Systematic sampling is a statistical method involving the selection of elements from an ordered sampling frame. Singh and Solanki (2012) and Singh et al. (2012) introduced some estimators for estimating the population mean using supplementary information in systematic sampling. In this article we propose some new and improved classes of estimators by adapting Koyuncu (2012) and Swain (2014) estimators for population mean under systematic sampling scheme alongside the non-response issue. The properties of the proposed classes such as biases and mean square errors are derived theoretically. A numerical study is performed to see the superiority of our proposed estimators.