--- title: "Voice Bots for Restaurants: Next Ordering Frontier…" description: "34% of restaurants adopted voice AI in 2025. Explore how voice ordering works, real results from major chains, and whether your restaurant is ready." canonical: https://www.ordering.co/blog/voice-bots-voice-ordering-assistants-next-frontier-restaurants/ --- # Voice Bots and Voice Ordering: Are Voice Assistants the Next Frontier for Restaurants? 34% of restaurants adopted voice AI in 2025. Explore how voice ordering works, real chain results, and whether your restaurant is ready. 10 min read· Finitless Research· AI & Automation / Restaurants & Hospitality ![Modern drive-thru microphone with cyan sound wave visualizations against dark restaurant exterior at dusk](https://www.ordering.co/_astro/blog/f4bda68171635a1f-1400w.webp) **Taco Bell** cut drive-thru time by nearly 2 minutes with voice AI across 500+ locations. **Wendy's deployed it in 160+ restaurants** and saw a 22-second speed improvement per order. But **McDonald's pulled the plug** on its IBM partnership after accuracy hovered in the low-to-mid 80% range and a viral incident saw the AI order 2,510 McNuggets Meals for a single customer. Voice ordering is the most polarizing technology in restaurants right now. Voice AI funding surged to **$2.1 billion in 2025**, an eightfold increase. SoundHound alone has processed over 100 million customer interactions across 10,000+ restaurant locations. The AI-in-QSR market is projected to reach $12 billion by 2034. So is voice ordering genuine progress or expensive hype? The answer, as with most things in restaurant tech, is nuanced. - **34%** Of restaurants adopted voice AI in 2025 - **87%** Reduction in missed calls with voice AI - **26%** Increase in phone order revenue - **2.1B** Voice AI funding in 2025 ## What Voice Ordering Actually Means Voice ordering is not a single technology. It spans **three distinct use cases**: drive-thru AI (a voice bot takes orders at the speaker box), phone ordering AI (a virtual agent answers calls and processes orders), and in-car voice commerce (customers order through their vehicle's voice assistant before arriving). Each has different technical requirements, accuracy challenges, and customer expectations. The common thread is natural language understanding applied to menu items, modifications, and upselling. ## Which Chains Are Already Using Voice AI This is not theoretical. Some of the largest restaurant brands in the world are running voice AI **at scale, right now**. Here is a snapshot of real deployments with verified results: ## Voice AI Deployments in Major Restaurant Chains | Chain | AI Partner | Scale | Key Result | | ------------- | ------------- | ---------------------- | -------------------------------------- | | Taco Bell | Yum!/Nvidia | 500+ locations | 1 min 54 sec faster per order | | Wendy's | Google Cloud | 160+ live | 22-sec speed improvement, 86% accuracy | | White Castle | SoundHound | 100+ drive-thrus | 90% completion rate, 60-sec avg order | | Bojangles | Proprietary | 50+ locations | 95% accuracy rate | | Papa Johns | Google Gemini | Phone ordering | First on Google Cloud food ordering | | Jersey Mike's | SoundHound | Thousands of locations | Phone ordering automation | ## The McDonald's Warning: Why Accuracy Is Everything McDonald's ran the largest voice AI pilot in history with IBM, spanning **100+ locations over two years**. They ended it in June 2024. The accuracy rate stayed in the low-to-mid 80% range, meaning roughly 1 in 5 orders had issues. Viral videos showed the AI misunderstanding requests, adding random items, and generating absurd totals. Franchisees grew frustrated with slow updates. The lesson is clear: voice AI that is not accurate enough creates more problems than it solves. ## The Accuracy Problem with Voice AI Warning 65% of AI order issues stem from customization requests like extra toppings, ingredient swaps, and special instructions. Accuracy rates range from 80% to 95% depending on the system and environment. Noisy drive-thru lanes, heavy accents, and overlapping conversations all degrade performance. Until accuracy consistently reaches 95%+, voice AI remains best suited for simple, standardized menus. --- ## Voice vs. Chat: Complementary, Not Competing The industry often frames voice and chat ordering as competitors. They are not. They serve **different customer moments and different ordering contexts**. A driver at a drive-thru needs hands-free voice interaction. A Gen Z customer on their couch wants to text on WhatsApp. A busy parent wants to quickly type a repeat order. The smart strategy is not choosing one over the other. It is covering every channel your customers use. ### Voice Ordering - Hands-free, natural conversation - Perfect for drive-thrus and phone calls - 77% see it as smarter than chatbots - Challenged by noise and accents - 85-95% accuracy range ### Chat Ordering - Precise typed input, fewer errors - Perfect for WhatsApp, web, social media - 2B+ potential reach via WhatsApp - 95%+ accuracy with text understanding - Handles complex modifications easily Consumer research backs the complementary approach. A Deloitte survey found that **79% of consumers would use voice ordering at a drive-thru** and 74% for phone systems. Meanwhile, 62% of [Gen Z prefer chatbots](https://www.ordering.co/blog/gen-z-chatbots-younger-diners-prefer-ordering-message/) for food ordering. The takeaway: different channels serve different needs. The restaurant that covers both voice and chat captures the widest audience. ## Where Each Channel Excels ## Voice AI vs. Chat AI: Best Use Cases ### Voice AI - #### Drive-Thru Ordering Voice AI shines at the speaker box. Customers expect to speak their order. No typing, no screens, just conversation. Best for standardized QSR menus. - #### Phone Order Automation Captures orders from callers 24/7. Reduces missed calls by 87%. Ideal for pizza, wings, and high phone-order-volume restaurants. - #### In-Car Voice Commerce 80% of US drivers prefer ordering via in-car assistant over waiting in drive-thru. Emerging channel with massive growth potential. ### Chat AI - #### WhatsApp and Messaging Apps 2B+ users worldwide. No app download needed. 62% of Gen Z prefer chatbot ordering. Handles casual language, emojis, and complex modifications. - #### Web Chat and Social Media Embedded widgets on your website or Instagram. Customers order without leaving the platform they discovered you on. - #### SMS and Repeat Orders Quick reorders via text. AI remembers past preferences and suggests favorites. Low friction for loyal customers. ### Both Together - #### Omnichannel Strategy Cover voice for drive-thru and phone, chat for WhatsApp and web. Every customer finds their preferred channel. No orders lost. - #### Voice for Speed, Chat for Precision Voice handles simple, fast orders. Chat handles complex customizations with higher accuracy. Each channel plays to its strength. - #### Unified Analytics Track performance across all channels from one dashboard. Identify where customers engage most and optimize accordingly. ## How to Evaluate Voice AI for Your Restaurant Not every restaurant needs voice AI right now. The decision depends on your **ordering channels, menu complexity, and customer demographics**. Here is a practical framework for evaluating whether voice ordering makes sense for your operation: Evaluation Framework ## 5 Steps to Evaluate Voice AI for Your Restaurant A practical decision framework before investing 1. ### Audit your ordering channels Map what percentage of orders come from phone, drive-thru, walk-in, delivery apps, and chat. If phone orders are less than 15% of total, voice AI may not be your priority. 2. ### Calculate your missed call revenue Restaurants lose an average of $27,000 annually from missed calls. Track your missed call volume for one week and multiply by average order value. 3. ### Assess your menu complexity Simple, standardized menus (pizza, burgers, wings) work well with voice AI. Complex menus with heavy customization are better suited for chat-first approaches. 4. ### Know your customer demographics Younger diners (18-38) are significantly more likely to embrace automation. Older demographics may need a transition period with human fallback options. 5. ### Start with proven technology, expand strategically Begin with the channel that has the highest accuracy and widest reach for your customer base. Add channels as the technology matures and your team builds confidence. ## The ROI of AI Ordering | Annual missed call recovery | $27,000/year | | ------------------------------------------------------------------------------------------------------ | -------------------- | | Upsell increase (20-40% on AI-suggested add-ons) | $3,600/month | | Labor savings (reduced phone staff hours) | $2,400/month | | Order accuracy improvement (fewer remakes) | $800/month | | Estimated Monthly Revenue Impact | **$3,000 - $18,000** | | ROI varies by location volume. Most restaurants see payback within 2-5 months of deploying AI ordering | | ## The Smart Ordering Stack: Where to Start The most effective approach is not jumping straight to voice AI. It is building a **layered ordering stack** that starts with the highest-accuracy, widest-reach channel and expands from there. Chat ordering on WhatsApp and web delivers 95%+ accuracy today, reaches 2 billion users, and requires zero hardware. That is why it is the smart foundation. ## The Smart Ordering Stack Build your AI ordering presence layer by layer 1. ### Start: Chat AI Deploy WhatsApp and web chat ordering. 95%+ accuracy, 2B+ reach, no hardware needed. Proven foundation. 2. ### Add: Phone AI Automate phone orders to capture missed calls. Recover $27K+ annual lost revenue per location. 3. ### Add: Drive-Thru Voice Deploy voice AI at the speaker box. Best for standardized QSR menus with high drive-thru volume. 4. ### Goal: Full Omnichannel Every ordering channel covered by AI. Voice, chat, phone, kiosk, in-car. No customer left behind. Starting with chat makes practical sense for most restaurants. It offers **higher accuracy, lower cost, and broader reach** than voice AI today. WhatsApp alone gives you access to 2 billion users without requiring any app downloads or hardware purchases. Ordering.co Ordering Agents handle chat ordering in 50+ languages, offer intelligent upselling, and integrate with your existing POS system. Setup takes 48 hours. > Voice AI is not replacing chat ordering. It is joining it. The restaurants that win will be the ones present on every channel their customers use. Start with What Works ## Build Your AI Ordering Foundation Today Ordering.co Ordering Agents deliver 95%+ accuracy on WhatsApp and web chat, 24/7, in 50+ languages. Start with the proven channel and expand to voice when you are ready. [Book a demo](https://www.ordering.co/contact/?meeting=demo#book)[See Ordering Agents](https://www.ordering.co/platform/ai-ordering-agents/) ## Frequently Asked Questions Everything you need to know about voice bots, voice ordering, and AI in restaurants - What is voice ordering for restaurants? Voice ordering uses AI-powered voice assistants to take customer orders through natural spoken conversation. It works across three main channels: drive-thru speaker boxes, phone calls answered by virtual agents, and in-car voice assistants. The AI understands menu items, handles modifications, and processes the order without human staff intervention. - How accurate is voice AI for restaurant orders? Accuracy ranges from 80% to 95% depending on the system and environment. Bojangles reports 95% accuracy, White Castle achieves a 90% completion rate, and Wendy's reaches 86% without human intervention. McDonald's ended its IBM pilot partly because accuracy stayed in the low-to-mid 80% range. Chat-based AI ordering typically achieves 95%+ accuracy. - Which restaurant chains currently use voice AI? Taco Bell (500+ locations with Nvidia), Wendy's (160+ with Google Cloud), White Castle (100+ with SoundHound), Bojangles (50+ with proprietary tech), Papa Johns (Google Gemini), and Jersey Mike's (SoundHound) all have active voice AI deployments. SoundHound has processed over 100 million interactions across 10,000+ locations. - What is the difference between voice ordering and chat ordering? Voice ordering uses spoken conversation and is ideal for drive-thrus, phone calls, and hands-free situations. Chat ordering uses text messages through platforms like WhatsApp, web chat, and social media. Voice is faster for simple orders, while chat offers higher accuracy for complex customizations. Most experts recommend using both as complementary channels. - How much does voice AI cost for restaurants? Costs vary significantly by deployment type. Drive-thru voice AI requires hardware and integration, making it more expensive. Phone ordering AI and chat ordering AI are software-only solutions with lower upfront costs. Most restaurants see ROI within 2-5 months, with potential revenue impact of $3,000 to $18,000 per month per location. - Can voice AI handle menu customizations and special requests? 65% of AI order issues come from customization requests. Simple modifications like sizing and basic add-ons work reliably. Complex multi-step customizations remain challenging for voice systems due to accent variation, background noise, and ambiguous phrasing. Chat ordering handles customizations more accurately because typed text removes ambiguity. - Should my restaurant start with voice or chat ordering? Start with chat ordering through WhatsApp and web chat. It offers higher accuracy (95%+), broader reach (2 billion WhatsApp users), no hardware requirements, and faster deployment (48 hours with Ordering.co). Once your AI ordering foundation is established and voice technology matures further, expand to phone and drive-thru voice channels. - What ROI can restaurants expect from AI ordering? Restaurants typically recover $27,000 annually from missed calls alone. Additional revenue comes from AI-driven upselling (20-40% average order value increase), labor savings from reduced phone staff, and improved order accuracy reducing remakes. Total impact ranges from $3,000 to $18,000 per month per location, with payback within 2-5 months. ## Ready to Build Your AI Ordering Stack? Start with chat ordering today. Add voice when you are ready. Ordering.co grows with you. [Book a demo](https://www.ordering.co/contact/?meeting=demo#book) ## Keep reading. - ## [Text Chatbots vs. Voice Assistants: Do You Need Alexa, or Is a Chatbot Enough?](https://www.ordering.co/blog/text-chatbots-vs-voice-assistants-alexa-chatbot-restaurants/) Even Taco Bell's best voice AI needs human help for 22% of orders. - ## [Chatbot Security for Restaurants: Protecting Customer Data in AI Ordering](https://www.ordering.co/blog/chatbot-security-protecting-customer-data-ai-ordering/) How restaurants using AI chat ordering can protect customer data, comply with GDPR and PCI DSS, and build trust through privacy-first design. - ## [Automated Food Ordering via Chat: How Restaurants Capture More Orders on WhatsApp and Messenger](https://www.ordering.co/blog/automated-food-ordering-chat-whatsapp-messenger/) Learn how AI-powered chat agents help restaurants handle high-volume ordering on messaging platforms without overwhelming staff. ## See it running on your own menu. The shortest way to understand any of this is to watch an order go from a storefront to a store to a driver, on your locations. [Book a demo](https://www.ordering.co/contact/?meeting=demo#book)[See a live demo](https://www.ordering.co/demo/)