Project information
- Category: Business Data Analysis
- Client: Global Electronics Retail Company
- Project date: January 2024 - April 2024
- Project URL: Sales Analysis Project
Electronics Retail Sales Analysis
This project involved a comprehensive analysis of sales data for a global electronics retail company. The goal was to identify key trends, optimize sales performance, and provide data-driven strategic recommendations.
Key Achievements:
- Detailed analysis of sales by product category and geographical region.
- Study of temporal and seasonal sales trends over a 5-year period.
- Comparative assessment of online and in-store sales channel performance.
- Analysis of delivery times and their impact on sales.
- Development of strategic recommendations for sales optimization and customer experience improvement.
Technologies Used:
Python, Pandas, Matplotlib, Seaborn, Plotly, SQL
Context and Challenges
The company was facing growing challenges in an ever-evolving electronics market. With sales data spanning several years and covering various products and regions, it was crucial to extract actionable insights to guide future strategy.
Methodology
The analysis was conducted in several stages:
- Cleaning and preparation of data from multiple sources.
- Exploratory data analysis to identify general trends.
- In-depth analysis of sales by product category, region, and sales channel.
- Study of temporal and seasonal trends.
- Analysis of the impact of delivery times on sales and customer satisfaction.
- Detailed comparison of online and in-store sales performance.
Key Findings
- Identification of best-performing product categories, with computers leading in sales.
- Highlighting strong sales seasonality, with significant peaks at year-end.
- Discovery of a consistent improvement in delivery times, from 8 days in 2016 to about 4 days in 2021.
- Observation of slightly superior in-store sales compared to online sales, but with significant growth potential for the online channel.
Recommendations
Based on this analysis, several strategic recommendations were formulated:
- Strengthen the product offering in the computer category while seeking to diversify to reduce dependency.
- Optimize inventory management and marketing strategies in anticipation of seasonal peaks.
- Continue to improve delivery times, aiming for an average of 3 days to enhance competitiveness.
- Develop a robust omnichannel strategy, improving the online shopping experience while capitalizing on the strengths of physical stores.
- Implement predictive analytics to anticipate future trends and quickly adapt strategy.
Impact and Added Value
This analysis provided the company with a deep understanding of its sales performance and growth opportunities. The recommendations formulated have the potential to increase revenue, improve operational efficiency, and enhance customer satisfaction. Implementing these strategies could lead to an estimated 15% increase in overall sales and a 20% improvement in customer satisfaction.