Cloud data & AI are revolutionizing the logistics and transportation industry by optimizing processes, planning routes more efficiently and automating operations. Companies benefit from real-time tracking, accurate demand forecasting and optimized capacity planning.
Artificial intelligence analyzes traffic data to predict delays and adjust routes in real time. Machine learning improves maintenance planning by identifying potential faults at an early stage and minimizing downtime. For rail companies, data-driven network analyses enable optimal utilization and improved cycle times, while sensor technology and predictive maintenance increase operational reliability. Process mining and AI-supported automation increase efficiency in warehousing and freight logistics.
With over 30 years of experience and more than 3.000 successfully implemented projects, synvert is the ideal partner for logistics and transportation companies that want to drive their digital transformation with cloud cata & AI.
Prediction of failures on railroad switches based on historical and current data to optimise maintenance and replacement.
Automated traffic report processing using Large Language Model (LLM) based systems.
Leveraging a serverless PaaS service in Azure to implement BI, Big Data and Machine Learning pipelines for a popular European budget airline.
Helping a leading aviation group harness the value of their data through wrangling and enrichment of datasets using Hive, Dataiku & Impala.
Implementation of a “Invoice to cash” prediction model to predict the delay in payment of pending invoices for a world-class maritime logistics and port operations organisation.
Modernisation of the existing data warehouse for a worldwide maritime logistics company to empower execution of a global corporate BI strategy.
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