In 2021, 94% of U.S. hotels (AHLA) and 70% of Canadian hotels (HAC) faced staffing shortages, with front desk roles among the hardest to fill. With limited staff, missed customer calls in hotels and restaurants lead to lost bookings, reduced revenue, and long-term business impact.
Our client DialogueBird wanted to solve this problem by creating an AI based voice assistant who can replace receptionist at hotels and restaurants primarily to book rooms and table reservations
Analyzed restaurant call patterns, peak hours, and customer inquiries to design an AI-driven phone assistant that ensures seamless customer interaction.
Built a conversational AI model using speech recognition, Natural Language Processing (NLP), and Text-to-Speech (TTS) to understand, process, and respond to customer queries naturally.
Enabled real-time order updates, reservation handling, and menu inquiries by integrating the AI system with restaurant POS and booking platforms.
Trained the AI with diverse datasets to improve response accuracy, added context retention for follow-ups, and fine-tuned call flow automation for a seamless experience.