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Introduction: Service quality is one of the most important factors to achieve customer satisfaction. Improving service quality in logistics operations has been considered by a number of studies as a strategic initiatives since the competition arises due to industry growth. Eklof et al. (2018) showed that customer satisfaction and loyalty significantly influence the company-s profitability, including Return on Assets (ROA), Return on Equity (ROE), Profit Margin, and Operating Income. Furthermore, the study concluded that increasing customer satisfaction leads to more profitability. Parasuraman et al. (1988) developed SERVQUAL model to evaluate service quality, which has been used in various industries including logistics. Several studies also integrated the model with other tool,such as Importance-Performance Analysis (IPA) and Quality Function Deployment (QFD). Integration of SERVQUAL, IPA, and QFD was used in improving service quality in telecommunication (Darmawan dan Wurjaningrum, 2014), restaurant (Cheng, Tsai, dan Lin, 2015), perbankan (Kurniawati dan Singgih, 2015), dan manufaktur (Murali et al., 2016). This integration will not only produce robust service quality evaluation, but also develop strategy to generate competitive advantage, especially in logistics industry. This study aimed at analyzing the trucking service quality gap, determining the most critical service quality attributes, and developing strategies for service quality improvement through integration of Gap Analysis, Importance-Performance Analysis (IPA), and Quality Function Deployment (QFD). Methods: This study used combination of quantitative and qualitative research design. Data was collected using purposive sampling in a trucking company headquartered in Semarang, Central Java. The sample was exported from company-s customer database from 2016 to 2018. A questionnaire was administered using online survey and generated 9,6% of response rate (48 of 500). Data was further analyzed with descriptive statistics using Excel and SPSS. Results: Gap Analysis followed by paired-sample t test showed that all 18 attributes of logistics service quality have negative gaps, indicated that in general, the company-s service quality was still under good performance. Among five quality dimensions, “Customer Focus” has the biggest average value of negative gap (-0,667), followed by “Information Quality” (-0,556), “Order Fulfillment” (0,542), “Corporate Image” (-0,533), and “Timeliness” (-0,478). All attributes were then mapped on the IPA matrix, resulted in well-distributed points in four quadrants, namely quadrant I (keep up the good works), quadrant II (possible overkill), quadrant III (low priority), and quadrant IV (concentrate here). The attributes located in quadrant I and IV will be furthered utilized in developing strategies using Quality Function Deployment approach. Conclusions: Strategy development using QFD resulted in five strategies