IndexThe Rise of Analytics in the Retention IndustryWhat analytics tools are best suited to the retail industry?Analytics designed to address social media as a toolPersonalized PromotionsIn the modern retail industry Retail consumers are the main drivers of change in this industry, the entire decision-making process has become more sophisticated and complex than ever. The objective of this research analysis report is to find appropriate suggestions to the most commonly faced and troubling questions faced by retailers and what is the best course of action that can be taken to achieve profitability in the retail industry and how support your retail business in this digital age, the most common questions include: “Say no to plagiarism.” Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay) Identifying valuable consumers and strategies to retain them) What kind of pricing should a company generally offer to maximize its profits?c) How to target potential customers in future campaigns?d) What are the methods of inventory assessment and inventory management to be taken so that a company can cope with the possibility of running out of stock or measures to be taken so that excess stocks are not maintained There is some uncertainty in this retail business, especially in unorganized retail business models. The key to solving such complex business challenges lies in the efficient and effective way of using modern technological methods with the help of data analytics, a key discipline that involves extensive use of data and statistics with the help of machine learning to reveal the valuable insights that help the business thrive and these can be a valuable tool to help business in decision making The Rise of Analytics in the Retainer Industry The practice of using analytics in the retail industry is started from simple mining techniques such as in IT programming language of SQL queries which would simply contain the subset of interests which are filtered from the main database which for example we can understand as in a small scale retail store using the computer entries of each customer with the help of this software could show the details of the revenue that the unit has generated from its top 10% of buyers every month. But since the cloud-based POS system came into use, along with advances in mobile technology and the excessive use of social media by millennials, has led to exponential growth in the volume of data being generated and stored at organizations of retail. The field of retail analytics that uses statistical tools and machine learning algorithms to discover patterns in data to predict future outcomes has become a possibility. For example, a simple regression analysis can be used on demographic data and the connection with the pattern of their past purchasing behavior can be used as a vital tool in how their respective propensities to respond to a future campaign. The fact that these insights are based on hard numbers makes analytics a very powerful tool for improving objectivity in decision making. What analytical tools are best suited to the retail industry? Given the wide range of analytical practices followed in the industry, it is not possible for any retailer to pursue all available options with the same thoroughness. This makes the selection of.