Data analytics for the retail industry is gaining momentum to stay abreast of the latest shopping trends by unearthing, interpreting and taking actions on meaningful data insights. Customer analytics plays a key role here to analyze various retail data points such as in-store, online, social media, mobile and more. Retailers are using predictive analytics to understand customers better.
Sigmoid’s retail data analytics practices help retailers develop intelligent machine learning models for retail enterprises, as well as set up, improve and manage big data infrastructures. Data analytics in retail therefore enables accurate identification of products that customers are likely to buy.