With seamless integrations across CRMs, CDPs, DSPs, and call center workflows, the client empowers dealers and partners to drive smarter engagement and measurable outcomes. Every solution is designed with privacy and compliance, which enables dealers to maximize customer value.
The fragmented and incomplete customer records made it difficult for dealers to gain a clear view of their buyers. Our client helped dealers with enriching records and delivering high-quality leads enhanced with attributes such as location, buyer intent, and more. In order to enhance these capabilities, our client came up with the requirement to implement Snowflake to gain centralized automotive dealership CRM and DMS data, to eliminate fragmented records, and enable secure data sharing.
- Integrated into Snowflake
PROLIM Digital AI consolidated fragmented dealer CRM and DMS data into the Snowflake platform. This created a single, centralized system for secure storage, management, and analysis of all customer records. - Improved Customer Insights
Applied advanced identity resolution and enrichment techniques through Audience Acuity to eliminate duplicate and inconsistent records. This enabled deeper understanding of buyer behavior and intent. - Secure Data Sharing
Implemented secure data-sharing workflows with Audience Acuity and Five By Five, ensuring sensitive customer information is shared safely across partners while maintaining strict compliance and privacy regulations. - Customer Segmentation
Developed machine learning models to segment customers based on location, inventory, and buying preferences. This provided actionable insights, helping dealers identify high-value prospects and improve sales effectiveness.
- Dealer Onboarding: Using PROLIM Digital AI’s solution, the client onboarded 25 dealers into their data system, enabling unified and streamlined data management.
- Data Quality Improvement: The client achieved a 100% improvement in data quality by implementing reusable data pipelines and enforcing standardized data quality rules.
- Resource Optimization: Optimized Snowflake resource utilization by 30%, improving performance, efficiency, and cost-effectiveness.