Development of an Automated Internal Logistics and Delivery Management Platform for Automotive Dealerships

Manual handling of customer transport services, parts deliveries, shuttle requests, and internal logistics at automotive dealerships leads to errors, lost requests, inefficient routing, delayed deliveries, and negatively impacts customer satisfaction indices. The lack of a unified, automated system hampers operational efficiency and real-time communication.

A mid-sized automotive dealership network aiming to optimize their internal transportation, parts deliveries, and customer communication processes.

• Automate internal shuttle, parts delivery, and customer transport request handling.
• Implement real-time job tracking with live driver location updates and ETA notifications.
• Reduce operational costs per trip and improve route efficiency through automation and AI-driven planning.
• Enhance communication channels between staff and customers, enabling proactive updates and self-service options.
• Integrate with popular navigation tools and external ride-sharing services to optimize resource utilization.
• Establish a scalable infrastructure capable of continuous deployment and cross-region support.

• Applicant-facing mobile app for drivers, displaying tasks, providing clear instructions, real-time updates via push notifications, and navigation integration compatible with CarPlay and Android Auto.
• Dispatch command center for dealership staff to manage, assign, and modify shuttle, parts, and customer requests, with capability for manual or AI-driven dispatching.
• Live tracking of drivers with automated or manual route optimization to enhance efficiency.
• Customer-facing web portal or self-service kiosk for booking shuttle and parts delivery requests.
• Automated job notifications to customers with precise ETAs and proactive SMS alerts.
• Facility for creating, updating, or canceling requests without phone calls, and direct communication with drivers.
• Integration with external ride-sharing platforms (e.g., Uber) for cost and time-efficient alternative transportation options.

• Navigation and routing services (e.g., Google Maps) for turn-by-turn directions
• Ride-sharing API integrations (e.g., Uber) for alternative transportation options
• SMS and communication services (e.g., Twilio) for notifications
• External APIs for driver live tracking and possibly vehicle telematics

• System capable of handling thousands of concurrent requests with minimal latency
• High uptime and zero-downtime deployment procedures
• Secure handling of customer and internal data, complying with relevant privacy standards
• Modular architecture supporting easy updates and regional scaling
• Automated testing covering unit, integration, and UI layers to ensure reliability

Implementing this platform is expected to reduce operational costs per trip, improve route efficiency through AI-driven dispatching, and enhance customer satisfaction via transparent, real-time updates, ultimately increasing customer satisfaction scores, reducing errors, and enabling scalable expansion of dealership logistics services.