Leveraging Predictive Analytics and KPI Dashboards for Strategic Decision-Making in Retail and Food Service Industries

Abstract

The volume and accessibility of organisational data has changed the way business decisions are made all across the retail and food service sector, thus providing unprecedented opportunities for businesses to improve their operations, customer satisfaction and competitiveness. Yet, many organizations are still unable to transform vast amounts of data into basic actions for strategy. This challenge has led to the development of predictive analytics and Key Performance Indicator (KPI) dashboards as complementary decision support tools that are able to help with data driven forecasting, real-time performance monitoring and evidence-based managerial decision making. In this study, the authors focus on retail and food service sectors to analyze how predictive analytics and KPI dashboards can enhance organizational decision-making. The study is conducted through a systematic secondary research methodology, which collates and analyses the latest empirical data from peer-reviewed academic research, industry reports and trusted databases to assess existing applications, implementation issues and organizational outcomes of these technologies. The results suggest that companies that effectively combine predictive analytics with interactive KPI dashboards experience greater forecasting accuracy, better inventory and demand management, better customer experience, better resource management, and quicker strategic agility to market dynamics. But these technologies will only be effective if data quality is good, organizational readiness is strong, technological infrastructure is robust, leadership is committed to change, and employees have analytical skills. The study also uncovers a research gap regarding the lack of integrated frameworks which simultaneously look at predictive analytics and dashboard-based decision-making in both retail and food service businesses. This study adds to the literature on business intelligence by presenting a holistic conceptual approach that integrates predictive analytics, performance measurement, and strategic decision-making, providing valuable insights for managers aiming to enhance organizational resilience and competitive advantage in a data-driven business landscape.