ShiftWiz started at a single coffee shop. That is where the engine was built, tested, and refined. But the origin story is not a ceiling. It is just a starting point.
The scheduling problems that make a 15-person coffee shop hard to manage are the same problems that make a 300-person hotel hard to manage. They are bigger, more complex, and more expensive when they go wrong. But they are the same problems: availability constraints, certification requirements, fairness across a team, labor compliance, coverage gaps, shift preferences that need to be respected over time.
ShiftWiz's engine was built to solve these problems at the level of the underlying mathematics, not at the level of a specific industry or team size.
The engine is data-driven, not industry-specific
The core of ShiftWiz is a constraint satisfaction engine with simulated annealing optimization. It does not know it is scheduling baristas. It knows it has a set of shifts that need to be filled, a set of employees with constraints attached to them, and a scoring function that defines what "good" means.
Feed it 10 employees and it generates a schedule for 10 employees. Feed it 400 employees across multiple locations and it generates schedules for each location independently, respecting multi-location assignments. The algorithm scales with the problem, not the other way around.
What changes at larger scales is not the approach, it is the data. More employees means more constraints to satisfy, more fairness history to track, more certifications to match. The engine handles all of this because it was designed around constraint satisfaction as a general framework, with ShiftWiz-specific scoring dimensions on top.
Industries where ShiftWiz fits
Any operation that has these things in common with what ShiftWiz was built for is a natural fit:
- Shifts with defined start and end times. Whether those are 4-hour coffee shop slots or 12-hour hospital floor rotations, the structure is the same.
- Employees with varying availability. Students, part-timers, employees with second jobs, people with standing commitments — the engine reads availability windows and respects them as hard constraints.
- Certification or role requirements. Openers and closers at a coffee shop, licensed nurses on a floor, forklift-certified operators in a warehouse, security-cleared staff at a facility. ShiftWiz treats these as non-negotiable constraints before any assignment is made.
- Fairness requirements over time. Weekend rotation, shift-type distribution, hour balance. The engine tracks this across weeks and factors it into every new schedule.
- Labor budget constraints. The engine can work within a weekly labor cost target and score schedules on cost efficiency alongside coverage and fairness.
Coffee shops, restaurants, bars, hotels, retail chains, event staffing companies, gyms, clinics, logistics teams, security firms. If your operation has shifts, it has the scheduling problem ShiftWiz solves.
Multi-location support is built in
ShiftWiz supports multiple locations under a single account. Each location has its own store hours, shift templates, employee roster, and schedule. Employees can be assigned to multiple locations. Managers can be scoped to specific locations or given visibility across all of them.
This is not a bolt-on feature. Multi-location isolation is baked into the architecture of ShiftWiz from the ground up: every request is location-scoped, every schedule generation is location-specific, and every fairness calculation is tracked per location. A chain of five restaurant locations can run ShiftWiz across all of them with no data bleed between sites.
The API for even bigger scale
For organizations that want to integrate ShiftWiz's scheduling intelligence into their own systems, the engine is available as a standalone API. Send a JSON payload with your shifts, employees, availability, and constraints. Get back an optimized schedule, a quality score, and a breakdown of the result.
This means ShiftWiz's engine can power scheduling inside platforms that already exist: workforce management systems, HR platforms, custom-built operator tools. The intelligence is separable from the interface.
Flat pricing that does not punish growth
Most scheduling tools charge per seat. At $3 to $5 per employee per month, a team of 50 costs $150 to $250 per month. A team of 200 costs $600 to $1,000 per month. The pricing model penalizes growth and creates a perverse incentive to keep teams small or undercount employees in the system.
ShiftWiz is $29 per month regardless of team size. A 10-person coffee shop and a 300-person hospitality operation pay the same amount. The tool gets more valuable as your team gets bigger (more constraints to track, more fairness history to manage), and the pricing does not fight that.
Where ShiftWiz is going
zBeans was where I proved the engine works in the real world. It is not where the engine stops. The same technology that solved Cassidy's scheduling problem on a 15-person coffee shop team is the foundation for scheduling at any scale, in any industry, for any operation where people work shifts and someone has to figure out who works when.
That is a very large problem space. ShiftWiz is built for all of it.