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AI-Driven Transport Order Automation System

altkomsoftware.com

Logistics

Transportation

Challenges in Manual Order Acquisition

The client faced inefficiencies in manually managing personalized email campaigns to re-engage inactive customers, leading to delays in transport order acquisition, inconsistent customer communication, and resource-intensive processes requiring human intervention at multiple stages.

About the Client

A logistics company specializing in domestic and international full truckload road transport (up to 24 tonnes) and general cargo transport across Europe, with multiple offices in Poland.

Key Project Goals

Automate 80% of transport order data collection processes
Enable 24/7 campaign execution without human intervention
Integrate AI-generated conversation data with existing CRM systems
Improve customer retention through uninterrupted communication

Core System Requirements

Generative AI for natural language customer communication
Automated collection of transport order parameters (dates, locations, cargo details)
Conversation history tracking and status management
Intelligent escalation to human representatives when required
Multi-language support for European customer base

Technology Stack

AWS Lambda

AWS Step Functions

Amazon DynamoDB

AWS S3

AWS Pinpoint

System Integrations

Existing CRM platform
Order processing system
Customer database

Non-Functional Requirements

High scalability for handling large customer bases
99.9% system availability
Data encryption and GDPR compliance
Real-time conversation processing

Expected Business Impact

Implementation of AI-driven automation will reduce manual workload by 80%, enable round-the-clock customer engagement, ensure 100% conversation continuity, and provide scalable order acquisition capabilities while maintaining human oversight for complex cases.