AI for Economic Inclusion: Empowering Underserved SMEs Through Intelligent Systems

References

[1] Abangah, Parsa. (2024). Economic impact of artificial intelligence on small and medium Businesses: A Case Study of Inmarkon. 10.13140/RG.2.2.34021.82402.

[2] Adelheid Holl, Ruth Rama, SME digital transformation and the COVID-19 pandemic: a case study of a hard-hit metropolitan area, Science and Public Policy, Volume 51, Issue 6, December 2024, Pages 1212 –1226, https://

[3] Aiden, Dexter & Michael, Lewis. (2024). Artificial Intelligence in Business: Enhancing Operational Efficiency and Navigating Ethical Challenges. 10.13140/RG.2.2.30525.27363.

[4] Alabi Blessing Ebunoluwa. (2025). Empowering Small Businesses Through Financial Literacy: Bridging Gaps In Underserved Communities. IOSR Journal Of Humanities and Social Science (IOSR-JHSS) Volume 30, Issue 6, Series 1. 13-21 e-, p-. 10.9790/0837-3006011321

[5] Aliyev, Vasif. (2025). Digital Transformation Strategies and Challenges in Small and Medium Enterprises (SMEs): A Systematic Review and Future Directions. 10.13140/RG.2.2.27245.29924.

[6] Alonge, Enoch & Nsisong, Louis & Eyo-Udo, Nsisong & Ubanadu, Bright & Daraojimba, Andrew & Balogun, Emmanuel & Ogunsola, Kolade. (2024). A Predictive Analytics Model for Optimizing Cash Flow Management in Multi-Location and Global Business Enterprises.. 8. 2456-8880.

[7] Ammam, R.(2024, June 04 and 05th). AI- Driven Innovation Management and Digital Marketing Strategies: Kabbage's case study. In Proceedings of the Hybrid National Conference: Artificial Intelligence and FinTech Entrepreneurship - (pp. 01-16).

[8] Amosu, Olamide & Kumar, Praveen & Ogunsuji, Yewande & Oni, Segun & Faworaja, Oladapo. (2024). AI-driven demand forecasting: Enhancing inventory management and customer satisfaction. World Journal of Advanced Research and Reviews. 23. 708 -719. 10.30574/wjarr.2024.23.2.2394.

[9] Angela Olere Omogbeme, Ada Ivy Phil- Ugochukwu, Ikechukwu Josephat Nwabufo and Jude Onyebuchi Nwabufo. (2024). The role of artificial intelligence in enhancing financial inclusion: A review of its impact on financial services for the unbanked population in the United States. World Journal of Advanced Research and Reviews, 23(02), 2184–2192 https://

[10] Angle, Mujeeb. (2024). AI in SMEs: Accelerating Digitalization for Resilient and Scalable Growth. 10.13140/RG.2.2.10435.62249.

[11] Anjorin, Kikelomo & Ijomah, Tochukwu & Toromade, Adekunle & Akinsulire, Adetola & Eyo-Udo, Nsisong. (2024). Evaluating business development services' role in enhancing SME resilience to economic shocks. Global Journal of Research in Science and Technology. 2. 029- 045. 10.58175/gjrst.2024.2.1.0047.

[12] Association of Chartered Certified Accountants. (2023). SMEs: Business challenges and strategic innovation opportunities. https://www.accaglobal.com/content/dam/ACC A_Global/professional-insights/sme-business- challenges/PI-SME-CHALLENGES- INNOVATION%20v4.pdf

[13] Azage, Joseph & Ikpeazu, Peter. (2024). AI- DRIVEN CUSTOMER RELATIONSHIP MANAGEMENT PRACTICES AND SUSTAINABLE GROWTH OF NIGERIAN SMEs.

[14] Badghish, Saeed & Soomro, Dr. Yasir. (2024). Artificial Intelligence Adoption by SMEs to Achieve Sustainable Business Performance: Application of Technology–Organization– Environment Framework. Sustainability. 16. 1864. 10.3390/su16051864.

[15] Badmus, Oluwaseun & Rajput, Shahab & Arogundade, John & Williams, Mosope. (2024). AI-driven business analytics and decision making. World Journal of Advanced Research and Reviews. 24. 616 -633. 10.30574/wjarr.2024.24.1.3093.

[17] Blessing, Moses. (2023). The Impact of AI on SME Workforce Productivity and Skill Development.

[18] Brown, William & Wilson, George & Johnson, Oliver. (2024). Understanding the Role of Chatbots in Enhancing Customer Service. 10.20944/preprints202408.0321.v1.

[19] Chen, Tzuhao & Gascó, Mila. (2024). Uncovering the Results of AI Chatbot Use in the Public Sector: Evidence from US State Governments. Public Performance & Management Review. 1 -26. 10.1080/15309576.2024.2389864.

[20] Cobalt Intelligence. (2024). Alternative credit data 101: Enhance credit decisions with alternative data insights. https://cobaltintelligence.com/blog/post/alternati ve-credit-data-101-enhance-credit-decisions- with-alternative-data-insights-2024

[21] Datahub Analytics Team. (2025, March 29). Natural Language Processing (NLP) for unstructured data analysis. Datahub Analytics. https://datahubanalytics.com/natural-language- processing-nlp-for-unstructured-data-analysis/

[22] Deloitte. (2025). Leveraging AI for financial planning. https://www.deloitte.com/ch/en/services/consult ing/perspectives/leveraging-ai-for-financial- planning.html

[23] Dhruv Kikani, Sunny M. Ramchandani. (2025). The Impact of AI Chatbots on Customer Service: Efficiency vs. Human Touch A Comparative Analysis of Automation and Human Interaction in Customer Support. International Journal for Research Trends and Innovation IJRTI | Volume 10, Issue 3 March 2025 | IJRTI2503134.

[24] Dine, J. (2025, January 21). How the Competitive Grant Program awards are connecting U.S. communities. New America. https://www.newamerica.org/oti/blog/how-the- competitive-grant-program-awards-are- connecting-us-communities/

[25] Dwi Andayani, Dian Indiyati, Meri Mayang Sari, Goh Yao, Jack Williams. (2024). Leveraging AI-Powered Automation for Enhanced Operational Efficiency in Small and Medium Enterprises (SMEs). APTISI Transactions on Management (ATM) Vol. 8, No. 3, 2024, pp. 250∼258 E- P-,

[26] Eboigbe, Emmanuel & Farayola, Oluwatoyin & Olatoye, Funmilola & Chinwe, Nnabugwu & Daraojimba, Chibuike. (2023). BUSINESS INTELLIGENCE TRANSFORMATION THROUGH AI AND DATA ANALYTICS. Engineering Science & Technology Journal. 4. 285-307. 10.51594/estj.v4i5.616.

[27] Elpisah, E.. (2023). Towards Inclusive Growth: Community-Centered Management Strategies for SMEs. Golden Ratio of Community Services and Dedication. 3. 29 -39. 10.52970/grcsd.v3i1.606.

[28] Ewim, C. P.-M., Okeke, N. I., Alabi, O. A., Igwe, A. N., & Ofodile, O. C. (2024). Customer-centric digital transformation framework: Enhancing service delivery in SMEs for underserved populations. International Journal of Management & Entrepreneurship Research, 6(10). https://

[29] Eziefule A.O., Adelakun B.O., Okoye I.N., & Attieku J.S. (2024) The Role of AI in Automating Routine Accounting Tasks: Efficiency Gains and Workforce Implications, European Journal of Accounting, Auditing and Finance Research, Vol.10, No. 12, pp.,109-134 https:// 09134

[30] Faisal, Reena & Amekudzi, Carl & Kamran, Samira & Fonkem, Beryl & Tawo, Obah & Awofadeju, Martins. (2023). The Impact of Digital Transformation on Small and Medium Enterprises (SMEs) in the USA: Opportunities and Challenges.

[31] FasterCapital. (2024). Credit scoring and risk assessment using AI. https://fastercapital.com/topics/credit-scoring- and-risk-assessment-using-ai.html

[32] Federal Railroad Administration. (2025, June 9). Infrastructure Investment and Jobs Act information from FRA. https://railroads.dot.gov/IIJA

[33] Ferdiansyah, Januri & Abudaqa, Anas & Lansonia, April. (2025). Leveraging Artificial Intelligence for Competitive Advantage in SMEs An Empirical Analysiss. APTISI Transactions on Management (ATM). 9. 140- 151. 10.33050/atm.v9i2.2472.

[34] Ferguson Melhorn, S., Hoover, M., & Lucy, I. (2024, May 20). See the data behind America's small businesses. U.S. Chamber of Commerce. https://www.uschamber.com/small- business/small-business-data-center

[35] Forbes. (2023, July 18). Customer support: Using AI chatbots for efficiency and empathy. Forbes Business Development Council. https://www.forbes.com/councils/forbesbusiness developmentcouncil/2023/07/18/customer- support-using-ai-chatbots-for-efficiency-and- empathy/

[36] Foreign, Commonwealth & Development Office. (2024). Digital development strategy 2024–2030. GOV.UK. https://assets.publishing.service.gov.uk/media/6 613e7f7c4c84d4b31346a68/FCDO-Digital- Development-Strategy-2024-2030.pdf

[37] GOV.UK. (2025, February 26). Digital inclusion action plan: First steps. GOV.UK. https://www.gov.uk/government/publications/di gital-inclusion-action-plan-first-steps/digital- inclusion-action-plan-first-steps

[38] Haojun Wen, Ting Wu. (2025). The Tech- Driven Era: Deep Integration of Artificial Intelligence and Cross-border E-commerce. Information Systems and Economics. 10.23977/infse.2025.060114

[39] Harmanpreet, B & Harikrishna, G & Dhulipalla, I. (2023). NLP for sentiment analysis, customer service automation, and market trend predictions. International Journal of Science and Research Archive. 10. 1084 -1090. 10.30574/ijsra.2023.10.1.0698.

[40] Hassouna, Mohamed & El-henawy, Ibrahim & Haggag, Riham. (2022). The Impact Of Using Artificial Intelligence (AI) In Supply Chain Management On Companies. Literature Review. International Journal of Scientific and Engineering Research. 13. 995-1007.

[41] Hussain, Atif & Rizwan, Rana. (2024). Strategic AI adoption in SMEs: A Prescriptive Framework. 10.48550/arXiv.2408.11825.

[42] Igor Menghin. (2023). NLP for Market and Competitive Intelligence. https://ceur- ws.org/Vol-3650/paper2.pdf

[43] Jonathan Morris, Wyn Morris, Robert Bowen. (2022). Implications of the digital divide on rural SME resilience. Journal of Rural Studies, Volume 89, Pages 369-377, . https://

[44] Keelson, S. A., Cúg, J., Amoah, J., Petráková, Z., Addo, J. O., & Jibril, A. B. (2024). The Influence of Market Competition on SMEs’ Performance in Emerging Economies: Does Process Innovation Moderate the Relationship? Economies, 12(11), 282. https://

[45] LITSLINK. (2025, June 19). No-code AI platform growth in 2025: What it means for businesses. LITSLINK. https://litslink.com/blog/no-code-ai-platforms- what-it-means-for-businesses

[46] Lorenzo Ardito, Raffaele Filieri, Elisabetta Raguseo, Claudio Vitari; (2024). Artificial intelligence adoption and revenue growth in European SMEs: synergies with IoT and big data analytics. Internet Research 2024; https://

[47] Liang, Loo & Hongtao, Liu. (2025). The Factors Influencing the Adoption of AI in E-Commerce by SMEs in Shandong Province. International Journal of Research and Innovation in Applied Science. X. 1268 -1288. 10.51584/IJRIAS.2025.10060096.

[48] Liberto, D. (2025, April 10). Small and midsize enterprise (SME): Definition and types around the world. Investopedia. https://www.investopedia.com/terms/s/smalland midsizeenterprises.asp

[49] Magableh, Ihab & Mahrouq, Maher & Ta'amnha, Mohammad & Riyadh, Hosam Alden. (2024). The Role of Marketing Artificial Intelligence in Enhancing Sustainable Financial Performance of Medium-Sized Enterprises Through Customer Engagement and Data- Driven Decision-Making. Sustainability. 16. 11279. 10.3390/su162411279.

[50] Maldonado-Canca, LA., Casado-Molina, AM., Cabrera-Sánchez, JP. et al. (2024). Beyond the post: an SLR of enterprise artificial intelligence in social media. Soc. Netw. Anal. Min. 14, 219 (2024). https:// 01382-y

[51] Malebatom Sousso. (2024). An Examination of the Differences in the Funding of MinorityOwned Businesses (Small and Large) Compared to Non -Minority Businesses. https://scholarworks.waldenu.edu/cgi/viewconte nt.cgi?article=17261&context=dissertations

[52] Malik N, Bilal M. (2024). Natural language processing for analyzing online customer reviews: a survey, taxonomy, and open research challenges. PeerJ Comput Sci. 2024 Jul 19;10:e2203. PMID: 39145232; PMCID: PMC11323031.

[53] Manideep Paturi. (2025). AI-Driven Sentiment Analysis for Real -Time Product PositioningandAdaptive Marketing Campaign Optimization. International Journal of Research Publication and Reviews, Vol 6, Issue 6, pp 5822-5838 . https://

[54] Medium. (2025). Empoweri ng Small Businesses: How No-Code AI Tools Drive Scalable Growth. https://ai.plainenglish.io/empowering-small- businesses-how-no-code-ai-tools-drive-scalable- growth-513fdeb82466

[56] Nkwinika, Eugine & S.A, Akinola. (2023). The importance of financial management in small and medium-sized enterprises (SMEs): an analysis of challenges and best practices. Technology audit and production reserves. 5. 12-20. 10.15587/2706-5448.2023.285749.

[57] Nnenna Ijeoma Okeke, Olufunke Anne Alabi, Abbey Ngochindo Igwe, Onyeka Chrisanctus Ofodile and Chikezie Paul-Mikki Ewim. (2024) AI-driven personalization framework for SMES: Revolutionizing customer engagement and retention. World Journal of Advanced Research and Reviews, 24(01), 2019–2035 https://

[58] Noor, Yasir & Gabriel, Michael. (2024). Predictive Insights for SMEs: Utilizing Analytics to Navigate Customer Behavior and Emerging Market Risks. 10.13140/RG.2.2.10013.22241.

[59] OECD (2024), Financing SMEs and Entrepreneurs 2024: An OECD Scoreboard, OECD Publishing, Paris, https://

[60] Okeke, Njideka & Bakare, Oluwaseun & Achumie, Godwin. (2024). Artificial Intelligence in SME financial decision-making: Tools for enhancing efficiency and profitability. Open Access Research Journal of Multidisciplinary Studies. 8. 150-163. 10.53022/oarjms.2024.8.1.0056.

[61] Okeke, Njideka & Bakare, Oluwaseun & Achumie, Godwin. (2024b). Implementing data- driven financial management systems in SMEs: A case review approach. International Journal of Management & Entrepreneurship Research. 6. 3243-3258. 10.51594/ijmer.v6i10.1613.

[62] Oluwatosin Abdul-Azeez, Alexsandra Ogadimma Ihechere and Courage Idemudia. (2024). SMEs as catalysts for economic development: Navigating challenges and seizing opportunities in emerging markets. GSC Advanced Research and Reviews, 2024, 19(03), 325–335. https://

[63] Oni, Samuel. (2025). The Impact of AI on SME Financial Decision-Making Processes. 18.

[64] Organisation for Economic Co-operation and Development. (2024). The impact of artificial intelligence on productivity, distribution and growth. OECD Publishing. https://www.oecd.org/content/dam/oecd/en/publ ications/reports/2024/04/the-impact-of- artificial-intelligence-on-productivity- distribution-and-growth_d54e2842/8d900037- en.pdf

[65] Organisation for Economic Co-operation and Development. (2024). SME digitalisation 2024: Managing shocks and transitions – An OECD D4SME survey. Policy highlights. https://www.oecd.org/content/dam/oecd/en/net works/oecd-digital-for-smes-global- initiative/FINAL-D4SME-2024-Survey-Policy- Highlights.pdf

[66] Organisation for Economic Co-operation and Development. (2021). SME digitalisation to build back better. OECD Publishing. https://www.oecd.org/content/dam/oecd/en/publ ications/reports/2021/12/sme-digitalisation-to- build-back-better_c52afe21/50193089-en.pdf

[67] Panigrahi, R. R., Shrivastava, A. K., Qureshi, K. M., Mewada, B. G., Alghamdi, S. Y., Almakayeel, N., Almuflih, A. S., & Qureshi, M. R. N. (2023). AI Chatbot Adoption in SMEs for Sustainable Manufacturing Supply Chain Performance: A Mediational Research in an Emerging Country. Sustainability, 15(18), 13743. https://

[68] Pascal Ugochukwu Ojukwu, Hope Ehiaghe Omokhoa, Chinekwu Somtochukwu Odionu, Chima Azubuike, Aumbur Kwaghter Sule5. (2025). Digital Transformation and Optimization Framework for Advancing SME Growth and Operational Effectiveness. https://rsisinternational.org/journals/ijriss/article s/digital-transformation-and-optimization- framework-for-advancing-sme-growth-and- operational-effectiveness/

[69] Rahaman, Shafeeq Ur & Kokku, Rishita & Suddala, Swathi. (2022). Sentiment Analysis Revolution: Using NLP to Uncover Social Media's Hidden Marketing Power. 10.1729/Journal.41905.

[70] Rane, Nitin and Paramesha, Mallikarjuna and Choudhary, Saurabh and Rane, Jayesh. (2024). Business Intelligence through Artificial Intelligence: A Review. Available at SSRN: https://ssrn.com/abstract=4831916 or http://dx.

[71] Richard, Heston. (2025). AI and Digital Transformation for SMEs: Regional Challenges and Global Opportunities Across Continents.

[73] Schwaeke, J., Peters, A., Kanbach, D. K., Kraus, S., & Jones, P. (2024). The new normal: The status quo of AI adoption in SMEs. Journal of Small Business Management, 63(3), 1297– 1331. https://

[74] Selamat, Moch & Windasari, Nila A.. (2021). Chatbot for SMEs: Integrating customer and business owner perspectives. Technology in Society. 66. 101685. 10.1016/j.techsoc.2021.101685.

[75] Sido, N., & Emon, E. A. A. (2024). Low/No Code Development and Generative AI (Thesis Report). Aalborg University, Copenhagen. Retrieved from https://vbn.aau.dk/ws/files/717521040/LowNO Code__GenAI.pdf

[76] Smith, M. (2025, April 16). How AI levels the playing field to help small businesses compete with giants. Entrepreneurs’ Organization. https://eonetwork.org/blog/search/how-ai- levels-the-playing-field-to-help-small- businesses-compete-with-giants/?scLang=en

[77] Soomro, R.B., Al-Rahmi, W.M., Dahri, N.A. et al. (2025). A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs. Sci Rep 15, 5438 (2025). https:// 025-86464-3

[78] Sophie, Emily. (2025a). AI Tools and Platforms Tailored for SME Financial Planning. 7.

[79] Sophie, Emily. (2025b). Leveraging AI for cash flow management in SMEs. 27.

[82] U.S. Chamber of Commerce. (2024, September 16). New study reveals nearly all U.S. small businesses leverage AI-enabled tools, warns proposed regulations could hinder growth. https://www.uschamber.com/technology/artifici al-intelligence/new-study-reveals-nearly-all-u-s- small-businesses-leverage-ai-enabled-tools- warns-proposed-regulations-could-hinder- growth

[83] U.S. Small Business Administration. (2023, March 1). Small Business Digital Alliance marks one -year anniversary. https://www.sba.gov/article/2023/mar/01/small- business-digital-alliance-marks-one-year- anniversary

[84] Ugbebor, Friday & Adeteye, David & Ugbebor, John. (2024). Predictive Analytics Models For Smes To Forecast Market Trends, Customer Behavior, And Potential Business Risks. Journal of Knowledge Learning and Science Technology (online). 3. 355- 381. 10.60087/jklst.v3.n3.p355-381.

[85] Ugwu Jovita Nnenna, Silaji Turyamureeba, Kule Ashirafu Masudi and Tom Ongesa Nyamboga. (2024). Digital Transformation in SMEs: Challenges, Technologies, and Best Practices. Research Invention Journal Of Current Issues In Arts And Management 3(2):49-55, 2024. https://rijournals.com/current- issues-in-arts-and-management/

[86] Uzoka, Abel & Cadet, Emmanuel & Ojukwu, Pascal. (2024). Leveraging AI-Powered chatbots to enhance customer service efficiency and future opportunities in automated support. Computer Science & IT Research Journal. 5. 2485-2510. 10.51594/csitrj.v5i10.1676.

[87] Zavodna, Lucie & Ueberwimmer, Margarethe & Frankus, Elisabeth. (2024). Barriers to the implementation of artificial intelligence in small and medium sized enterprises: Pilot study. Journal of Economics and Management. 46. 331-352. 10.22367/jem.2024.46.13.

@article{1710480,
      author = {Nkemdirim Mbah},
      title = {AI for Economic Inclusion: Empowering Underserved SMEs Through Intelligent Systems},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {3},
      pages = {334-352},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710480.pdf},
      abstract = {This paper examines the transformative role of artificial intelligence (AI) in addressing systemic barriers faced by underserved small and medium-sized enterprises (SMEs), particularly those owned by women, minorities, and businesses in rural areas. Through an in-depth review of academic literature, policy frameworks, and case studies, the study highlights how AI-driven tools such as chatbots, predictive analytics, AI-enabled financial planning platforms, and Natural Language Processing (NLP) technologies are democratizing access to critical business resources and fostering equitable economic participation. The findings reveal AI?s potential to enhance SME competitiveness by improving operational efficiency, financial decision-making, and customer engagement, while also identifying persistent challenges related to AI bias, data privacy, digital literacy gaps, and onboarding costs. The paper is structured to first explore academic perspectives on economic inclusion and AI?s application in business, followed by an analysis of digital transformation trends within SME ecosystems. Subsequent sections examine the barriers impeding SME innovation, AI-driven solutions addressing these challenges, and the broader economic impacts of AI empowerment. The study concludes with policy recommendations and strategic pathways to ensure inclusive AI adoption, emphasizing the need for sustained ecosystem support and collaborative public-private initiatives. The anticipated implications for economic policy and innovation ecosystems are profound. AI has the capacity to bridge opportunity gaps, fuel SME-led economic revitalization, and align with broader goals of equity and resilience. However, achieving these outcomes requires intentional policy design, ethical AI deployment principles, and targeted capacity-building efforts to ensure no business is left behind in the digital economy.},
      keywords = {Artificial Intelligence, SME Competitiveness, Economic Inclusion, AI-Driven Innovation, Digital Transformation, Predictive Analytics, NLP, Financial Access, AI Policy, Digital Equity, Minority-Owned Businesses, Rural SMEs.},
      month = {September},
      doi = {https://doi.org/10.64388/IREV9I3-1710480}
  }