Little Italy, an Italian restaurant and pizzeria in Port St. Lucie, Florida, had two people on the phones during the dinner rush and still lost calls. An AI phone agent now takes all takeout orders and sends them into the Toast POS. One person handles questions, reservations and callers who want to talk to someone. Many of its customers are older, and they got used to it.
Business type: Restaurants & cafés. Tool used: Loman AI (voice AI). Result: Labor costs went down by over 24%. Before, they lost about 2 of every 10 calls during the rush. It went live in 3 days.
Source: Loman case study (Company case study) · Added Fri, Oct 23 · Last updated 2026-10-23
Labor costs went down by over 24%. Before, they lost about 2 of every 10 calls during the rush. It went live in 3 days. (as reported by the source)
Guide: AI receptionist for small business: real examples and how to set one up
Guide: AI phone ordering for restaurants: real examples and how to set it up
Little Italy, an Italian restaurant and pizzeria in Port St. Lucie, Florida, had two people on the phones during the dinner rush and still lost calls. An AI phone agent now takes all takeout orders and sends them into the Toast POS. One person handles questions, reservations and callers who want to talk to someone. Many of its customers are older, and they got used to it.
Loman AI (voice AI).
Labor costs went down by over 24%. Before, they lost about 2 of every 10 calls during the rush. It went live in 3 days. (as reported by the source)
Connect the AI phone agent to your POS (here, Toast). Let it take all takeout orders. Keep one person for questions, reservations and callers who want a human.
Answers come only from the source. Questions it doesn't answer are left out.
Our own prompt for copying this setup. Swap in your details. Not quoted from the source.
You take phone orders for [Restaurant]. Use only this menu and these prices: [menu]. Repeat each order back, give the pickup time, and send it to our POS. If the caller wants a reservation or wants a person, transfer them to [staff].
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