Shifti AI

Who ShiftiAI Is For?

Healthcare, Hospitality and hotels, Retail, Contact Centers & More

See how ShiftiAI optimizes shift scheduling for healthcare, retail, contact centers, logistics, manufacturing, and public services.

Who It’s For

ShiftiAI is built for teams that live on shifts. Our AI turns staffing requirements and employee preferences into fair, compliant schedules—fast—whether you run a hospital ward, a store network, a contact center, or a warehouse.

Healthcare

One-liner: Skills-aware nurse scheduling that balances coverage, rest rules, and staff preferences.

Typical challenges

  • Skill mix per shift (RN, LPN, specialty certifications)
  • Rest and overtime rules; union requirements
  • Last-minute call-outs and floating across units Fatigue and burnout, and under-performing

How ShiftiAI helps

  • Collect willingness and time-off in the Personnel Portal
  • Encode rest rules, max hours, and skill mix in the Planner Portal
  • One-click AI optimization; neutral defaults for non-respondents
  • Float pool support and cross-unit coverage
    Balance fatigue and reduce burnout among healthcare staffs

Outcomes

  • Higher coverage with correct skill mix
  • Fewer compliance conflicts and overtime spikes
  • More equitable weekend/night distribution
    happier, healtheir and satisfied nurses

Retail & Hospitality

Demand-aligned rosters that reduce overtime and cover peak hours across stores and venues.

Typical challenges

  • Peaks by daypart and promotions
  • Part-time blends and fairness across weekends
  • Multi-store coverage and last-minute swaps

How ShiftiAI helps

  • Coverage by hour/day with demand targets
  • Fairness rules and overtime thresholds
  • Multi-location scheduling with role/skill tags (cashier, barista, FOH/BOH)

Outcomes

  • Better peak coverage, fewer understaffed hours
  • Lower overtime and more predictable rosters
  • Faster schedule publication

Manufacturing & Production

Line coverage with skill matrices, rotation patterns, and compliance built in.

Typical challenges

  • Skill matrices per machine/line
  • Rotation patterns (2-2-3, 4-on/4-off)
  • Planned maintenance and downtime

How ShiftiAI helps

  • Encode rotations and skill requirements
  • Balance fairness while meeting throughput
  • Live validation when planners adjust

Outcomes

  • Fewer unstaffed lines; smoother rotations
  • Lower overtime and rework from fatigue