Hospitality Web Services

The situation. A 40-room boutique property sends roughly 75% of its bookings through OTAs, paying 15–18% commission on each. Its own website takes almost nothing directly — there’s no real-time availability, no integrated booking engine, and payment happens on arrival, so no-shows and last-minute cancellations erode revenue further. What HWS implements. Three connected layers: the PMS as the inventory source of truth, an online booking engine (OBE) wired directly to that inventory with rate parity logic, and an embedded payment layer (Atlas Pay / Payzone) that captures prepayment or guarantees the card at the moment of booking. The OBE pulls live availability from the PMS, and confirmed direct bookings write straight back — no manual re-entry. The impact. • Revenue / margin: every point of OTA share shifted to direct booking converts a 15–18% commission into near-zero acquisition cost. Moving even 15 points of volume to direct is a direct margin gain on that revenue, not a marginal one. • Cash flow & risk: upfront payment capture cuts no-show losses and improves working capital — the property holds the cash instead of waiting for OTA remittance cycles.

The situation. A property group of three hotels prices reactively. Rates are set by a manager checking competitor prices a few times a week and adjusting by gut feel. Weekends and event dates get caught late, low-demand gaps go unfilled, and there’s no consistent logic across the three properties — leaving both empty rooms and underpriced peak nights on the table. What HWS implements. A data-and-automation layer built on top of the existing PMS and channel infrastructure: a rate automation engine driven by a weighted Demand Index that reads booking pace, pickup, occupancy on the books, day-of-week patterns, and local event signals. It recommends — or automatically pushes — optimized rates through the channel layer to every connected OTA and the direct booking engine. The impact. • Revenue / RevPAR: capturing demand peaks earlier and filling soft dates lifts RevPAR without adding a single room. The gain comes from pricing precision, not volume. • Operational efficiency: the revenue function stops being a daily manual chore. One analyst can oversee three properties instead of each manager pricing in isolation.

The situation. A hotel with a restaurant, a spa, and a few activity offerings runs payments through a patchwork: one card terminal at reception, a separate setup for F&B, cash for activities, and OTA remittances arriving on their own delayed cycles. Reconciliation is a manual end-of-month exercise, settlement timing is unpredictable, and the property has no consolidated view of what a single guest actually spent across the stay. What HWS implements. A unified payment layer — Atlas Pay — connecting multiple acquirers (Payzone, Lana Cash) beneath a single wallet that spans the whole guest journey: booking deposit, room folio, F&B, spa, and activities. Every transaction posts back against the guest profile in the PMS, so the folio and the payment record are one continuous ledger rather than separate silos. The impact. • Operational efficiency: reconciliation collapses from a month-end manual chore into an automated, continuous match. Staff stop chasing which terminal captured what. • Cash flow: consolidating acquirers and capturing payment across all

The situation. A hotel with a restaurant runs rooms and F&B as two separate businesses with two separate systems. The restaurant POS doesn’t talk to the PMS, so a guest’s dinner can’t post to their room folio, in-house guests get treated like walk-ins, and management has no view of what a guest is actually worth across the whole stay — only what they spent on the room. What HWS implements. An F&B point-of-sale layer — CentraPOS — integrated to the PMS so restaurant, bar, and room-service charges post directly to the guest folio in real time. The two ledgers become one. Front desk sees total on-property spend; the kitchen and restaurant run on a system built into the same ecosystem rather than a disconnected island. The impact. • Revenue / capture: room-charge posting removes friction from in-house F&B spend — guests spend more when “put it on my room” actually works, and the property stops leaking ancillary revenue to the gap between systems. • Operational efficiency: one reconciliation, one guest record, no manual transcription of restaurant tabs onto folios at checkout. Night audit collapses two systems into one close. • Revenue insight: the property finally sees total rev