Retail Ecommerce Project It includes sales analysis in different countries It considers each parameter contributing to sales It considers all aspects of sales and sales return

1. RETAIL E-COMMERCE PROJECT
Group No- II
Group Members-
Rishabh
Akshada
Arya
Abhishek

2. • What is Retail?
• Retail, by definition, is the sale of goods or service from a business
to a consumer for their own use.
• What is e-commerce?
• E-commerce is the buying and selling of goods and services over
the internet.

3. Month-wise Analysis (Sales)
Month On Month (MOM)
Growth (2011)
Jan -14.61%
Feb -22.25%
Mar 36.93%
Apr -26.21%
May 46.29%
Jun 1.33%
Jul -9.04%
Aug 6.99%
Sep 45.04%
Oct 7.55%
Nov 31.45%
Note: For Dec-11, Data available only for first 9 Days.

4. Month-wise Analysis (Sales)
• Observations & Insights:-
 Total Sales (Review Period) -> £9,345,482.8
 Best Performing Month -> Nov-11 ( £1,352,956.6 )
 Worst Performing Month -> Feb-11 ( £452,685 )
 Biggest slump in MOM Growth -> Apr-11 ( -26.21% )
 Positive MOM Growth for every month since Jul-11 (excluding Dec-11) depicts
continuous improvement in Sales Performance.
 Performance expected to be better than previous months in Dec-11 considering
regularly increasing trend and Christmas season.

5. Month-wise Analysis (Quantity)
Note: For Dec-11, Data available only for first 9 Days.
Month On Month Growth
(2011)
Jan 8.34%
Feb -25.71%
Mar 31.75%
Apr -19.44%
May 31.72%
Jun -0.85%
Jul 1.86%
Aug 6.03%
Sep 37.27%
Oct 9.06%
Nov 20.43%
Dec -57.05%

6. Month-wise Analysis (Quantity)
• Observations & Insights:-
 Total Quantities (Review Period) -> 51,16,534
 Best Performing Month -> Nov-11 ( 696,903 )
 Worst Performing Month -> Feb-11 ( 258,235 )
 Biggest slump in MOM Growth -> Feb-11 ( -25.71% )
 Positive MOM Growth for every month since Jul-11 (excluding Dec-11) depicts
continuous increase in Products sold.
 Performance expected to be better than previous months in Dec-11 considering
regularly increasing trend and Christmas season.

7. Time-wise Analysis (Sales)

8. Time-wise Analysis (Quantity)

9. Time-wise Analysis
• Observations & Insights:-
 Around 95% of Total Sales b/w 9 AM to 6 PM (Could be Working Time).
 Peak Performing Time b/w 10 AM to 11 AM and 12 PM to 1 PM.
 Slight decline in Performance around 1 PM to 3 PM could be due to Lunch Time.
 Biggest Slump observed b/w 11 AM to 12 PM which could be analysed further.

10. Country-wise Analysis (Sales)

11. Country-wise Analysis (Quantity)

12. Stock Code-wise Analysis (Sales)
y = 1.3748x + 805.91
R² = 0.4997
£0 K
£40 K
£80 K
£120 K
£160 K
£200 K
0 K 20 K 40 K 60 K 80 K 100 K
Sales Vs Qty (Stock Code)

13. Stock Code-wise Analysis (Quantity)

14. Description-wise Analysis (Sales)

15. Description-wise Analysis (Quantity)

16. Country-wise Analysis (Cancelled)

17. Product-wise Analysis (Cancelled)

18. Customer ID
Analysis

19. Topand BottomCustomer IDs Salesand Quantity-wise

20. Topand BottomCustomer IDs Salesand Quantity-wise

21. Insights:
• Highest Customer ID is 14646 → 3.31% to total
sales → Netherlands
• Top 10 Customer IDs → 18.11% to total sales
• Most of the lowest Customer IDs belongs to United
Kingdom with 0.0-0.1% contribution
• Highest Customer ID is 14646 → 4% for total
quantity → Netherlands
• Top 10 Customer IDs → 16.06% to total quantity
• Most of the lowest Customer IDs belongs to United
Kingdom with 0.0-0.1% contribution
Normal Orders
• Highest Customer ID is 16446 → 37.80% for total sales
return → United Kingdom
• Top 10 Customer IDs → 67.46% to total sales return.
Except one all returns belongs United Kingdom
• Most of the lowest Customer IDs belongs to United
Kingdom with 0.0-0.1% contribution
• Highest Customer ID is 16446 → 31.60% to total
quantity → United Kingdom
• Top 10 Customer IDs → 74.96% to total quantity
• Most of the lowest Customer IDs belongs to United
Kingdom with 0.0-0.1% contribution
Cancelled Orders

22. Invoice no. wise analysis

23. TopandBottom10 saleswiseinvoices(N.OandC.O)
Top 10 sales N.O
Bottom 10 most Cancelled orders
sales wise
Top 10 most Cancelled orders
sales wise
Bottom 10 sales N.O

24. Bottom 10 cancelled orders
Top 10 most cancelled orders
Bottom 10 invoices N.O
Top 10 invoices N.O
TopandBottom10 Quantitywiseinvoices(N.OandC.O)

25. DashBoards

26. DashBoards