Understanding customer behavior is key to staying ahead in the fiercely competitive automotive industry. Challenges like evolving customer preferences and intense market competition demand innovative solutions. Our data-driven insights empower automotive manufacturers, suppliers, and dealers to anticipate customer needs, optimize operations, and drive profitability.
Targeted data analytics can turn challenges like misaligned operations and a lack of innovation into opportunities. Companies can, optimize sales and marketing strategies, with a dynamic pricing solution. Self-service analytics drives customer-centric product development and enhances customer satisfaction. Additionally, customer feedback analytics boosts customer loyalty. We empower companies to elevate their capabilities and make informed decisions that drive success.
At T-Systems, we help companies in the automotive value chain utilize customer analytics solutions to transform vast data into actionable insights, enabling a deeper understanding of their customers.
Embrace the power of AI-driven pricing solutions for the automotive industry. Our price intelligence hub utilizes advanced machine learning and data analysis techniques to provide customized pricing recommendations tailored to your specific needs. Say goodbye to manual data processing and inconsistencies; let AI optimize your pricing strategy for success.
Price Intelligence Hub is a dynamic pricing solution developed by our international teams of data architects and data analysts. They have developed bespoke machine learning algorithms that assist automotive manufacturers in determining a variety of price types, from country-specific list prices for new cars, optimal wholesale prices for aftersales parts and accessories up to determination of personalized price quotations on new cars for end customers.
Our “Customer Feedback Analytics” provides faster and deeper insights through sentiment analysis, topic modelling, and argument-mining, analyzing unstructured feedback from YouTube, Instagram, and Facebook. It helps companies to extract relevant product feedback even before market launch. Also, provide insights about unsatisfied needs of competitor’s products in minutes. Thus, give an objective data foundation for product development decisions.
