Data Science and AI in Logistics
By using data science, machine learning and AI, companies in the logistics and transport industry can optimize their planning, processes and services along the entire supply chain.
Data science and AI consulting for companies in the logistics industry
The potential of data and AI for logistics companies
In the past, the logistics industry was not one of the digital innovators. But the ever-increasing amounts of data along the supply chains are creating valuable use cases for data science and AI in many places in this industry. The resulting added value opens up great potential for optimization for companies in the logistics sector.
Through IoT, telematics and big data technology, data can be generated and analyzed along the entire supply chain of these companies. This allows the reliable forecasting of arrival times and future transport requirements, the automation of manual processes and the data-driven optimization of the supply chain. In addition, quality deficits in supplier batches can be identified, telematics data can be monitored in real-time and the availability of fleet vehicles can be optimized using predictive maintenance.
We are your competent partner for all questions relating to data science, machine learning and artificial intelligence in the logistics and transport industry. With more than 500 completed projects, we have built up extensive know-how that we are happy to pass on to you. Let us share our experience with you and schedule a consultation with us today.
Possible use cases of AI in transport and logistics
Forecast the future transport needs of your customers reliably and at an early stage.
Predict and track the expected arrival time of transportation vehicles with data science and AI.
Recognize maintenance requirements and defects in your fleet vehicles at an early stage by using data science and AI.
Determine automatically and in real time the quality of transport goods from goods receipt to delivery.
Use artificial intelligence to automate and improve manual processes in warehouse management.
Optimize your transport routes and capacities based on data and forecasts.
Forecast the utilization of future transport capacities in order to be able to initiate measures at an early stage.
Gain visibility into your fleet by collecting and analyzing real-time telematics data.
Successful projects in the logistics industry
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Your expert for data science and AI in logistics
Would you like to have a exchange with us on topics related to data science, machine learning and AI in transport and logistics? Or do you already have a specific project in mind? Contact us.