From Tracking to Decisions — Designing a Smarter Inventory System

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Overview

Most tools help you track inventory. Rio helps you run your business. It's a simple, opinionated inventory system built around margin-aware intelligence and open-to-buy planning for non-technical operators. Instead of organizing around data objects, the product is structured around a decision loop: understand what’s happening, investigate why, decide what to do, and reflect over time. Rio started as an internal tool. While running a DTC brand, my co-founder and I couldn’t find an inventory system that actually supported decision-making. Existing tools either tracked inventory without guiding action or buried insight inside reports that required too much interpretation. So we built our own — he engineered it, I designed it, and we shaped the product around the realities of operating a business day to day. What began as an internal tool uncovered a broader opportunity—one that extended beyond inventory into how small businesses manage cash, risk, and growth, and ultimately became the foundation for a new financial consulting business.

My Role

Sole product designer, end to end — research, information architecture, UX, visual design, and brand identity
Created the product concept and core thesis alongside my co-founder
Defined the system model, navigation structure, and primary user flows
Designed the full product experience across Overview, Inventory, Product Detail, Plan, and Reports
Established the visual language and design system, including typography, color, and interaction patterns to support a calm, decision-first experience

How might we help small business operators make confident buying and stocking decisions without requiring finance expertise, spreadsheets, or heavy ERP tools?

The Problem

Small business owners make inventory decisions the same way most people make financial decisions: reactively, with incomplete information, and often too late. Small retailers are caught between tools that are too simple and systems that are too complex. Spreadsheets and basic inventory apps tell you what you have. ERPs like NetSuite are built for organizations with dedicated ops teams. Neither is built for the operator who needs to decide, every week: what do I buy, and how much cash should I spend? As a result, these tools are functional but passive. They show what exists, but don’t help users decide what to do next. For small teams, this gap is costly. Overstock ties up cash. Stockouts lose revenue. And the decisions that prevent both happen too late because signals are buried in reports no one has time to interpret. We experienced this firsthand. We had the data, but it wasn’t organized around the questions we were actually asking: What needs attention right now? Why is this SKU underperforming? Should I reorder or hold? What can I afford to buy next month?

Key Constraints

• Designed for operators managing inventory alone or with a very small team — no dedicated analyst, no finance department • Decisions happen fast; the product has to reduce cognitive load, not add to it • Actions had to live close to data — no separation between insight and execution • The system needed to feel modern and intuitive, not like enterprise software

Approach

The core design decision was to organize the product around user intent rather than data structures. Instead of Products → Orders → Reports, Rio is structured around a decision loop: scan → focus → act. Overview acts as the triage layer. It surfaces key signals—overstock risk, stockouts, strong performers—paired with suggested actions. The goal is immediate orientation and momentum toward the highest-priority decision. Inventory is the operational core. Instead of a flat list, products are grouped by behavior: At Risk, Overstocked, Healthy, Dead Stock. This reframes inventory from a static dataset into a prioritized set of decisions. Inline actions like Reorder, Discount, and Pause Buying keep execution tightly coupled to insight. Product Detail is the diagnostic layer. Each SKU surfaces not just metrics, but context: what’s happening and why. Signals are translated into plain language (“Sales slowed 30% over two weeks while inventory remained high”), supported by velocity, margin, and inventory trends. A persistent action bar reinforces decision-making in context. Plan is the differentiator. A lightweight open-to-buy system shows available budget, category allocation, and recommended purchases with projected impact. Simple scenario planning allows operators to adjust quantities and immediately understand tradeoffs. This shifts the product from reactive tracking to forward-looking planning.Reports supports reflection and cadence. Weekly and monthly summaries of revenue, margin, sell-through, and inventory health are intentionally restrained—prioritizing clarity over dashboard complexity. Visually, Rio is designed to feel calm, minimal, and highly legible. Strong typography, clear hierarchy, and restrained color usage emphasize signal over noise. The goal was a product that feels closer to an editorial tool than traditional enterprise software—something an operator would actually want to open every morning.

Outcome

Rio uncovered a clear gap between inventory tracking and inventory decision-making. The work reframed the problem from managing stock to connecting daily operations with cash flow, margin, and purchasing decisions. That shift extended beyond software — what began as an internal tool evolved into a financial consulting practice, with plans to spin it out as a standalone product.