An unsupervised algorithm is applied on a cleaned dataset to obtain analytical visualizations that depict the trends of the medicine purchase behavior of the Hospital, from which business decisions can be made to minimize medicine wastage, to plan better utilization of resources for medicines. First, three drugs are obtained dated for six months of data. There are three distinct drugs in Antibiotics. The datasets are then cleaned to remove optional parameters that will skew the algorithm. After the cleaning is completed, the medicines under one category are merged into one dataset. Then the K-Means Algorithm