TransOrg Analytics used various machine learning techniques to analyze customer lifetime value for an automotive company.
TransOrg Analytics developed comparative sentiment analysis of select models vs Competitors to the global manufacturing company
TransOrg Analytics developed Customer 360 and data analytics model for a global automobile manufacturer
TransOrg Analytics used market mix modeling to optimize its marketing strategy budget and allocation to ensure maximum ROI campaign.
TransOrg Analytics used classification-based machine learning model to analyze the data and developed a solution for client’s sales and marketing teams to prioritize leads to for targeted connect
TransOrg created an on-cloud customer datamart for a Fortune 50 automotive client and leveraged it to develop machine learning models and execute advanced analytics for various customer analytics applications
Auto Dealer Analytics and Customer Retention Strategies In today’s competitive automotive market, auto dealer analytics have become a cornerstone for maintaining profitability and ensuring customer satisfaction. With an increasing number of options available to consumers, retaining customers has never been more challenging. This is where customer analytics and churn prediction come into play, allowing dealerships…