
Case Study · Logistics&Shipping
01 — Background
Client: SITC International Holdings (SITC).
A leading intra-Asia shipping logistics company, providing integrated transportation and logistics solutions.

02 — Challenges
Inconsistent data standards across multiple systems and a lack of a unified logic framework.
Heavy reliance on manual queries and expert analysis leads to delayed responses.
Static analysis tools lack the flexibility required for complex, real-time business scenarios.
Inability to identify risks in a timely manner, resulting in lost opportunities and increased costs.
03 — Solutions
Built on a USL (Universal Semantic Layer) that bridges the gap from "Insight" to "Action."

A USL Semantic Engine that serves as the "brain," unifying business logic mapping and modeling tools.
Supports three proactive modes:
Natural Language Processing: Empowering business users to orchestrate complex underlying logic using everyday language.
Real-time Insights: Agent-led monitoring automatically detects operational anomalies in real-time.
Active Alerting: Transforming passive corporate monitoring into an autonomous, event-driven response system.
Implementation Approach
Step 01
Multi-source Data Integration
Step 02
Deep Insight Generation
Step 03
AI-driven Recommendations
Step 04
Actionable Tasks
Step 05
Human-Machine Interaction
04 — KEY PERFORMANCE
Faster Decision-Making
Boosts decision speed, capturing market opportunities faster.
Revenue Growth
Enables precise performance improvements, uncovering potential revenue.
Risk Mitigation
Provides early warnings for abnormal events, significantly reducing losses.
Customer Retention
Reduces lead attrition, enhancing overall customer value.
Operational Efficiency
Achieves cost reduction and efficiency gains in labor productivity.