To develop a data-driven system that analyzes competitor pricing, product features, and demand trends to recommend optimal pricing strategies. The project aims to support businesses in improving profitability and maintaining competitive market positioning through structured data analysis.
Gather competitor pricing and product data from online sources.
Store collected data in structured databases (MySQL).
Perform comparative analysis between multiple brands.
Identify pricing gaps and value-based positioning strategies.
Use regression models to analyze price-demand relationship.
Create dashboards showing competitor comparison metrics.
Implement demand forecasting techniques.
Study elasticity of demand using historical data.
Generate automated price optimization suggestions.
Analyze seasonal and promotional impact on pricing.
Validate model outputs using statistical evaluation methods.
Document competitive insights and strategy recommendations.
