Hit the accelerator and kick your digital transformation into the next gear. Leverage the power of real-time event streams to build smart cars, a connected supply chain and personalized consumer experience.
The traditional automotive business model is being challenged by fast-changing customer needs, autonomous and self-driving vehicles, pervasive connectivity, and environmental regulations. Data is key to your success but your legacy data infrastructure is slow, complex, and hinders transformation.
Confluent’s event streaming platform empowers organizations in the automotive industry to easily access data as real-time streams, unlock legacy data, and integrate data silos. With Confluent, you can deliver premium customer experiences, accelerate autonomous driving capabilities, develop new products and digitize your connected supply chain.
Reimagine Customer Experience. Engage Digitally. Drive Efficiencies. Future-Proof for Scale.
Use real-time information (e.g. traffic, weather, calendar, parking availability) to deliver personalized customer experiences in and out of the vehicle by personalizing in-vehicle and mobile applications. Re-engage in a timely manner by sending notifications to cross-sell and upsell relevant services. Consolidate data from various disjoined systems to get a complete unified view of customers to provide enhanced dealership and customer contact center experiences.
Perform data analytics in the car by analyzing data from various sensors in real-time on the edge. Accelerate development of autonomous driving features by aggregating data from multiple cars and analyzing big data sets in real-time. Ingest data and apply machine learning models at scale for predictions in real-time and model training.
Offer personalized premiums based on usage by collecting data in real-time. By collecting and analyzing vehicle usage and location data in real-time, enable usage-based car rentals. Ingest data from various sources to perform real-time tracking and management of fleet enabling new business models such as ride-sharing, delivery tracking, logistics, etc. Analyze real-time data in the car to perform remote diagnostics and alert customers for predictive maintenance.
Ensure inventory is updated in real-time by connecting all systems and applications across the supply chain (warehouse, trucks, factory, and storage) to have a real-time inventory of all parts for manufacturing facilities and dealers. Increase insight and visibility into operations by collecting data from various IoT devices and analyzing in real-time to detect problems early. Perform predictive maintenance, be proactive, not reactive and reduce downtime.
Accelerate application development, reduce operational burden and costs, fast track to the cloud and propel your businesses forward.
Démocratisez Kafka pour davantage de développeurs et accélérez la vitesse à laquelle ils créent des applications de streaming événementiel.
Minimisez la complexité opérationnelle tout en garantissant des performances et une évolutivité élevées à mesure que le streaming événementiel se développe dans votre entreprise.
Concevez l'architecture de la plateforme avec les attributs essentiels de l'entreprise nécessaires à l'implémentation du streaming événementiel dans la production.
Built by the original creators of Kafka, get Gold Support from the world’s foremost Kafka experts, who work directly with Kafka committers to assist you throughout the application development lifecycle.
Deploy Confluent Platform and MongoDB on any cloud, or stream across on-premises and public clouds; self-managed or fully managed in Confluent Cloud
Offload the burden of Kafka management, save on hardware, and automatically fine-tune your infrastructure to maximize efficiency and core business value.
As founders and original creators of Apache Kafka, we’ve extended Kafka to create a truly secure, resilient and compliant event streaming platform that’s available as both self-managed software and a fully managed cloud service.
Déployez-le en quelques minutes. Payez à l'utilisation. Faites l'expérience de Kafka sans serveur.
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