Online Retailing Database System on Amazon
- 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
- 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?