LargeScaleLogistikflächen
LargeScaleLogi is a distributed data processing framework designed to support large‑scale logistics, supply‑chain management, and transportation analytics. It combines a graph‑theoretic approach to route planning with a real‑time event‑driven architecture, enabling companies to optimize fleet allocation, inventory placement, and delivery sequencing across global networks. The project originated at the University of Minnesota’s Institute for Big Data Research, with the core architecture released as open source in 2019. Since then, several logistics firms have integrated LargeScaleLogi into their operations, reporting reductions in fuel consumption of 12–18% and improvements in on‑time delivery rates of 3–5 percentage points.
Key features of LargeScaleLogi include a modular micro‑service stack, a declarative query language that abstracts graph
Industry analysts view LargeScaleLogi as one of the most flexible open‑source solutions for logistics optimization, especially