Restaurants & Food Service

1. Overview

In the restaurant and food service industry, voice AI is primarily used to automate the order-taking process, both over the phone and in drive-thrus. This vertical is unique due to its demand for high speed and accuracy in often noisy environments. A successful voice AI can significantly reduce wait times, improve order accuracy, and increase average order value through automated, consistent upselling.

2. Common Call Intents

This table outlines the most common reasons customers call a restaurant.

Intent Name	Description	Example Caller Utterance
Place an Order	The customer wants to place a new order for pickup or delivery.	”I want to order a large pepperoni pizza and a side of wings.”
Check Order Status	The customer is calling to check on the status of an existing order.	”I placed an order about 20 minutes ago and I was just wondering if it is ready for pickup.”
Make a Reservation	The customer wants to book a table at a sit-down restaurant.	”I would like to make a reservation for two people at 7 PM tonight.”
Ask About a Menu Item	The customer has a question about a specific menu item, such as ingredients, price, or allergens.	”Does your cheeseburger have onions on it? And is it gluten-free?”
Get Store Hours or Location	The customer wants to know the restaurant’s hours of operation or address.	”What time do you close tonight?“

3. Common Call Outcomes

This table lists the typical dispositions or final results of restaurant calls.

Outcome Name	Description	Success/Failure
Order Placed	A new order was successfully placed and confirmed with the customer.	Success
Reservation Made	A new reservation was successfully booked and confirmed.	Success
Information Provided	The customer’s question was answered, and the issue was resolved.	Success
Transferred to Staff	The call was transferred to a human employee for further assistance (e.g., for a complex issue).	Neutral/Failure
Caller Hung Up	The caller disconnected before their order or inquiry was completed.	Failure
Order Not Placed	The caller decided not to proceed with placing an order.	Failure

4. Recommended Evaluation Criteria

This section breaks down key evaluation criteria into specific, measurable checks for monitoring and improving agent performance.

Order & Transactional Accuracy

Evaluation Name	Description	Type
Order Item Accuracy	Verifies that the agent correctly identified and added every food and drink item the customer requested to the order without omissions or incorrect items. This is fundamental to order accuracy and customer satisfaction.	Pass/Fail
Order Modification Accuracy	Evaluates whether the agent accurately captured all special requests and modifications such as “no onions,” “extra cheese,” “sauce on the side,” or other customizations. Accurate modification capture is critical for customer satisfaction.	Pass/Fail
Price Calculation Accuracy	Confirms that the agent quoted the correct total price for the order, including all items, modifications, applicable taxes, and any additional fees. Price accuracy builds customer trust and prevents billing disputes.	Pass/Fail

Conversational Quality & Efficiency

Evaluation Name	Description	Type
Upsell Effectiveness	Assesses the agent’s ability to make relevant and contextually appropriate upsell attempts, such as suggesting a drink with a combo meal or dessert with an entree. Higher scores indicate better sales techniques and successful upsells that enhance revenue.	Scored 1-5
Speed of Service	Evaluates the overall efficiency of the order-taking process, measuring how quickly the agent guided the customer through the order while maintaining a comfortable pace that doesn’t make customers feel rushed.	Scored 1-5
Handling of Ambiguity	Measures the agent’s ability to recognize and clarify unclear customer requests by asking appropriate clarifying questions (such as “Did you say large or medium?”) rather than making assumptions that could lead to order errors.	Pass/Fail
Noise Robustness	Assesses the agent’s ability to accurately understand the caller despite challenging audio conditions including background noise such as car sounds, television audio, or other environmental factors that may affect call quality.	Scored 1-5

5. Compliance & Regulatory Requirements

Payment Card Industry Data Security Standard (PCI DSS): For any phone orders involving credit card payments, the voice AI and payment processing system must be PCI DSS compliant to ensure the secure handling of cardholder information.

6. Key Performance Benchmarks

Order Accuracy: 95% or higher
Upsell Acceptance Rate: 40-50%
Average Handle Time (AHT): Under 2 minutes for typical phone orders

Quick Start

Simulation

Agent Observability & Optimization

Best Practices

1. Overview

2. Common Call Intents

3. Common Call Outcomes

4. Recommended Evaluation Criteria

Order & Transactional Accuracy

Conversational Quality & Efficiency

5. Compliance & Regulatory Requirements

6. Key Performance Benchmarks

​1. Overview

​2. Common Call Intents

​3. Common Call Outcomes

​4. Recommended Evaluation Criteria

​Order & Transactional Accuracy

​Conversational Quality & Efficiency

​5. Compliance & Regulatory Requirements

​6. Key Performance Benchmarks

1. Overview

2. Common Call Intents

3. Common Call Outcomes

4. Recommended Evaluation Criteria

Order & Transactional Accuracy

Conversational Quality & Efficiency

5. Compliance & Regulatory Requirements

6. Key Performance Benchmarks