Guest-first iOS with AI booking assistants and offline-first reliability.
Hospitality iOS demands reliability above all: offline-first sync when hotel WiFi is unreliable, multi-language support for international guests, and smooth integration with legacy PMS and booking systems that were never designed for mobile. I've integrated AI booking assistants that reduced support ticket volume by 35%.
Why it's hard
Hotel WiFi and roaming data make connectivity unpredictable. Hospitality apps must queue actions, sync intelligently, and never lose a booking or check-in action due to network failure.
Property management systems (Opera, Mews, Apaleo) expose APIs that were designed for desktop software. Mobile integration requires careful mapping, error handling, and often OAuth flows the PMS vendor didn't fully document.
International hotel brands serve guests in Arabic, Chinese, Japanese, and European languages. RTL layout requires more than flipping a flag — it affects every Auto Layout constraint and SwiftUI alignment.
AI booking assistants that fail silently or return hallucinated room availability destroy guest trust instantly. Graceful fallback, confidence thresholds, and clear error states are as important as the AI feature itself.
What I bring
Shipped work
−35%
Support tickets
Integrated a server-side LLM booking assistant into an existing iOS hospitality app. Streaming conversation UX, graceful fallbacks, and < 2s first-token latency.
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