Slang.ai provides a voice AI system specifically designed for restaurants, enabling automated call handling for reservations and customer inquiries without human intervention. This technology reduces unanswered calls by over 80% and saves restaurants an average of 200 hours per month, enhancing operational efficiency and customer satisfaction.
Funding
$20.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Restaurants often struggle to manage incoming calls efficiently, leading to unanswered calls, long wait times, and frustrated customers. Staff are frequently pulled away from serving in-house diners to answer routine inquiries, impacting overall service quality and operational efficiency.
Solution
Slang.ai offers a voice AI solution tailored for restaurants, providing automated call handling for reservations, FAQs, and other customer inquiries. The AI system understands various accents and responds in real-time, eliminating the need for manual intervention. By automating call management, Slang.ai reduces the number of unanswered calls, frees up staff to focus on in-house customers, and enhances the overall customer experience. The platform integrates with existing phone systems and can be customized with different voices and soundscapes to align with the restaurant's brand.
Target Audience
The primary target audience includes restaurant owners, managers, and operators looking to improve call handling efficiency, reduce staff workload, and enhance customer service.
Features
- AI-powered voice assistant designed specifically for restaurant call management
- Automated answering of frequently asked questions (FAQs)
- Reservation booking and modification capabilities
- Integration with OpenTable
- Customizable voice and soundscape options
- Real-time analytics dashboard to monitor call volume and customer satisfaction
- Call routing to direct specific inquiries to the appropriate staff members