Modern supply chain networks involve spatially distributed flows that become difficult to interpret using traditional visualization techniques, producing visual clutter that obscures actionable patterns. We present a multi-scale visual analytics dashboard that combines Semantic Zooming with Skeleton-Based Edge Bundling (SBEB). The system dynamically adapts its representation based on zoom level: bundled aggregate flows at the macro-scale, hexagonal density heatmaps at the meso-scale, and hierarchical inventory sunbursts at the micro-scale. Built on Vue3 and Deck.gl, it reduces raw orders to 202 warehouse-to-state flows. We contribute (1)a semantic zoom implementation with animated transitions that unifies edge bundling, hexagonal density aggregation, and hierarchical inventory views into a single interface; and (2)an algorithmic adaptation of SBEB for geographic origin-destination flows, introducing directional-sector clustering and adaptive detour constraints to preserve cartographic plausibility.
Cite
@article{arxiv.2604.08823,
title = {Semantic Zooming and Edge Bundling for Multi-Scale Supply Chain Flow Visualization},
author = {Songmao Li and Kaixuan Qu and Keer Sun and Bhargav Limbasia and Luciano Nocera},
journal= {arXiv preprint arXiv:2604.08823},
year = {2026}
}