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Development of AI-Powered SaaS Platform for Automotive Dealership Logistics Automation
  1. case
  2. Development of AI-Powered SaaS Platform for Automotive Dealership Logistics Automation

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Development of AI-Powered SaaS Platform for Automotive Dealership Logistics Automation

tallium.com
Automotive
Logistics
Business services

Challenges in Manual Management of Dealership Logistics Operations

Automotive dealerships in North America and Australia rely on manual processes (pen-and-paper systems) for managing courtesy rides, valet services, and parts deliveries. This results in frequent errors, lost requests, inefficient routing, and poor customer satisfaction scores (CSI), negatively impacting overall service perception despite quality vehicle maintenance.

About the Client

SaaS provider specializing in logistics automation solutions for automotive dealerships

Project Goals for Logistics Automation Platform

  • Automate dispatching and optimize routing for dealership transportation services
  • Reduce operational costs per trip through intelligent resource allocation
  • Eliminate manual errors in service request management
  • Improve customer satisfaction scores through real-time tracking and communication
  • Enable seamless integration with third-party services like Uber

Core System Functionalities and Key Features

  • Driver mobile app with turn-by-turn navigation integration (Apple CarPlay/Android Auto)
  • Dealership command center for service request management
  • AI-powered automated dispatching and route optimization
  • Real-time driver tracking and live ETA updates
  • Customer-facing web interface for request creation/updates
  • Proactive SMS notifications with precise arrival times
  • Uber dispatch integration for cost/time optimization
  • Self-service kiosk for in-dealership request initiation
  • Parts delivery module with AI logic
  • Valet service management module

Technology Stack Requirements

Laravel
Angular
Swift
Java
PHP
PostgreSQL
Redis
Docker
Google Maps API

External System Integrations

  • Uber API
  • Twilio (SMS notifications)
  • SendGrid (email communications)
  • Google Maps Platform
  • Apple CarPlay
  • Android Auto

System Quality Requirements

  • High availability (99.9% uptime)
  • Scalable architecture for global deployment
  • Real-time data synchronization across components
  • Enterprise-grade security with role-based access
  • Low-latency tracking updates (<1s delay)
  • Cross-platform compatibility (iOS/Android/Web)

Expected Business Impact of Logistics Automation Platform

Implementation of this platform is expected to reduce operational errors by 90%, decrease cost per trip by 35%, and improve customer satisfaction scores by 25% through real-time tracking and proactive communication. The AI automation will enable dealerships to handle 200% more service requests without additional staff, while Uber integration provides flexible capacity management during peak periods.

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