From guesswork
to granular.
A full-stack inventory and analytics platform built to provide complete financial clarity.
Flying blind with
no data.
A resale business selling thousands of items across live shows on Whatnot lacked a centralized system for tracking costs and margins.
No Inventory System
Thousands of items purchased across multiple loads with no centralized tracking. Items were frequently lost between warehouse zones.
Unknown Profitability
There was no mechanism to calculate profit per item, per show, or per load. Revenue was visible, but net margins were undefined.
Manual Everything
Data was fragmented across spreadsheets and third-party exports, requiring manual reconciliation.
Complete visibility.
Every single item.
I built a complete platform with three core interfaces: inventory management, profitability analytics, and financial reporting.
Every item, tracked and organized
10,000+ items tracked across 4 loads from JCrew and Madewell. Each item cataloged with barcode, category, cost, MSRP, and warehouse zone. Real-time inventory shows every item at a glance.
Profit margins on every single item
See hammer price, coupons, buyer-paid amounts, marketplace fees, net revenue, cost, and profit for each item sold. Sort by highest profit, filter by show, and toggle between WAC and per-show averages.
Full P&L at your fingertips
A comprehensive financial summary breaking down revenue streams, COGS by product line, gross profit, operating expenses, payroll, and net profit. Every dollar accounted for.
Built with modern tools.
Shipped fast.
A production-grade React application backed by Supabase, deployed on Netlify, and accelerated by Claude AI — from concept to production in record time.
React
Component-driven UI with real-time data rendering, filtering, sorting, and interactive tables.
Supabase
PostgreSQL database with real-time subscriptions, row-level security, and serverless functions.
Netlify
Continuous deployment from Git with instant rollbacks, CDN distribution, and serverless functions.
Claude Code
AI-assisted development accelerated the entire build — from database schema to complex profitability calculations.
How it all connects
The numbers
speak volumes.
From zero visibility to complete financial clarity — here's what the platform delivers.
-
No inventory tracking — items lost between loads and zones -
Couldn't determine profitability per item or per show -
Manual spreadsheets with constant data discrepancies -
No understanding of true margins after marketplace fees -
Business decisions made on gut feeling, not data
-
10,000+ items tracked with barcode, cost, zone, and category -
Per-item profitability with fee breakdowns and WAC costing -
Real-time dashboard with search, sort, and filter capabilities -
Full P&L summary with revenue, COGS, OpEx, and net profit -
Data-driven purchasing and pricing decisions at every level
The business discovered that their highest-revenue items weren't always their most profitable — margins ranged from 76.4% to under 30%, insight that was impossible before ProfitFlo.
Who's behind
the build.
From idea to production.
I'm an entrepreneur and operator based in Birmingham, Alabama. Recently, I've become obsessed with what AI makes possible for non-technical builders like me. ProfitFlo is proof of concept. I identified the problem, designed the system, and shipped the entire platform.