Operations
Brunch tickets: 31 minutes to 9
Shy Bird, a Boston restaurant, had a hard Saturday brunch. Waits climbed past 30 minutes, and the longest ticket took 45 minutes. The co-founder sent the AI on his phone the shop's product-mix data, ticket times, and photos and video from the line. The AI found the block in minutes. One grill station handled 67% of dishes, and wraps alone were 25% of volume. The team then redesigned that station for two people at peak, and for one person off-peak.
How it wentWith partial changes the next day, peak ticket times fell about 20%, to 24.9 minutes. With the full redesign the next weekend, the same volume went out in 9 minutes, per the vendor blog. Line cooks adjusted the AI's plan before it ran.
Try it · based on the source's workflow
Analyse one busy service at [restaurant name]. Use this ticket and product-mix data: [paste or attach], and these photos or notes from the line: [attach]. Tell me which station slows the service most, what share of dishes passes through it, and the smallest layout or staffing change that would cut ticket times. Show me the plan and the numbers behind it before we change anything in the kitchen.
A starting template based on the workflow the source describes. Review it before you use it; you are responsible for what it does.
Brunch tickets: 31 minutes to 9 — from The SmallOffice Brief, a daily brief of real AI cases for small businesses: https://smalloffice.space/case-brunch-tickets-31-minutes-to-9