AI-Based Sales Forecasting Model for Digital Marketing

In today’s competitive marketplace, accurately forecasting sales is crucial for business success. This article explores how artificial intelligence (AI) can transform digital marketing by utilizing advanced IT systems to collect and analyze customer feedback, providing valuable insights into consumer preferences and behaviors. The proposed method combines Support Vector Machines (SVMs) and Artificial Neural Networks (ANNs) to identify potential customers and uncover meaningful patterns in feedback. By integrating machine learning techniques, businesses can make data-driven decisions to refine marketing strategies, improve customer targeting, and personalize communication. This AI-powered approach enhances marketing performance by enabling more effective promotional strategies and better customer engagement, ultimately improving competitive positioning. By leveraging AI algorithms like SVMs and ANNs, companies can discover hidden patterns within large datasets, leading to better decision-making and increased customer satisfaction. The result is improved marketing efficiency and the ability to thrive in a more competitive environment, driving growth and fostering long-term success.

Machine Learning, Support Vector Machines, Sales Prediction

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