PEARL ERP is a cutting-edge software solution specifically designed to optimize the operations of vehicle service centers. This robust application serves as an all-in-one platform, providing centralized control for managing diverse aspects of service center activities, from appointment scheduling to inventory management. By consolidating operations into a single platform, PEARL ERP enhances efficiency, minimizes errors, and ensures smoother workflows. The application is tailored to meet the unique needs of service centers, enabling administrators to oversee operations seamlessly and maintain high levels of organization and productivity.

One of the standout features of PEARL ERP is its suite of tablet and mobile applications, which empower service advisors, technicians, drivers, and customers with on-the-go access to essential tools and information. Service advisors can efficiently manage job card operations, technicians can easily track work orders and access service histories, drivers can monitor vehicle statuses, and customers can stay updated on their service schedules and progress. This integration fosters collaboration among all stakeholders and ensures a user-friendly experience. With PEARL ERP, vehicle service centers can deliver superior service, enhance customer satisfaction, and maintain a competitive edge in the industry.

AI-Based Vehicle Scratch Detection

Personalized Offers

Adviser Tab Application

Customer Mobile App

Revolutionizing Vehicle Inspection with Advanced AI Technology

PEARL ERP introduces an innovative AI-based vehicle scratch detection feature that revolutionizes the process of vehicle inspections, making it more accurate, efficient, and reliable. This state-of-the-art functionality leverages advanced artificial intelligence and machine learning algorithms to automatically identify and highlight scratches, dents, and other surface imperfections directly from vehicle images. By analyzing high-resolution photos or live video feeds, the system can pinpoint even the smallest defects with unparalleled precision, eliminating the need for manual inspection and significantly reducing human error.

The AI-powered scratch detection system integrates seamlessly with the PEARL ERP platform, enabling service advisors and technicians to quickly assess the condition of a vehicle before initiating service or repairs. This not only enhances transparency with customers by providing visual proof of detected issues but also expedites the documentation process, saving valuable time. Additionally, the feature helps maintain a comprehensive digital record of inspections, enabling service centers to track wear and tear over time and offer better maintenance recommendations. By streamlining the inspection process and ensuring consistent accuracy, PEARL ERP's scratch detection feature sets a new standard for vehicle service excellence.

Mobile and Tab Applications

Job Card Creation: Create job cards, assign drivers for vehicle pickup, and change job status to completed.

Remarks from customer: Can store additional remarks from customer by using text/voice.

Customer Interactions: Create profiles, add vehicles for service booking, request service bookings, request vehicle pickups, view vehicle pickup status, track job status, view completed jobs, and provide feedback.

Vehicle Pickup & Delivery Management: View assigned vehicle pickup requests, change pickup status, navigate to customer location, capture vehicle images, and update pickup and drop status.

Job Management: Start assigned jobs, request spare parts, and update service status to completion.

Technical Specifications

Interface: Simple and clean login interface requiring phone number and password.

Sidebar: Quick access to Dashboard, Services & Sales, Reports, Feedback, and Advertisement sections.

Summary: Total jobs, delivered, billed, completed, in progress, approved, and pending jobs.

Recent Jobs Section: Displays job number, vehicle number, model, customer details, and job status,Vehicle scratch detection by using AI Technology.

Revenue Graph: Weekly revenue data.