ZenithBlox Inc. is seeking to refine its pricing model to enhance competitiveness and maximize revenue. The current pricing strategy lacks flexibility and does not fully account for market fluctuations or customer segmentation. The goal of this project is to develop a dynamic pricing model that leverages data analytics to adjust prices in real-time based on demand, competition, and customer behavior. This project will allow learners to apply their knowledge of data analysis, economics, and marketing strategies to create a robust pricing framework. The team will conduct market research, analyze historical sales data, and explore pricing algorithms to propose a comprehensive pricing strategy tailored to ZenithBlox's product offerings.

The project deliverables will include a detailed report outlining the proposed dynamic pricing model, supported by data analysis and market research findings. Additionally, the team will present a prototype of a pricing algorithm that can be integrated into ZenithBlox's existing systems. The deliverables will also include a presentation summarizing the key insights and recommendations for implementing the new pricing strategy.