We strongly believe after-sales in the automotive world shouldn’t start when breakdowns happen. It should quietly stay a step ahead, like someone is already looking out for you. So, we anticipate customers’ needs early and turn ownership into a relationship they choose to stay with.Â
Most profit sits in the aftermarket, yet nearly 60% of customers leave the authorised network once warranty ends not because they’ve lost faith in the brand, but because the ownership experience breaks down. Service turns opaque, engagement becomes reactive, and convenience disappears, reducing ownership to disconnected transactions. We close this gap through the Connected Ownership Loop, using real-time vehicle data to shift ownership from reactive to predictive anticipating, vehicle needs before warning lights or service calls. The result isn’t just better service efficiency, but protected lifetime value, stronger brand loyalty, and an aftermarket transformed from a leakage point into a growth engine.
It means protecting lifetime value, strengthening loyalty, and turning the aftermarket from a churn point into a growth engine.Â
The answer is simple, being with them at every turn.Â
Lease-End Retention Campaigns: Transforming contract expiry from a moment of risk into a structured renewal funnel, where timely, insight-led engagement converts endings into repeat purchases.
Usage-Based Upsell Targeting: The most effective upsell isn’t louder, it’s smarter. By listening to telematics and real-world usage patterns, we introduce enhancements at moments of genuine relevance, increasing adoption without friction.
Win-back Workflows: Customer drift is inevitable. Losing them doesn’t have to be. Smart win-back workflows use timely, personalised automated communication sequences to reopen the conversation, and restore the service relationship.
Lifetime Value (LTV) Modeling: Using AI-driven predictive analytics to move beyond past transactions, combining purchase and service behaviour to identify the customers whose future value makes them worth fighting for.
Social CRM: Moving from reactive monitoring to always-on listening, capturing real-time brand and service signals across social channels to respond early, personally, and at moments that shape perception
Service History Integration: Bringing complete service intelligence into the moment of trade-in, giving teams instant access to full-service records for valuations that are accurate, transparent, and trusted.
Triage Automation: Using AI-driven intelligence & analytics to assess service enquiries in real time, prioritising by urgency and complexity and routing each case to the specialist best equipped to resolve it.
Sentiment Analysis: Conversation intelligence detecting early signals of dissatisfaction so brands can step in early and protect relationships before their value is lost.
Loaner Fleet Branding: Extending the brand beyond the showroom, using clear design and quality protocols to ensure every service loaner vehicle reinforces consistency, credibility, and premium perception.
Vehicle Health Checks (Pre-sales): Embedding automated diagnostics into pre-owned test drives, giving buyers confidence in mechanical integrity before the conversation of sale even begins.
Driver Behaviour Risk Scoring: Using AI-driven analysis of real-world driving patterns to build dynamic risk profiles, enabling smarter insurance partnerships and more accurate warranty validation.
Automated Service Cycle Management: Multi-channel notification service triggering reminders based on predicted mileage and time, linking directly to booking.
Workshop Resource Scheduler: Intelligent allocation system aligning job complexity with technician expertise and workshop capacity.
Parts Demand Forecasting: AI & Analytics predictive models that forecast demand from upcoming bookings to keep spare parts available when needed.
Propensity to Book Modeling: Using AI to predict which service reminders will actually convert, focusing outreach on the moments and customers most likely to book.
Digital Vehicle Passport: Maintenance of a permanent, verifiable digital log of all service interventions to enhance residual value.
Warranty Registration Tracking: Lifecycle monitoring that tracks warranty start/end dates to ensure timely renewal reminders.
Recall Completion Analysis: AI & Analytics tracking and insights that measure how quickly and effectively customers respond to safety recalls.
F&I Elasticity Analysis: AI & Analytics measuring how price changes in insurance and finance products affect adoption rates.
Over-The-Air (OTA) Portal: Secure infrastructure enabling remote firmware updates and digital feature upgrades, without a workshop visit.
Gen AI Diagnostic Copilot: An intelligent assistant explaining error codes in plain language and guiding repairs using technical manuals.
Predictive Maintenance Modeling: AI & Analytics machine learning that monitors sensor and thermal patterns to predict component failures early.
Battery RUL Prediction: Forecasting spare parts demand from future service bookings to ensure availability.
Feature Unlock Subscriptions: Identifying high-intent owners using usage, driving behaviour, and tenure data, and activating in-vehicle or app-based offers for software-enabled features such as ADAS, performance modes, and infotainment upgrades.
Battery & Charging Subscriptions: Designing and activating battery-as-a-service, extended battery warranty, and charging plans using lifecycle insights, usage patterns, and automated renewal and upgrade journeys.
Connected Services & Digital Packs: Driving adoption of connected services such as navigation, diagnostics, remote controls, and safety features through personalised campaigns, in-journey prompts, and CRM-led engagement.
Trial-to-Paid Conversion Programmes: Running structured trial journeys supported by usage tracking, automated reminders, value-led messaging, and assisted conversions through digital and CX channels.
Subscription Retention & Win-Back: Using behavioural, service, and experience signals to identify churn risk early and trigger targeted retention, pause, downgrade, or win-back journeys to maximise subscription lifetime value.
The Challenge: OEMs lacked systems to detect early component faults, leading to high warranty costs and poor service experiences.
The Solution: An Agentic AI system that analyses telematics and ECU logs to predict issues early and autonomously schedule service.
The Impact: 25–30% significant reductions in unexpected breakdowns, with +15–22% strong gains in service retention.
The Challenge: Service reminders saw low response rates and relied heavily on costly manual follow-ups.
The Solution: Automated journeys that adapt content and messaging by channel, guided by vehicle history.
The Impact: A 26% increase in reminder-to-booking conversions, with manual follow-ups reduced by 40%.
Always-on vehicle intelligence that securely captures and processes IoT data to power diagnostics, alerts, and proactive service.
A unified workshop ecosystem where diagnostic tools and central systems work as one to streamline service.
AI-driven assistance that manages service requests end-to-end, ensuring faster responses, fewer escalations, and better ownership experiences.