Designing AI-Driven Logistics for Scale and Precision

We collaborated with Linqhaul, an AI-first logistics intelligence platform, to refine their product experience, bringing clarity, structure, and usability to complex, multi-layered logistics operations. The focus was on transforming real-time data, AI agents, and automation into a cohesive, enterprise-ready interface that supports faster decisions across the supply chain.

[ THE CHALLENGE ]

Making Complex Logistics Systems Easy to Operate

Linqhaul’s platform powered advanced capabilities, AI planning, telematics, compliance automation, and analytics, but the experience risked overwhelming users managing high-stakes logistics workflows. Dense information, multiple modules, and real-time dependencies required a clearer structure to help operators act quickly and confidently. The challenge was to simplify interaction without sacrificing control or depth.

[ DESIGN APPROACH ]

Clarity, Modularity, and Enterprise Readiness

We restructured the information architecture to align with how logistics teams think and operate planning, execution, monitoring, and exception handling. A disciplined visual hierarchy, modular layouts, and consistent interaction patterns made complex systems easier to scan and manage. AI-driven insights were surfaced contextually, ensuring intelligence supports decisions rather than distracting from them.

[ OBJECTIVES ]

Key Areas We Set Out to Improve

A focused set of improvements designed for speed, scale, and operational confidence:

Simplify multi-module workflows across logistics operations

Create a consistent design language across AI agents and platforms

Improve visibility into real-time data and exceptions

Enable faster decision-making through structured dashboards

Support scalability across industries and logistics use cases

Modernize the interface for enterprise-grade clarity and trust

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[ ELEMENTS & DESIGN SYSTEM ]

A Scalable System for Intelligent Logistics

We introduced a robust design system with reusable components, flexible grids, and standardized patterns. This system enables faster feature rollout while maintaining consistency across Linqhaul’s expanding ecosystem of AI agents, platforms, and industry solutions.

[ UI DESIGN ]

Interfaces Built for Control and Confidence

The redesigned UI balances depth with clarity, helping logistics teams monitor operations, respond to exceptions, and act on AI recommendations from a single, unified experience. Predictable patterns and clean visuals reduce friction in time-critical environments.