Project Overview

The Product:

A shipment management platform that provides accurate ETA predictions.

Project Duration:

November 2020-November 2021

The Problem:

Delays cause ETA predictions and data to be inaccurate, causing businesses anywhere from $5k-$100k loss.

The Goal:

save businesses on downstream costs of freight delays.

My Role:

UI/UX Designer. Branding, marketing & product launch strategist. Sales & Copywriter.

Responsibilities:

User research, wireframing, prototyping, email marketing & copywriting, and sales strategy.

Understanding the User

User Research: Summary

Primary research method: Conducted research from reviews, competitor analysis, market size, industry statistics

Secondary research method: In-person interviews.

User Research: Pain Points

Accurate ETA costs

Where containers are in the world is a big data point, as shipping schedules tend to blow out. This can cost the end customer/s on average $336 per container, per day.

ETA data stale

Nothing is real-time at the moment. There is no push at the moment to make it real-time either. This can cost end customers $113 per container, per day.

Delays affect business profits

The average cost of delays cause businesses on average $1017 per container, per day

Delays affect promotions

Customers are looking closely at ETA’s as they need to get supply out or delay promotional activity. This can cost end customers $14/hr, per day, per container.

User Research: Persona

Name

“As an importer/exporter I want frequent data updates so that I can apply to clear my container with customs and avoid fees”

Goals

• Demonstrate a company can operate sustainably and be successful
• Knowing real-time delays on shipments would be advantageous
• Want like trend reports to negotiate shipping rates

Frustrations

• Unable to avoid fees
• End customers can get annoyed if their business has been structured around the arrival date of the product

Age: 41

Education: Science Degree