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davalexis99/case-study-1-whatsapp-booking-agent

Case 1: Professional Multi-Modal WhatsApp Hotel Booking Agent powered by n8n and OpenAI.

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SUMMARY AI要約 by gpt-5-mini

A production-ready n8n workflow that turns WhatsApp into a multi-modal hotel booking concierge. It’s aimed at hotels, reservation teams, contact-center/automation engineers and businesses that want to automate bookings and customer interactions on WhatsApp. Key features: - Multi-modal input: handles text, voice (OpenAI Whisper transcription) and images (GPT-4o vision). - Intent classification via a LangChain agent to route requests to booking, FAQ retrieval or general chat. - Booking agent with stepwise data collection and Google Calendar integration for availability checks and event creation. - Persistent session and debouncing using Redis to handle rapid messages and maintain context. - Uses Google Sheets for FAQ/pricing data and WhatsApp Cloud API as the communication channel. - Includes an importable n8n workflow and credential/config instructions.

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (1)
OpenAI
🧩 AIフレームワーク (1)
LangChain
🤖 LLMモデル (1)
GPT-4
💾 一般データベース (1)
Redis

使用言語(バイト数比)

Python
100%

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davalexis99
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日付

GitHub作成日 2026-05-16
最終Push 2026-05-16
当サイト初検出 2026-05-16
最終取得 2026-05-16 18:11

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