INSIGHT EDGE A MARKETING STRATEGY RECOMMENDATION SYSTEM

Abstract

This project focuses on building a Marketing Strategy Recommendation System specifically for restaurants, utilizing advanced recommendation algorithms to deliver strategic insights. The process begins with cleaning and refining a secondary dataset that includes details like menu items and sales figures from a particular restaurant. Using machine learning techniques, the system analyses this data to identify patterns and trends, which helps in formulating marketing strategies aimed at increasing sales, revenue, and customer satisfaction. The system is designed to be scalable, addressing the challenges of manual marketing such as data overload, complex calculations, and human limitations. By continuously adjusting to new data, the system aims to provide accurate recommendations that adapt to changing customer preferences. The results from implementing this system will show significant improvements, including higher sales and better customer engagement due to more personalized marketing efforts. Overall, the project delivers a practical tool that helps restaurants enhance their marketing tactics, making them more efficient and effective in attracting and retaining customers.