DealerCortex AI - Automotive Intelligence
Connected marketing, inventory, CRM, customer-conversation, and call data to AI-driven dealership recommendations and business outcomes.
- Marketing data integration
- Google AdsMarketing data integration
- Dealership data context
- CRM + inventoryDealership data context
- Recommendations tied to business outcomes
- AI-drivenRecommendations tied to business outcomes
DealerCortex AI connects dealership marketing activity, customer interactions, inventory, and business performance. Tijani's documented contribution includes AI-powered automotive workflows, Google Ads and analytics integrations, CRM and inventory connections, conversation and call-data integration, and AI recommendations tied to appointments, sales, and other business outcomes.
The problem
Dealership performance data is spread across marketing platforms, inventory systems, CRM records, customer conversations, and call activity. A useful intelligence layer needs to connect those signals so marketing activity can be interpreted in the context of real dealership outcomes.
Engineering constraints
- The platform connects multiple sources, including Google Ads, analytics, inventory, and CRM data.
- Customer conversations and call data provide additional context beyond advertising metrics.
- Recommendations need to relate marketing activity to business outcomes such as appointments and sales.
Tijani's role
Tijani contributed to AI-powered automotive intelligence workflows and the integrations that feed them. The documented work includes Google Ads and analytics connections, inventory and CRM data, customer conversations and call data, and AI-driven dealership recommendations.
- Integrated Google Ads and analytics data.
- Connected dealership inventory and CRM information.
- Worked with customer conversation and call data.
- Contributed AI recommendations that connect marketing activity to appointments, sales, and business outcomes.
From marketing signals to dealership outcomes
The product context moves beyond campaign reporting by bringing inventory, customer activity, and call/conversation context into the same intelligence workflow. The goal is to connect marketing activity to the operational outcomes dealerships care about.
Integration scope
The supplied notes identify the platforms and data domains involved but do not specify the exact programming languages, connector count, or performance metrics. This page describes the documented integration and AI workflow contribution without inventing those details.
Technologies & implementation areas
- AI Workflows
- Google Ads
- Analytics
- CRM
- Inventory Data
- Call Data
Role & ownership
Tijani participated in developing and deploying DealerCortex AI workflows and integrations, including automotive intelligence, Google Ads and analytics, inventory and CRM connections, customer conversation data, and dealership recommendations. This describes his role within the wider product team.