In recent years, the recommendation system has been used extensively in many fields such as Amazon, YouTube, Netflix, and others. Therefore, this project suggests using recommendation engines in banks and financial services to solve the problem of many people who do not know how to manage their income. This project uses recommendation technologies with input data as last month’s bank statement to get recommendations as to what one’s overspending on (as opposed to other users). The goal of this project is to help these people managing their income based on knowing the customer’s behavior and providing appropriate recommendations to each customer and suggests highly and efficient results to save their money.