📄 中文摘要
去年,作者开始构建一个 AI 语音助手,旨在为餐厅接听电话。观察发现,餐厅在繁忙时段错过了大量电话,这直接导致了收入损失。在动手编码之前,作者与约 30 位餐厅老板进行了交流,发现高峰时段(如午餐和晚餐高峰、周末)员工忙于服务顾客,无法接听电话,导致电话转入语音信箱,且几乎没有人留言。通过这些调研,作者明确了项目的方向和需求,最终设计出了一种高效的解决方案,以帮助餐厅减少错失的电话和潜在的收入损失。
📄 English Summary
How I Built an AI Voice Agent That Answers Restaurant Phone Calls
Last year, the author began building an AI voice agent designed to answer phone calls for restaurants. The motivation stemmed from the observation that restaurants miss a significant number of calls during busy hours, leading to direct revenue loss. Before writing any code, the author spoke with around 30 restaurant owners and found a consistent pattern: during peak hours (lunch rush, dinner rush, weekends), staff are too occupied serving in-house customers to answer the phone. Calls often go to voicemail, and callers rarely leave messages, opting instead to call the next restaurant. This research helped clarify the project's direction and requirements, ultimately leading to an efficient solution aimed at reducing missed calls and potential revenue loss for restaurants.
Powered by Cloudflare Workers + Payload CMS + Claude 3.5
数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等