Retail-

Big Data in Retail Analytics utilizes a large volume of data to reveal patterns and trends in customer purchases to optimize pricing, supply chain movement and improve customer loyalty. Retail Data Analytics also enables companies to create customer recommendations based on their purchase history, resulting in personalised shopping experience and improved customer service

Forecast trends and make strategic decisions based on customer analysis.

Location-centric data analytics also helps in tracking the purchase behaviour of customers and enables push notifications to mobile devices.

The top use cases where Big Data can help the Retail Industry are

Shopping Insights

Intuitive dashboard that reveals shopping behaviour of customers



Retail Inventory Management

Use Modern Retail Analytics Programs to accurately predict demand of stock items

 

 

Grocery Ad Personalization

Deliver personalised ads and communication based on each customer’s shopping preferences

 

AI in Retail

With the growth of the ecommerce sector, Big Data Analytics in Retail Market can help improve performance of your online stores and generate more revenue

Take the next step

Our data experts run a series of consultations with your organisation to help understand your existing data processes and requirements. They translate the task into a concrete problem, figure out which data analysis services will be best suited to solve your problem and then form a comprehensive strategy to give a perfect solution to the task at hand.