AutomAssist provides an AI-powered platform that helps automotive service centers automate appointment scheduling, parts ordering, and customer communications. The system integrates with existing dealership management software to streamline workflows and reduce manual effort, enabling faster service turnaround and improved customer satisfaction.
Funding
Funding not disclosed
Founders
Product
Problem
Automotive service shops often rely on manual processes for scheduling appointments, ordering parts, and generating invoices, leading to data entry errors, longer turnaround times, and reduced customer satisfaction.
Solution
AutomAssist provides an AI-driven platform that integrates with existing shop management systems to automate key workflow steps. The solution automates appointment scheduling by matching customer preferences with technician availability, streamlines parts ordering through predictive inventory suggestions, and generates accurate invoices with minimal human intervention. By reducing manual data entry, the platform accelerates service cycles and frees staff to focus on higher-value tasks. Real-time analytics and alerts help shops monitor workflow efficiency and address bottlenecks promptly. The AI engine continuously learns from shop data to improve scheduling accuracy and parts forecasting over time.
Target Audience
Primary customers are independent automotive service shops and multi-location repair chains seeking to digitize and streamline their operational workflows.
Features
- AI-powered appointment scheduling that syncs with calendar and technician resources
- Automated parts ordering with predictive inventory recommendations and supplier integration
- One-click invoice generation with line-item validation and tax calculations
- Seamless integration via APIs with popular shop management and POS systems
- Real-time dashboard displaying workflow status, turnaround metrics, and performance alerts
- Continuous learning models that refine scheduling and parts forecasts based on historical data