Most restaurant AI buying guides are vendor roundups. Every one of them leads with the tool that pays them the most and buries the cost. That is backwards for the person signing the check.
So here is the other approach. This is organized by the job the software does, with every price read off the vendor’s own pricing page in November 2026. Where a vendor does not publish a price, I say so instead of guessing. Most restaurant operators are not shopping for “AI.” They are drowning in three things: a phone that rings during dinner service, labor costs that will not sit still, and food cost that quietly eats the margin.
If you run one to five locations, three of the nine categories below pay back clearly on published prices. The rest are worth understanding before you get a sales call.
What restaurants are actually using AI for in 2026
Toast’s 2026 Voice of the Restaurant Industry survey covered 676 restaurant decision-makers, fielded April 3 to 20, 2026. 87% said they feel comfortable using AI, and nearly nine in ten are experimenting with it. Inflation (27%) and hiring (22%) topped the list of challenges operators named.
That tells you something useful about what sticks. AI tools that remove a labor hour or catch a cost get kept. AI tools that add another dashboard get abandoned in week three.
The National Restaurant Association’s State of the Restaurant Industry 2026 projects $1.55 trillion in sales on 1.3% real growth. At that growth rate, a half point of labor cost is the entire profit story for most independents.
The three that pay back on published prices
Before the full list, here is the short version if you only have budget for one thing.
AI phone answering: the clearest labor win
The phone problem is the most expensive problem in an independent restaurant. During service, nobody picks up. That means a caller trying to book a table gets voicemail, and a caller ordering takeout just goes to the next place in their app.
Several vendors publish real per-location prices here, which is rare in this category.
- Slang.ai runs $399 or $599 per location per month depending on plan, covering reservations and guest questions. Notably, Slang handles reservations and questions, not takeout ordering.
- Hostie publishes three plans (Essential, Premium, Hospitality Plus) but requires a signup to see the number. Their comparison table against Slang and SoundHound notes automated reservations and automated takeout orders both send links rather than complete in-app.
- Loman and PolyAI do not publish prices. Loman’s pricing page says “Request Pricing” with no figure and no per-minute fee language.
Square’s AI-powered voice ordering is in beta on Square Plus and Premium. Call fees are not listed on the help page.
Here is my honest read on this category: you are buying a shift that never ends. A hostess who would otherwise be on the phone during peak can be on the floor. The vendors above will demo beautifully. The question you should ask is what happens when the caller asks something outside the script, because the answer to that is the whole product.
Scheduling from forecast: where labor actually leaks
Most restaurants overstaff on slow days and understaff on Fridays. That is not a discipline failure. It is a forecasting failure, because nobody can predict Saturday sales without looking at data and weather and events, and doing that by hand every Sunday is a job nobody wants.
Two vendors publish prices:
- Lineup.ai is $79 per location per month for forecasts only, $149 per location per month for forecasts plus scheduling. Annual commitment gets 10% off. The forecast tier includes a custom labor allowance budget and item-level forecasting, so you can staff by dish, not just by day.
- Homebase runs $0 for Basic, $30 for Essentials, $70 for Plus (which adds the AI Scheduling Assistant), and $120 per location per month for All-in-One. Payroll is an add-on: first six months free, then $49 per month base plus $6 per employee paid.
Lineup integrates with Toast, Brink POS, Square, Clover, Snowflake, and Omnivore. They claim accuracy or refund the trial period. One customer testimonial on their pricing page, from Carrot Express’s Director of Operations, credits the tool with roughly 300 basis points of payroll reduction across 17 restaurants, which works out to about 1.1 to 1.3 million dollars annualized. That is a vendor-published customer quote, so treat it as a best case, but a 300 basis point labor drop is the kind of number that pays for itself in two months.
Homebase is the cheaper entry point and it is genuinely useful at $30 if you just want better scheduling. The AI layer starts at $70.
Inventory and invoice scanning: catching the leak
Food cost leakage is mostly boring and mostly invisible. An invoice gets keyed wrong. A recipe does not match what the kitchen actually plates. Waste gets recorded as comps. AI does not fix your recipe discipline, but it does find the variance faster than a human ever will.
MarketMan publishes three tiers:
- Starter at $249/month: real-time recipe costing, Actual vs Theoretical reporting, waste management, one vendor EDI integration, and 50 AI-powered invoice scans per month.
- Growth at $299/month: adds smart ordering, order by recipe, AI-assisted recipe optimization, two vendor EDI integrations, and unlimited invoice scanning.
- Enterprise from $449/month: adds email invoice scanning, advanced reports, unlimited vendor EDI, and read-only API access at 5,000 calls per month.
The invoice scan allowance is the detail most guides skip. If you run a single location with maybe 30 vendor invoices a month, 50 scans covers you on Starter and you never hit the ceiling. A three-location group is already at 90, which means Starter’s cap is a trap and you want Growth.
Winnow and Leanpath do not publish prices. Both list enterprise buyers, and Winnow sizes its packages by annual food cost, which means you will not get a number without a conversation.
The categories where pricing is a sales conversation
Here is where I have to tell you the vendors hide the number. That is not a criticism, enterprise software rarely publishes. It does mean you cannot budget from a listicle, which is why I would rather name it plainly.
Drive-thru and kiosk voice ordering
Presto Voice, SoundHound OASYS, and ConverseNow all price on request. These are chain products, and the customer list includes Carl’s Jr., Chipotle, Five Guys, Denny’s, and Wingstop. SoundHound owns SYNQ3, which is the ordering hardware you may already have running.
If you run a drive-thru with meaningful volume, ask for a per-order price. A per-order fee changes the math completely against a flat monthly subscription, and it is the number that decides whether the deal works.
Review replies and reputation
Ovation and Birdeye both quote on request. Ovation positions itself for “1 or 1000 locations,” which is a strange way to describe a business model and worth probing. If you have 200 Google reviews a month, ask whether AI replies are included in the base price or are a separate credit pack.
Menu and pricing analysis
Toast IQ and Square AI carry no separate price because they ship inside the POS subscription you probably already pay for. If you are on Toast, check what IQ does for you before paying anyone else. MarketMan’s $299 Growth tier adds AI-assisted recipe optimization, which is the closest thing here to a standalone menu-pricing product.
Marketing: where you probably already have enough
Restaurants overbuy marketing software. You likely have Mailchimp or Klaviyo already, plus a scheduling tool, plus review management, and most of it sits idle.
Before buying another marketing platform, connect what you have to your POS and see if you can build a simple automated campaign. Mailchimp‘s paid plans start at $13 or $20 per month depending on tier and add-on mix, and the restaurant marketing tools that surfaced most often in 2026 pricing comparisons run around $179 per location per month. That gap is the reason to consolidate rather than expand.
For automation glue between systems, Zapier and Make are the standard picks. If you want to see how much of a workflow you can build before committing to restaurant-specific software, we have a breakdown of AI automation tools and their real pricing that covers the setup cost.
What a one-location stack actually costs
Here is the honest version, using only published prices.
| Tool | Job | Published price |
|---|---|---|
| Homebase Plus | AI scheduling assistant | $70 / location / mo |
| Lineup.ai | Forecasts plus scheduling | $149 / location / mo |
| Slang.ai | Phone answering and reservations | $399 to $599 / location / mo |
| MarketMan Starter | Inventory, waste, 50 invoice scans | $249 / mo |
| MarketMan Growth | Unlimited scans, recipe AI | $299 / mo |
A one-location operator running all of the above spends $1,017 a month, which is $12,204 a year. That is a big number for a restaurant doing $700,000 in annual revenue, where labor is usually 30 to 35%.
Now the flip side. If Lineup’s 300 basis point labor claim holds even at a third of that for a single location, you save roughly $7,000 a year on labor. Add recovered phone orders and reduced food waste and the stack can work. But only if you run it well, and “run it well” is the part vendors do not sell you.
My recommendation is to pilot one job for 30 days. Not a demo, a real pilot with real numbers. Phone answering is the easiest to measure because you can count calls that went unanswered before and answered now. Scheduling saves money but takes longer to prove because you need clean baseline labor data first.
The mistake I keep seeing
Restaurants buy AI on a lumpy schedule. Something goes wrong in March, someone buys a $249 inventory system. In June the phone rings and gets missed, so now there is a $399 phone system too. By September they have four subscriptions, three of which overlap, and nobody knows which one is producing the results.
The better sequence: pick the single most expensive recurring problem, fix it with one tool for a quarter, and get the number. Then decide on the second. Comparing tools afterward with actual cost data is far easier than guessing up front.
Two specific warnings. First, if a vendor will not tell you the per-order or per-minute cost on a phone system, ask what happens in your busiest month, not your average. Second, watch the plan that looks cheap until it hits a cap, like MarketMan Starter’s 50 invoice scans. That cap is where the good pilot becomes an expensive surprise.
Two more tools worth a look
One is Zapier, which handles the integration work between your POS, your booking system, and whatever AI tool you settle on. It starts with a free tier that is fine for testing a single workflow before you commit to restaurant-specific software.
The other is Notion, which sounds strange for a restaurant but shows up constantly as the free home for SOPs, prep lists, and shift notes. Those are exactly the documents an AI ordering or kitchen tool needs to read to answer a question correctly, and a lot of operators already have their processes there.
The bottom line
Three categories clear the bar for a one to five location operator in 2026: AI phone answering, forecast-driven scheduling, and inventory with invoice scanning. Those run from $70 to $599 per location per month on published prices. The rest, drive-thru voice, review management, enterprise inventory, still live behind a sales call, and you should budget them as unknown rather than zero.
Pilot one for 30 days with real numbers. Most of the value in this category is not the AI. It is finally getting the phone answered and the schedule built from data instead of instinct.