Lilac Voice AI
ShutdownWebsite unreachable since Oct 19, 2026
Lilac Voice AI automates order-taking for quick service restaurants using a voice AI platform that integrates with POS and KDS systems. Its NLP technology accurately processes complex orders and drives upsells, reducing labor costs and improving operational efficiency.
Funding
Raised to date
$500KRaised 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
Quick service restaurants face challenges in efficiently managing high volumes of customer orders across multiple channels, leading to potential order inaccuracies, increased labor costs, and missed revenue opportunities from upselling.
Solution
Lilac Voice AI provides a domain-specific voice AI platform designed to automate order-taking for quick service restaurants across drive-thrus, phone lines, and reservation systems. The AI leverages natural language processing to understand complex orders and conversational language, facilitating smart upsells to increase average order value. By integrating seamlessly with existing Point of Sale (POS) and kitchen display systems, Lilac Voice AI streamlines operations, reduces labor overhead, and enhances the overall customer experience.
Target Audience
The primary customers are quick service restaurant operators and franchise groups seeking to automate order-taking, reduce labor costs, and improve operational efficiency.
Features
- Natural Language Processing (NLP) for accurate understanding of complex orders and special requests.
- Contextual, AI-driven upsell prompts to increase average order value by 15-20%.
- Real-time integration with leading POS systems (e.g., Toast, Square, PAR POS, Aloha) and communication systems (e.g., HME, PAR Headsets, Twilio).
- Direct integration with Kitchen Display Systems (KDS) for immediate order processing.
- An analytics dashboard providing insights into order patterns, peak hours, and customer preferences.
- Multi-language support to accommodate diverse customer bases.
- Enterprise-grade security with bank-level encryption and robust data protection protocols.
- Proprietary AI models achieving 98% order accuracy in noisy environments.