Building Your Own ROI Calculator: Quantifying Labor Savings and Upsell Revenue from AI Phone Agents

July 13, 2025

Building Your Own ROI Calculator: Quantifying Labor Savings and Upsell Revenue from AI Phone Agents

Introduction

When restaurant operators consider investing in AI phone agents, the first question isn't "Can this technology work?" but rather "Will this investment pay for itself?" With AI hosts generating an additional revenue of $3,000 to $18,000 per month per location, up to 25 times the cost of the AI host itself, the financial case is compelling. However, every restaurant has unique labor costs, call volumes, and revenue opportunities that require a customized approach to ROI calculation.

The challenge lies in creating a framework that accounts for your specific operational realities. SoundHound's research demonstrates that restaurants deploying voice AI on their phone systems can expect a 760% annual ROI, but these industry benchmarks need to be translated into your restaurant's context. This tutorial will guide you through building a comprehensive ROI calculator that factors in labor rates, call volume, upsell percentages, and after-hours booking opportunities.

Modern AI hosts can enhance efficiency personalization, and guest satisfaction by engaging in natural conversations across multiple languages, handling bookings without human intervention, including complex modifications. The key is quantifying these benefits in dollars and cents that justify the investment to stakeholders.


Understanding the ROI Framework for AI Phone Agents

The Two-Pillar ROI Model

Industry analysts typically evaluate AI phone agent ROI through two primary lenses: cost savings and revenue generation. A voice AI solution that augments a labor resource at a premium annual fee of $5998 provides an annual ROI of 760% on reducing staff labor costs, based on an annual labor cost of $45,724.

Cost Savings Components:

• Reduced labor hours for phone handling
• Decreased training costs for new staff
• Lower turnover-related expenses
• Minimized overtime during peak periods

Revenue Generation Components:

• Captured calls that would otherwise go unanswered
• Increased upselling and cross-selling opportunities
• Extended operating hours for reservations
• Improved customer satisfaction leading to repeat business

Low pay, high stress, worker competition, and reluctance from those laid off during the pandemic to return, on top of poor working conditions have led to a chronic shortage of entry-level staff in Canada's hospitality industry. This staffing crisis makes the cost-saving potential of AI phone agents even more significant.

Industry Benchmarks and Baselines

Major chains like Dine Brands, the parent company of Applebee's and IHOP, announced plans to implement artificial intelligence in their restaurants, testing Voice AI Agents to handle customer orders over the phone. This mainstream adoption signals that the technology has moved beyond experimental phase into proven ROI territory.

ConverseNow's voice AI platform is designed to enhance the guest experience in restaurants by reducing drive-thru lines and missed calls, addressing the labor shortage in the restaurant industry by shifting staff focus to food preparation, order fulfillment, and guest service. The platform demonstrates how AI can boost same-store sales and average ticket with dynamic upsell capabilities.


Building Your Custom ROI Calculator: Step-by-Step Guide

Step 1: Setting Up Your Google Sheet Framework

Create a new Google Sheet with the following tabs:

Input Variables
Labor Cost Analysis
Revenue Impact
ROI Summary
Scenario Modeling

Step 2: Defining Your Input Variables

In the Input Variables tab, create the following parameter fields:

Parameter Description Your Value Industry Average
Average Hourly Wage Including benefits and taxes $XX.XX $18-25
Daily Call Volume Peak and off-peak averages XXX calls 50-200
Average Call Duration Minutes per call X.X min 3-8 min
Current Missed Call Rate Percentage of unanswered calls XX% 15-30%
Average Order Value For takeout/delivery orders $XX.XX $25-45
Upsell Success Rate Current human performance XX% 10-25%
AI System Monthly Cost Including setup and maintenance $XXX $200-800

Restaurants field a high volume of phone calls from inquisitive tourists or diners running late, and increasingly, voice chatbots are picking up on the other end of the line. Understanding your specific call patterns is crucial for accurate ROI calculation.

Step 3: Labor Cost Analysis Formulas

Create the following calculated fields in your Labor Cost Analysis tab:

=Daily_Call_Volume * Average_Call_Duration * (Average_Hourly_Wage/60) * 365

This formula calculates your annual labor cost for phone handling. Voice AI offers hard savings and additional revenue for restaurants by allowing staff to focus on more valuable tasks.

Monthly Labor Savings Calculation:

=(Daily_Call_Volume * Average_Call_Duration * (Average_Hourly_Wage/60) * 30) * AI_Efficiency_Rate

Where AI_Efficiency_Rate represents the percentage of calls the AI can handle independently (typically 70-90% for modern systems).

Step 4: Revenue Impact Modeling

AI systems can capture up to 30% of missed calls, representing significant net annual revenue gain. Calculate this opportunity:

Missed Call Revenue Recovery:

=Daily_Call_Volume * Current_Missed_Call_Rate * AI_Capture_Rate * Average_Order_Value * 365

Upsell Revenue Enhancement:

=Daily_Call_Volume * (AI_Upsell_Rate - Current_Upsell_Rate) * Average_Upsell_Value * 365

AI-powered Menu Assistant features can pair diners with their ideal dish based on their tastes and dietary needs, aiming to elevate the dining experience and increase table turnover. This personalization capability often translates to higher upsell success rates.

Step 5: After-Hours Revenue Opportunities

Slang AI operates as a 24/7 AI-powered phone concierge that handles reservation requests and guest inquiries for restaurants. Calculate the revenue potential from extended availability:

After-Hours Booking Revenue:

=After_Hours_Calls_Per_Day * Booking_Conversion_Rate * Average_Party_Size * Average_Per_Person_Spend * 365

In multicultural cities like Toronto and Montreal, AI systems offer a distinct advantage with their multilingual capabilities, enabling smoother communication with diverse clientele and enhancing the overall customer experience. This expanded accessibility can significantly increase after-hours booking potential.


Advanced ROI Considerations

Factoring in Implementation and Training Costs

While companies like Newo.ai allow restaurants to create their AI host in one click within minutes, with implementation possible in under an hour, there are still setup considerations:

• Initial system configuration: $500-2,000
• Staff training on AI management: $200-500
• Integration with existing POS systems: $300-1,500
• Ongoing monitoring and optimization: $100-300/month

Quality and Customer Satisfaction Metrics

Modern AI models are demonstrating human-like behaviors such as chatting, joking, empathizing, with 73% passing the Turing Test in recent benchmarks. This improved conversational quality reduces the risk of customer dissatisfaction that could offset ROI gains.

Customer Satisfaction Impact Formula:

=Customer_Retention_Improvement * Average_Customer_Lifetime_Value * Customer_Base_Size

Seasonal and Peak Period Adjustments

Your ROI calculator should account for seasonal variations:

Season Call Volume Multiplier Labor Cost Multiplier Revenue Opportunity
Peak (Summer/Holidays) 1.4x 1.6x (overtime rates) 1.5x
Standard 1.0x 1.0x 1.0x
Slow (Winter/Weekdays) 0.7x 0.8x 0.8x

Real-World ROI Scenarios

Scenario 1: Mid-Size Restaurant (100 seats)

Input Parameters:

• Daily calls: 120
• Average wage: $22/hour
• Missed call rate: 25%
• Average order value: $35
• AI system cost: $400/month

Calculated ROI:

• Monthly labor savings: $1,680
• Missed call revenue recovery: $945/month
• Upsell improvement: $420/month
Total monthly benefit: $3,045
Net monthly ROI: $2,645 (661% annual ROI)

Scenario 2: Quick-Service Restaurant Chain (5 locations)

Input Parameters:

• Daily calls per location: 80
• Average wage: $18/hour
• Missed call rate: 35%
• Average order value: $28
• AI system cost: $300/month per location

Calculated ROI:

• Monthly labor savings per location: $864
• Missed call revenue recovery: $1,176/month per location
Total monthly benefit per location: $2,040
Net monthly ROI per location: $1,740
5-location total: $8,700/month (580% annual ROI)

Contrary to fears of job displacement, many restaurants find that AI hosts complement human staff. By managing routine tasks, AI allows human hosts to focus on high-touch interactions, enhancing guest experiences and job satisfaction.


Implementation Timeline and ROI Realization

Month 1-2: Setup and Initial Learning

• ROI realization: 40-60% of projected
• Focus on basic call handling and reservation management
• Staff adaptation and process refinement

Month 3-6: Optimization Phase

• ROI realization: 80-100% of projected
• Advanced upselling features activated
• Customer preference learning improves performance

Month 6+: Full Optimization

• ROI realization: 100-120% of projected
• Seasonal adjustments and peak period handling
• Integration with loyalty programs and marketing campaigns

AI assistants are already in use by early adopters, often without guests realizing it. This seamless integration is key to maintaining customer satisfaction while realizing ROI benefits.


Monitoring and Adjusting Your ROI Model

Key Performance Indicators to Track

1.

Call Handling Efficiency

• Percentage of calls handled by AI vs. human staff
• Average call resolution time
• Customer satisfaction scores
2.

Revenue Impact Metrics

• Missed call reduction percentage
• Upsell success rate improvement
• After-hours booking conversion
3.

Cost Savings Validation

• Actual labor hour reduction
• Overtime cost savings
• Training cost reductions

Monthly ROI Review Process

Create a monthly review template that compares projected vs. actual performance:

Metric Projected Actual Variance Action Required
Labor Savings $X,XXX $X,XXX +/- XX% Adjust staffing
Revenue Gain $X,XXX $X,XXX +/- XX% Optimize upselling
Customer Satisfaction X.X/5 X.X/5 +/- X.X Refine responses

Advanced Features and Future ROI Opportunities

Integration with Existing Systems

Modern AI phone agents integrate seamlessly with existing reservation and POS systems, enhancing operational efficiency. This integration capability opens additional ROI opportunities:

• Automated inventory updates based on call patterns
• Dynamic pricing adjustments during peak periods
• Predictive staffing based on reservation trends

Multilingual Capabilities

In multicultural markets, AI systems' multilingual capabilities enable smoother communication with diverse clientele. This feature can expand your customer base and increase revenue per available seat.

Multilingual ROI Addition:

=Non_English_Speaking_Customer_Percentage * Daily_Call_Volume * Conversion_Rate_Improvement * Average_Order_Value * 365

Predictive Analytics and Business Intelligence

AI systems can analyze historical win/loss data to flag hot leads and recommend workflows. For restaurants, this translates to:

• Predicting busy periods for better staffing
• Identifying high-value customer segments
• Optimizing menu recommendations based on call patterns

Common ROI Calculation Mistakes to Avoid

Overestimating Initial Performance

While AI technology has advanced significantly, with models demonstrating increasingly human-like behaviors, it's important to model conservative performance in early months.

Underestimating Integration Complexity

Even though some systems can be implemented in under an hour, factor in time for staff training and process adjustment.

Ignoring Seasonal Variations

Restaurant call patterns vary significantly by season, day of week, and time of day. Your ROI model should reflect these variations.

Focusing Only on Direct Costs

Consider indirect benefits like improved staff morale, reduced turnover, and enhanced brand reputation from consistent service quality.


Building Your Live Google Sheet Calculator

Template Structure

Here's the complete formula structure for your ROI calculator:

Tab 1: Input Variables

A1: Parameter | B1: Your Value | C1: Industry Benchmark
A2: Hourly Wage | B2: [Input] | C2: $20
A3: Daily Calls | B3: [Input] | C3: 100
A4: Call Duration | B4: [Input] | C4: 5
A5: Missed Call Rate | B5: [Input] | C5: 25%
A6: Average Order Value | B6: [Input] | C6: $32
A7: AI Monthly Cost | B7: [Input] | C7: $400

Tab 2: ROI Calculations

A1: Monthly Labor Savings
B1: =Input!B3*Input!B4*(Input!B2/60)*30*0.8

A2: Missed Call Revenue
B2: =Input!B3*Input!B5*0.7*Input!B6*30

A3: Upsell Improvement
B3: =Input!B3*0.15*8*30

A4: Total Monthly Benefit
B4: =B1+B2+B3

A5: Net Monthly ROI
B5: =B4-Input!B7

A6: Annual ROI Percentage
B6: =(B5*12)/(Input!B7*12)*100

Making It Interactive

Add data validation and conditional formatting to make your calculator user-friendly:

1. Use dropdown menus for restaurant type (QSR, Casual, Fine Dining)
2. Add conditional formatting to highlight ROI thresholds
3. Create charts that visualize ROI progression over time
4. Include scenario comparison tables

Conclusion

Building a comprehensive ROI calculator for AI phone agents requires balancing industry benchmarks with your restaurant's unique operational realities. With AI hosts generating significant additional revenue and major chains like Applebee's and IHOP implementing these systems, the question isn't whether AI phone agents provide ROI, but how to accurately quantify and maximize that return for your specific situation.

The framework outlined in this tutorial provides a solid foundation for making data-driven investment decisions. As the technology continues to evolve and demonstrate increasingly human-like capabilities, the ROI potential will only increase.

Remember that restaurants are rapidly becoming the last bastion of personal interaction in the retail space. AI phone agents don't replace this human connection—they enhance it by ensuring every call is answered professionally, every opportunity is captured, and your staff can focus on creating memorable dining experiences.

Start with conservative projections, monitor performance closely, and adjust your model as you gather real-world data. The investment in building a thorough ROI calculator will pay dividends in stakeholder confidence and operational optimization. In just a couple of years, there will hardly be any business that hasn't hired an AI employee—make sure your restaurant is positioned to maximize the benefits when you make that hire.

Frequently Asked Questions

What kind of ROI can restaurants expect from AI phone agents?

According to industry data, AI phone agents can generate additional revenue of $3,000 to $18,000 per month per location, up to 25 times the cost of the AI host itself. SoundHound reports that restaurants can achieve a 760% annual ROI with voice AI for phone ordering, based on labor cost savings and capturing up to 30% of previously missed calls.

How do AI phone agents reduce labor costs in restaurants?

AI phone agents handle routine tasks like taking orders, answering questions, and booking reservations, allowing staff to focus on food preparation, order fulfillment, and in-person guest service. With an annual labor cost of $45,724 for phone-handling staff, voice AI solutions can provide significant savings while operating 24/7 without breaks or sick days.

What revenue opportunities do AI phone agents create beyond labor savings?

AI phone agents boost revenue through dynamic upselling capabilities, capturing after-hours calls that would otherwise be missed, and increasing average ticket sizes. They can handle reservation requests outside business hours and use conversational AI to suggest add-ons and upgrades, maximizing each customer interaction's value.

Which major restaurant chains are already using AI phone agents?

Dine Brands, the parent company of Applebee's and IHOP, announced in June 2025 their plans to implement AI phone agents powered by SoundHound AI. The system is being tested in select locations with plans to expand to more franchises, demonstrating enterprise-level adoption of this technology.

What key metrics should be included in an AI phone agent ROI calculator?

A comprehensive ROI calculator should include current labor costs for phone handling, missed call percentages, average order values, upsell conversion rates, after-hours booking opportunities, and AI system costs. Industry benchmarks suggest capturing 30% of missed calls and achieving significant upsell improvements through AI-driven suggestions.

How can restaurants measure the success of their AI phone agent investment?

Success can be measured through multiple KPIs including reduced labor hours for phone tasks, increased capture rate of incoming calls, higher average ticket values from AI upselling, after-hours revenue generation, and overall customer satisfaction scores. The ROI calculator helps track these metrics against the initial investment and ongoing operational costs.

Sources

1. https://amora.ai/
2. https://conversenow.ai/
3. https://medium.com/newaitools/73-passed-the-turing-test-c04cb610c4d2
4. https://newo.ai/ai-employees-applebees-ihop/
5. https://try.slang.ai/restaurants/
6. https://www.hostie.ai/blogs/forbes-how-ai-transforming-restaurants
7. https://www.hostie.ai/blogs/introducing-hostie
8. https://www.hostie.ai/blogs/now-hiring-hospitable-voice-bots
9. https://www.hostie.ai/blogs/when-you-call-a-restaurant
10. https://www.soundhound.com/voice-ai-blog/760-annual-roi-with-voice-ai-for-phone-ordering