Five Locations, Five Mismatched Sites, and a Menu Nobody Trusted

A growing restaurant group had five locations and, somehow, five different websites. Each had been built at a different time by a different person. Menus did not match. Hours were wrong. One site still showed a holiday closure from the year before. A hungry customer looking for the nearest branch could not tell which page to trust, and often gave up and ordered from somewhere else.

The deeper problem was that nothing was connected. When the kitchen changed a price or dropped a dish, someone had to remember to update five separate sites, and they never did. So the menu online rarely matched the menu in the restaurant, which is the fastest way to annoy a customer before they even arrive. Online ordering, where it existed at all, was clunky and different at every location.

The group was spending real money on food and staff, then losing customers at the last step because the website could not tell them, correctly, what was on the menu and whether the door was open.

AI moved the build along. It generated the location pages from a single template, wrote the repetitive code that keeps every branch consistent, and handled the plumbing that pushes one menu update out everywhere. Standing up a multi-location site the old way is slow and repetitive, and AI took most of that off the table.

People made the choices that win orders. How the ordering flow should feel so a hungry customer sails through it. What a customer needs to see first when they land looking for dinner. Which location details matter and which are clutter. AI can generate five location pages in minutes. It cannot tell you that showing “open now” above the menu is worth more than any design flourish. Someone who thought about the hungry customer made that call.

Any business with multiple locations hits this wall. Gyms, clinics, salons, retail chains, franchises. Each location ends up with its own drifting page, the information goes stale, and customers cannot tell what is true or which branch to use. The cost is orders and visits lost at the last step.

The approach is the same: one site for every location, one source of truth updated once, the nearest open branch findable in a tap, and AI doing the repetitive build so the money goes into the experience that actually converts.

Give us your locations and how customers order today. You get back where the current sites lose orders, a plan for one connected site, and the update process that keeps every location accurate.