We are a team of software developers and digital product designers with substantial experience in the transportation industry projects.
You can also use deep learning models for predicting the peak hours in your logistics centers. The software we build can also be used to improve your supplier selection and supplier relationships. This is a central area of success in the logistics and transportation business.
Get ready for Autonomous Vehicles. The AI in the transportation industry is yet to make the most significant impact. More and more tasks can be automated. If you have an idea for an innovative product and are looking for a software development team that knows the opportunities of ML solutions, and the limits of the cutting-edge solutions, let us know. Let's meet and discuss your project.
Workforce planning is another area of the transport industry that can be optimized by automation.
Transportation is a very competitive and globalized industry. The best solutions that can be achieved with the use of great software can help you increase the market share, profits, and scale up your business.
To succeed, you need a reliable tech partner. Order Group is a unique team of young but already experienced software designers and engineers. We create custom systems for transportation companies. We specialize in Python, which is a go-to technology in the world of Artificial Intelligence and Machine Learning. Order Group can design and build custom software solutions for you. We develop fleet management software, freight operations managers, customer relations services.
Great software can help transportation companies optimize route planning, reduce the cost of operations and maintenance, improve communication and reporting, take the customer service to the next level, streamline the shipment efficiency.
If you are considering hiring a software development company do achieve any of these goals, let us know.
We can provide you with a first estimate of the costs, timeline, and the team layout needed for your project within a week.
+48 793 332 793