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

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.

Predictive Analytics, KPI Dashboards, Business Intelligence, Strategic Decision-Making, Retail and Food Service

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Asif Syed, Iqbal Ansari, Kiran Bhujel, Yogesh Sharad Ahirrao, Suresh Shivram Panchal, & Yaseen Shareef Mohammed. (2025). Blockchain Integration In Business Finance: Enhancing Transparency, Efficiency, And Trust In Financial Ecosystems. The American Journal of Engineering and Technology, 7(09), 74–99. https://doi.org/10.37547/tajet/Volume07Issue09-06.

Kiran Bhujel, Iqbal Ansari, Kazi Sanwarul Azim, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Digital Transformation In Corporate Finance: The Strategic Role Of IT In Driving Business Value. The American Journal of Engineering and Technology, 7(09), 100–125. https://doi.org/10.37547/tajet/Volume07Issue09-07.

Yogesh Sharad Ahirrao, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Suresh Shivram Panchal. (2025). AI-Powered Financial Strategy: Transforming Business Decision-Making Through Predictive Analytics. The American Journal of Engineering and Technology, 7(09), 126–151. https://doi.org/10.37547/tajet/Volume07Issue09-08.

Keya Karabi Roy, Maham Saeed, Mahzabin Binte Rahman, Kami Yangzen Lama, & Mustafa Abdullah Azzawi. (2025). Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective. The American Journal of Applied Sciences, 7(8), 74–93. https://doi.org/10.37547/tajas/Volume07Issue08-07

Maham Saeed. (2025). Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance. The American Journal of Applied Sciences, 7(8), 50–73. https://doi.org/10.37547/tajas/Volume07Issue08-06

Kazi Sanwarul Azim, Maham Saeed, Keya Karabi Roy, & Kami Yangzen Lama. (2025). Digital transformation in hospitals: evaluating the ROI of IT investments in health systems. The American Journal of Applied Sciences, 7(8), 94–116. https://doi.org/10.37547/tajas/Volume07Issue08-08

Kami Yangzen Lama, Maham Saeed, Keya Karabi Roy, & MD Abutaher Dewan. (2025). Cybersecurityac Strategies in Healthcare It Infrastructure: Balancing Innovation and Risk Management. The American Journal of Engineering and Technology, a7(8), 202–225. https://doi.org/10.37547/tajet/Volume07Issue08-17

Maham Saeed, Keya Karabi Roy, Kami Yangzen Lama, Mustafa Abdullah Azzawi, & Yeasin Arafat. (2025). IOTa and Wearable Technology in Patient Monitoring: Business Analyticacs Applications for Real-Time Health Management. The American Journal of Engineering and Technology, 7(8), 226–246. https://doi.org/10.37547/tajet/Volume07Issue08-18

Bhujel, K., Bulbul, S., Rafique, T., Majeed, A. A., & Maryam, D. S. (2024). Economic Inequality And Wealth Distribution. Educational Administration: Theory and Practice, 30(11), 2109–2118. https://doi.org/10.53555/kuey.v30i11.10294

Groenewald, D. E. S., Bhujel, K., Bilal, M. S., Rafique, T., Mahmood, D. S., Ijaz, A., Kantharia, D. F. A., & Groenewald, D. C. A. (2024). Enhancing Organizational performance through competency-based human resource management: A novel approach to performance evaluation. Educational Administration: Theory and Practice, 30(8), 284–290. https://doi.org/10.53555/kuey.v30i8.7250

Azam, M. A., Ansari, I., Haque, G. M. M., & Jahid, A. (2026). Leveraging Health Information Systems and Predictive Analytics to Improve Patient Outcomes: A Data-Driven Approach. The American Journal of Medical Sciences and Pharmaceutical Research, 8(03), 45–70. https://doi.org/10.37547/tajmspr/Volume08Issue03-06

Jahid, A., Haque, G. M. M., Ansari, I., & Azam, M. A. (2026). Sustainable IT Infrastructure and Green Data Analytics: Measuring Environmental Performance in Digital Enterprises. The American Journal of Engineering and Technology, 8(03), 80–106. https://doi.org/10.37547/tajet/Volume08Issue03-06

Haque, G. M. M., Ansari, I., Bhujel, K., Jahid, A., & Azam, M. A. (2026). Digital Transformation Strategies and IT Governance: Aligning Business Value with Technology Investments. The American Journal of Management and Economics Innovations, 8(3), 24–48. https://doi.org/10.37547/tajmei/Volume08Issue03-02

Ansari, I., Bhujel, K., & Khawaja, U. (2026). AI-Driven Predictive Analytics and DecisionOutcomes in Modern Enterprises: Impacts on Decision Quality, Speed, and Operational Performance. The American Journal of Engineering and Technology, 8(01), 145–167. https://doi.org/10.37547/tajet/Volume08Issue01-16,

Rashid, H. U., Chowdhury, M. A.-A., Das, S. R., & Afroz, S. (2026). Quantifying Cloud Cyber Risk Exposure: A Business Analytics Model for Multi-Cloud Security Posture Optimization. The American Journal of Interdisciplinary Innovations and Research, 8(06), 26–53. https://doi.org/10.37547/tajiir/Volume08Issue06-01

Chowdhury, M. A.-A., Rashid, H. U., Afroz, S., & Das, S. R. (2026). AI-Augmented Security Operations Centers: Predictive Threat Prioritization Using Business Impact Modeling and Machine Learning. The American Journal of Engineering and Technology, 8(06), 79–104. https://doi.org/10.37547/tajet/Volume08Issue06-04

Das, S. R., Afroz, S., Rashid, H. U., & Chowdhury, M. A.-A. (2026). Deep Learning-Driven Financial Fraud Detection: An Enterprise Risk Analytics Framework for Real-Time Anomaly Detection and Regulatory Compliance. The American Journal of Engineering and Technology, 8(06), 38–63. https://doi.org/10.37547/tajet/Volume08Issue06-02

Jahid, A., Afroz, S., Rashid, H. U., Chowdhury, M. A.-A., & Das, S. R. (2026). Modeling the Economic Impact of Ransomware Attacks: A Predictive Analytics Framework for Business Continuity Optimization and Cyber Resilience Investment Planning. The American Journal of Applied Sciences, 8(06), 38–66. https://doi.org/10.37547/tajas/Volume08Issue06-01