Published November 20, 2025
| Version v1
Journal article
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Leveraging Artificial Intelligence and Machine Learning for Optimizing Sales Strategies with Predictive Analysis
Authors/Creators
- 1. University at Buffalo
Description
The research paper examines how Artificial Intelligence (AI) and Machine Learning (ML) enhance sales optimization amidst complex market dynamics. It emphasizes predictive analytics to improve forecasting, customer personalization, and operational efficiency. Through case studies from Walmart, Amazon, and Salesforce, the paper illustrates successful implementations such as inventory management and dynamic pricing. It also discusses the challenges of data quality and change management. A Python-based implementation guide offers practical strategies for leveraging AI/ML, aiming to empower businesses to forecast demand, adapt strategies, and improve sales performance with actionable insights and visual analytics.
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leveraging-artificial-intelligence-and-machine-learning-for-optimizing-sales-strategies-with-predictive-analysis-IJERTV14IS110143.pdf
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- Journal article: https://www.ijert.org/leveraging-artificial-intelligence-and-machine-learning-for-optimizing-sales-strategies-with-predictive-analysis (URL)