Statistical matching involves integrating different data sources with different units and a set of common variables. Applying statistical matching methods presents challenges for practitioners, including data pre-processing and the application of different statistical matching methods. To address this, we develop an R-Shiny application to simplify the integration of different datasets for users and enhance efficiency in statistical matching tasks. In this paper, we delineate the various features of the application, encompassing tabs for importing new data or selecting from available surveys, choosing the matching variable, conducting data wrangling, employing diverse statistical matching methods, and using the matched dataset for regression analysis.