need for your team and they can access the solution and all its features instantly through any web-browser.

How will you connect to our existing systems? How do you ensure the security of our data?

Transmetrics connects with your TMS, ERP or asset management system through state of the art VPN connection and extracts only relevant data from your system(s), which guarantees the high level of your data security and encryption. We never share your data with the 3rd parties.

What kind of transport data will you need from us? How much historical data do your algorithms need?

We need at least 6 months of historical data including shipment measurements, tracking information, vehicle movements, asset positioning, and etc.

Where is your solution implemented?

Our solution is already implemented and used on an everyday basis by such companies as Kuehne + Nagel, Gebruder Weiss, DPD, Milaha, and Transmar just to name a few.

What kind of external data sources are you using?

We only use the relevant external data sources that correspond to the business specifics of your operations. It can be a combination of many factors from Forex, commodities & futures prices to Port Data, and from Weather to Public Holidays and events.

What sets you apart from general purpose predictive analytics platforms? What is your experience in logistics?

Transmetrics predictive analytics platform was exclusively developed for the Logistics professionals by the Logistics professionals. The Transmetrics team combines the experience of industry insiders with a tech expertise of software developers and data scientists. Hence, we speak the same language the industry does, and understand the business intricacies of logistics operations. And our platform speaks this language as well, since it was designed specifically to empower the daily planning operations in the supply chain.

Pricing Plans

Subscription
Unknown Price

Constant support

future software updates

Job Opportunities

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Transmetrics

Senior Software Engineer

Transmetrics provides logistics and trucking companies with AI-powered analytics and planning to improve efficiency and increase profitability. It optimizes transport planning by leveraging the power of machine learning and predictive analytics.

engineeringhybridSofiafull-time

Benefits:

  • 25 days paid annual vacation

  • flexible working hours

  • opportunity to work from home when needed

  • Health Insurance

  • Subsidized Multisport card

Education Requirements:

  • Bachelor’s or Master’s Degree in Computer Science or related fields or demonstrated capability through experience

Experience Requirements:

  • Demonstrable experience in and passion for software development

  • Hands-on experience with an OOP language – Java

  • Knowledge of and basic experience with SQL

Responsibilities:

  • Co-develop a rapidly expanding (technically and functionally) product

  • Collaborate with the team on the product architecture

  • Participate in code reviews (giving and receiving)

  • Share knowledge and mentor other colleagues

  • Work with an agile methodology (Scrum) and tools (Jira)

Show more details

Senior Data Science Engineer

Transmetrics provides logistics and trucking companies with AI-powered analytics and planning to improve efficiency and increase profitability. It optimizes transport planning by leveraging the power of machine learning and predictive analytics.

Benefits:

  • 25 days paid annual vacation

  • flexible working hours

  • opportunity to work from home when needed

  • Health Insurance

  • Subsidized Multisport card

Education Requirements:

  • A degree in a relevant area (Computer Science, Statistics, Applied Mathematics, or related field)

Experience Requirements:

  • At least 5 years of experience in software engineering and data science fields

  • Strong knowledge of software engineering of scalable (vertical and horizontal) production systems related to data science applications such as statistical modeling, machine learning, and optimization techniques

  • Excellence with programming languages – Python is a plus

  • Strong knowledge of design patterns, OOP, multithreading, and databases

  • Good experience in building processes and automated deployments

Responsibilities:

  • Design, Develop, and implement a framework for the implementation of repetitive automated data science models and algorithms deployed in production

  • Collaborate with product and engineering teams to identify and prioritize opportunities to improve our solutions

  • Conduct research to stay up-to-date with the latest developments in the implementation of data science and machine learning techniques in production in both cloud and server-based environments

  • Develop proof-of-concept and prototypes to demonstrate the feasibility and value of new technologies

  • Design and implement experiments to validate models and algorithms

Show more details

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