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Decentralizing FP&A for Small Businesses in Lagos Nigeria

Domaine:

socioeconomicnatural language processing

Type de record:

paper
Créateur:
Son
Éditeur:
Int
Hôte:
In Lagos, Nigeria, small and medium-sized enterprises (SMEs) form a vital part of the economic fabric, playing a central role in job creation, entrepreneurial innovation, and contributions to both the local economy and national output. This paper introduces and evaluates a novel self-service FP&A model powered by advanced natural language processing (NLP) technology, specifically designed to address the unique needs and constraints of Lagos SMEs. The proposed system allows business owners to interact with their financial data using everyday language, removing the barriers posed by traditional, jargon-heavy financial software. Drawing on over 12 years of FP&A expertise, the study employs a rigorous mixed-methods research approach, combining quantitative surveys, qualitative interviews, and prototype simulations to holistically assess the landscape of FP&A adoption among Lagos SMEs. Key findings from simulation exercises involving 40 diverse businesses demonstrate substantial improvements in critical performance metrics following the implementation of the conversational, AI-driven financial tool. Notably, SMEs reported increased net profit margins, enhanced cash liquidity, and greater confidence in their financial decision-making processes. These results underscore the transformative potential of decentralizing FP&A through intuitive, low-cost digital solutions. The research further explores the technical architecture of the self-service model, identifies practical and cultural barriers to widespread adoption, and discusses the broader policy implications for digital financial inclusion. By offering a scalable and context-sensitive framework, this paper provides actionable insights for stakeholders— including SME owners, policymakers, technology developers, and financial institutions—seeking to promote sustainable business growth and resilience in emerging markets. The study’s contributions extend to both academic scholarship and the practical advancement of accessible fintech innovations, highlighting the importance of democratizing financial intelligence for underserved business communities in Lagos and similar contexts worldwide.

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doi.org

Tasks

natural language generation

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