After cleaning the dataset by using python, pulled the dataset on Tableau to see what information can be extracted which is helpful for marketing purposes. Thus, the following insights can be perceived from the graphs which are interactive.

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• ​Males have had more number of transactions than female's.

• Customers with married status are the ones with the highest number of interactions.

• Using mobile phone is the most popular way to put an order.

• Most of customers have spent less than 3 hours on our app to purchase from fashion category.

• In laptop & accessories category, most of customers have spent between 3 and 5 hours from start to finish their order.