Mr. Sreenivasula Reddy Gosangi

AI POWERED PREDICTIVE ANALYTICS FOR GOVERNMENT FINANCIAL MANAGEMENT: IMPROVING CASH FLOW AND PAYMENT TIMELINESS

Abstract:

Governments face ongoing challenges in managing cash flow and ensuring timely payments. This study proposes an AI-powered predictive analytics framework that leverages historical financial data and machine learning to enhance cash flow forecasting, anticipate bottlenecks, and reduce fiscal risks. A national treasury case study shows improvements of 20% in payment timeliness and a 15% reduction in cash shortages. The approach integrates time-series forecasting and irregularity detection, offering governments a proactive tool to strengthen transparency, trust, and financial governance, while addressing challenges such as data integration, model explainability, and policy alignment.

Profile:

Experienced IT professional with over 16 years of expertise in Oracle Applications and Database Administration across diverse platforms (Solaris, Linux, AIX, HP-UX, Windows). Specialized in Oracle E-Business Suite (R12.x, 11i), Fusion Middleware, and database upgrades/migrations (11g to 12c/19c). Proven track record in large-scale implementations, production support, performance tuning, and automation. Strong background in cloud infrastructure (AWS, OCI, Azure) and enterprise security, including SSL/TLS and SSO integrations. Adept at managing complex environments for clients in banking, insurance, real estate, and government sectors.