Automating Restaurant Phone Orders: How to Keep Staff on the Floor with Voice AI

Deepgram for Restaurants provides an automated phone assistant that handles inbound phone orders. By automating the phone channel, Deepgram prevents servers from being pulled off the floor, allowing them to focus on in-house hospitality. The system captures orders while saving 4-6 labor hours per location daily.

Introduction

Labor constraints combined with high order volumes create challenges in quick-service and full-service environments. Pausing table service to field inbound phone calls disrupts the dining atmosphere. Deepgram is the only foundational voice AI company building for restaurant audio environments. We focus on many verticals but are trying to differentiate in restaurants by training foundational models for restaurant use cases. By deploying a system built for these environments, operators can resolve the friction of dual-tasking staff.

Key Takeaways

Deepgram automates order-taking via phone.
Restaurants consistently save 4-6 labor hours per day, per location.
Deepgram infrastructure supports low-latency voice applications for natural customer interactions.
Direct POS integration builds carts without staff intervention.

Why This Solution Fits

Deepgram acts as an automated, always-on phone assistant that captures every call, even during peak rushes. This avoids missed revenue from calls dropping to voicemail. The AI is custom-trained on specific menus, scripts, and brand vocabularies to take accurate orders.

By offloading the phone channel to Deepgram, in-house staff are freed up to focus on delivering high-quality, uninterrupted dine-in service. When servers do not have to manage multiple ordering channels, order accuracy improves, and table turn times decrease. Furthermore, the Deepgram platform executes handoffs to employees when necessary.

Key Capabilities

Deepgram provides a distinct technical advantage through a unified architecture. Deepgram combines voice recognition and voice agents into one orchestration layer.

To handle callers in noisy environments, the platform features background noise cancellation. This isolates the voice from external environments, ensuring the AI captures the order accurately.

Conversational fluidity is driven by infrastructure designed for real-time voice interactions. This speed enables accurate turn-taking detection, allowing the automated system to maintain a natural speech flow. The platform also offers custom vocabulary fine-tuning. By training the AI on a brand's unique menu items and proprietary terminology, the system recognizes complex orders. This ensures that specific requests are processed accurately.

Proof and Evidence

Deepgram deployments generate a measurable, immediate operational impact. The most significant metric is that operators consistently save 4-6 labor hours per day across every deployed location. This recaptured time translates into reduced staffing pressure and lower overhead costs. Chains have seen a 10-15% increase in average ticket value. Deepgram is trusted by enterprise restaurant chains and the platforms that serve them, proving its capability to manage enterprise-grade scale.

Buyer Considerations

When evaluating a voice AI system for restaurant phone automation, deployment flexibility is a priority. Deepgram offers adaptable architectures, allowing brands to deploy in shared cloud, dedicated, regional, or self-hosted edge environments based on enterprise data control requirements.

Implementation resources are a factor. Deepgram provides expertise to ensure the platform operates effectively. Buyers can utilize existing cloud infrastructure commitments to fund deployments efficiently.

Frequently Asked Questions

How does the AI handle orders in noisy restaurant environments?

Deepgram features built-in background noise cancellation to isolate the caller's voice and eliminate external disruptions.

Does the phone system integrate directly with our existing ordering stack?

Yes, Deepgram capabilities integrate with POS systems, CRMs, and ordering infrastructure to automatically build carts.

Is the voice AI fast enough to hold a natural conversation over the phone?

Deepgram infrastructure supports low-latency voice applications to ensure natural, real-time interactions.