We go beyond dashboards to build a predictive nervous system. By unifying manufacturing, sales, and service data, we help organisations make decisions based on what’s likely to happen next, not just what already happened.
Customer data lives in the CRM. Vehicle data lives in the cloud. Financial data lives in the DMS. So, how are real-time data pipelines reshaping automotive decision-making?
Yes, and not to simply aggregate information, but activate it. Our agentic AI models turn fragmented data into forward-looking intelligence, predicting what customers and fleets will do next.
Predictive Lead Scoring: AI/ML models that analyse digital behaviour, demographics, and past interactions to assign a conversion score to every lead.
Attribution Modeling: End-to-end ROI measurement that accurately attributes returns across digital and traditional channels.
Lookalike Audience Generation: Algorithms that identify new digital segments that statistically mirror the characteristics of your best existing buyers.
AI-Powered Ad Bidding: Programmatic budget optimisation that continuously reallocates ad spend to maximise ROAS.
Propensity to Convert: Opportunity scoring systems that assess the likelihood of a prospect moving from enquiry to booking.
Sentiment Analysis: Unstructured data insight engines that use NLP to analyse the tone of customer text and calls to flag dissatisfaction.
Optimal Contact Analysis: AI-driven insights that identify the best day and time to reach each customer.
Pipeline Anomaly Detection: Real-time alerting systems that flag bottlenecks, stalled opportunities, and unusual drop-off rates in the sales funnel.
Driver Behavior Risk Assessment: Analysis of telematics data during the test drive to generate a driving safety score, informing insurance structuring.
Test Drive Impact Analysis: Statistical modeling that measures the impact of test drives on purchase decisions.
Demographic Fit Validation: Statistical analysis of customer demographics interacting with specific vehicle models.
Demand Forecasting: Predictive analytics that accurately forecast future market demand to optimise production and inventory.
Propensity to Book: Commitment prediction systems that calculate the final probability of a customer closing the deal after receiving a quote.
Canceled Order Analysis: Root-cause analysis of customer attrition across finance, delivery, and communication.
Competitor Pricing Intelligence: Aggregation and analysis of competitor pricing and feature data to maintain optimised pricing strategies.
Profit Margin Optimisation: Detailed analysis of deal structures (discounts, financing, trade-ins) to identify the highest possible profit margin for each sale.
F&I Elasticity Analysis: Measurement of how changes in the price of finance and insurance products affect adoption rates.
Demand Sensing: Launch strategy models that process market signals to predict initial purchase intent for new vehicle models.
Fraud Detection: Transactional security monitoring systems that continuously analyse data to flag suspicious financial activity.
Lifetime Customer Value (LTV) Calculation: Predictive models combining purchase history and service spending to identify high-value versus at-risk segments.
Battery RUL Prediction: Predictive models estimating battery health and longevity under real-world conditions.
Service Propensity Model: Retention risk scoring that predicts the likelihood of a customer abandoning the authorised service network.
Recall Completion Analysis: Tracking and reporting on the effectiveness and speed of customer response to mandatory safety recalls.
The Challenge: Sales teams wasted time on low-quality leads.
The Solution: AI-based intent scoring.
The Impact: +22–30% conversion uplift.
The Challenge: Weak customer lifetime insights.
The Solution: Predictive lifecycle modelling.
The Impact: 10–18% churn reduction.
Insight only matters if it leads to action. Our agentic AI closes that gap; monitoring signals, prioritising issues, and triggering service automatically.
Eliminate data silos. Our unified data lake brings operational and customer data together to enable advanced modeling and enterprise-wide insight.
Intelligence only works if it stays current. Our real-time scoring engine learns from every new signal, sharpening targeting, prioritisation, and outcomes as conditions change.