Natural Language Processing (NLP) is a technology to integrate the Human language to the Internet Experience. This technology brings in the ability for the computer program to understand human language in the way which it is said and understood. This is done by using the data which is abundantly available for analysis and processing. Search Engines like Google, Bing can play a key role in provisioning this data for NLP. Implementing NLP is a task in itself since Humans communicating or learning a new language is seamless for them but if we talk about Computers it can get quite complex and costly too. So to ease the effort of manual analysis Machine Learning and Artificial Intelligence to automate data analysis for Language Processed. There are multiple ways in which NLP is utilized by Retailers which are listed below: Semantics: The difficulty of learning a language for both humans as well as machines is done through continuous trial and errors. In case of Humans this relies on continuous practice whereas in Computers the “Practice” is done through Machine Learning utilizing highly complex algorithms to improvise on the learning cycle. Information Collection: With already existing RAW data available it’s crucial to also collect information from different sources like polls, emails, phone calls, messages to fine tune the NLP engine for accurate results. Text Recognition: Text recognition is the technique to convert the text entered by the User to Machine encoded text for the machine to decode results to the User. It gives the answer to the question rather than just search results. Customer Service Center Dynamics: Utilization of Chatbots, Automated Agents based on Voice commands, and also helps Customer save time on Purchases and improves Service Quality is assistance to the Human communication. With increasing use for NLP in the Industry, it provides In Depth Insights on business processes and transform the future of business operations.