The discrepancies in the parameters, which best predict the electrical conductivity of polymer-composite materials (PcM) are, great challenges confronting the practical applications of some of these materials. Modeling approach, by using some set of mathematical equations, which incorporate various composite materials parameters, is a good step to predict the electrical conductivity of polymers and their composites. The synergetic loading effect of additives on polymers cannot be effectively predicted via experimentation, because, the properties of materials change when they are subjected to temperature differential, and some other mechanical factors. Consequently, this study further look on the logistic model (MLM) for the prediction of electrical conductivity of PcM. The logistic model is an exponential function which models the growth and decay of fillers loaded on the polymers. The model is tested on the borophene loaded polypyrrole for application in electrochemical energy storage. Moreso, the model is multi-parametrized to predict electrical conductivity of different polymer-composites.