Transmetrics
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About
Transmetrics is an AI-powered platform for logistics and trucking companies. It uses predictive analytics and machine learning to improve efficiency and profitability. The platform integrates with existing TMS, ERP, and asset management systems, providing analytics, forecasting, and optimization capabilities to address challenges in trucking, empty container management, linehaul planning, and fleet maintenance. Transmetrics is trusted by major logistics companies globally and offers a Software-as-a-Service model.
Platform
Features
• predictive analytics
• forecasting
• optimization
• fleet maintenance
• linehaul planning
• empty container management
• trucking
• logistics analytics
FAQs
What is your commercial model?
Transmetrics is a Software-as-a-Service (SaaS) platform. Monthly subscription fees vary based on project scope, assets, and network size.
How will you connect to our existing systems? How do you ensure the security of our data?
Transmetrics connects to your TMS, ERP, or asset management system via a secure VPN connection, extracting only necessary data.
Is Transmetrics an off-the-shelf solution or is it custom made for each client?
The Transmetrics platform is ready-to-use, but we customize and combine modules during implementation. You only pay for the functionality you use.
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 info, vehicle movements, and asset positioning.
How do you deal with demand fluctuations and ensure high forecasting accuracy? How does your technology cope with unforeseen events - such as Covid?
High-sensitivity machine learning algorithms adapt to new data and adjust forecasts over time, improving accuracy with each data batch.
How do you ensure good results if you have to work with bad data quality?
Our data cleansing and enrichment algorithms transform your data to the highest possible quality, improving forecast accuracy.
How are we going to access your solution?
Transmetrics is a cloud-based platform accessed via any web browser. We create accounts for your team.
What kind of external data sources are you using?
We use relevant external data sources based on your operations, including Forex, commodities, port data, weather, and holidays.
What sets you apart from general purpose predictive analytics platforms? What is your experience in logistics?
Transmetrics is exclusively developed for logistics professionals by logistics professionals. It's built to empower daily supply chain planning.
Is Transmetrics a TMS?
Transmetrics is not a TMS, but it integrates with any TMS, ERP, or asset management system to provide predictive analytics.
Job Opportunities
Senior Software Engineer
AI-powered logistics platform for analytics, forecasting, and optimization in trucking, container management, and fleet maintenance.
Benefits:
Competitive salary
25 days paid annual vacation
Flexible working hours
Opportunity to work from home
Convenient office location in Sofia
Education Requirements:
Bachelor's or Master's Degree in Computer Science or related fields
Experience Requirements:
Demonstrable experience in and passion for software development
Hands-on experience with Java
Ability to understand and write JavaScript, HTML, and CSS code
Knowledge of SQL
Knowledge of Python (a plus)
Other Requirements:
Strong capacity and willingness to learn
Good command of written and spoken English
Responsibilities:
Co-develop a product
Collaborate on product architecture
Participate in code reviews
Share knowledge and mentor colleagues
Work with Scrum and Jira
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Senior Data Science Engineer
AI-powered logistics platform for analytics, forecasting, and optimization in trucking, container management, and fleet maintenance.
Benefits:
Competitive salary
25 days paid annual vacation
Flexible working hours
Opportunity to work from home
Convenient office location in Sofia
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 production systems
Excellence with Python
Strong knowledge of design patterns, OOP, multithreading, and databases
Good experience in building processes and automated deployments
Other Requirements:
Excellent problem-solving and analytical skills
Strong mentorship skills
Excellent verbal and written communication skills
Experience in big data (a plus)
Familiarity with transportation and logistics (a plus)
Responsibilities:
Design, develop, and implement a framework for data science models
Collaborate with product and engineering teams
Conduct research on data science and machine learning
Develop proof-of-concept and prototypes
Design and implement experiments to validate models
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