The ongoing transformations in the retail & ecommerce vertical have created the need for efficient data management among retail companies. The retail and ecommerce organizations need to manage the information on products across multiple departments, different portfolios, and varied prices. They also have to maintain large quantities of data entries made manually or through an automated procedure on a regular basis. In every retail organization, there is a wealth of information about supply chain, customers, internal operations, sales, and finances which when analyzed, can provide critical decision-making capabilities to drive operational efficiencies across the organization. In-memory analytics provide self-service, by which the retailers, who are not technically sound, can make use of visualization tools to monitor the outcomes of the analytics being carried out. Retailers need to analyze live data to order to improve efficiency. For instance, retailers have to segment products based on their demand, monitor their quantity in the warehouse, and inform the manufacturing unit or dealers in case of shortage. In-memory analytics help organizations reduce duplication and errors in data, purchase order discrepancies, and boost their time-to-market strategies. The ecommerce sector uses digital carts which have to process data in real time to avoid unnecessary wait time. The use of in-memory analytics can lead to faster response times, which is a driving force for the adoption of in-memory analytics in the retail & ecommerce vertical.