Custom Software for Hospitality — Win Direct Bookings, Delight Guests, Stay PCI-Safe

Hospitality inventory is perishable in a way few products are — an unsold room-night or an empty table at 8 p.m. is revenue that is gone forever. That puts enormous pressure on the booking funnel, the rate logic, and the channel mix. Meanwhile the OTAs take fifteen to twenty-five percent of every reservation they send, so a property that cannot win direct bookings is handing margin to a middleman on every stay.

We build the software that captures more direct revenue and runs the operation behind it. A fast, mobile-first booking engine with real-time availability synced to your PMS. Guest apps with mobile check-in and digital keys. Loyalty programs that give guests a reason to book direct next time. And it is all wired with payment security as a first principle, because hospitality is one of the most-breached sectors in the economy and a card-data incident can end a property's reputation overnight.

Rate and availability logic is deceptively hard. A single room type can carry a dozen rate plans, length-of-stay restrictions, channel-specific pricing, and parity rules that the OTAs enforce contractually. Availability changes by the hour as bookings land across multiple channels. Get the sync wrong and you either oversell — and walk a guest at midnight — or undersell and leave money on the table. The booking engine has to be exactly consistent with the PMS, in real time, across every channel.

The integration surface compounds it. A reservation touches the PMS, a channel manager, the OTA connectivity layer, a payment gateway, and increasingly a lock vendor for keyless entry. A restaurant order touches the POS, the kitchen display, online ordering, and delivery aggregators. Each system has its own API, its own latency, and its own idea of the truth. We have wired these stacks before and know where the time goes — usually in the rate-and-availability reconciliation and the payment boundary, not the front end.

PCI-DSS. Hospitality processes high volumes of card data across many endpoints — booking engine, front desk, restaurant, spa, parking. Our default architecture tokenizes cards with Stripe Elements or a PCI-validated gateway so you stay in the lightest SAQ scope. We never store raw PAN data, and we document the card-data boundary honestly where front-desk or incidental capture is unavoidable.

Point-of-sale malware and breach history. The sector is a top breach target, and POS-resident malware that scrapes card data has cost major brands dearly. We isolate the payment path, harden the endpoints we control, and instrument the booking and payment flows so anomalous activity surfaces fast.

Guest PII and privacy. Guest profiles, loyalty data, and stay history are attractive and increasingly regulated. We minimize what we store, encrypt PII at rest and in transit, and support data-access and deletion requests where state privacy laws require them.

Account takeover and loyalty fraud. Loyalty points are a currency, and points-draining fraud is real. We wire MFA on accounts that hold value, rate-limit redemption, and log the activity needed to claw back fraudulent transactions.

Rate-parity and contractual obligations. OTA contracts often impose rate-parity rules. We do not give legal advice, but we build the rate logic and audit trail your revenue and legal teams need to manage parity deliberately rather than by accident.

Next.js 16 on the App Router with React and TypeScript end-to-end for booking engines and dashboards; React Native or a progressive web app for the guest-facing mobile experience. Postgres for the system of record, with Stripe for tokenized payments so PCI scope stays light. Prisma or Drizzle as the type-safe ORM. A background worker layer (Inngest or BullMQ on Redis) for availability sync, channel updates, and loyalty rollups.

PMS, POS, and channel-manager integrations get a normalized model so availability and rate data are consistent regardless of the upstream vendor. Lock-vendor SDKs (Assa Abloy, Salto, Dormakaba) power keyless entry where the property supports it. Sentry plus a log aggregator for observability, with card-data and PII redaction in the logger. The web tier deploys to Vercel; the payment and data plane move to a hardened, PCI-scoped environment when card flows require it.

First, a booking engine that is not truly real-time with the PMS. A cached availability layer feels faster until it oversells a room and the property has to walk a guest at midnight. Availability and rate sync has to be authoritative, not eventually consistent, for the inventory that matters.

Second, treating payment security as a launch-week checkbox. Hospitality is a top breach target, and a card-data incident is existential for a property's reputation. The payment boundary belongs in the first architecture diagram, with tokenization at the edge and the PCI scope mapped honestly — not retrofitted after a QSA flags it.

Third, building features no guest uses. Operators get pitched augmented-reality lobby tours and AI concierges before they have a booking flow that loads fast on a phone. The revenue is in the fundamentals — fast direct booking, frictionless check-in, a loyalty reason to come back. We push hard to ship those first.

Hospitality software touches guest payment data and runs the revenue engine of the property. You do not want the payment boundary designed by a contractor overseas who rotates off before the first PCI review. We are US-based and founder-led, and the person who designs your card-data flow is reachable when a gateway changes its API or a channel manager starts returning bad availability.

William Beltz writes or reviews every line that touches guest payments, rates, and reservations. NDAs are mutual and signed before discovery. Source code lives in your GitHub organization, not ours. The handoff is documented for either ongoing collaboration or in-house ownership — your call.

Hotels and restaurants are among the most-breached sectors because they process card data and guest PII across many endpoints. We run penetration tests mapped to the MITRE ATT&CK techniques hospitality attackers actually use — point-of-sale malware, credential theft, and booking-engine fraud — then deliver a heatmap of which techniques succeed, which get detected, and which get blocked.

For the booking engine, guest app, and loyalty surfaces that carry payment and guest data, web application penetration testing covers authentication, the payment boundary, and the API surface that ties into your PMS and POS. Every finding maps to ATT&CK technique IDs so your team knows what to alert on.