SCOPE
Product Design · Workflow automation
ROLE
Co-founder, product design, UX, market validation.
From counting stock by hand to automated replenishment.
Resolve replaces manual inventory management in dental clinics with an integrated hardware-software system. I co-designed the product, built the UX, led the market validation, and helped take it from idea to working pilot.
0→1
Product built
from scratch
Live
Pilot running
one clinic, building the case
Full
Validation
from market research to business case
30 minutes
vs 4h for manual inventory
CONTEXT
A manual process that nobody had fixed
Dental clinics manage hundreds of consumable products—materials, instruments, disposables. In most clinics, inventory management means someone walking around counting stock by hand. When something runs out, they notice too late. When they reorder, they guess quantities.
This is a solved problem in manufacturing and retail. Kanban systems, automated replenishment, digital inventory — these exist at scale. But nobody had brought them down to the level of a small dental clinic with a simple, affordable system.
That's what we built.
The insight wasn't technological. It was observational: the manual workflow had a logic to it. We just needed to make that logic run automatically.
BEFORE
Manual counting, guesswork, stockouts
-
Someone walks around counting products by hand
-
Reorders based on memory and approximation
-
Stockouts discovered during procedures
-
No visibility into what's running low
-
Clinical time wasted on logistics
AFTER
Automated tracking, one-button replenishment
-
System tracks stock automatically
-
Reorder thresholds trigger alerts before stockouts
-
Purchase orders created and sent from the dashboard
-
Shipping tracked from order to delivery
-
Replenishment by pressing a button
ROLE
Research, design, validation
My work covered the layers between the problem and the product:
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Market research— interviewed clinic managers and dental professionals. Mapped the manual workflow in detail: pain points, workarounds, time costs. Identified that existing solutions were designed for hospitals and warehouses, not for a clinic with three treatment rooms.
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Product design and UX— designed the application interface, user flows, and dashboard. The constraint was absolute simplicity: usable by a clinic assistant with no technical training. Every screen answers one question clearly.
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Workflow translation— took the manual counting process and mapped it into kanban logic that could run digitally. The hardest part wasn't the technology. It was understanding the existing workflow well enough to automate it without breaking the parts that actually worked.
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Business case development— built the market validation framework, developed the go-to-market strategy for the intermediary channel (dental suppliers), structured the commercial model.
CURRENT STATUS
Product fully built and running as a live pilot
Stock is managed without manual counting. Purchase orders are generated from the pressing of a button. Replenishment is automated.
The pilot phase is about building the evidence: measuring time saved, reduction in stockouts, ordering accuracy, user adoption. The business case being constructed now is what will support the market launch.
Manual workflow fully automated
The clinic no longer counts stock by hand. The kanban system tracks usage automatically and flags reorder points before anything runs out.
Working product from zero
No inherited codebase, no template, no existing product adapted. Designed, built, and deployed from a blank page to a functioning application in a real clinical environment.
Designed for non-technical users
The UX constraint was absolute simplicity. A clinic assistant uses it daily without training. That constraint shaped every design decision in the product.
Market validation built into the pilot
The pilot isn't just a test of the product. It's a structured data collection exercise designed to build the business case — time savings, cost reduction, adoption patterns, ordering accuracy.
What this project taught me
Building a product from zero taught me something I now apply to every content system I build: the most important work happens before you start building. Understanding the existing workflow—what people actually do, not what they say they do—is what determines whether the system you build will be adopted or ignored.
It also taught me that the best automation doesn't replace human judgment. It removes the mechanical work so that judgment can focus on what matters. That's the same principle behind every AI-assisted editorial system I've built since: automate the repetitive, protect the decisions.