Property Management System Development for the Travel & Hospitality Industry

Inventory, rate plans, and booking state live here, and every other part of the system reads from it. We treat concurrency as the first design problem, because two channels selling the same room in the same second is a normal Tuesday, not an edge case.

Every OTA has its own idea of what a rate plan is and how fast it expects updates. We build the sync layer that keeps availability honest across them, with retry logic for the connections that go quiet without telling anyone.

Housekeeping status, maintenance queues, and staff assignments follow rules that differ by property and rarely survive contact with an off the shelf tool. This is where clients ask for their own logic most often.

Finance needs numbers that reconcile with the payment provider down to the folio. We build the ledger side carefully, since a reporting bug found in month nine usually means nine months of figures nobody trusts.

Guest records arrive duplicated from every channel, and merging them wrong means two people share one loyalty balance. We build the matching rules and keep the audit trail intact, so a merge can be undone when it turns out to be wrong.

Check-in runs while someone waits at the counter, which sets a hard ceiling on how slow a screen can be. We build the booking widget and the desk interface against the same availability logic, so what a guest sees and what staff sees never disagree.

We design the data model for room inventory and rate plans before feature work starts, since that schema is the hardest thing to change later. Booking engine and back office come after the core holds.

The client has outgrown a hosted PMS and needs the same operations running on software they control. We rebuild the reservation and rate logic on an owned stack, matching current behaviour first and improving it second.

Channel managers, payment gateways, and accounting systems all describe a booking differently, and the disagreements surface as double sales or missing folios. We build the translation layer that reconciles those definitions, including the edge cases where one system considers a record cancelled and another still holds inventory against it.

We map historical reservations, guest records, and financial history onto the new schema, then reconcile the two datasets before anyone stops using the old one. Parallel running through a full booking cycle catches what the mapping missed.

The system stays, and a piece of it gets built or replaced. Housekeeping status, group blocks, or dynamic pricing tend to be the modules clients want written to their own operating rules.

Someone has to handle the OTA that changes its API without warning. We keep the integrations current, patch dependencies, and stay available for the incidents that happen at the wrong hour.