AI Use Cases

synvert Accel­er­at­ors


Logist­ics & Transport


Cloud Data & AI for Effi­ciency, Trans­par­ency & Innovation


Industry over­view

Logist­ics & Transport


Cloud Data & AI for Effi­ciency, Trans­par­ency & Innovation


Optim­ized sup­ply chains & mobil­ity


Logistic and transport habour in Barcelona


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.


Our cus­tom­ers in logistics



Use Cases



Pre­dict­ive Maintenance


Pre­dic­tion of fail­ures on rail­road switches based on his­tor­ical and cur­rent data to optim­ise main­ten­ance and replacement.



Traffic Reports


Auto­mated traffic report pro­cessing using Large Lan­guage Model (LLM) based systems.



Server­less PaaS


Lever­aging a server­less PaaS ser­vice in Azure to imple­ment BI, Big Data and Machine Learn­ing pipelines for a pop­u­lar European budget airline.



Data Enrich­ment


Help­ing a lead­ing avi­ation group har­ness the value of their data through wrangling and enrich­ment of data­sets using Hive, Dataiku & Impala.



Pre­dic­tion Model


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.



DWH Mod­ern­isa­tion


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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