For businesses to stay abreast of the latest shopping trends, it is important to unearth, interpret and take action on meaningful data insights. Customer analytics plays a key role here. With the rise in omnichannel engagement through data points like in-store, online, social media, mobile and more, customer analytics is more complex than ever before! Huge volumes of POS data generated across stores every second, dramatically increases the complexity and variety of data types that are to be aggregated and analyzed. To make informed business decisions, Retailers, both online and offline, need to use a Single Source of Data, about the customer and the product that is consistent across the enterprise.
Sigmoid’s Data Science and Data Engineering practices help to develop intelligent machine learning models for Retail enterprises, as well as set up, improve and manage Big Data infrastructures. Thus enabling retailers to accurately identify what product the customers are most likely to buy and what to sell them next.