Clarify
Organised services, routes, tracking and enquiry actions around customer intent.
CUSTOMER CASE · COMONE EXPRESS
An AI-ready customer journey
for cross-border logistics.
AITEREX reorganised a traditional logistics website into a clearer service journey and built an interactive AI customer service foundation using approved public business information.
Delivered concept · Web experience and AI service prototypeTHE CHALLENGE
Rich business information, but a fragmented customer path.
COMONE EXPRESS had extensive information about routes, services, offices and operating rules. Customers still needed to search across pages—or ask a person—to find the answer and next action.
- 01Service information spread across traditional website pages
- 02Repeated questions about routes, cargo types and calculations
- 03Tracking, quotation and support paths were not presented as one journey
- 04Knowledge was not structured for an AI service agent
AITEREX APPROACH
Rebuild the journey before adding AI.
Structure
Turned public FAQ and business information into a controlled knowledge starting point.
Prototype
Created an interactive bilingual AI service experience for common enquiries and quotation qualification.
Control
Defined boundaries for live rates, tracking, customs judgement and human escalation.
WHAT WAS DELIVERED
A working customer experience, not a slide deck.
Interactive website concept
A responsive service journey connecting company information, routes, trust evidence and customer actions.
AI customer service prototype
A live bilingual assistant grounded in approved public information for services and common operating questions.
Human-handoff boundaries
Clear routing for live prices, shipment events, customs decisions and other cases requiring reliable system data or judgement.
Implementation roadmap
A staged path toward rate tables, shipment tracking, exceptions, messaging channels and CRM follow-up.
VERIFIABLE OUTPUT
Explore the interactive concept.
The prototype is published as an AITEREX demonstration. It shows the experience and AI workflow direction; it does not claim unverified commercial performance improvements.
NEXT PHASE
From public knowledge to live business operations.
The next implementation step can connect authorised rate, tracking and exception data, then route qualified conversations into WhatsApp or a CRM. Each connection should be introduced with a defined permission and measurable service goal.
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