Solera Introduces AI Engine for Dealer Solutions, Accelerating AI-Powered Innovation Across Retail Automotive

Purpose-built AI infrastructure connects dealership data, orchestrates workflows, and speeds innovation across sales, service, marketing, operations, and connected vehicle solutions

WESTLAKE, Texas — Solera, the global leader in vehicle lifecycle management, today announced the Solera AI Engine for Dealer Solutions, a cloud-native intelligence layer purpose-built to accelerate AI-powered innovation across retail automotive. Unlike conventional approaches that layer AI features onto legacy systems, the Solera AI Engine is an infrastructure-first capability embedded directly into the Solera Cloud Platform, working to connect dealership data, orchestrating cross-product workflows, and enabling the company to move new dealer-facing solutions from concept to production on dramatically shortened timelines.

The announcement marks a strategic shift in how retail automotive software is developed and delivered. By investing in shared AI infrastructure rather than isolated point features, Solera is positioning its Dealer Solutions pillar to deliver continuous, compounding intelligence gains to OEMs, dealer groups, franchise rooftops, and independent dealers seeking better visibility, faster execution, and stronger customer lifecycle performance.

“The automotive industry doesn’t need more AI features bolted onto disconnected tools. It needs intelligent infrastructure that makes the entire ecosystem work better together,” said Alberto Cairo, Chief Financial Officer and Managing Director at Solera. “The Solera AI Engine is that infrastructure. It connects the data, automates the workflows, and gives us the speed to build what our customers need – when they need it.”

Across retail automotive, dealerships and OEM partners are managing increasingly complex technology environments. Sales teams, BDCs, service advisors, F&I leaders, marketers, and operations staff often work across disconnected systems for CRM, DMS, websites, marketing, inventory, service scheduling, titling, payments, and connected vehicle services.

That fragmentation creates operational drag across the store and across the enterprise, costing time through rekeying and duplicate work, money through overlapping vendors, and margin through missed handoffs and incomplete customer visibility. AI layered on top of that fragmentation inherits the same limits. The Solera AI Engine was built to help remove those barriers inside the workflows dealers and OEMs depend on every day.

Three Foundational Layers of the Solera AI Engine

The Solera AI Engine is built on three integrated layers designed to support intelligent systems at enterprise scale for modern dealership operations:

1. A Unified Dealer Cloud Platform

Solera’s cloud platform connects dealership solutions across the retail customer lifecycle, from marketing and lead generation to desking, service retention, titling, payments, and connected vehicle engagement. This shared cloud infrastructure enables continuous updates, remote deployment, and faster rollout of dealer-facing innovation across rooftops and dealer groups than traditional software models allow.

2. A Proprietary Automotive and Dealership Data Foundation

At the core of the AI Engine is one of the largest automotive data ecosystems in the world, enriched by signals from dealer sales activity, service operations, claims, vehicle repair, parts, and connected vehicle interactions. That foundation gives Solera the context to build intelligent systems that understand how dealerships actually operate, helping teams make better decisions across acquisition, conversion, retention, and fixed operations.

3. An Orchestration Layer for Dealer Workflows

The AI Engine connects signals across the platform and applies intelligence directly inside dealership workflows. Rather than functioning as isolated AI tools, it can help prioritize leads in DealerSocket CRM, support faster service response and scheduling, surface insights across marketing and website activity, improve operational coordination inside DMS and titling workflows, and extend intelligence into connected vehicle and retention use cases. The result is AI that works across the dealership instead of inside disconnected point solutions.

Speed as a Competitive Advantage

The most immediate impact of the AI Engine architecture is development velocity. Historically, building a new retail automotive software capability required integrating multiple vendors, coordinating across disconnected dealership systems, and managing multi-year release timelines. With a shared cloud infrastructure and AI-enabled data layer, those timelines compress dramatically.

Solera has delivered enterprise class applications on dramatically shorter timelines, compressing development cycles by an order of magnitude or more. That acceleration allows the company to prototype rapidly, test new capabilities in real-world retail automotive environments, and collaborate with dealers and OEM partners through rapid, iterative product development cycles.

Practical AI Across the Dealer Solutions Portfolio

Every AI capability within the Solera AI Engine must connect to a real operational workflow. If it does not improve how work gets done for the user, it does not belong in the platform. This discipline ensures AI shows up in practical ways that deliver measurable impact across the Dealer Solutions portfolio.

That includes faster lead engagement and prioritization in CRM, stronger marketing and website coordination, more connected service scheduling and retention workflows, smarter inventory and operational decision-making, and tighter alignment across DMS, titling, payments, and connected vehicle solutions such as LoJack. For dealers and OEMs alike, the opportunity is not another standalone AI tool. It is a more connected, more responsive, and more intelligent retail platform.

A Stronger Platform for Dealers and OEMs

Retail automotive is increasingly shaped by the quality of the systems connecting customer acquisition, sales, service, finance, compliance, and retention. Solera’s Dealer Solutions is designed to help dealerships thrive with a unified, cloud-based ecosystem built for modern automotive retail, bringing together CRM, marketing and websites, cloud DMS, service workflows and digital inspections, inventory management, titling, reporting, and connected vehicle solutions like LoJack into one connected platform.

The Solera AI Engine strengthens that vision by making the platform faster to evolve, easier to unify, and better able to deliver intelligence where dealer teams already work. Rather than adding more tools to the stack, the AI Engine helps reduce complexity while improving how dealerships and OEM partners operate – reinforcing Solera’s commitment to helping retail automotive customers thrive.

Dealers, OEMs, and partners interested in learning more about the Solera AI Engine for Dealer Solutions can contact a Solera representative or visit www.dealer.solera.com.

About Solera Dealer Solutions

Solera helps dealerships thrive with a unified, cloud-based ecosystem built for modern automotive retail. Through this modern cloud platform, Solera connects the tools dealers rely on to acquire shoppers, close deals, and keep service lanes full—without the vendor overload and data silos that drain time and margin. The Solera Dealer Platform brings together DealerSocket CRM, AutoPoint marketing, cloud DMS, service workflows and digital inspections, inventory management, titling, reporting, and connected-car solutions like LoJack. Backed by Solera’s automotive data, teams gain actionable insights to improve profitability, retention, and compliance. Shared data and automation give every department clearer visibility and faster, more consistent execution—from lead to delivery to lifetime retention. The result is smoother operations, better customer experiences, and performance that can scale across one rooftop or an entire group. For more information, visit www.dealer.solera.com.

Media/Press Inquiries

Contact: Earl Brown | Solera
[email protected]