Slang

Slang is an AI-powered voice assistant designed specifically for the hospitality industry, particularly full-service restaurants. Its core value proposition is to automate inbound phone calls completely, ensuring that no customer call goes unanswered, which directly translates to capturing more reservations, reducing missed opportunities, and alleviating the burden on staff during peak hours. By handling routine inquiries and bookings 24/7, it enhances operational efficiency and improves the overall guest experience from the first point of contact.

Key features: The system can answer every call instantly, greet callers, and understand natural language questions about hours, location, menu items, or dietary restrictions. It manages the entire reservation process, checking real-time availability, booking tables, and sending confirmation details via SMS or email. For more complex requests, it can seamlessly transfer the call to a live staff member. The platform also provides real-time monitoring and analytics dashboards, offering insights into call volumes, common questions, and reservation trends, allowing managers to optimize their operations and staffing.

What sets Slang apart is its deep specialization in the restaurant vertical. Unlike generic conversational AI platforms, it is pre-trained on industry-specific terminology and scenarios, leading to higher accuracy and more natural interactions. It integrates directly with popular reservation and table management systems like OpenTable, Resy, and Yelp Reservations, ensuring that booking data is synchronized in real-time without manual entry. The technology focuses on delivering a high-quality, brand-appropriate voice that maintains a professional and welcoming tone for guests.

Ideal for full-service restaurants, hotel dining outlets, and any hospitality business that receives a high volume of phone inquiries for reservations and information. It is particularly valuable for establishments struggling with staffing shortages, missed calls during busy periods, or those aiming to provide consistent, 24/7 customer service. Use cases include automating call handling during off-hours, managing reservation surges during promotions or holidays, and collecting structured guest feedback post-call to improve service quality.

Pricing starts from $299 per month for the core service, with custom enterprise plans available for larger restaurant groups or those requiring advanced integrations and dedicated support. The platform operates on a subscription model, and the return on investment is often realized through increased reservation capture rates and reduced labor costs associated with phone management.