TOKENIZED MARKETPLACE AND ROLE OF AI IN ASSET VALUATION ANDFRAUD DETECTION IN SERVICE BASE FIRMS IN DELTA STATE

Abstract

The implementation of tokenized markets and the function of artificial intelligence (AI) in
improving asset value accuracy and fraud detection among service-based companies in Delta
State, Nigeria is investigated in this paper. Blockchain-enabled tokenization and artificial
intelligence technologies provide chances for enhanced openness, operational efficiency, and
financial integrity as digital transformation speeds throughout world marketplaces. Using a
standardized questionnaire sent to 103 chosen service-based companies, the study used a
quantitative approach with data examined using t-test analysis, Pearson correlation, and
descriptive statistics. Results show a modest degree of knowledge and acceptance of tokenized
markets; companies which have adopted the technology claim better asset value accuracy.
Especially via real-time monitoring and anomaly detection, AI-based systems were proven to be
quite successful in spotting and stopping fraud. Nonetheless, among early adopters, technical
integration issues—including infrastructure and regulatory limitations—were not statistically
significant in restricting uptake. The research comes to the conclusion that while tokenized
platforms and artificial intelligence are useful instruments for financial accuracy and risk
reducing, more general use calls for targeted awareness, legislative backing, and infrastructure
spending. Policy changes, public-private cooperation, capacity development, and ongoing
research to facilitate scaled adoption throughout the service industry constitute
recommendations.