Sales Data Analysis of Euromart (Using Power BI)


Univariate-Analysis
Univariate-Analysis

Univariate Analysis

Key Insights:

  • Total Sales: The dashboard indicates a total sales figure of 11.9M.
  • Country Distribution: France, Germany, and the United Kingdom appear to be the top-selling countries.
  • Customer Segment: Consumer segments contribute the most to sales, followed by corporate and home office segments.
  • Shipping Mode: Economy shipping is the most popular choice, followed by Economy Plus and Priority.
  • Product Category: Office Supplies is the highest-selling category, followed by Technology and Furniture.
  • Feedback: Feedback is generally positive, with 49.99% of customers providing true feedback.
  • Purchase Quantity: The average purchase quantity is 3 units per order.
  • Discount and Profit Margin: The dashboard shows discounts provided and profit margins achieved.
Identifying Top Performers
Identifying Top Performers

Identifying Top Performers

Key Insights:

  • Top Performers: The dashboard identifies the top-performing regions, countries, states, and cities based on profit margin and total sales.
  • Customer Demographics: The dashboard analyzes customer demographics and their purchasing behavior.
  • Product Purchase: It provides insights into product category and sub-category performance, as well as shipping mode preferences.
  • Profit Margin and Total Sales: The dashboard compares performance based on profit margin and total sales.
Address operational inefficiencies underperforming areas
Address operational inefficiencies underperforming areas

Address operational inefficiencies underperforming areas

Identifying and addressing underperforming areas within Euromart’s sales operations. It provides a detailed analysis of total sales and negative profit margins for the bottom-performing countries, states, and cities.

Key Insights:

  • Bottom Performers: The dashboard highlights the countries, states, and cities that are contributing the least to total sales and/or have negative profit margins.
  • Geographic Analysis: The visualizations offer a spatial representation of underperforming regions, allowing for easier identification and targeted intervention.
  • Profit Margin Analysis: The dashboard provides a breakdown of negative profit margins, enabling a deeper understanding of the underlying issues.
Optimizing Discounts & Shipping Modes
Optimizing Discounts & Shipping Modes

Optimizing discounts and shipping modes to improve profitability. It analyzes the relationship between profit margin, discount levels, and shipping mode choices.

Key Insights:

  • Profit Margin and Discount: The dashboard reveals the impact of discount levels on profit margin for different shipping modes.
  • Shipping Mode Analysis: It identifies the shipping mode that offers the highest profit margin at various discount levels.
  • Optimal Discount Levels: The dashboard suggests potential optimal discount levels for each shipping mode to maximize profitability.
Feedback Analysis
Feedback Analysis

Feedback Analysis

Customer feedback and its impact on sales and profit.

Key Insights:

  • Feedback Distribution: The dashboard shows that 49.9% of customers provided true feedback, while 50.1% provided false feedback.
  • Sales by Feedback: True feedback is associated with higher sales compared to false feedback.
  • Profit by Feedback: True feedback also leads to higher profit margins.
  • Product-Level Analysis: The dashboard identifies the products that received the most true and false feedback, enabling targeted improvement efforts.
Improving Product Mix
Improving Product Mix

Improving Product Mix

Comprehensive analysis of product mix and performance.

Key Insights:

  • Top-Selling and Loyal Customers: The dashboard identifies the top-selling products and customers with the highest purchase frequency.
  • Profitable Products and Categories: It highlights the most profitable product categories and individual products.
  • Selling Periods: The dashboard analyzes sales trends by week and quarter to identify peak selling periods.
  • Product Mix: It provides insights into order size distribution by product category and sub-category.
Suggestions
Suggestions

Summary

Based on the analysis, here are my key suggestions for Euromart to improve its business performance:

1. Identifying top performers

  • Suggestions:
  • Focus on top regions, increase marketing and promotional activities, logistics, and warehouses 
  • Segment-specific strategies, tailor marketing strategies for the consumer segment 

2. Understanding challenges

  • Suggestions:
  • Slowly expand the branches in under-performing countries to increase more reach to customers
  • Prioritize office supplies (highest profit margin) in underperforming areas to balance loss

3. Optimizing discounts & shipping modes

  • Suggestions:
  • Reduce the extent of discounts above 20% to improve profit margins
  • Promote immediate shipping(Highest margins in shipping mode)
  • Focus on promoting high-profit margin products

4. Leveraging customer feedback 

  • Suggestions:
  • Encourage more customers to provide feedback
  • Investigate products with no feedback and identify potential issues faced

5. Improving product mix

  • Suggestions:
  • Refine product mix, focus on promoting and expanding the office supplies
  • Re-look at the pricing structure of chairs and tables
  • Encourage larger order sizes, upsell and cross-sell complementary products
  • Run more promotions at high selling periods

6. Additional recommendations

  • Suggestions:
  • Data-driven decision-making, continuously monitor sales, profit margins, and adjust strategies accordingly
  • Develop loyalty programs to reward top customers
  • Streamline logistics and supply chain operations to reduce costs and improve delivery times, especially in underperforming regions
Venu Kumar M
Venu Kumar M