Ecommerce Sales Analisis

Ecommerce Sales Analysis – Portfolio Case Study 1. Problem Statement Ecommerce businesses generate large volumes of sales data, but without proper analysis, it becomes difficult to identify growth opportunities, profitable segments, and operational inefficiencies. The objective of this project was to: * Analyze historical sales data * Identify key revenue drivers * Understand customer and regional trends * Provide actionable business insights --- 2. Dataset Overview * Total Orders: **5,009** * Total Sales: **$2.29M+** * Total Profit: **$286K+** * Total Quantity Sold: **37,873 units** * Time Period: **2011 – 2014** The dataset includes: * Order details (date, quantity, category) * Customer segments * Regional data * Sales, profit, and discount values --- 3. Approach & Methodology ### Data Cleaning * Removed inconsistencies and duplicates * Standardized formats (dates, categories) * Handled missing values ### Data Transformation * Created calculated fields (Profit, Growth, KPIs) * Structured data using Pivot Tables ### Data Visualization * Designed an interactive Excel dashboard * Used charts for storytelling: * Line charts (trend analysis) * Bar charts (category comparison) * Pie charts (distribution) * Waterfall chart (profit breakdown) --- 4. Dashboard Highlights * Sales & Profit Overview * Year-wise Growth Trends * Region-wise Performance * Top Categories & Products * Profitability Analysis * KPI Metrics (Sales, Profit, Growth) --- 5. Key Business Insights # Revenue Insights * Sales crossed **$2.2M**, showing steady growth over time * Certain categories contributed significantly more revenue # Profitability Insights * High discounts negatively impacted profit margins * Some regions generated high sales but low profit # Customer & Regional Insights * Specific regions consistently outperformed others * Customer purchasing patterns varied by segment --- 6. Business Recommendations * Reduce excessive discounting in low-profit regions * Focus marketing efforts on high-performing categories * Improve strategy for underperforming regions * Use data-driven decision-making for inventory planning --- 7. Tools & Skills Demonstrated * Microsoft Excel * Data Cleaning & Preparation * Pivot Tables & Advanced Formulas * Dashboard Design * Data Visualization * Business Insight Generation --- 8. Project Outcome This project demonstrates the ability to: * Convert raw data into meaningful insights * Build interactive dashboards for stakeholders * Apply analytical thinking to solve business problems

Project ID: 40558099