Let the interface do the triage,
so the broker can decide
The beating heart of the redesign was the inventory table, the screen brokers basically live in. I rebuilt it to surface what's actionable and hush what isn't, so reviewing hundreds of listings feels like scanning a well-organized board instead of squinting at a spreadsheet.
The whole workspace in one glance: events on the left, the inventory table dead center, a contextual panel on the right. Flip Pricing Mode on and MSRP, current price, and a suggested price line up side by side. Directional indicators call out where a listing sits above or below the recommendation, so a broker can nudge one row or push every price to suggested in a single click.
Reworking the inventory table
Simplified row hierarchy
Each row leads with what matters and de-emphasizes the rest, so the eye lands on the listing, its status, and its price without competing for attention.
Built for visual scanning
Consistent alignment and rhythm let users move down hundreds of rows quickly, spotting outliers by shape rather than by reading every cell.
Clearer pricing indicators
Pricing competitiveness is shown, not implied. A number that used to need interpretation becomes a signal you read in a single glance.
Consistent data presentation
The same data reads the same way everywhere, so brokers build one mental model of the table and trust it across every event and marketplace.
The same table language carries across the product. On dense lists like orders, a steady column rhythm, consistent alignment, and inline actions on every row let users move through hundreds of records and spot outliers by shape rather than by reading each cell.
From the table into a single record
Click a row and the full order opens up in the exact same visual language as the table it came from. Order details, customer info, and the ticket group sit up top, and a clean pricing breakdown runs straight through to the payout, so the number that matters gets read, not recalculated. A running activity log keeps the order's whole history in one place.
Completing a sale follows the same logic: a guided two-step form on the left, with a live order summary that keeps quantities, pricing, fees, and the running total visible as the broker works.
Guardrails for an irreversible action
The purchase flow has one job above all else: keep brokers from making costly, unrecoverable mistakes. Each row's quantity is locked to the legal combinations a ticket group actually allows, and locking a row freezes its quantity and price so the order can be committed safely. Since locking can't be undone, it sits behind a deliberate confirmation rather than a twitchy single click.
Step through it: set a quantity within the allowed combinations, hit Lock, and the confirmation makes the consequence explicit before you proceed. Once locked, the row's quantity and price freeze, the order total resolves from “TBD,” and Confirm Purchase becomes available.
Making pricing health legible at a glance
A central challenge was communicating inventory health and pricing competitiveness through color-coded status. I explored two systems and let the realities of daily use decide between them.
Bold red / amber / green status
Instant recognition with bold, attention-grabbing signals. Perfect for urgent, time-sensitive inventory review when every second counts.
Softer, calibrated palette
Same signal hierarchy, dialed down for the long haul. All the meaning, none of the glare, for sustained operational use.
A dashboard to start the day with
To kill off manual reporting for good, I designed a dashboard that hands users a clear read on the business before they so much as touch a listing. It surfaces the trends and insights up front, instead of making people stitch them together themselves.
Revenue & performance trends
Headline metrics and trend visualizations show how the business is moving without a single export.
Inventory summaries
A roll-up of inventory health turns thousands of records into a picture you can read in seconds.
Operational alerts
Time-sensitive issues are pushed to the surface so they're handled, not discovered later.
Activity monitoring
Account activity stays visible, giving operations teams the situational awareness their role depends on.
Reporting reframed as a starting point: a row of date and attribute filters sits above headline metrics and aggregate totals, so teams read the state of the business at a glance instead of assembling it by hand.
Filtering & system patterns built to scale
Big datasets demand powerful, predictable tools, full stop. So I built reusable filtering components that let users carve down huge inventories in seconds and behave identically everywhere they show up. That speeds discovery, slashes search time, and keeps every table experience scalable. The same systems thinking spilled into the supporting interface too: a cleaner account menu that keeps frequent actions within easy reach, clearer notifications for system and operational updates, and a set of shared components that locked in consistency across the whole application.
Modals & messaging for the platform's biggest moments
Bulk actions and errors are exactly where trust gets won or lost. So I built a consistent system of modals that makes these moments behave the same way every single time. Users always know what's happening and what to do next. The clearest example is bulk CSV upload, where I designed the full flow end to end: confirm, process, validate, and resolve.
Click through the real flow: confirm the import, watch it upload and validate, then resolve the outcome. Flip Simulate result to follow either path. The error path serves up specific, row-level problems that tell the user exactly what to fix, and the success path drops them straight into freshly created inventory.
Every modal and message above is assembled from this little kit of shared components. The payoff: a brand-new dialog inherits consistent behavior and styling for free, instead of getting designed from scratch every time.