Open Source AI Voice Agent SDK
Integrate voice into your apps with VideoSDK's AI Agents. Connect your chosen LLMs & TTS. Build once, deploy across all platforms.
Star us on GitHubOverview
Lilaclabs provides domain-specific Voice AI solutions tailored for the Quick Service Restaurant (QSR) industry. Our enterprise-grade AI transforms restaurant operations by automating order-taking across key channels, including drive-thru, phone orders, and reservations. Lilac Voice AI acts as an intelligent team member, streamlining processes, reducing labour costs by up to 30%, and boosting revenue through smart upsells (15-20% higher average order value). Modernise your restaurant experience with industry-leading 98% order accuracy and seamless integration with existing tech stacks.
How It Works
- Receive Order: AI greets customers and takes orders using natural, conversational language, accurately handling complex requests and special instructions.
- Smart Upsell: Contextual, intelligent suggestions to increase average order value.
- Confirm & Send: Orders are instantly processed and sent to your existing POS and KDS for fast preparation.
- One-Click Activation: Activate Lilac Voice instantly in the drive-thru.
- Flexible Deployment: Easily toggle AI on/off during peak or off-peak hours to manage service levels without overstaffing.
Use Cases
Drive-Thru Order Automation
Automate and streamline drive-thru order-taking with 98% accuracy, faster responses, and upselling to increase average order values.
Phone Order Automation
Ensure every phone order is promptly answered and processed accurately with intelligent, conversational AI.
Reservations Management
Streamline reservations and boost convenience with AI-driven voice interactions, improving efficiency for staff and customers alike.
Features & Benefits
- Natural Language Processing (98% accuracy)
- Real-time integration with POS, kitchen, loyalty, and online ordering systems
- Kitchen Display System (KDS) integration
- Analytics dashboard for actionable insights
- Multi-language support
- Enterprise-level encryption & security
- No hardware purchase required
- No AI model build-out fee (pre-trained)
- Reduced labour costs (up to 30%)
- Increased revenue via upsells/cross-sells (15-20% higher order value)
- Enhanced customer experience (zero wait time, fast/human-like responses)
Target Audience
- Quick Service Restaurant (QSR) chains
- Individual QSR operators & managers
- Restaurants seeking to modernize drive-thru and ordering processes
Pricing
- No upfront investment required
- No hardware purchase needed — integrates with your existing systems
- No AI model build-out fees — pre-trained for your menu & specifics
- For detailed pricing plans, please contact our team for a demo
FAQs
What is Lilac Voice AI?
Lilac Voice AI is a domain-specific artificial intelligence solution built for the Quick Service Restaurant (QSR) industry to automate order-taking at drive-thrus, via phone, and for reservations.
How accurate is Lilac Voice AI?
Our proprietary AI models achieve an industry-leading 98% order accuracy, even in noisy environments and with complex orders.
Does Lilac Voice AI require new hardware?
No, Lilac Voice AI integrates seamlessly with your existing drive-thru communication systems and Point of Sale (POS) systems, requiring no additional hardware purchases.
Can Lilac Voice AI upsell customers?
Yes, our AI consistently offers contextual suggestions for upsells and cross-sells, which can increase your average order value by 15-20%.
What POS systems does Lilaclabs integrate with?
Lilaclabs integrates with leading POS systems such as Toast, Square, PAR POS, and Aloha, ensuring real-time order processing.
How does Lilac Voice AI help reduce labour costs?
By automating the order-taking process, Lilac Voice AI frees up your staff to focus on other critical tasks, allowing managers to optimise workforce allocation and potentially reduce labour costs by up to 30%.
Open Source AI Voice Agent SDK
Integrate voice into your apps with VideoSDK's AI Agents. Connect your chosen LLMs & TTS. Build once, deploy across all platforms.
Star us on GitHub