A Study on Consumer Viewpoint on In-Stock Consistency and Impact of AI-Driven Demand Forecasting on Financial Outcomes

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This analysis demonstrates how AI-driven demand forecasting impacts financial outcomes by improving in-stock consistency in e-commerce.

AI-driven demand forecasting enhances inventory control, improving overall product availability.
Regular product availability fosters customer trust and contributes to brand loyalty, leading to higher market share.
Utilizing machine learning models can reduce overstocking and understocking, improving cash flow.
Analysis of financial data indicates significant operational efficiency and reduced waste through predictive analytics.

Karthik Bharath (2025) studied this question.

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