Shipcom AI for Obsolescence Prediction

NAVSEA and Department of Defense (DoD) face challenges to manage vast and diverse equipment inventory. Obsolescence, driven by technological advancements, component shortages, and evolving geopolitical landscapes, greatly impacts operational effectives and readiness. Traditional methods of identifying obsolescence are often reactive and rely on manual analysis. They can lead to delays in product procurement and inefficient resource allocation. In the context of national defense,  obsolescence can have significant implications for various aspects of military capabilities. It not only applies to equipment and physical items, but also in outdated Commercial-off-the-shelf (COTS) software and operating systems that are now susceptible to cyberattacks. Based on our proprietary Shipcom AI Platform, Shipcom proposes to develop an AI/ML-enabled solution to predict obsolescence of DoD products within the NAVSEA supply network. Utilizing our Shipcom AI platform, NAVSEA will improve the organization’s capability to analyze diverse data sources to include technical specifications, maintenance records, market trends, and geopolitical factors. Our solution for AI-Powered Obsolescence will also identify equipment and support parts at risk from becoming obsolete. Shipcom AI will deliver NAVSEA the capability to make recommendations for informed decisions  sustainment, modernization, and lifecycle management, optimizing resource allocation and ensuring mission readiness. Shipcom has already begun conceptual development of an AI Obsolescence Application for the Department of Defense utilizing Internal Research and Development (IRAD) funding. Below we describe our proposed AI Obsolescence Application at its current beta-stage development. During Phase I, Shipcom will work with NAVSEA stakeholders to determine specific needs and use cases that we will utilize to develop our NAVSEA AI Obsolescence Solution in support of a Phase II Research and Development effort.