A comprehensive Tableau dashboard analyzing $2.37B in Amazon sales data across regions, channels, and product categories.
π View Live Dashboard Β· πΌ LinkedIn Β· π Peerlist Β· π§ Email
π View the full interactive dashboard on [Tableau Publ]ic](https://public.tableau.com/app/profile/priyanshi.rajput/viz/AmazonSalesDashboard_17380474019010/RevenueAnalysis)
- π Project Overview
- π― Background & Goals
- π Key KPIs
- π Key Insights
- π οΈ Process
- π₯ Stakeholders
- π Next Steps
- π Files
- π οΈ Tools Used
- π©βπ» Connect With Me
This Amazon Sales Analysis project provides a comprehensive overview of key performance indicators such as profit, revenue, shipping days, and unit sales.
The analysis focuses on:
- π Evaluating profit distribution across regions and countries
- π‘ Identifying channel-specific revenue trends (Online vs Offline)
- π Understanding yearly variations in orders and costs
- π§Ύ Examining item-wise metrics β revenue, profit margins, shipments, units sold
By uncovering actionable insights, this study enables Amazon to enhance regional performance, streamline operations, and drive sustainable growth.
Amazon, as a global e-commerce leader, processes millions of transactions daily across various regions, channels, and categories. Understanding sales trends and performance metrics is crucial for sustaining profitability and operational efficiency.
Evaluate the impact of shipping days, order priorities, and sales across different products and regions β ultimately guiding decision-making for operational improvements.
| π° Total Revenue | π Total Profit | π¦ Units Sold | π Avg Shipping Days |
|---|---|---|---|
| $2,370.7M | $788M | 9.0M | 23.95 days |
| Region | Profit | Status |
|---|---|---|
| Sub-Saharan Africa | $220.8M | π₯ Highest |
| Europe | $189.6M | π₯ 2nd |
| Middle East & North Africa | $126.3M | π₯ 3rd |
| Australia & Oceania | $89.1M | |
| Asia | $70.9M | |
| Central America & Caribbean | $40.5M | |
| North America | $39.4M | |
| India | $11.5M |
| Country | Profit |
|---|---|
| π Djibouti | $58.2M |
| π₯ Pakistan | $46.4M |
| π₯ Samoa | $45.6M |
| 4οΈβ£ Mexico | $39.4M |
| Channel | Revenue |
|---|---|
| πͺ Offline | $1,425.39M |
| π» Online | $945.35M |
π‘ Insight: Offline sales significantly outperform online sales β focus needed on improving the online customer experience.
| Category | Revenue | Profit | Units Sold |
|---|---|---|---|
| Cosmetics | $724.4M | $288.1M | 261 (Highest) |
| Office Supplies | $530.6M | $102.9M | 198 |
| Household | $469.8M | $116.5M | 126 |
| Baby Food | $180.1M | $67.6M | β |
| Clothes | $151.0M | $101.5M | 243 |
| Beverages | $63.6M | $21.0M | 180 |
| Fruits | Lowest | Lowest | β |
π‘ Insight: Cosmetics is the most profitable, highest revenue, and best-selling category. Fruits has the lowest performance across all metrics.
| Year | Orders | Cost |
|---|---|---|
| 2010 | 153 | $239.0M |
| 2011 | 252 | $155.3M |
| 2012 | 351 β¬οΈ Peak | $343.4M |
| 2013 | 234 | $306.9M |
| 2014 | 225 | $220.6M |
| 2015 | 171 | $100.1M |
| 2016 | 180 | $115.6M |
| 2017 | 90 β¬οΈ Low | $101.8M |
π‘ Insight: Clear correlation between cost per year and orders per year β lowest cost correlates with lowest order volume.
π‘ Typically, an increase in shipping days leads to a decline in revenue, while faster shipping boosts revenue. Exception observed in 2012β2013 where both rose simultaneously.
| Priority | Count |
|---|---|
| π΄ Critical | 378 |
| π‘ High | 513 |
| π Medium | 324 |
| π’ Low | 441 |
π Understanding Data
β
π§Ή Data Cleaning
β
ποΈ Data Modeling
β
π Data Analysis
β
π‘ Uncover Insights
| Role | Responsibility |
|---|---|
| CEO | Strategic direction based on sales insights |
| CFO | Revenue, profit, and cost analysis |
| COO | Operational efficiency & shipping |
| CMO | Marketing impact on sales & revenue |
- Consumers β Impacted by product availability, shipping times, and pricing
- β Capitalize on high demand in Sub-Saharan Africa & Europe
- β Conduct regional demand analysis to tailor products
- β Identify factors causing low profitability in India & North America
- β Improve online customer experience β product quality, shipping, pricing
- β Boost offline sales via targeted discounts & retention strategies
- β Expand Cosmetics line into new market segments
- β Investigate high costs in Office Supplies & Household
- β Reconsider Fruits strategy β new pricing, range expansion, or discontinue
- β Improve marketing for Baby Food & Clothes
- β Optimize delivery routes and leverage faster shipping methods
- β Reduce shipping times where averages are rising
- β Expand the delivery network
| File | Description |
|---|---|
Amazon Sales Dashboard.pdf |
Full 16-slide presentation |
Amazon Sales Dashboard.twb |
Tableau workbook file |
| Tool | Purpose |
|---|---|
| Dashboard & Visualization | |
| Data Source | |
| Project Report |
| Platform | Link |
|---|---|
| π§ Email | priyanshi1652001@gmail.com |
| πΌ LinkedIn | Priyanshi Rajput |
| π Peerlist | priyanshirajput |
| π GitHub | Data897analysit |
| π Tableau | Public Profile |
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Made with β€οΈ by Priyanshi Rajput