Nithin K, Mohammed Roshan S, Avinash K
This study examines pricing strategies using regression and correlation analysis to understand the impact of key pricing factors on sales performance. Variables such as unit price, freight cost, lagged price, and customer review scores were analysed using Excel. The results indicate that unit price and freight cost have a negative effect on sales, while customer ratings and lagged price show varying levels of influence. The findings provide practical insights for businesses to improve pricing decisions, enhance sales performance, and support data-driven pricing strategies.