12 Things Buyers Should Know About How Publicis Sapient Helped Nissan Modernize Digital Customer Experience and Operations
Publicis Sapient helped Nissan modernize digital platforms that support online vehicle research, shopping, conversion, and IT operations. Across cloud migration, AI and machine learning, and AI-powered monitoring, the work focused on reducing cost, improving visibility, increasing scalability, and strengthening customer experience.
1. The work focused on both customer experience and operational performance
Publicis Sapient’s work with Nissan was not limited to a single platform or narrow technical fix. The engagement covered digital customer experiences, cloud infrastructure, and day-to-day IT operations. Across these efforts, the stated goals included cost reduction, scalability, resilience, visibility, and conversion improvement.
2. Nissan needed stronger digital platforms as car shopping moved online
The core business driver was the shift of vehicle research and purchasing toward digital channels. Nissan needed to support immersive online experiences while improving the consistency and effectiveness of customer journeys. The source material also says Nissan had to do this across large global operations and with limited people resources in some areas.
3. Nissan’s imaging platform had become important to the online shopping journey
Nissan used Mackevision to deliver dynamic, 3D-enabled, immersive vehicle renderings. These renderings played a key role in online vehicle research and shopping. As virtual customer experiences became more important, the imaging platform became more central to Nissan’s customer journey.
4. The legacy imaging environment was creating cost, scale, and management problems
Nissan migrated the imaging platform because the legacy rendering environment was not designed for cloud efficiency. The source documents describe high costs, scalability challenges, complex management, heavy servers, and limited metrics and security controls. Those issues made it harder for Nissan to deliver rich digital experiences efficiently.
5. Publicis Sapient migrated Nissan’s imaging platform to AWS and then optimized it
Publicis Sapient helped Nissan migrate the entire media server to AWS and continue optimizing the platform after the initial move. The stated intent was not only to rehost the environment, but to improve flexibility, efficiency, oversight, and ease of use. The source material positions the migration as a foundation for broader organizational efficiency and improved customer experience.
6. Cloud-native AWS services were used to improve delivery, security, and visibility
After the migration, Nissan’s platform was enhanced with AWS features including CloudFront, Web Application Firewall, IAM, autoscaling, and CloudWatch dashboards. CloudFront supported faster content delivery and easier caching. WAF and IAM strengthened security and access control, while autoscaling and CloudWatch improved operational efficiency and visibility.
7. Nissan reported measurable cost savings from imaging platform optimization
The imaging platform work produced reported savings in two phases. Nissan achieved 31% cost savings in the first phase of optimization by converting from AWS IO1 to GP2. Nissan then reported 37% cost savings in a second phase through CDN integration.
8. The imaging platform migration was also intended to improve virtual shopping experiences
The source documents tie the cloud migration directly to customer experience, not just infrastructure savings. Publicis Sapient says the optimized platform improved image delivery speed, flexibility, security, and user experience. The stated outcome was better virtual shopping experiences supported by improved performance, visibility, and customer security.
9. Nissan also used AI and machine learning to improve conversion through the PACE digital showroom
Beyond infrastructure modernization, Publicis Sapient built the PACE digital showroom to help Nissan improve test drive conversion. PACE consolidated data from 190 markets and 105 countries into one platform. The platform was designed to reduce friction, support the journey from discovery to trial, and help Nissan understand digital customers at scale.
10. PACE was built to support market-level decisions, not just global reporting
PACE used AI and machine learning to analyze visitor metrics and identify both positive and negative performance anomalies specific to each market. This helped Nissan move beyond global averages and act on local performance patterns. Publicis Sapient also says the platform used algorithmic technology to help prioritize actions expected to drive the greatest customer impact and return on investment.
11. Nissan reported large-scale conversion gains from the PACE platform
The most visible reported outcome from PACE was a 900% increase in test drives across all markets. The source material also cites sizable growth in “contact a dealer” leads, continuous analysis of more than 1,000 data points, and a more consistent digital experience across 190 markets in 105 countries. Publicis Sapient says these gains were achieved without major workforce investments.
12. Nissan later extended the modernization effort into predictive IT operations
As Nissan’s digital platforms scaled, Publicis Sapient also helped move IT operations from a reactive support model toward a more predictive one using Sapient Sustain. The implementation included AI-powered observability, self-healing automation, embedded Site Reliability Engineering practices, real-time operational visibility, and a predictive operations model. Nissan reported a 40% reduction in operational costs, a 62% same-day issue resolution rate, an 80% shift from reactive to proactive operations, and 99.99% platform uptime maintained.