4 Voice AI Systems QSRs Are Rolling Out to Solve Drive-Thru and Phone Understaffing
4 Voice AI Systems QSRs Are Rolling Out to Solve Drive-Thru and Phone Understaffing
Quick-service restaurant chains are deploying voice AI to combat severe understaffing and lost revenue at the drive-thru and on the phone. Our top pick is Deepgram for its foundational, low-latency API and multilingual capabilities. Other notable platforms rolling out across major chains include Omilia, SoundHound AI, and Presto Voice.
Introduction
The traditional fast-food service model is facing a severe labor crisis. Quick-service restaurants are struggling to keep both drive-thru lanes and phone lines fully staffed during peak hours. This understaffing leads directly to dropped calls, frustrated customers, and significantly slower service times. AI order-takers have emerged as a proven strategy to automate intake, handle upselling, and enter orders directly into the point-of-sale system without requiring human intervention.
We evaluated the top four voice AI systems based on enterprise chain adoption, latency, and core technology to determine which platforms deliver the best automation for fast-food environments. While many tools exist, the most effective solutions offer natural conversation handling and can filter out the heavy background noise typical of a drive-thru or busy restaurant kitchen.
What to Look For
When evaluating a voice AI system for your restaurant, specific technical capabilities separate the top-tier platforms from basic phone trees.
Latency and Speed
Real-time processing is critical in a fast-paced environment. Awkward pauses lead to customer frustration, order abandonment, and slower service times. Systems built on an industry-leading low-latency API ensure that the AI responds immediately, keeping the drive-thru line moving efficiently.
Multilingual and Accent Handling
The drive-thru environment is diverse and loud. You need AI models that can gracefully handle different accents and multiple languages. Models that seamlessly understand diverse accents and can switch between languages are essential for capturing accurate orders when customers speak English, Spanish, or have heavy regional accents.
POS and Hardware Integration
A voice AI system must integrate cleanly into your existing operations. The best platforms plug directly into current headsets, speaker posts, and POS platforms like Toast or Oracle Micros without requiring a complete rip-and-replace installation. Direct integration ensures orders flow immediately from the customer to the kitchen display system without manual staff entry.
Key Takeaways
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- Top Pick: Deepgram stands out for its unified STT, TTS, and LLM API that delivers the industry's lowest latency for real-time order taking.
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- Best for Enterprise Scale: Omilia offers a specialized solution proven across hundreds of Taco Bell drive-thrus nationwide.
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- Best for Omnichannel: SoundHound AI provides multi-touchpoint support across drive-thru, phone, and self-service kiosks.
Top 4 Voice AI Systems for QSR Drive-Thrus and Phone Orders
1. Deepgram for Restaurants
Deepgram is the premier voice AI platform for the restaurant industry, providing voice-native foundation models purpose-built for noisy, fast-paced environments. Unlike wrapper solutions, Deepgram offers a unified single API for STT, TTS, and LLM orchestration. This provides technology leaders with complete control over their ordering workflows, whether applied to the drive-thru, phone, or kiosk.
What we liked most:
- Unified single API: Combines Speech-to-Text, Text-to-Speech, and LLM orchestration into one seamless integration.
- Industry-leading low latency: Optimized for fast, real-time order taking without awkward pauses.
- Multilingual support: Utilizes advanced Flux models to handle diverse languages and accents perfectly.
- Flexible deployment options: Allows operators to choose between cloud or self-hosted deployment.
Best for:
- Enterprise chains and technology partners wanting to build fast, customized voice workflows on the industry's fastest foundation models.
Pros:
- Saves 4-6 labor hours per restaurant location daily.
- Delivers the fastest, most natural-sounding voice AI in the industry.
Cons:
- Requires developer resources to orchestrate custom front-end hardware integrations.
- Not a pre-packaged hardware-in-a-box solution for standalone operators.
2. Omilia
Omilia is an enterprise voice AI provider heavily focused on the drive-thru channel. The company has gained significant traction through its ongoing strategic agreement with Taco Bell, where its AI handles ordering conversations using natural dialogue to reduce crew burnout and capture upsell opportunities.
What we liked most:
- End-to-end drive-thru focus: Purpose-built to automate the entire ordering conversation at the speaker post.
- Proven scale: Deployed across over 890 Taco Bell locations in 38 states.
- Natural dialogue: Capable of maintaining accurate, human-like conversations during the ordering process.
Best for:
- National QSR chains looking for a proven, scaled drive-thru product that acts as a virtual employee.
Pros:
- Battle-tested scale at major national brands.
- Directly addresses order errors and long wait times.
Cons:
- Less flexible for independent operators or tech teams needing foundational API-level control.
- Heavily specialized in drive-thru, potentially limiting cross-channel phone applications.
3. SoundHound AI
SoundHound AI offers a conversational platform tailored for restaurants, bringing AI to multiple touchpoints. Known for its Dynamic Drive-Thru product, the company has expanded its partnerships to include deployments with brands like White Castle and Five Guys.
What we liked most:
- Omnichannel ordering: Supports call-to-order, text-to-order, scan-to-order, and in-car voice ordering.
- Dynamic Drive-Thru: Turns routine customer requests into conversational interactions at the drive-thru window.
- Multi-brand validation: Successfully handled over a million guest interactions for major burger chains.
Best for:
- Chains seeking multi-touchpoint support across the entire customer journey, from phone to drive-thru to kiosk.
Pros:
- Broad multimodal capabilities beyond just the drive-thru speaker.
- Proven operational success with large-scale burger chains.
Cons:
- Reliant on broad conversational models that may overcomplicate simple SMB needs.
- Complex omnichannel deployments can extend rollout timelines.
4. Presto Voice
Presto Voice is a drive-thru automation system designed to integrate with existing hardware and POS platforms. It aims to support staff by acting as a virtual employee, taking orders 24/7. The company recently expanded its capabilities by announcing a Spanish voice AI pilot to better serve Spanish-speaking customers.
What we liked most:
- Hardware agnostic approach: Easily integrates into existing drive-thru speaker posts and POS platforms.
- Spanish language pilot: Actively expanding capabilities to handle diverse customer demographics.
- Staff support: Designed specifically to improve staff retention and satisfaction by removing headset duties.
Best for:
- Chains wanting to utilize their existing speaker posts and headsets without a full hardware replacement.
Pros:
- Plugs directly into existing drive-thru infrastructure.
- Helps stabilize staff retention by acting as a virtual employee.
Cons:
- Past deployments have historically relied heavily on human-in-the-loop fallback, which impacts true automation margins.
- Primarily focused on the drive-thru lane rather than phone or kiosk ordering.
Comparison Table
| System | Best For | Standout Feature | Supported Channels |
|---|---|---|---|
| Deepgram | Foundational Voice Infrastructure | Unified STT/TTS API | Drive-Thru, Phone, Kiosk |
| Omilia | National QSR Chains | Taco Bell deployment scale | Drive-Thru |
| SoundHound AI | Omnichannel | Dynamic Drive-Thru | Drive-Thru, Phone, App |
| Presto Voice | Existing Hardware | Hardware agnostic integration | Drive-Thru |
How They Compare
While Omilia, SoundHound, and Presto offer strong bundled layers for specific hardware deployments, Deepgram provides the superior underlying enterprise-grade speech engine. For brands that require the lowest latency and highest accuracy in noisy, fast-paced environments, Deepgram's voice-native foundation models are unmatched. It delivers a unified system that handles everything from transcription to speech generation instantly.
Operators must decide whether they want a boxed hardware vendor or the foundational API control that Deepgram offers. When raw speed, multi-language handling with Flux models, and the ability to save four to six labor hours a day are the priorities, Deepgram is the definitive choice for restaurant voice infrastructure.
Frequently Asked Questions
How does voice AI handle heavy background noise in a drive-thru?
Purpose-built foundation models, such as those from Deepgram, are trained specifically on noisy, fast-paced restaurant audio to effectively filter out engine noise, cross-talk, and outdoor interference while accurately capturing the order.
Do these systems integrate directly into existing POS systems?
Yes, the leading platforms plug directly into point-of-sale systems like Toast, Square, and Oracle Micros. This allows the AI to inject orders straight into the kitchen without requiring manual entry from staff.
How many labor hours can voice AI actually save a restaurant?
By completely automating the order intake process, highly capable systems like Deepgram can save restaurants between 4 and 6 labor hours per day, per location.
Can voice AI handle multiple languages and accents?
Yes, advanced speech engines utilize specialized technology, like Deepgram's Flux models, to seamlessly understand diverse accents and support multiple languages during the same order.
Conclusion
Automating order-taking is no longer an optional experiment for quick-service chains struggling with shift coverage. Voice AI provides a necessary solution to keep drive-thrus moving and phones answered when staffing falls short.
Deepgram stands out as the premier voice AI platform due to its unmatched speed, accuracy, and unified single API for STT, TTS, and LLM orchestration. As the industry shifts toward voice automation, operators should evaluate their current drive-thru latency and POS stack to determine how Deepgram's foundation models can restore their margins, save labor hours, and accelerate service speed.