Global logistics / Product case study

AI-powered Logistics

A unified cloud application for managing international shipments end to end—replacing fragmented customs-clearance tools with predictive workflows, configurable interfaces, and reusable product foundations.

The experience / In action

A unified operational experience

Project Details

  • My Role

    Product strategy and execution. I led UX strategy, research, information architecture, UI architecture, prototyping, and the design-system direction for the unified platform.

  • Collaboration

    Worked with regional operations, customs-clearance experts, compliance, product, and engineering teams across Singapore, New Zealand, and the United States.

  • Product Outcome

    A configurable cloud platform replaced country-specific UI foundations with one scalable product model—supporting regional workflows, predictive tasks, reusable automation, and connected fraud investigation.

  • Services

    Product strategy, UX strategy, UX research, UI architecture, Information architecture, Design system.

The challenge / Fragmented operations

One shipment journey, fragmented across three continents

Legacy customs tools differed by country, splitting one shipment journey across disconnected systems. Teams reconciled entries manually while regional requirements made one scalable workflow difficult to achieve.

Platform consistency

Fragmented systems

Country-specific legacy applications split one shipment journey across disconnected tools, making it difficult to manage clearance end to end.

Operational effort

Manual updates

Teams had to manage and update shipment entries across different systems. Operational discrepancies slowed work and made progress harder to track.

Local requirements

Regional complexity

Singapore, New Zealand, and the United States followed different processes. A unified platform needed to accommodate each region’s workflows and data structures.

The strategy / Shared foundations

One foundation. Regional flexibility

I shaped a shared interface, configurable components, and prototypes that brought regional teams into the design process.

One platform, room for regional differences.

Design focus

Understand each market

  • Research workflows across Singapore, New Zealand, and the United States.
  • Map regional processes and data requirements.
  • Separate shared needs from country-specific variations.
The approach

Make regional flexibility part of the foundation

Use a shared product structure that accommodates local customs-clearance workflows, so regional requirements remain visible within one experience.

What this creates

Regional requirements and a shared experience direction

Explore each focus area to see how the strategy came together.

The research / Automation

Using AI to remove process complexity

We mapped sequential workflows that could become reusable AI snippets, reducing setup while keeping users in control.

AI-generated task workflow for the logistics platform
AI-generated task workflows convert complex operational sequences into clear, actionable work.
The solution / Workflow snippets

Turning repeated operations into reusable automation

Reusable AI snippets package familiar sequences, reducing setup and creating a consistent execution model across markets.

AI-powered workflow snippet design for logistics operations
Reusable snippets automate common shipment and customs-clearance activities.
The workflow / Predictive tasks

Predicting the next task instead of waiting for manual creation

Task creation was manual and status-driven. The platform predicts the next step and creates the task automatically, keeping ownership visible.

Predictive task creation workflow
The system anticipates the next operational step and creates the corresponding task.
The architecture / Configurable interfaces

A scalable, progressive interface for country-specific workflows

Regional research shaped responsive templates with flexible containers, allowing country-specific components without fragmenting the product.

Scalable component-driven logistics application architecture
A stable template layer supports configurable regional components and workflows.
The safeguards / Fraud detection

Revealing hidden relationships across shipments

Compliance scenarios connect shippers, consignees, and shipments to reveal patterns across entries and support earlier fraud detection.

Customer relationship mapping used for logistics fraud detection
Relationship mapping helps compliance teams identify repeat goods and connected parties across fragmented shipments.