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A Study on Consumer Viewpoint on In-Stock Consistency and Impact of AI-Driven Demand Forecasting on Financial Outcomes
Authors
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.
Article Information
- Published In
- Volume 6, Issue 5 (2025)
- Published Online
- September-October 2025
- Pages
- 39-44
- Article Type
- Original Article
- Check for updates
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Abstract
View PDFThis project examines the significance of in-stock consistency and the function of AI-driven demand forecasting in the Indian e-commerce industry. Product availability is essential for retaining and satisfying customers in the cutthroat retail industry of today. While regular availability fosters trust, repeat business, and market share, frequent stockouts damage a brand's reputation, diminish customer loyalty, and result in revenue loss. The study demonstrates how AI-based demand forecasting enhances inventory control by precisely estimating demand, which lowers overstocking and understocking. Better use of resources, reduced operating expenses, and quicker supply chain reaction are the results of this. Uses machine learning models and predictive analytics to improve cash flow, reduce waste, boost margins, and align customer expectations with financial objectives. Examination of financial information, industry reports, and consumer insights.
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