Helixor is an optimization engine for availability, pricing, and staffing — verifying every commitment before it's made, computing optimal rates in real time, and re-optimizing operations the moment demand shifts. Every booking a solved constraint problem. Every rate computed, not looked up.
A walked guest. An overbooked flight. A reservation confirmed for a table that's already full. These are not edge cases to be managed — they are the predictable outcome of availability systems that approximate rather than verify. Helixor verifies exactly what exists before any commitment is made.
Legacy property management and reservation systems use probabilistic availability estimates — "likely available" rather than "verified available." Under high-demand conditions with concurrent booking attempts, these approximations produce overcommitments. Helixor treats every booking as a constraint satisfaction problem: the room, seat, or table is verified before the confirmation is issued. Not approximated.
Rate-setting across thousands of room types, demand segments, booking windows, and competitive signals cannot be reduced to a price grid. It is a high-dimensional optimization problem that changes in real time. Helixor computes optimal price points against current constraint states — demand, inventory, competitive rates, and margin requirements — at the speed the market moves.
Labor laws, union rules, forecasted occupancy, service level commitments, and real-time call-outs create a scheduling problem that spreadsheets cannot solve optimally. Helixor treats the shift plan as a live constraint problem — re-optimizing automatically when someone calls in sick, a group reservation changes, or occupancy projections shift.
A conference group needing 400 rooms across 3 properties over 4 nights, with specific room-type requirements and meal-function constraints, is not a problem a property management system was built to solve. It is a combinatorial optimization problem. Helixor resolves it with constraint enforcement across all properties simultaneously, with instant replanning when any requirement changes.
Every booking attempt — hotel room, seat, table, event ticket — runs through Helixor's constraint engine before a confirmation is issued. Exact availability, not probabilistic availability. No commitment is made unless the constraint is satisfied.
Real-time price optimization across the full inventory — incorporating demand signals, booking pace, competitive rates, length-of-stay patterns, and margin constraints simultaneously. Every rate is computed, not looked up.
Overbooking strategy, upgrade decisions, displacement analysis, and group vs. transient mix — optimized simultaneously against current booking position, forecast, and property-specific business rules. Helixor replans the yield strategy in real time as conditions evolve.
Front desk, housekeeping, F&B, and banquet staffing — computed against current occupancy forecasts, labor rules, union constraints, and service level requirements. Re-optimized automatically when conditions change, without manual rescheduling.
Room blocks, meal functions, AV requirements, breakout spaces, and billing configurations across multi-day events — resolved simultaneously with constraint enforcement across all dimensions. No manual coordination between inventory systems.
Restaurant seating capacity, turn time optimization, menu item availability, and kitchen staffing — managed as an integrated constraint problem. Every reservation is constraint-verified against actual capacity. Every table turn is optimized. No double-books.
Helixor runs availability, pricing, and yield as a continuous optimization problem — verifying constraints before every commitment, re-computing rates as demand signals shift, and repairing staffing plans the moment occupancy changes. Not batch jobs. Not scheduled updates. A live optimization engine that never stops running.
Active conversations with hotel groups, airlines, and restaurant operators. Tell us where availability failures cost you the most.