Product Design · Menu Intelligence · Revi

Built 3 products
in 1 menu system.
iOS. Android. Web.

Redesigning how restaurant operators manage menus across kiosks, POS, and the consumer app from one place.

Product Designer
iOS · Web
Revi
Built 3 products<br>in 1 menu system.<br><em>iOS. Android. Web.</em>

We had the data. Partners couldn't reach it.

Revi sat on a rich layer of behavioral and transactional data: what customers ordered, when they ordered it, which modifiers they chose, what they reordered, and what they abandoned. That data existed across POS, kiosks, and the consumer app. But none of it was accessible to the people who needed it most: the operators running the restaurants.

Partners were making menu decisions blind. Pricing a new special? Gut feeling. Cutting an underperformer? Anecdotal. Stocking inventory for the weekend? Based on last week's memory, not last week's data. The information was there. It just lived in backend tables nobody outside engineering could touch.

Menu insights that partners could act on without leaving the floor.

I designed a mobile-first insights view that broke item performance down by modifier, category, and time range. Partners could see what was selling, what wasn't, and what was trending in either direction. The interface was built for the way operators actually work: standing at a counter, checking their phone between rushes, needing an answer in under ten seconds.

Four workflows that turned data into revenue.

Inventory

Stock what sells

Partners used item velocity data to prep smarter. Instead of guessing weekend volume, they could see actual order patterns by day and time slot, reducing waste and preventing sellouts on high-performers.

Menu Building

Build from signal, not instinct

Modifier breakdowns showed which customizations customers actually wanted. Partners restructured menus around real demand, promoting high-margin combos and retiring items nobody ordered even when they were featured.

Specials

Create specials that convert

Trending item data let partners spot what was gaining momentum and build specials around it. Instead of discounting slow movers, they could amplify what was already working and ride the wave.

Marketing

Market what people want

Partners connected insights to Revi's marketing tools. They promoted top-performing items and targeted customers who had ordered similar things before. The recommendations weren't generic. They were backed by their own sales data.

List view

Menu insights list view

Filter by date

Menu insights filter panel

Item drilldown

Menu insights item detail

Chart view

Menu insights bar chart