Telematics fleet merging platform

Telematics fleet merging platform hero visual
Role
Product Designer
Core activities
DiscoveryFleet ManagementDashboards
Period
2021
Product Tags
NDAFleet ManagementDiscovery

Context

Two industrial telematics platforms had to be merged into a clearer fleet-management experience for operators and business stakeholders.

Product Landscape

NDA / 2021

Telematics fleet merging platform connected product strategy, user workflows and implementation constraints. The work needed to support the immediate feature scope while leaving the product easier to extend.

Discovery and UX architecture for merging two industrial fleet-management platforms.

  • Discovery scope
  • Fleet Management scope
  • Dashboards scope
  • SaaS scope

Challenges

The work started with a set of product, workflow and system constraints that had to be resolved without slowing delivery.

  • The legacy systems were fragmented and difficult to unify.
  • Fleet data, dashboards and reporting workflows required a role-based structure.
  • The design had to clarify product direction before implementation investment.

Approach

Design process

I translated the product problem into reusable UX structures, validated the direction with stakeholders and prepared implementation-ready design specifications.

  • Led discovery and mapped the existing platform logic.
  • Defined information architecture for fleet management, reporting and operational dashboards.
  • Translated complex system behavior into a concept-level redesign.

Outcome

The result was a clearer product experience, stronger delivery alignment and a more scalable foundation for future work.

  • Created a unified UX direction for the merged platform.
  • Reduced ambiguity around roles, modules and dashboard structure.
  • Gave stakeholders a clearer product architecture for future delivery.

Reflection

General experience

Good system work is less about perfect component inventory and more about creating repeatable agreement between product, design, and engineering.

The most useful artifacts were the ones teams could apply immediately in delivery: decision rules, naming conventions, reusable states, and practical examples.

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