It is always a good idea to generate some hypotheses before proceeding to any data science project.

We can separate this process into four levels: Product level, Store level, Customer level, and Macro level.

Product level hypotheses:

1. Brand: Branded products have more trust of the customers so they should have high sales.
2. Visibility in Store: The location of the product placement also depends on the sales.
3. Display Area: Products that are placed at an attention-catching place should have more sales.
4. Utility: Daily use products have a higher tendency to sell compared to other products.
5. Packaging: Quality packaging can attract customers and sell more.

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