Beyond the predictive model accuracy for Phase II readiness, proposed solutions should offer a scalable conceptual architecture that is compatible with existing enterprise decision-support platforms and public-sector workflows. The resulting system should function seamlessly within existing agency systems and workflows, rather than serving as a standalone, isolated analytics tool. Specifically, the Phase I "Conceptual Architecture and System Design" should define an approach for a "cloud-hosted, web and mobile accessible decision-support dashboard". In addition, the Phase I "Data Inventory and Integration Plan," should document the project’s data integration strategy, including access methods, data availability, and preprocessing steps. Conducting a "Commercial and Implementation Readiness Assessment" is an additional Phase I output. Effectively evaluating commercialization pathways, partnerships, and integration opportunities with state DOTs, MPOs, and logistics data providers will serve as key evidence that the proposed solution is aligned with real-world stakeholder workflows.