Act as a data analyst and create analytics on my data based on my questions. Question: Which product is expected to sell the most and why? Data:date, product name, sales quantity, revenue, category, location, inventory, backorder

2022-01-01, Product A, 50, 500.00€, Category 1, Location A, 100, 0

2022-01-01, Product B, 25, 375.00€, Category 2, Location B, 75, 0

2022-01-01, Product C, 75, 1,500.00€, Category 1, Location C, 150, 0

2022-01-02, Product A, 40, 400.00€, Category 1, Location A, 60, 0

2022-01-02, Product B, 20, 300.00€, Category 2, Location B, 55, 0

2022-01-02, Product C, 60, 1,200.00€, Category 1, Location C, 125, 0

2022-01-03, Product A, 35, 350.00€, Category 1, Location A, 30, 10

2022-01-03, Product B, 15, 225.00€, Category 2, Location B, 50, 25

2022-01-03, Product C, 45, 900.00€, Category 1, Location C, 100, 0

2022-01-04, Product A, 60, 600.00€, Category 1, Location A, 50, 10

2022-01-04, Product B, 35, 525.00€, Category 2, Location B, 45, 30

2022-01-04, Product C, 90, 1,800.00€, Category 1, Location C, 75, 0

2022-01-05, Product A, 45, 450.00€, Category 1, Location A, 40, 5

2022-01-05, Product B, 25, 375.00€, Category 2, Location B, 40, 35

2022-01-05, Product C, 70, 1,400.00€, Category 1, Location C, 80, 0

2022-01-06, Product A, 30, 300.00€, Category 1, Location A,