Maid In Luxury aims to enhance its marketing strategy by leveraging data analytics to predict optimal pricing and campaign launches. The project involves developing a predictive model that forecasts the best times to initiate marketing campaigns, such as window cleaning promotions or green product offerings, tailored to specific customer segments and geographical areas. The goal is to utilize historical data and market trends to make informed decisions that maximize customer engagement and sales. This project will allow learners to apply their knowledge of data analysis, machine learning, and marketing principles to solve real-world business challenges. The tasks will include data collection, model development, and validation, ensuring the model's accuracy and reliability.

The deliverables for this project include a comprehensive predictive model that identifies optimal pricing strategies and campaign launch timings. Additionally, a detailed report explaining the model's methodology, findings, and recommendations for future marketing strategies will be provided. The team will also present a visual dashboard that highlights key insights and predictions, making it easy for Maid In Luxury to implement data-driven decisions.