Shipox DMS

Shipox was built to streamline logistics, but after its acquisition by Zip24, it was clear the platform was fragmented and inefficient. Key components like tracking, routing, and order management lacked integration, leading to operational blind spots and inefficiencies for users. A transformation was necessary—one that would unify the system, enhance visibility, optimize workflows, and create a more intelligent SaaS platform for seamless fleet management.

Client

Zip24

Deliverables

UI/UX, Design System

Year

2021

Role

UX Design

Challenge

The goal was to transform Shipox from a fragmented system into a seamless SaaS platform—one that enhances fleet visibility, boosts efficiency, and ensures a unified delivery experience across every touchpoint.

Constraint

With no direct access to end users, we relied on the product itself and insights from the product and engineering teams to assess its performance, identify gaps, and uncover opportunities for improvement.

Discovery

We analyzed competitors to identify key differentiators. Alongside this, we reviewed user feedback and support logs to reveal pain points and define areas for improvement through real customer experiences.

Our focus was on enabling logistics companies to run their fleets more efficiently, ensuring on-time deliveries and a seamless customer experience.
Target Audience

Primary Audience

Delivery Managers & Drivers

Secondary Audience

Supply Chain Managers & Logistics Startups

User Interview

We conducted in-depth interviews with drivers and logistics companies to understand their workflows and challenges. A key takeaway was the high value placed on proactive notifications and accurate ETAs. Users expressed frustration over vague status updates during delays, emphasizing the need for timely alerts that allow them to adjust plans and keep customers informed. This highlighted a clear opportunity to enhance user satisfaction through predictive insights and real-time notifications.

User Persona

To capture diverse user needs, we developed personas representing a driver, an fleet manager, and a startup founder. A common thread among them was the demand for efficiency and reliability. Predictive insights—such as advanced warnings on delays—emerged as a crucial feature, ensuring seamless coordination and reducing uncertainty.

Amanda
Amanda

Fleet Manager

Background

Background

She manages dispatch and scheduling for a fleet of delivery drivers at a Houston logistics company offering same-day delivery services. Though only 5 years into her career, Amanda quickly demonstrated sharp problem-solving abilities and now oversees coordination for over 50 drivers making deliveries across Texas.

Frustrations

  • Communication breakdowns between Amanda and drivers causes delivery delays.


  • Inability to accurately predict traffic impacts, and a lack of optimization efforts around driver routing and responsiveness.

Goals

  • Customizable role-based dashboard visibility.


  • Native communication workflows between drivers and managers.


  • Automated documentation and proof of delivery.

Background

She manages dispatch and scheduling for a fleet of delivery drivers at a Houston logistics company offering same-day delivery services. Though only 5 years into her career, Amanda quickly demonstrated sharp problem-solving abilities and now oversees coordination for over 50 drivers making deliveries across Texas.

Amanda

Fleet Manager

Background

She manages dispatch and scheduling for a fleet of delivery drivers at a Houston logistics company offering same-day delivery services. Though only 5 years into her career, Amanda quickly demonstrated sharp problem-solving abilities and now oversees coordination for over 50 drivers making deliveries across Texas.

Amanda

Fleet Manager

Frustrations

  • Communication breakdowns between Amanda and drivers causes delivery delays.


  • Inability to accurately predict traffic impacts, and a lack of optimization efforts around driver routing and responsiveness.

Goals

  • Customizable role-based dashboard visibility.


  • Native communication workflows between drivers and managers.


  • Automated documentation and proof of delivery.

Information Architecture

Working closely with stakeholders, we defined the information architecture based on key features outlined in the Product Requirements Document (PRD) and prioritized using the MoSCoW method. This structured approach helped us map essential flows, group features effectively, and refine usability to improve the overall experience.

Wireframes

Through iterative design, we developed wireframes that served as a foundation for discussions and reviews with stakeholders. These iterations helped us refine user flows before moving to high-fidelity designs. Given the distributed nature of our team, we established a design system early on to ensure consistency across screens, enabling seamless collaboration.

Design System

Our design system was built to be modern, minimal, and functional. With managers and drivers as our primary audience, we crafted a balanced color palette using solids with subtle gradients. Readability and approachability guided our typeface selection, ensuring a friendly yet professional tone. For iconography, we chose Iconly, as it best aligned with the app’s positioning and visual identity.