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Donatos brought Revmo to all 174 stores and lifted phone order conversions from 58% to 71%. That added 26,800 orders in five months while crews stayed on the makeline. Here's how the rollout worked.

Across five months, Donatos answered 301,388 calls, converted 71% of them, and reclaimed 4,841 staff hours in a single month. It started by looking at the numbers. The free AI Listen-In Audit shows what your locations are leaving on the phone before you change a thing.

When a major reservation platform goes down at 7pm on a Saturday, it’s not a “minor issue.” It’s a revenue event. Online booking quietly dies > guests start calling > every host stand in the market gets hammered without warning. Inside the restaurant, the chain reaction is always the same: - Table status gets messy - Changes don’t sync across devices - The team stops trusting the screen - Guests feel the chaos long before anyone says “we’re having tech issues” This weekend, we watched that happen in real time. The difference for brands running Revmo: even while the reservation system was struggling, we were still catching the inbound demand; answering the calls, capturing the booking details, and keeping the front desk from getting buried. That’s what Revmo is built for. Not just “answering the phone,” but giving multi-location brands an orchestration layer that keeps demand flowing even when a single tool has a bad night. If you’re wondering how resilient your own guest workflows really are, it’s probably a conversation worth having. DM me or book a meeting here 👇

Donatos Pizza has been one of the best examples of what Revmo AI is built to do. Over the last year, they rolled Revmo out to 174 stores and turned a painful, high-friction call experience into a scalable revenue channel. The result: tens of thousands of incremental new orders that previously died on hold or busy signals. What I like about this story isn’t just the lift in orders - it’s the workflow behind it: • Capturing inbound demand across hundreds of locations, consistently • Handling the call, qualifying, and placing the order without human babysitting • Updating the right systems so operators can focus on service, not juggling phones This is the pattern we’re building for any multi-location, service-led brand where customer interactions are messy and operations are complex: use agentic AI to orchestrate the interaction and the downstream work. If you’re thinking about how AI fits into your guest or customer experience in 2026, this is one concrete example of what “operational, not experimental” looks like. Full case study here👇

You don’t have 22 hours a month to sit in the back office listening to call recordings. Our AI does it for you in seconds, identifies the $4,200 in missed orders, and tells you exactly how to fix it. No fluff, just the data you need to grow.

Managing a chain is impossible when you don't know what’s happening on the phones. Donatos maintained 99% order accuracy across 26,800+ orders by letting AI handle the auditing. Get the same visibility for your locations with a free AI Call Audit.