Transportation Asset Forecasting POC

The Transportation Asset Forecasting POC serves as a specialized procurement lead within the W6QK Acc-apg Durham unit of the Department of the Army, supporting the agency’s mission to accelerate innovation in physical, engineering, and life sciences research. Responsible for managing acquisitions tied to predictive modeling, asset lifecycle forecasting, and logistics optimization systems, this role ensures that critical R&D initiatives are equipped with advanced analytical tools and data-driven infrastructure. The POC interfaces directly with technical teams to translate complex operational requirements into solicitation documents, focusing on high-impact, mission-critical solutions that enhance Army modernization efforts in autonomy and intelligent systems. Contractor relationships are primarily with research institutions, systems integrators, and technical consulting firms capable of delivering advanced modeling, simulation, and forecasting capabilities. While no single vendor dominates the portfolio, the POC consistently engages firms with proven expertise in computational logistics, sensor fusion analytics, and digital twin development. Partnerships are typically structured as cost-reimbursement or time-and-materials contracts to accommodate the iterative nature of experimental research and prototype validation, emphasizing agility and technical adaptability over fixed-price delivery. There is no preference for socioeconomic set-asides; all acquisitions are conducted as full and open competitions, reflecting the agency’s prioritization of technical excellence and mission urgency over socioeconomic targeting. This approach ensures access to the broadest possible pool of qualified entities capable of delivering cutting-edge forecasting solutions under tight timelines. The POC’s procurement activity is exclusively aligned with NAICS 541715, focusing on research and development in physical, engineering, and life sciences. Core procurements include advanced algorithms for transportation asset degradation prediction, AI-enabled logistics optimization platforms, and sensor-based condition monitoring systems. Expertise centers on computational modeling, predictive analytics, and systems engineering for military logistics and infrastructure resilience, supporting the Army’s broader goals in autonomous mobility and next-generation force sustainment.