Restaurant Management System in Ithaca, New York

We rebuilt their entire workflow around a custom Laravel backend that pulls real-time inventory from their local farm suppliers via REST APIs, so each time the farm delivers kale, the system automatically deducts it from the daily special prep sheet. The React frontend shows the chef exactly what’s available for tomorrow’s menu at 6 AM, before the first delivery arrives. Staff scheduling shifted from a shared Google Sheet to a mobile app that syncs with the master calendar, cutting their scheduling time by 80%. Most importantly, the POS no longer freezes during dinner rush on Saturday nights when half the town is ordering the same limited-time special.

Ithaca’s restaurant scene is unique because it blends college-town volume with farm-direct sourcing. A single Friday night can see a 14-line ticket rush followed by a Saturday brunch where half the orders are custom substitutions based on what’s fresh at the farmers market that morning. A generic POS isn’t built for that kind of variability. A custom system is. We’ve built systems that handle the 400-seat banquet hall at Cornell’s Statler Hotel while also managing the 12-seat wine bar down the street, all on the same codebase.

The toughest part of restaurant software isn’t the menu management, it’s the silent dependencies. Your inventory depends on supplier delivery times, your staffing depends on predicted covers, and your revenue depends on both. A restaurant in Ithaca can lose $3,000 in one night if the system mistakes a supplier delay for actual sales, so we build in buffer alerts. When the farm’s truck is delayed by two hours, the system automatically notifies the chef and adjusts prep sheets before the first server even clocks in.

We don’t build restaurant software that feels like an accounting package bolted onto a cash register. Every screen in the system is designed for the person who actually uses it: the line cook sees prep sheets on a tablet mounted above the cutting station, the host sees a real-time floor plan on a tablet at the podium, and the owner gets a dashboard that shows which specials are driving profit margins in real time. The navigation matches the flow of a restaurant shift, not the flow of a spreadsheet.

One Ithaca pub was losing $800 a week because their old system couldn’t track beer keg levels accurately. Each time a keg was tapped, they had to guess how many pints were left based on memory. We integrated Bluetooth-enabled flow meters that update the system in real time, so the bartender knows exactly when to order the next keg and the owner knows exactly how much inventory is tied up in those half-empty kegs. The system even suggests pairing suggestions based on current keg levels to move slow-moving stock.