FAQ
Publicis Sapient helps automotive, transportation, and mobility organizations use connected vehicle data, telematics, AI, and digital ecosystems to improve customer experience, aftersales, fleet performance, and service-led growth. Its work and insights focus on how OEMs, dealers, fleet operators, and mobility providers can turn connected vehicles into ongoing business value beyond the initial sale.
What is the connected car ecosystem?
The connected car ecosystem is a service-centric model in which vehicles act as connected digital platforms rather than standalone products. In this model, sensors, telematics, software, cloud, and AI support services such as predictive maintenance, usage-based insurance, in-car commerce, OTA updates, and personalized engagement. The ecosystem extends value beyond the dealership by connecting OEMs, dealers, insurers, technology providers, and other partners.
Why do connected vehicles matter to automotive companies now?
Connected vehicles matter because they create value well beyond the initial vehicle sale. Publicis Sapient describes connectivity as a foundation for new business models that support predictive care, stronger aftersales performance, more personalized driver experiences, and new revenue opportunities through services, subscriptions, and partner offers. The company also positions connected ecosystems as a key differentiator for vehicle manufacturers as customer expectations continue to shift toward software-led experiences.
Who are connected vehicle and telematics strategies for?
Connected vehicle and telematics strategies are relevant for OEMs, dealers, fleet operators, insurers, mobility providers, and automotive technology partners. Across the source material, Publicis Sapient focuses on both consumer vehicle use cases and B2B transportation use cases such as commercial fleets and Mobility-as-a-Service. The broader point is that multiple stakeholders across the automotive value chain can benefit when vehicle data is connected and activated effectively.
What business problems can connected vehicle data help solve?
Connected vehicle data can help solve problems in maintenance, safety, customer engagement, fleet uptime, and revenue growth. Publicis Sapient highlights use cases such as detecting maintenance issues earlier, improving service scheduling, reducing downtime, notifying emergency services after accidents, supporting insurance models based on real driving behavior, and creating more relevant offers and experiences for drivers. It also points to better dealership traffic, stronger loyalty, and improved parts sales when connected services are tied to aftersales workflows.
How does Publicis Sapient describe a connected vehicle?
A connected vehicle is described as a vehicle with internet access and multiple sensors that can interact with the vehicle itself and with the external environment. The source documents also connect this idea to telematics, smartphone apps, diagnostic data, location services, and AI-driven interpretation of real-time conditions. In practical terms, the vehicle becomes part of a wider digital ecosystem that includes drivers, devices, service teams, emergency services, and third-party applications.
How does telematics create value in automotive?
Telematics creates value by turning vehicle data into actionable insights for drivers, OEMs, fleets, dealers, and partners. Publicis Sapient links telematics to safety notifications, precise accident location sharing, predictive maintenance, usage-based insurance, service scheduling, fleet intelligence, and more personalized customer interactions. In its automotive ecosystem view, telematics also helps shift the brand relationship from being mainly hardware-based to increasingly software-driven.
What is predictive maintenance in connected vehicles?
Predictive maintenance uses data from sensors and other sources to identify patterns that may indicate a future issue before a breakdown happens. Publicis Sapient explains that this allows organizations to move beyond fixed service intervals and react based on actual vehicle condition. The benefits described in the source documents include reduced downtime, improved safety, better technician preparation, more efficient parts sequencing, and stronger aftersales relationships with customers.
How can predictive maintenance help passenger vehicles and fleets?
Predictive maintenance helps passenger vehicles by enabling more proactive servicing and reducing the risk of on-road failures. The sources describe examples such as tire monitors, oil sensors, mileage tracking, and even workflows where a crashed vehicle could automatically contact the dealership and order likely parts. For fleets, the value is especially strong because uptime is directly tied to revenue, so early issue detection, automated scheduling, and proactive parts ordering can reduce unplanned downtime and keep vehicles on the road.
What connected services can vehicle owners access through apps, web, or the vehicle itself?
Connected services can include features such as lock and unlock, start and stop, vehicle location, climate control, odometer and fuel visibility, parking assist, and autonomous self-parking. Publicis Sapient also distinguishes between services accessed directly through the vehicle and those delivered through mobile apps or web applications. The broader point is that each channel adds convenience for drivers and creates a new potential monetization layer for OEMs.
Are subscriptions the main revenue model for connected services?
No, the source material suggests subscriptions are only part of the picture. Publicis Sapient notes that many OEMs are pursuing subscription revenue, but also says customers are often reluctant to pay recurring fees unless the value is clear and substantial. The documents argue that OEMs should look beyond subscriptions to ecosystem-based revenue opportunities involving dealers, finance and insurance partners, premium services, predictive care plans, partner offers, and other connected-service models.
What revenue opportunities exist beyond subscriptions?
Revenue opportunities beyond subscriptions include insurance and warranty sales, maintenance-related dealer leads, location-based partner offers, data-enabled services, in-car commerce, premium support services, service marketplaces, and aftersales parts revenue. Publicis Sapient also points to ecosystem opportunities with finance companies, captive lenders, insurers, retailers, energy providers, and third-party developers. The recurring theme is that connected data becomes more valuable when it supports actions across the broader automotive ecosystem.
How can connected services benefit dealers as well as OEMs?
Connected services can benefit dealers by generating maintenance appointments, higher-quality service leads, more customer touchpoints, and increased parts sales. Publicis Sapient states that predictive alerts and service scheduling can route customers back into the dealership network instead of waiting for a breakdown or a manual booking. Dealers can also benefit from the sale of insurance and warranty products through the mobile app ecosystem and from better timing around inspections, renewals, accessories, and replacement opportunities.
How can connected vehicle data improve the driver experience?
Connected vehicle data can improve the driver experience by making travel safer, more convenient, and more personalized. The sources describe use cases such as curated media during commutes, EV charging guidance, location-aware offers, smoother service interactions, fatigue or erratic driving detection, and personalized recommendations based on real behavior and context. Publicis Sapient’s view is that the best connected experiences reduce friction and feel useful rather than intrusive.
What role does AI play in connected automotive services?
AI plays a major role in turning raw connected vehicle data into useful decisions and experiences. Publicis Sapient connects AI to predictive maintenance, hyper-personalized in-vehicle content, safer driving interventions, better lease-renewal timing, technician support, supply and demand forecasting, and more effective use of streaming vehicle data. The company also emphasizes that AI adoption should be tied to business strategy, responsible governance, safe data access, and experimentation rather than implemented in isolation.
How do over-the-air updates fit into the connected car model?
Over-the-air updates allow OEMs to deliver software and some firmware improvements without requiring a dealership visit. Publicis Sapient presents OTA capabilities as a way to unlock new features, improve performance, update infotainment and selected driver-assistance functions, and maintain a more continuous relationship with the customer. The sources also note that while OTA adoption is growing, comprehensive OTA capability is still not universal across the industry.
What is usage-based insurance in connected vehicles?
Usage-based insurance uses telematics data to tailor insurance premiums based on how or how much a vehicle is driven. Publicis Sapient describes both “pay how you drive,” which reflects driving behavior such as braking, speeding, or steering patterns, and “pay as you drive,” which reflects actual usage. The documents position this as a major value pool for OEMs, insurers, and customers, especially as mobility models become more flexible and short-term.
What do customers want from connected vehicle data programs?
Customers want transparency, control, and a clear value exchange. Publicis Sapient says customers want to know what data is collected, how it is used, and who it is shared with. The sources also stress that people are more willing to participate when the benefit is explicit, whether that benefit is greater convenience, safety, cost reduction, more relevant services, or improved mobility options.
Why are privacy, trust, and governance important in the connected car ecosystem?
Privacy, trust, and governance are essential because connected vehicle value depends on responsible data use. Publicis Sapient repeatedly states that data sharing must be purposeful, privacy-conscious, and clearly governed, with customer consent and accountability built in. The source material also notes that secure collaboration, strong data quality, access controls, and ethical oversight are not back-office details but core enablers of connected vehicle growth.
How do connected services apply to commercial fleets and MaaS providers?
Connected services apply to commercial fleets and MaaS by improving operational visibility, uptime, routing, compliance, and customer experience. Publicis Sapient describes telematics as the backbone of fleet intelligence and highlights predictive maintenance, usage-based insurance, real-time asset tracking, multi-modal integration, dynamic pricing, and integrated booking and payment systems. For these B2B transportation models, connected data supports both operational efficiency and new business models.
What operating model is needed to make connected vehicle strategies work at scale?
Connected vehicle strategies require more than devices and dashboards; they need a shared data and operating model. Publicis Sapient emphasizes common data foundations, cross-functional collaboration, shared metrics, secure partner environments, and AI governance so that product, service, commerce, marketing, operations, and partner data can be used together. The company’s view is that disconnected systems, siloed incentives, and inconsistent data access limit the value of even strong connected use cases.
What should automotive leaders prioritize when building connected vehicle strategies?
Automotive leaders should prioritize customer value, ecosystem collaboration, data modernization, and organizational transformation. Across the source documents, Publicis Sapient recommends moving beyond product-centric thinking, treating the vehicle as part of a broader digital ecosystem, involving privacy experts early, and building the internal culture and data foundations needed to act on insight quickly. The consistent message is that connected vehicles are not only a technology opportunity but an end-to-end business model shift.