Harnessing Intelligent Systems and Secure Digital Infrastructure for Optimizing Housing Finance, Risk Mitigation, and Enterprise Supply Networks

Pallav Kumar Kaulwar; Avinash Pamisetty; Someshwar Mashetty; Balaji Adusupalli; Lahari Pandiri

Authors

Pallav Kumar Kaulwar Director IT, KPMG, Dallas. Author
Avinash Pamisetty Mulesoft Developer, Alliant Credit Union, USA. Author
Someshwar Mashetty Lead Business Intelligence, AIMIC Inc, Chantilly, Virginia. Author
Balaji Adusupalli Insurity Lead - Small commercial Insurance, ACE American Insurance - CHUBB, New Jersey. Author
Lahari Pandiri IT Systems Test Engineer Lead, Progressive Insurance, Cleveland, Ohio. Author

Keywords:

Supply Chain Finance, Logistics Supervision, Information Encryption, Intelligent Control, IoT, Intelligent Systems, Secure Digital Infrastructure, Housing Finance Optimization, Risk Mitigation Strategies, Supply Chain Management, Digital Transformation, Financial Technology (FinTech), Smart Housing Solutions, Blockchain for Housing Finance, Predictive Analytics, AI in Risk Management, Enterprise Resource Planning (ERP), Cybersecurity in Housing Finance, Supply Chain Risk Assessment, Data-Driven Decision Making

Abstract

Welcome! With the increasing use of technology and the many benefits it brings, it’s no wonder every sector is utilising digital infrastructure in some way to maximise these advantages. The housing estate sector is no different, yet without clear guidelines on how to securely record the sensitive personal data required, there are many potential risks. This explores how the blacklisting of unwanted parties could be avoided through Industry 4.0 technologies.

Using Case-Based Reasoning and Numerical Filtering, The Development of Bank Enterprises in Community-Based Supply Chain Risks Due to Financial Bubbles in the Digital Economy. Assessment models are proposed which evaluate bank and enterprise risk in conjunction. In a series of supply transactions, enterprises and banks co-operate, where banks are guarantors, lenders or providing funds. Evaluating risk in one enterprise’s activities is not a straightforward task as, in general, there are information asymmetries between the bank and enterprises due to different locations in the supply network. Developed here are two flexible models that are based only on the financial statements of the bank and enterprise, and will allow for a quick and informative decision to be taken before entering into a financial supply agreement.

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