Logistics & SaaS

Enterprise Supply Chain Dashboard

Low adoption of internal tools was creating operational blind spots. We redesigned the workflow to improve data visibility and reduce training time in high-stress logistics environments.

Project Manifest

Role
Strategy + UX + Dev
Scope
Platform Redesign
Timeline
5 Months
Tech Stack
Angular
D3.js (Data Viz)
Java Spring Boot
Oracle DB
Abstract representation of logistics data nodes and supply chain connectivity
01

The Constraints

  • Workflow Complexity

    Existing tools required 15+ clicks to perform routine status checks, leading to user fatigue.

  • Data Visibility

    Critical shipment data was buried in tabular lists without visual hierarchy or alert systems.

  • High-Stress Environment

    Operators work under time pressure; the UI needed to be high-contrast and error-forgiving.

02

The Approach

Dashboard Redesign

We moved from a table-first view to an exception-based dashboard. Operators now see "At Risk" shipments first, rather than a raw list of 1000s of items.

Visual Data

Implemented D3.js visualizations to show supply chain health at a glance. Color-coded status indicators allow for faster decision-making.

Simplified Actions

Reduced the "Click Depth" for common tasks (like rerouting a shipment) from 15 clicks to 3 clicks through smart context menus.

Mobile Parity

Enabled warehouse managers to approve exceptions via mobile/tablet, unblocking desktop-bound workflows.

03

The Outcome

3x

Increase in daily active internal usage.

50%

Reduction in training time for new operators.

Real-time

Visibility achieved across 12 warehouse locations.