Overview
A logistics company managing import-export operations faced inefficiencies in manual container clearance, documentation, and port authority communication.
The goal was to automate clearance workflows, integrate with customs and shipping systems, and reduce delays.
Problems
Manual documentation review and approvals caused unpredictable clearance delays.
Communication gaps between shipping agents, port authorities, and customs led to frequent backlogs.
Regulatory compliance checks were handled manually, increasing error rates.
Container tracking lacked real-time visibility, misaligning shipping schedules with clearance.
Operational costs increased due to demurrage charges and inefficient processes.
Solutions
An AI-powered document processing engine was implemented to automatically extract, validate, and submit clearance forms.
Real-time API integrations with port authorities, shipping lines, and customs systems ensured seamless status updates.
Predictive clearance models estimated processing time and pre-allocated workforce.
A centralized dashboard provided full visibility of container movement and alerts on delays.
As a result, clearance time reduced by 45%, operational efficiency improved, and demurrage costs dropped significantly.
