All case studies
The shared problemMulti-location chain

ONE CHAIN, ONE PROBLEM: THE RUSH

Across the chain, every location hit the same wall — the busiest hours were the ones losing the most orders. A phone that rings out during a dinner rush is a ticket that walked. AI Voice HQ rolled out across the chain, and three of its locations show three different ways we solved it.

01
The problem

THE BUSIEST HOUR WAS THE LEAKIEST

When the counter is slammed, nobody can get to the phone. Across the chain, locations lost orders the same way — not from bad service, but from no service: calls that rang out while staff were heads-down on the line.

One rollout, many operations

The group launched on AI Voice HQ across the chain. Every call is answered on the first ring and the order moves into the existing workflow, so the rush no longer decides which customers get through.

Shared platform, local behavior

No two locations run the same operation. The three case studies here are representative of the problems we solved: Omaha leans on catering and advance orders, St. Louis's menu is built on combos and specials, and Richmond needed the call flow tuned around how its customers actually behave. The same platform absorbs all of it.

The stories that follow

Each of the three case studies here covers what that location needed, what we built with them, and how the product changed because of it — capabilities that often started at one location and now help the whole chain.

What changed

Every call answered, including through peak rush

A single platform deployed across the chain

Each location's workflow tuned to its own operation

Capabilities that started at one location now help the whole chain

Next step

WANT THIS FOR YOUR MENU?

Book a meeting and we will walk through how AI Voice HQ would handle your menu, phone flow, and handoff rules.