Case study

One operator, three brands, ~896 orders a week.

What a 14-day shift looks like inside a single Braiseflux kitchen — same data shape, same chrome, same control room a real operator lands in on day one.

Order volume

Three brands, one kitchen, three different rhythms.

The same dashboard chrome the homepage already shows — each tile carries the four KPIs an operator watches during service (orders-per-hour, weekly totals, weekly revenue, sync freshness). The numbers on each tile change independently because each brand orders at its own pace; the system never flattens them into one number.

Review response time

The reply agent posts the first pass in under five minutes — you stay the final voice.

Every review from every marketplace lands in one inbox, ranked by sentiment and brand. The reply agent drafts in the operator's voice; the operator vetoes or lets it fly. Reply rate climbs, ownership of tone never leaves the kitchen.

Multi-platform listing sync

One menu, three storefronts, one source of truth.

DoorDash, Uber Eats, Grubhub and the in-house POS read the same menu snapshot the operator edits on the kitchen side. When an 86 fires on one platform it 86s on all three in the same minute — the kitchen never gets a surprise order for a sold-out item.

14-day portfolio summary

Two weeks of orders, one glance.

Every bar is a day; the height is the count of orders the operator pushed out across all three brands. Friday peak, weekend dip, second Monday re-accelerate. The same chart was sitting in the Monday portfolio digest that morning.