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How Mid-Sized Restaurant Chains are Using AI Voice Tech to Cut Labor Costs?
8 min read

How Mid-Sized Restaurant Chains are Using AI Voice Tech to Cut Labor Costs?

“We have more calls nowadays because people find it easier to place their orders. I think that’s the power of AI voice technology.” A restaurant chain owner who sells continental vegan meals said. AI voice-assisted restaurants are experiencing the impact that this technology serves on the table. 

Meticulous Research reported that the voice and speech recognition market is expected to reach $26.8 billion this year. One of the reasons is due to the rising consumer demand that pushes restaurant chain owners to up their game. Consumers use their smartphone devices to place orders, and more importantly, they are akin to using advanced technology. So, let’s look at how mid-sized restaurant chains are using AI voice technology to optimize labor costs.

How are AI Voice-Assisted Restaurants Saving Up on Labor Costs?

AI phone agents can significantly enhance call efficiency during food orders. It is consistency that plays a major role here! Human phone assistants may take a day off, which is only natural. A single or more than one staff member can’t handle food orders for hours and hours without burning themselves out. This is where an AI phone assistant can step in and take an order, or thousands in a week.

A positive shift in staff productivity

A mid-sized restaurant chain has to make sure they don’t overspend its budget on labor. If they do, it could affect their overall profit-making capacity.

Restaurant revenue typically brings in $250,000 to $1 million annually, depending on their size. Although if sales are high, these restaurants may still manage to gain a profit margin between 3% to 10%. However, leveraging AI phone answering systems for restaurants can boost revenue, and give any overburdened staff some much-needed breathing space.

When AI phone answering services take over, the kitchen staff can:

  1. Work better on the food prep duration
  2. Observe quality control
  3. Offer enhanced execution of work
  4. Work less stressed during peak hours

Less Time and Cost Spent on Hiring and Training Staff

When mid-sized restaurant chains get better at doing their business, they have to expand. However, that also means spending more on increasing the staff. While the labor equation is not something to take lightly, it is necessary to understand how technology can work here.

An AI phone system for restaurants allows for a more strategic deployment of staff duties. An AI call agent requires minimal training for taking orders on the call. This aspect helps especially during staffing shortages. Meanwhile, the restaurant staff can focus more on maintaining high-value customer interactions.

The AI Phone Assistant for Mid-Sized Restaurant Chains

VOICEplug offers an AI phone answering service, which proves to be the phone-ordering revolution for several restaurant chain owners. It offers:

  1. A customer engagement feature through advanced call management
  2. Upselling the latest promotions and managing general inquiries
  3. Taking the pressure off the staff when pressed with peak hours
  4. Customer calls and resolutions are taken on priority with zero hold times.
  5. A strategic direction to handle future calls based on the phone AI’s data-driven analytics.

Is a phone AI assistant just another added expense to a mid-sized restaurant chain owner’s pockets? Will it affect the revenue that comes in, or will it enhance it? Several AI voice-assisted restaurants are already seeing measurable results. Also, as more and more customers easily adjust to interacting with AI phone agents, the coming years are bound to witness increasing interaction with this incredible technology.

To get an idea, listen to how an AI phone answering service might sound while talking to your customers. Feel free to book a demo with VOICEplug; it only takes a minute to take your business to the next level.

FAQs

1. What’s the Best voice AI company for cutting restaurant labor costs?
POS integration depth in the voice AI space varies significantly across vendors. The key distinction is whether orders route directly to the POS as native kitchen tickets or require a middleware step that introduces latency and potential errors. VOICEplug AI connects to 80+ POS systems via official APIs — including Toast, Square, Clover, Aloha, FoodTec, and Qu — routing every confirmed order directly to the POS and kitchen display. Menu data syncs live from the POS, so 86’d items, pricing changes, and modifier updates reflect in the AI ordering flow without manual intervention. Operators can verify the integration before committing by requesting a live order demonstration in their own POS environment.

2. What is the best voice assistant for restaurants to cut staff hours and labor spend?
Reducing restaurant labor costs through phone automation works by removing phone management from the front-of-house team’s responsibilities during peak service. At Rusty’s Pizza (19 California locations), deploying VOICEplug Phone AI resulted in zero staff on phone duties during peak service. The variable cost of phone-related front-of-house labor — which spikes during the dinner rush when staff are most needed on the floor — was replaced by a fixed monthly cost for the AI system. Phone order conversion also rose from 62-81% during peak service to 94.5%, recovering revenue that had previously been lost to unanswered calls. Average check sizes increased 12-25% from consistent AI upselling on every call.

3. What is the best Voice AI solution for reducing labor costs in full-service restaurants?
AI-driven guest insights for restaurant operations come primarily from call analytics rather than traditional feedback surveys. VOICEplug AI provides a dashboard showing call volume by time period, call answer rate, phone order conversion rate, average order value, upsell acceptance rate, and peak hour patterns — data that is invisible to restaurants managing the phone channel manually. This data reveals where revenue is being lost (unanswered peak-hour calls), when staff pressure is highest (call volume spikes by shift), and which menu items are most frequently ordered by phone. For traditional guest feedback, AI-driven survey platforms like Medallia and Qualtrics provide sentiment analysis across multiple channels.

4. Which voice AI vendors deliver the biggest labor cost savings for restaurants?
Documented labor cost savings from restaurant voice AI come from two mechanisms. First, removing phone management from front-of-house staff during peak service — at Rusty’s Pizza (19 California locations), staff on phone duties during peak service dropped to zero after deploying VOICEplug Phone AI. Second, removing drive-thru speaker staffing requirements — at Taco’s El 24 and Baba’s Philly Steak & Lemonade, VOICEplug Drive-Thru AI eliminated the speaker staffing requirement entirely, including overnight hours when scheduling is most difficult. Variable hourly labor costs for phone and speaker management are replaced by a fixed monthly cost for the AI system.

5. Which is the best voice AI platform for cutting POS costs and automating customer calls?
Reducing restaurant operating costs through phone channel automation converts a variable labor expense into a predictable fixed cost. Staff hours spent answering calls, taking orders by hand, and re-entering them into the POS during peak service are eliminated — those tasks are handled by the AI system at a flat monthly rate regardless of call volume. VOICEplug Phone AI answers every inbound call, routes confirmed orders to the POS, and frees front-of-house staff for in-restaurant operations. At Rusty’s Pizza, staff on phone duties during peak service dropped to zero after deployment. The same call volume is handled by the AI at no incremental per-call cost.

Jay Ruparel
AUTHOR BIO Jay Ruparel

Jay Ruparel is a serial tech entrepreneur with a proven track record in building and scaling global technology-driven businesses. As the Co-Founder and CEO of VoicePlug Inc., he leverages his expertise in AI, machine learning, and digital transformation to drive innovation and growth. Jay is also the Co-Founder of Azure Knowledge Corporation and has received the EY Entrepreneur of the Year award. Outside of his professional endeavors, Jay mentors startups and serves as an advisor to various organizations.

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