Machine learning helps the organization to find the limitations and to develop higher interaction with the existing customers. This helps the organization to identify the things that could increase the customer satisfaction level. The concept of machine learning and its effect on the process of business development. The inputted data of the ML are related to the business data and it helps to analyse the upcoming situation of the existing market. Primary and secondary data collection methods have been applied. Quantitative process like SPSS has been used and qualitative analysis has helped to increase the knowledge of machine learning and its utilization in businesses. The steps of the customer interaction in the business model that help to understand the mechanism of sales. The steps of machine learning have represented for better understanding of the ML processes. Google use ML for customer interaction, Apple uses innovation technology to increase interaction and satisfaction level of the customers, and Microsoft use the hybrid approach to provide better product and services to customers. Quantitative and qualitative analysis has been done for a better understanding of the result. The implementation of ML helps businesses to interact with customers. This increases the successive factors of the businesses. The implication of ML is appreciative as these analyses all the business conditions as per data and represents the results based on the algorithm analysis and computerized technology.