AI based Sales Forecasting

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AI based Sales Forecasting

Prof. Jitendra Gaikwad, Atharva Jadhav, Makarand Jagadale, Shreyash Jagtap

Department of Instrumentation and Control Engineering

Vishwakarma Institute of Technology, Pune, 411037, Maharashtra, India

Abstract— This research paper explores the efficacy of Artificial Intelligence (AI) in enhancing sales forecasting accuracy. Leveraging regression analysis and machine learning algorithms, the proposed AI-based Sales Forecasting system offers real-time predictions tailored to various product and outlet characteristics. The system's interactive dashboard facilitates seamless data input and visualization, empowering businesses to make informed decisions quickly. With an integrated API for easy integration into existing systems, the solution enhances operational efficiency and enables data-driven decision-making. This study underscores the importance of AI in revolutionizing retail forecasting and its potential to drive business growth in dynamic market landscapes.

Keywords— Artificial Intelligence (AI), Sales Forecasting, Regression Analysis, Machine Learning, Data-driven Decision-making

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