Fill Rate Optimization: Real-Time Tableau Dashboards For Inventory And Ad Slot Management

Saurabh Mitta; Er Vikhyat Gupta

doi:10.36676/urr.v12.i1.1464

Authors

Saurabh Mitta North Carolina State University Raleigh, NC 27695, United States
Er Vikhyat Gupta Chandigarh University Punjab, India

DOI:

https://doi.org/10.36676/urr.v12.i1.1464

Keywords:

Fill Rate Optimization, Real-time Dashboards, Tableau, Inventory Management, Ad Slot Management, Data Analytics, Digital Advertising, Revenue Optimization.

Abstract

Fill Rate Optimization has become a critical factor in maximizing revenue and operational efficiency in digital advertising and inventory management. This research explores the integration of real-time Tableau dashboards to streamline the management of inventory and ad slots. By leveraging dynamic data visualization, organizations can gain instantaneous insights into fill rate performance, identify inefficiencies, and implement corrective measures swiftly. The study demonstrates how real-time dashboards enable stakeholders to monitor key performance indicators, optimize ad placements, and ensure optimal inventory utilization. Through the aggregation of data from multiple sources, the dashboards facilitate a comprehensive view of ad delivery performance and inventory status. Moreover, the interactive nature of Tableau allows for customized reporting and drill-down analysis, providing a granular understanding of market trends and user engagement. The proposed solution not only improves the accuracy of ad slot allocation but also minimizes waste by aligning supply with demand in near real-time. The resulting improvements in fill rate performance contribute directly to enhanced profitability and customer satisfaction. In addition, the visualization of complex datasets in an intuitive format supports strategic decision-making, enabling managers to forecast trends and allocate resources more effectively.

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