Planning & Analytics Solutions for Automotive Industry

The Automobile Industry is one of the early adopters of Big data. The automobile industry has benefited from big data analytics in terms of boosting sales and marketing efficiency. Today, the world has been transformed by technology innovation in the automotive industry, such as electric and self-driving vehicles. Every aspect of the automobile industry uses Big Data analytics, from optimizing production to improving customer service to automated servicing alerts.

It is crucial that automakers have access to data in order to benchmark their performance and make strategic business decisions. The use of data analytics enables companies to deliver better customer engagement initiatives, cost reduction efforts, high-quality car designs, improved customer retention rates, and agility and scalability in a competitive market. It outlines the evidence that automakers must analyze to understand the effectiveness of their decisions and operations.

• In support of production and development: The purpose of data scientists and engineers is to analyze large volumes of information in order to improve their development and production process.
• Marketing and sales analysis: Car dealerships and manufacturers use data analytics tools to develop customer relationships. Good customer relationships are essential for automakers to grow their market and customer base.
• Predictive analysis support: The automotive industry uses big data extensively for predictive analysis. Automakers can resolve customer problems by predicting them in advance.

Personalizing and targeting marketing and sales is another critical use of data analytics in the automotive industry. It is essential for automotive companies to understand the value of their customers' trust and loyalty, and utilizing data effectively allows them to provide an unparalleled customer experience. Furthermore, predictive analytics can help automotive companies to give real-time feedback to their customers and use that data to improve their services in the future.

With the aim of making the supply chain more agile and resilient, manufacturers will move toward a sentient supply chain; a supply chain that can sense, process, and respond in real time. Several areas within the supply chain can benefit from sensitivity, including asset and inventory management, insight, traceability, and analytics. For example, Sentient supply chains can recognize when inventory needs to be moved between factories and take the necessary actions or at least make recommendations.