Building a B2B supply chain management platform that improved operational efficiency by 70% and projected to increase business revenue by 3x.

A hand holding a black pen, poised to write or draw on a surface.

Team

2 UX Designers

2 UX Researchers

1 Product Owner

1 Developer

Stakeholders

Responsibilities

I focused on the Research, UX strategy, IA, workflow design and testing. Delivered high-fidelity wireframes to the developers and client.

Client

My Role

UX Designer

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Timeline

Sep '24 - April '25

The Solution

Understanding the Role of Supply Chains in Landcare

Supply chains are the backbone of the landscaping industry.. but most operations are still managed manually, leading to delays, inefficiencies, and lost revenue.

Landcare work spans daily services like mowing, landscaping, irrigation, tree care, and snow removal, all dependent on materials, crews, and equipment arriving on time. A minor disruption in any of these areas can trigger delays, increase costs, and jeopardize project timelines.

Success for this project was defined by three goals:

Streamline daily operations through automation.

Enable proactive planning with real-time insights.

Drive efficiency and revenue growth with smarter decision-making.

Secondary Research

Goal-setting with client

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A smiling woman with her arms crossed, standing against a dark green background. She has long, dark hair.
Close-up of a tree stump showing growth rings and a textured brown wood surface.

Automation- Where and What?

Before exploring automation solutions, I first aimed to understand which tasks or processes could be addressed early to make the most immediate impact.

I observed and interviewed supervisors in-office and field workers on-site, and ran a survey gathering crucial qualitative and quantitative data on their daily challenges. Combining field research with survey data, I identified the pain points that frustrated teams and disrupted workflows.

48 Survey Responses

18+ hrs Field Observations

Contextual Inquiry

Affinity Mapping (45+ data points)

Identified Problems

The parts that impacted effeciency the most were:

01 Fragmented task coordination and scheduling

• 80% supervisors had no real-time visibility into project progress.

Juggling spreadsheets, texts, and calls to track crews and projects.

• 34/48 businesses relied on spreadsheets/whiteboards for scheduling.

02 Inefficient Routing was a hidden cost

• Supervisors manually map out routes, weighing revenue, location proximity, and job priority.


Supervisor- “I spend 1-2 hours every day planning routes.”

03 Inventory and fleet were a black box

• Supervisors manually count tools in storage rooms and often discovered shortages too late.

• Vehicle availability was unclear, leaving crews delayed

Hence our challenge was,

How Might We build a smart, centralized platform that reduces operational losses and increases efficiency across field?

Ideation

To define the MVP, we priortized high-impact features that not only addressed key user needs but also provided valuable foundation for future development.

I collaborated with researchers, PM and developer to create a priortization matrix ensuring technical feasibility, viability and desirability.

Feature Priortization

Brainstorming

Designers

Developers

Researchers

PM

Design and Principles

This all came together in FieldOps - a unified platform built with one rule in mind: every design decision had to solve a real pain point, giving supervisors clarity, crews direction, and the business measurable efficiency.

01
Designing for Clarity and Control

Because supervisors manage dozens of moving parts, the dashboard provides clear overview of projects and crews, surface risks at a glance, and give crew members instant clarity on their tasks.

FieldOps

Dashboard

Projects

Inventory

Routes

Fleet Management

Crew Management

Report

Messages

Reducing Cognitive Load

Color-coded status indicators make risks and delays instantly visible helping supervisors act faster.

Delayed projects surface contextual AI-recommended actions to resolve issues.

Showing vehicle's avaibility at a glance helps supervisors allocate trucks without endless calls.

Actionable Dashboard

utilized a conspicious colour for better visibility

overdue tasks flagged in red, minimizing missed deadlines.

Auto-scheduling crews based on availability and qualifications

Add Project

Project Name

Oakridge Front Lawn

Assign crew

Jose

Ferza’s Team

ADD

All Tasks Involved

Irrigation

Mulching

Weeding

Route

Irrigation

Location

Address

City

Zip Code

Appointment Date

Nov 14, 2021

Create Project

Recognition rather than recall

Project cards give supervisors everything they need at a glance (progress, status, and key updates) so they can focus on decisions instead of trying to remember the details.

filters let supervisors quickly view only what matters

crews will receive the schedule instantly on their phone

Equipment needed

Report Issue

Lawn Mower x 2

Leaf blower x 1

String trimmer x 3

Hand pruners x 2

Safety gear (gloves, goggles, helmet)

John Smith Residential Frontyard

402 West New York Street

Indianapolis, Indiana, 46705

9:00 AM - 2:00 PM

View Tasks

Pickup Truck

Ford F150

Fuel: 75%

Fitts's Law

Applied in the tasks list and action buttons by keeping frequently used actions (start, pause etc.,) large and within easy reach, so field workers can update status quickly.

Proximity Principle

Used in grouping tasks by site and equipment with fleet assignment, so crews see related information together, making planning and execution faster.

quick clock-in/ clock-out access

Work summary builds motivation through visible progress.

all tools loaded into the right vehicle, no missed equipment, no wasted trips.

see the entire day’s plan upfront, no confusion about where to go next

AI task prioritization → tasks ordered with details so crews don’t have to guess what’s next.

Select a project to view details

Drill down into assigned tasks

Project & Task Assignment

02
Designing for Efficiency on the Move

Supervisors can assign optimized routes with real-time traffic and crew availability, cutting delays and fuel costs. Crews start the day with clarity and more predictable workdays.

Route Optimization

route optimization algorithms dynamically adjust routes on factors like traffic conditions, road closures, and new service requests

assigns/suggests crews based on factors such as availability, geographic proximity to the job site, skill level, and equipment needed for the task.

crews can access their multi-stop routes

calculates the quickest and most efficient order based on priority, revenue impact, and deadlines.

Optimized for the shortest route to save time and fuel.

03
Designing for Visibility

A unified view of fleet and inventory helps supervisors spot gaps early and prevent delays. Live updates and shortage alerts keep operations running smoothly.

Inventory Management

Fleet Management

Other screens