• Designed relational database, da modeling and profiling, create of table and view structure on MS SQL Server • Developed complex SQL code such as table-level check constraint, Triggers, computed columns, Indexes and Views • Utilized Tableau to create analytical dashboards pertaining to sales and retailer information making vital decisions and strategic planning of the system.

1. Online Retailing
System
INFO 6210 Team 1 Final Project Report​
Shu-Ya Hsu, Hung-Chih Huang, JunyaoLi,
JialinWang, Yangzi Xin, YiningChen​

2. 1 Business Problem
As a platform of Online Retailing System on Amazon,
the purpose of the database is to
• maintain data used for business managers to
purchase goods from vendors or ship directly from
inventory
• track orders’ shipment information
• check inventory value and provide customer
services. The database will be used by executive
managers, and business managers.​

3. Final ERD

4. ERD-Product
Information​

5. ERD-Purchase
Order Process​

6. ERD-Customer
Order Process​

7. We created 7 computed columns ​
• Calculate total price for Order Record and Purchase Order​
• Calculate total quantity for Purchase Order​
• Calculate net profit, Amazon Fee, and Vendor Price for Product
entity​
• Calculate the number of the returned order for each Customer​
• We can get all of them automatically based on the inserted
values.​
2 Computed Columns

8. Computed Column in Product

10. 3 Table-level CHECK Constraints for Inventory
• We created a function CheckNoInventory,
and use table-level CHECK constraint to
confirm that we have enough inventory
for each product.​
• To do that, we compare the ordered
product quantity with inventory product
quantity.​
• If the difference between inventory and
order product quantity is smaller than
zero, meaning the ordered quantity
exceeds the maximum amountin the
inventory, as a result, the system will
decline the insertion of that order.​

12. 4 Trigger for Decreasingand Increasing Inventory ​
• We Created a DML trigger to
update the product inventory
quantity. ​
• In the decreasing case, if a
purchase is made and the order
status from table order shipment
shows ’Ready’, the trigger will
decrease the product inventory
quantity accordingly.​

14. • We also created another
trigger to increase the number
of products in the inventory by
tracking the new insertion in
the TABLE Inventory_FBA
shipment.

15. 5 View of the Top Business Manager and Total Sales
• We created a view of business
managers’ ranking and the
total sales that they have sold. ​
• The view includes the rank of
sale values and business
manager information ​
• We used order records related
to the customer to calculate
sum of the total price.​

16. View of the Top Business Manager and Total Sales

17. View of the Popularity of Products
• We created a view to evaluate
the popularity of products.​
• We defined popularity based
on the number of products sold
and evaluate different
products.​
• We calculated the product
quantity of each product that
was purchased by customers.
The result listed popularity,
information of vendors and
total sales.​

18. View of the Popularity

22. Q&A?