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Original Article
A Study on Consumer Viewpoint on In-Stock Consistency and Impact of AI-Driven Demand Forecasting on Financial Outcomes
Bharath K J1
Nithya M P2
1Assistant Professor, Department of Management Studies, Faculty of Engineering, Management and Technology (BGS Institute of Technology), Adichunchanagiri University, BG Nagara, Nagamangala, Mandya, Karnataka, India. 2 Student, Department of Management Studies, Faculty of Engineering, Management and Technology (BGS Institute of Technology), Adichunchanagiri University, BG Nagara, Nagamangala, Mandya, Karnataka, India.
Published Online: September-October 2025
Pages: 39-44
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250605006
References
1. Ooi, K. L. (2025). Emerging Trends and AI Technologies. Demystifying Behavioural Finance: Foundational Theories to Contemporary Applications and Future Directions, 115-126.
2. Pamadi, V. N., & Kumar, S. AI Powered Automation Transforming Business Processes with Machine Learning.
3. Wu, M., Subramaniam, G., Li, Z., & Gao, X. (2025). Using AI Technology to Enhance Data‐ Driven Decision‐Making in the Financial Sector. Artificial Intelligence‐Enabled Businesses: How to Develop Strategies for Innovation, 187-207.
4. Pujol Volodina, M. (2025). The Use of AI in Demand Forecasting for Small and Medium Enterprises.
5. Mirza, J. B., Hasan, M. M., Paul, R., Hasan, M. R., & Asha, A. I. (2025). AI-Driven Business Intelligence in Retail: Transforming Customer Data into Strategic Decision- Making Tools. AIJMR-Advanced International Journal of Multidisciplinary Research, 3(1).
6. Ganguli, S., & Mercado, A. Business Economics Forecasting Using Ai: From Perception to Practice. Available at SSRN 5214807.
7. Khattak, B. H. A., Shafi, I., Khan, A. S., Flores, E. S., Lara, R. G., Samad, M. A., & Ashraf, I. (2023). A systematic survey of AI models in financial market forecasting for profitability analysis. Ieee Access, 11, 125359-125380.
8. lo Conte, D. L. (2025). Enhancing decision-making with data-driven insights in critical situations: impact and implications of AI- powered predictive solutions.
9. Rezaei, A., Abdellatif, I., & Umar, A. (2025). Towards Economic Sustainability: A Comprehensive Review of Artificial Intelligence and Machine Learning Techniques in Improving the Accuracy of Stock Market Movements. International Journal of Financial Studies, 13(1), 28.
10. Woodyard, A. S., & Robb, C. A. (2016). Consideration of financial satisfaction: What consumers know, feel and do from a financial perspective. Journal of Financial 70 Therapy, 7(2), 4.
2. Pamadi, V. N., & Kumar, S. AI Powered Automation Transforming Business Processes with Machine Learning.
3. Wu, M., Subramaniam, G., Li, Z., & Gao, X. (2025). Using AI Technology to Enhance Data‐ Driven Decision‐Making in the Financial Sector. Artificial Intelligence‐Enabled Businesses: How to Develop Strategies for Innovation, 187-207.
4. Pujol Volodina, M. (2025). The Use of AI in Demand Forecasting for Small and Medium Enterprises.
5. Mirza, J. B., Hasan, M. M., Paul, R., Hasan, M. R., & Asha, A. I. (2025). AI-Driven Business Intelligence in Retail: Transforming Customer Data into Strategic Decision- Making Tools. AIJMR-Advanced International Journal of Multidisciplinary Research, 3(1).
6. Ganguli, S., & Mercado, A. Business Economics Forecasting Using Ai: From Perception to Practice. Available at SSRN 5214807.
7. Khattak, B. H. A., Shafi, I., Khan, A. S., Flores, E. S., Lara, R. G., Samad, M. A., & Ashraf, I. (2023). A systematic survey of AI models in financial market forecasting for profitability analysis. Ieee Access, 11, 125359-125380.
8. lo Conte, D. L. (2025). Enhancing decision-making with data-driven insights in critical situations: impact and implications of AI- powered predictive solutions.
9. Rezaei, A., Abdellatif, I., & Umar, A. (2025). Towards Economic Sustainability: A Comprehensive Review of Artificial Intelligence and Machine Learning Techniques in Improving the Accuracy of Stock Market Movements. International Journal of Financial Studies, 13(1), 28.
10. Woodyard, A. S., & Robb, C. A. (2016). Consideration of financial satisfaction: What consumers know, feel and do from a financial perspective. Journal of Financial 70 Therapy, 7(2), 4.
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