Jan 16,2024
eTower's New Functions in 2023: Costing Center & Revenue Center
Company Profile
Founded in 2008, Jiyida is a Shanghai-based LCL freight forwarder with four branches across China. Its core services include ocean LCL, dangerous goods consolidation, and China–Europe rail freight. As a long-established consolidator, Jiyida operates complex shipment structures involving large volumes of documents, multiple shippers per container, and close coordination with destination agents.
To support business growth while controlling operational risk, Jiyida partnered with WallTech to modernize its logistics management and documentation workflows through the CargoWare platform.
From Individual Experience to System-Driven Operations
LCL operations are inherently document-intensive. A single container may involve dozens of house bills, invoices, and compliance documents that must be accurately prepared and delivered to destination agents within strict deadlines.
Historically, this process relied heavily on experienced staff, manual checks, and overtime work — creating scalability challenges and operational risk.
Through its collaboration with WallTech, Jiyida focused on a core objective:
transforming individual best practices into standardized, system-driven workflows.
Grid-Based Workflow Management: Making Work Visible and Predictable
Within CargoWare, Jiyida adopted a grid-based operational dashboard that breaks LCL workflows into over 20 standardized stages.
Each task is:
Assigned to a specific role
Automatically routed to the next step upon completion
Tracked in real time across the organization
The system visually highlights task urgency using color-coded indicators, allowing team members and managers to instantly understand workload status and priorities.
This approach eliminated ambiguity during staff handovers, reduced dependency on individual knowledge, and enabled more transparent, flattened management.
One-Click Actions: Embedding Expertise into the System
To further reduce complexity, CargoWare introduced one-click operational actions, consolidating multiple steps — such as data extraction, document generation, and notifications — into a single system command.
With CargoWare’s super-customizable workflow engine, Jiyida’s business teams can configure workflows independently, without programming knowledge. Supported by AI assistants, non-technical users can define what tasks a button performs and automate multi-step processes directly within the system.
This significantly shortened training cycles and enabled new employees to reach productivity faster.
One-Click Pre-Alert: Solving the Most Critical LCL Handoff
For LCL shipments, coordination with destination agents is essential. Delays or document errors can lead to customs issues, storage charges, and operational disputes.
CargoWare’s one-click pre-alert function automates this critical handoff by:
Automatically determining bill confirmation and issuance status
Exporting the correct document version for each shipment
Retrieving all master and house bill files directly from the cloud
Sending complete pre-alert packages to destination agents via integrated email
This fully eliminated manual file selection errors and significantly reduced the time and risk associated with destination coordination.
AI Documentation Center: Reducing a Department to One Person
At the core of Jiyida’s transformation is WallTech’s AI Documentation Center.
Using AI-powered document recognition and validation:
Bill of lading samples are automatically parsed and populated
Low-confidence fields are routed to human review
Port-specific and dangerous goods requirements are automatically checked
Exceptions trigger internal alerts for follow-up
As a result, Jiyida reduced its documentation team from 10 staff members to just 1, whose remaining responsibilities are limited to handling original bills and external follow-ups.
All other documentation processes are now automated.
Results at a Glance
Documentation team reduced from 10 to 1
Manual document errors virtually eliminated
Faster onboarding and lower training costs
Predictable, scalable LCL operations
Stronger coordination with destination agents
Conclusion
Jiyida’s case demonstrates how logistics companies can move beyond incremental automation toward system-level transformation.
By embedding expertise into workflows, unifying operations on a single collaborative platform, and leveraging AI for documentation management, WallTech’s CargoWare enables logistics providers to scale efficiently while maintaining control, accuracy, and service quality.
