Please pardon the mess

This case study is under construction — some sections may be incomplete or a little messy

COAST

Student Project

Smart seaport management platform that uses AI to cut emissions, reduce costs, and boost efficiency using existing infrastructure.

MY ROLE

Project Manager
UI Designer

DURATION

20 weeks

TOOLS

Figma, Figjam, Rhino, KeyShot, Adobe Suite, ChatGPT, Perplexity

COLLABORATORS

Kaleigh Mackey, Austin Joseph, Pingyao Wan, Krishna Aggarwal, Emiliano Mirafuentes Resendez

Highlights

TL;DR

COAST (Clean Oceans and Sustainable Transport) is an AI-powered energy optimization platform for U.S. seaports. It helps ports reduce emissions, fuel waste, and operational costs by turning existing sustainability infrastructure into actionable insights. By unifying data from smart meters, shore power, fleet logs, sensors, and more, COAST delivers real-time visibility, predictive recommendations, and measurable climate outcomes—without the need for new, heavy, and expensive infrastructure.

Attach Axon to the equipment's main power line

Data is sent from Axon to Neuro via cloud IoT system

Manage equipment's live status, data, and reports on Neuro 24/7

Recognition

Nominated by University, Awaiting Result

International Design Awards 2025

Research

METHODS

10

weeks of focused primary & secondary research

9

in-depth user interviews

10

usability tests

SECONDARY RESEARCH

0%of world trade is carried out by seaInternational Chamber of Shipping

The maritime industry supports over

The maritime industry supports over

0mil.

American jobs, and…

American jobs, and…

…American ports are responsible for over

…American ports are responsible for over

0tril.

in economic activity.

in economic activity.

However…

all of this is coming at a cost.

Total global maritime emissions exceed

Total global maritime emissions exceed

999,999,000

metric tons annually.

If considered a country, the shipping industry would rank as the

If considered a country, the shipping industry would rank as the

0th largest

emitter globally…

emitter globally…

…behind China, the U.S., India, Russia, and Japan.

It's only going to get busier. Maritime trade volumes are projected to grow

0%

by 2050.

The International Maritime Organization (IMO) has set the following decarbonization goals:

0%

by 2030

0%

by 2040

0%

by 2050

PRIMARY RESEARCH GOALS

⚡️

⚡️

⚡️

GOAL #1

Understand current energy and fuel management workflows at seaports.

😵‍💫

😵‍💫

😵‍💫

GOAL #2

Identify pain points in data access and decision-making.

🤖

🤖

🤖

GOAL #3

Gauge receptiveness to AI-driven recommendations and automation.

PRIMARY RESEARCH

Recruiting relevant interview participants was incredibly challenging due to our initially broad scope and the limitations on the amount of federal information that can be shared with external parties. However, because of our personal and professional connections, we were able to talk to:

5

environmental experts

+

4

federal port employees

=

362

unique data points

From our environmental expert interviews, our key takeaways were…

We only have a few more years to get rid of harmful carbon practices before we cause irreparable harm to the planet.

Overly alarmist climate narratives can be misleading and counterproductive.

Businesses prioritize financial stability over environmental efforts.

The Earth must be considered a stakeholder. Environmental concerns should be prioritized alongside economic and human interests.

Climate risks for seaports are highly localized.

Start small: Global climate change feels overwhelming.

From our federal port employee interviews, our key takeaways were…

Shore power offers a tangible, immediate reduction in emissions, while the transition to alternative fuels remains a long-term, complex challenge.

Electrification is currently the most feasible clean energy transition for ports in 2025, but it is incredibly expensive.

Despite potential, advanced technologies like AI are underutilized, with current operations largely dependent on manual processes.

Many climate and sustainability initiatives (like port electrification) face skepticism if they don’t clearly demonstrate cost savings or economic benefits.

Any energy transition must ensure that port operations remain uninterrupted.

AI could help forecast electricity demand and optimize power use to reduce costs.

We were lucky to be able to talk to a key environmental voice who also served as a mentor for our project.

Tim Gallaudet

Fmr. Deputy Administrator, NOAA

Retired U.S. Navy Rear Admiral

CEO, Ocean STL Consulting

From Tim's interviews, our key takeaways were…

Optimization via AI allows seaports to not only be more green, but more efficient. By implementing AI into their work, ports could reduce fuel use, conserve energy, provide a more holistic outlook on operations.

There absolutely must be an economic incentive for the implementation of solutions. In order to gain government support for our solution, we must be able to frame our solution in terms of local and regional economic development.

While transitioning to renewable energy is essential for long-term sustainability, it is not an immediate, dramatic shift.

Frame climate change as an opportunity. Focus on solutions, not panic.

THE ISSUE

The path to electrification is unclear, leaving ports stuck between urgent climate goals and operational realities.

Analysis

EXISTING USER PAIN POINTS

📉

📉

📉

Unable to pinpoint systems inefficiencies in real time

😓

😓

😓

Frustrated by multiple unorganized data streams

🚢

🚢

🚢

Fearful of operational downtime

💸

💸

💸

The cost of all new electric infrastructure is overwhelming

🪙

🪙

🪙

No clear ROI to electrification

📆

📆

📆

Pressured to meet emission compliance deadlines

PROBLEM STATEMENT

U.S. Seaports are stuck using environmentally damaging practices for their daily operations, like gasoline-powered vehicles and machines, unsure of how to begin electrifying their day-to-day.

STAKEHOLDER MAP

If COAST were to go to market, we discovered that there are multiple organizations and agencies we would need to manage and/or keep informed.

Ideation

INFORMATION ARCHITECTURE & USER FLOW

SERVICE MODEL CANVAS

LOW FIDELITY SCANNER

INITIAL UI SKETCHES

LOW FIDELITY UI

Onboarding

Initial skin scan

Results and suggested products

Homescreen

More to come!

This case study is under construction. However, check out the documents below to learn more about this project.

Nick Pratt,

a

Designed with ❤️ (and ☕️) by me.

Copyright © 2025 Nick Pratt. All rights reserved.

Nick Pratt,

a

Designed with ❤️ (and ☕️) by me.

Copyright © 2025 Nick Pratt. All rights reserved.

Nick Pratt,

a

Designed with ❤️ (and ☕️) by me.

Copyright © 2025 Nick Pratt. All rights reserved.