Navigating Uncertainty: Mitigating Cash Flow and Supply Chain Instabilities Through Advanced Risk Analytics

Authors

Dr. Kodhai Nayaki N

Professor, Department of Commerce Accounting and Taxation Dr.N.G.P. Arts and Science College (India)

Akshyashri S

Student, Department of Commerce Accounting and Taxation Dr.N.G.P. Arts and Science College (India)

Deepika J

Student, Department of Commerce Accounting and Taxation Dr.N.G.P. Arts and Science College (India)

Article Information

DOI: 10.47772/IJRISS.2026.100300283

Subject Category: BUSINESS ANALYTICS

Volume/Issue: 10/3 | Page No: 3824-3833

Publication Timeline

Submitted: 2026-03-10

Accepted: 2026-03-17

Published: 2026-04-04

Abstract

In an increasingly volatile global business environment, organizations face heightened uncertainty due to economic instability, supply chain disruptions, technological change, and external shocks such as pandemics and geopolitical events. These conditions have intensified cash flow instability and supply chain risks, posing challenges to organizational continuity and resilience. The purpose of this study is to examine the role of advanced risk analytics in mitigating cash flow instability and supply chain disruptions in uncertain business environments. The study adopts a descriptive, quantitative approach using primary survey data and percentage analysis, supported by secondary literature. The findings indicate that organizations adopting analytics-driven risk management practices report higher levels of preparedness in managing financial and operational risks. The results also show that the use of predictive analytics and early warning systems is associated with greater visibility into cash flow patterns and supply chain conditions. The study concludes that advanced risk analytics supports proactive risk management and contributes to improved resilience planning by enabling organizations to anticipate and respond to disruptions more effectively.

Keywords

Risk Analytics, Resilience Planning, Financial Risk, Operational Risk, Predictive Analytics, Emerging Markets

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