Algorithmic Data Organization and Integration for Training, Scheduling, and Personnel Management

The proposed STTR will have broad impacts in the emergency services and armed forces by leveraging advanced personnel management technology. These organizations rely on outdated systems to track training and deploy individuals, often resulting in serious logistical errors and wasted time. EZTrain LLC has researched Air Force Reserve training and discovered a need for process improvement and greater operational efficiency. Supervisors struggle to synthesize training information due to a complex system of data management that requires extensive crossover between different databases. Annually, it is estimated that logistical errors and poor planning amount to $1.4 billion in wasted time for the Air Force Reserves alone. The proposed technology utilizes innovative software to eliminate wasted time and significantly improve the allocation of scarce resources. EZTrain algorithmically identifies and collates relevant training information from large databases with little input required from the user. By mapping every datapoint to a unique account, the application creates profiles that allow for more personalized and organized training plans. The software also introduces data analytics to training regimens through predictive insights that allow for better task planning and scheduling. The STTR Phase I will investigate the proposed solution’s impact on improving operational efficiency within the Air Force and commercial sectors.