Mathematical optimization builds your conflict-free staff schedule in under 60 seconds. Morning prep, lunch rush, dinner service, closing — all covered. Free forever.
Every week, the same ritual. Juggling server availability, figuring out who can work the line, making sure you have enough closers. Two hours minimum. Often four.
"Can someone cover my Thursday dinner?" "I need to swap my Friday close." Your phone never stops buzzing — even during service.
Your best server calls in sick two hours before the dinner rush. Now you're scrambling to cover the floor instead of running your restaurant.
You need strong coverage on Friday and Saturday nights. Your staff all want those shifts off. Someone is always unhappy. And unhappy staff leave.
Add your team. Set your coverage needs. Hit generate. A conflict-free schedule appears in under 60 seconds — balanced across every station and every daypart.
Your server needs Friday dinner off. She requests a swap from her phone. Schedulix verifies coverage, checks the replacement can work the station, and auto-approves safe swaps. No texts at 10pm.
Other tools give you a canvas.
We give you the finished schedule.
Schedulix doesn't do drag-and-drop as a feature — it does it as a fallback. The goal is for you to never need it.
Under the hood, Schedulix runs a constraint-optimization solver (the kind of math used to schedule airline crews, hospital staff, and factory floors) against your staff, your stations, your coverage needs, and your team's preferences. It considers thousands of valid schedules and picks the best one.
Every competitor on the market uses rule-based auto-fill. That's not optimization. That's automation. The difference shows up in the schedule you get on the other side — and in how much of your Sunday night you get back.
I used to spend every Sunday evening building next week's schedule. Now I generate it in under a minute. I finally have my weekends back.
Free forever. Fifteen minutes to set up. Already running in 37 restaurants. Your next schedule is 60 seconds away.