The intelligence layer
Turn hotel data into a daily linen operating plan.
LinenAI connects occupancy, laundry, closet inventory, housekeeping requests, purchasing history, and RFID events—then tells each team what linen is needed, where, and when.
Integrated operations
One decision layer across the linen lifecycle.
Cloud Linen brings fragmented hotel signals into a single operating record. Autopilot uses mobile and operational inputs; Pro adds automated RFID events.
LinenAI
Forecast. Decide. Coordinate.
LinenAI compares future demand with every known source of available inventory, identifies the gap, and converts that decision into work for laundry, housekeeping, runners, and purchasing.
How the intelligence works
From integrated data to measurable action.
LinenAI is not a reporting layer that only explains yesterday. It continuously translates operating data into the next best linen decision.
Predict demand
Translate occupancy, checkouts, room turns, and historical usage into expected item demand.
Locate available supply
Compare laundry, transit, closets, carts, and floor inventory against the forecast.
Coordinate the shift
Prioritize laundry production, runner tickets, closet replenishment, and team follow-up.
Lower total inventory
Use actual movement and service outcomes to safely reduce par and purchasing.
One platform, role-based decisions
Give every linen stakeholder the same operating truth.
Each role sees the information needed for its decisions while contributing to the same inventory, demand, and fulfillment history.
Directors and assistants
See total inventory, par exposure, laundry discrepancies, linen spend, service levels, and upcoming risk.
Supervisors and runners
Work from one prioritized queue with assigned requests, delivery details, status, and verification.
Housekeepers and laundry teams
Request linen, update closet availability, verify deliveries, and surface shortages from the mobile app.
Continuous improvement
Every shift makes the next plan smarter.
LinenAI creates a compounding operational dataset that becomes more valuable as the hotel uses it.
Learn true consumption
Replace fixed assumptions with usage patterns connected to occupancy, room turns, and service activity.
Understand movement
Track how linen moves among laundry, transit, closets, carts, floors, and exceptions.
Measure service
Connect every request with assignment, response time, delivery, and inventory impact.
Build the operating history before adding hardware.
Start with Autopilot, prove the economics, and add RFID when item-level automation creates additional value.