Container Depot Quoting & Repair System

Background

The client operates a container depot near Zhengzhou with heavy gate traffic and complex container conditions. The old process ran on paper forms and Excel: handwritten inspection records, repair estimates based on veteran intuition, and month-end reconciliation that ran past midnight. Inconsistent quoting standards frequently triggered customer disputes.

Solution

Built on a ThinkPHP + layui decoupled architecture, with the PC as the main workspace and field inspectors entering data via mobile H5. Condition photos are captured and uploaded on the spot; a quoting rule engine prices repairs automatically by container type, damage location, and repair process, with special cases routed to manual review.

Key Features

• Gate registration and condition inspection (photo archive)
• Repair quoting rule engine (auto pricing + manual review)
• Online quote generation and customer confirmation
• Repair work order dispatch and progress tracking
• Settlement and monthly reconciliation reports
• Multi-role permissions for customers and shipping lines
• Unified container type and shipping line master data
• Live on-yard inventory and slot status
• Veteran estimate prices distilled into a reference price library
• Inspector workload and team performance statistics

Results

After launch, average quoting time per container dropped from about 15 minutes to under 3, with unified standards and noticeably fewer disputes. The repair ledger and photos went fully electronic, cutting month-end reconciliation from 2 days to 2 hours.