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
- Data Collection through loyalty programs and credit card transactions
- Recommending items based on past customer data
- Personalizing customer experience
- Forecasting demand based on weather and other factors
- Using consumer spending analytics to determine local demand of various geographical locations
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.