Artificial Intelligence for the Front Office

With multiple systems and workflows involved, selling a car is complicated. AI is rapidly changing the automotive retail landscape, and CDK integrates AI seamlessly and responsibly to enhance existing workflows — including the Front Office.

Increased Efficiency

Free up your staff for high-value tasks and enable your Sales teams to be more productive.

Simplified Lead Management

Streamline the process of identifying, qualifying and following up on leads, while increasing conversion opportunities.

Enjoyable Customer Experience

Give customers quick, personalized, relevant responses to their inquiries — regardless of the time of day or how busy the dealership is.

67 appointments in three months just made by AIVA. Out of the 67 appointments, 45 of them showed, and 32 sold. Those are good numbers. That's just by AIVA doing it. There was no human interaction.

Zac Casey • Regional VP, McGovern Automotive Group

AIVA is a virtual assistant that is just helping the agents create more traffic in the showroom, to create more appointments, sell more appointments, sell more cars.

Kaylene Brunelle • Regional BDC Mgr., McGovern Automotive Group

We’ve seen the percentages that we want — closing percentages, appointments-set percentages — go up.

Zac Casey • Regional VP, McGovern Automotive Group

Drive Front Office Efficiencies with AI

AI Summary

AI Summary gives sales representatives what they need at a glance—critical insights from complex data, summarized into easy-to-read, actionable points for faster responses and smarter follow-ups.

AIVA (Artificial Intelligence Virtual Assistant)

Helps dealers provide quick, personalized, conversational responses to consumers in real time for an enjoyable consumer experience and provides a consistent, automated lead follow-up process.

AI-Assisted Equity Mining

Predictive modeling provides dealers a marketing list of opportunities with a scoring model of propensity to buy based on multiple data points and customer-specific purchase cycles.

Streamlined Customer Data

Combine customer information across multiple systems through machine learning, improving data hygiene and forming a more complete picture of your customers.