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September 10, 2025Deleted Journal

Artificial Intelligence in Demand Forecasting and Inventory Optimization

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Authors

OFOpeyemi Morenike FilaniJOJohn Oluwaseun OlajideGOGrace Omotunde Osho

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Overview

Observational analysis shows AI enhances demand forecasting and inventory management in businesses, indicating strategic benefits.

Key Points

  • AI improves demand forecasting accuracy, reducing errors in supply chain management.
  • Machine learning techniques analyze diverse datasets, resulting in predictive insights and cost savings.
  • Dynamic inventory optimization adjusts stock levels based on real-time demand, improving service levels significantly.
  • Despite advantages, challenges like data quality and implementation complexity may hinder effective AI integration.

Cite This Study

Filani et al. (2023) studied this question.

synapsesocial.com/papers/68c2443bb210217d647aa355https://doi.org/10.62225/2583049x.2023.3.6.4617
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