Turning Data Insights into Profits

A retail business was manually addressing the concerns of their customers and trying to make sales offline through their stores through face to face interactions.

Understanding customer preferences was getting increasingly harder with processing increasing volumes of data in excel. These processes were wasting a lot of time while limiting the business’s ability to develop strategies to increase sales and improve customer engagement.

By using artificial intelligence, they interpreted massive amounts of unstructured and raw data, and found previously hidden insights. They used this new knowledge to understand their customers better and identify opportunities for higher profits.

AI also helped the business to automate mundane and time-exhausting data analysis tasks with more time for staff to focus on strategy.