Case Study: University of North Texas at Dallas achieves optimized farm-to-fork freight flow and reduced transportation costs with anyLogistix

Agribusiness optimization save millions with logistics data analysis

The University of North Texas at Dallas faced a complex agricultural supply‑chain challenge: fragmented flows from farms through silos and mills to demand centers, high uncertainty in yields and weather, and a need to evaluate new facility locations and storage strategies. To address this, the university worked with anyLogistix, using its supply‑chain modeling, GIS integration, optimization and simulation capabilities to analyze crop raster layers, run greenfield silo siting studies, and build a scenario‑based transport and network model.

anyLogistix implemented a combined optimization and simulation solution that integrated GIS production data, mathematical routing models and KPI dashboards to test scenarios and identify cost‑effective flows. The work delivered measurable impact — including transportation cost savings on the order of 6% in tested iterations — clearer visibility on inventory and service‑level tradeoffs, and data‑driven recommendations for silo placement and consolidation that improved operational decision‑making.

University of North Texas at Dallas