Case study

Enterprise Booking Platform

A booking platform serving multiple properties and channels, rebuilt around a single availability model and a back-office console operators actually wanted to use.

Client type
Multi-property hospitality group (sample scenario)
Industry
Travel & Hospitality
Duration
9 months

Sample contentSample engagement. Illustrative scenario used while the site is in build — not a named client project.

travel and hospitality2025

Enterprise Booking Platform

  • Kotlin
  • Spring Boot
  • PostgreSQL
  • Redis

Availability was calculated in three places with different rules, producing overbookings during peak weeks. Channel synchronisation ran on a fifteen-minute cron, and the operations team maintained a parallel spreadsheet to compensate.

One authoritative availability service with pessimistic locking on the critical path, event-driven channel synchronisation, and a rebuilt operations console designed around the actual front-desk workflow.

Revenue management gained same-day pricing reaction across channels, and the operations team stopped spending its mornings reconciling two versions of the truth.

  1. 01Two weeks of on-site observation of front-desk and revenue workflows
  2. 02Availability model unified into a single service with explicit invariants
  3. 03Channel synchronisation moved from polling to event-driven updates
  4. 04Operations console rebuilt around the real task sequence, not the data model
  5. 05Load testing against three years of historical peak booking traffic

The spreadsheet was the specification

The parallel spreadsheet the operations team maintained turned out to be the most accurate description of how the business actually worked. Reading it carefully removed weeks of requirements workshops and surfaced three rules the original system had never implemented.

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