Can automation improve organizational performance? This study uses the autoregressive integrated moving average (ARIMA) methodology to assess the effects of an automation-based process re-engineering on the purchasing process in a large regional hospital. This process seeks to give management an accurate was to gauge improvements following changes. Using autoregressive statistical techniques, the automated purchasing process was found to significantly affect productivity and performance at both departmental and organizational levels. System implementation significantly reduced purchasing lead times, time to receive goods, and the time purchase orders stayed open. At the organizational level, values of issues per occupied bed increased, as did inventory turnover. The intervention analysis performed provided a means for management to assess the productivity improvements resulting from the re-engineering project. These changes show additional insight concerning implementation research and measuring organizational and departmental effects of automation projects.