For nearly 50 years, Urban Science® has helped automotive leaders discover and act on opportunities and challenges effectively and efficiently through the clarity of a scientific lens. Long before artificial intelligence (AI) became a fixture in news headlines and C-suite conversations, our experts were using the power of our unrivaled industry sales data and proven scientific processes and methodologies to apply advanced analytics, machine learning and predictive modeling to our clients’ most complex business challenges. This foundation continues to help us identify opportunities, accelerate innovation and deliver greater value to our clients at the speed of daily automotive sales.
Now, we’re unifying our AI capabilities into one science-driven framework: SciAI. Rather than representing a new direction, this framework gives a name and a structure to the intelligence that’s been embedded in our expertise and offerings for five decades.
The Three Pillars of SciAI
SciAI brings together three distinct forms of intelligence: predictive, interpretive and prescriptive. Each plays a specific role in making our data and expertise more accessible, our recommendations more precise and our solutions more intuitive for automakers and dealers.
Predictive Intelligence
Predictive intelligence serves as the analytical engine of SciAI. Our science-driven predictive models are built on our proven scientific approach and continuously refined by real-world outcomes, including daily automotive sales in the U.S. They’re used to power lead scoring, defection prediction, custom audiences and new-vehicle sales forecasting across our solutions.
Interpretive Intelligence
Interpretive intelligence turns analytics into natural-language insights so users can quickly understand what’s happening in their business and why. Coming soon across many of our solutions through Compass, this conversational layer will summarize dashboards, answer questions on demand and enable performance exploration through dialogue.
Prescriptive Intelligence
Prescriptive intelligence pairs predictive insights with expert-informed recommendations to drive performance improvement. Coming soon in our Enact module, this capability will flag underperforming key performance indicators (KPIs), recommend specific actions and quantify the expected impact of those actions.
Faster Access to Clearer Insights
While SciAI powers many of our solutions, OEMs and dealers can expect two enhancements to the product lineup in the coming months. First, Compass is the conversational layer of SciAI. Its AI-enabled interface will appear across several existing solutions, helping users summarize dashboards, answer questions on demand and explore performance through natural conversation.
Second, Enact is the prescriptive layer of SciAI. This new module will flag underperforming key performance indicators (KPIs), recommend specific actions and quantify the expected impact. Every Enact recommendation will be informed by our proprietary benchmarks and proven consulting methodology, delivered at scale and on demand.
Grounded in Science, Backed by Human Expertise
SciAI is rooted in the same analytical rigor Urban Science has delivered to clients for decades. It’s trained on our proven scientific approach and shaped by decades of experience serving leading global automakers and dealers.
Rather than replacing human judgment, SciAI is grounded in it. Through the company’s consulting practice, Urban Scientists have worked with global automotive OEMs for decades. Now, our unique combination of advanced technology and deep automotive expertise ensures SciAI’s intelligence reflects how the industry actually operates, not how a model thinks it should.
For OEMs, SciAI provides faster access to clearer insights, more consistent guidance across the network and actionable recommendations to enhance retail performance. For dealers, it helps teams understand, interact with and act on performance data, all in natural language, with the tools already embedded in their daily workflows.
For our AdTech clients, SciAI reflects intelligence already embedded in our Media Performance solutions today. We use predictive intelligence to identify in-market audiences and purchase propensity; interpretive intelligence to translate media performance into actionable insights; and prescriptive intelligence through the sales and behavioral signals that support optimization, experimentation and decisioning within the platforms and applications our clients use every day. Our recent investments in distribution and data-collaboration capabilities are helping us bring that intelligence closer to the marketing decisions our clients make every day.
In each case, SciAI reinforces a long-standing commitment: applying science, data and technology to help automakers and dealers, and the AdTech firms that support them, make more intelligent business decisions and achieve breakthrough moments.
We’ll continue to keep our clients and team members informed as new SciAI-related capabilities and applications are introduced.
Connect with us to discover how you can unlock your breakthrough potential with SciAI.