How Does AI Benefit A Restaurant?

Written By: Vincent Nguyen

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AI is a fascinating technology that has completely transformed the world. The Hospitality world is no exception.

Restaurant operators all around the world are embracing AI to improve operations, minimize costs, and maximize margin. The key to successful AI implement is understanding where AI is genuinely strong, and leverage that in the right areas of your restaurant.

In this article, we're going to share:

  • Where AI is heading for the restaurant industry based on Deloitte's research

  • Which areas of restaurant operations benefit the most from AI implementation

  • Approaches to AI transformation in restaurants

Where AI is Heading In The Restaurant Industry?

The Deloitte 2025 AI in Restaurants Survey interviewed 150 restaurant brand executives about the state of AI in the restaurant industry. Several key insights stand out from this report:

  • Restaurants are already seeing results from AI: AI agents are heavily used for customer service and inventory management are widely adopted and already generating economic value.

  • Investment is concentrated in high-impact, scalable AI technologies: The most common focus areas include Conversational AI (chatbots), Machine Learning, and Intelligent Automation.

  • Identifying the right use cases and managing risks are the top challenges: Other barriers to AI deployment include limited technical talent, regulatory compliance concerns, and insufficient governance frameworks.

  • Most feel underprepared for AI adoption: Across all brands, most respondents say their organizations lack readiness in strategy, operations, technology infrastructure, and other enablers; Asia stands out as the most AI-ready region.

Which Areas Benefit The Most From AI Implementation?

The restaurant areas that typically benefit the most from AI are those with high transaction volume, repetitive tasks, large amounts of data, or labor-intensive workflows:

  • Customer service & guest communication: AI can handle FAQs, reservations, order questions, feedback, and messaging across channels.

  • Order taking & drive-thru: Voice AI can take orders, upsell items, reduce wait times, and improve order accuracy.

  • Marketing & personalization: AI can segment customers, personalize offers, automate campaigns, and identify high-value guests.

  • Reputation management" AI can monitor reviews, identify recurring issues, draft responses, and track sentiment across locations.

  • Demand forecasting: AI can predict sales by day, location, menu item, weather, season, and other factors.

  • Staff scheduling & labor management: AI can forecast staffing needs and optimize schedules based on expected demand.

  • Inventory & purchasing: AI can predict ingredient requirements, automate replenishment, and reduce stockouts.

  • Food waste reduction: AI can identify waste patterns and forecast how much food each location actually needs.

Approaches To AI Implementation For Restaurants

There are 2 major approaches to AI implementations for restaurants:

  1. Build AI agents in-house: Big franchises can totally develop proprietary AI agents tailored to their restaurant's specific workflows and tech stack. This is exactly what Yum! Digital & Technology team is doing. They have a team that builds AI-powered proprietary SaaS solutions for the franchise. This approach gives them maximum control and customization, but, of course, they need A LOT of technical resources and ongoing maintenance.

  2. Leverage vendor AI solutions: A more effective solution for smaller brands is to adopt existing AI-powered restaurant software from specialized vendors. This provides faster implementation, lower upfront costs, and access to proven technology without having to build and maintain the AI infrastructure themselves.

In fact, for most restaurant operators, leveraging existing vendor solutions is the most practical starting point. Large restaurant groups with strong technical teams and highly specialized workflows may benefit more from a hybrid or in-house approach.

3 AI Recommendations For Restaurants

With that being said, here are our recommendations for the best AI that restaurant should leverage to streamline operations in 3 different categories:

1. Momos

Momos is an AI-powered guest experience solution built for fast food restaurants. It has helped leading enterprise brands like Burger King, Papa Murphy's, and Shake Shack scale customer support across 30,000+ store locations worldwide.

Let's meet Alfie firts. Alfie is Momos AI agent for instant support. Whenever a ticket/review comes in, Alfie immediately reads it, categorizes, and crafts an on-brand response within minutes.

For example, as you can in the Unified Inbox here, Alfie has organized all reviews from Google, Yelp, Instagram, and more into one place. He has crafted a response to a 1-star review from Nick Swift.

After that, Rockie, the Intelligence Agent for operational insights, steps in.

Rockie can read guest sentiments from all of those reviews and surfaces trends.

From his dashboard, you immediately know which location delivers good guest experience and which doesn't. He even ranks locations against brand standards so HQ knows where to focus.

For example, this is a dashboard from a global fast food franchise (we're sure you heard their name before ๐Ÿ˜‰). They have pretty good OSAT (Overall Satisfaction) score across 4 areas of Hospitality, Food Quality, Speed of Service, and Atmosphere. There are incidents here and there, and you can see it all reported in the dashboard:

2. MarketMan

Website: MarketMan

Category: Restaurant inventory & food cost management software

MarketMan is an inventory and food cost management platform purpose-built for restaurant operators.

With MarketMan, you get real-time inventory tracking, automated purchase orders, recipe management, and vendor invoice management, all in one place:

Some major clients of MarketMan include Bareburger, Dickey's Barbecue Pit, and Thunderbird Food & Drink.

  • Key features: Inventory management, recipe & menu costing, purchase order automation, supplier management, waste tracking

  • What makes them stand out: Laser-focused on food cost control. MarketMan gives operators exact visibility into where every dollar of food spend is going.

  • Pricing: Plans start at approximately $239/month per location, with custom enterprise pricing for larger groups.

  • It's a great fit for: Restaurant groups looking to tighten food cost margins and reduce waste.

3. SevenRooms

Category: Guest experience & CDP

SevenRooms is a guest experience platform and CDP strong in reservations and full-service hospitality. You build profiles from booking, dining, and marketing data to personalize every visit.

Key features:

  • Guest profiles from reservations, dining, and marketing data

  • Reservation, waitlist, and table management

  • Automated email and SMS marketing

  • Segmentation by visit history and preferences

  • Review and feedback tracking tied to profiles

  • Reporting on guest retention and revenue

Pricing: Custom pricing based on service level and locations.

Website: SevenRooms

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Stay ahead of the curve in with expert insights and industry researches about restaurant guest experience from Momos.

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Join over 20,000 locations worldwide

See how Momos helps winning companies drive revenue and manage customer experience across 600+ brands globally.

AI-powered

Insights

Join over 20,000 locations worldwide

See how Momos helps winning companies drive revenue and manage customer experience across 600+ brands globally.

AI-powered

Insights

Join over 20,000 locations worldwide

See how Momos helps winning companies drive revenue and manage customer experience across 600+ brands globally.

AI-powered Insights