Inside a Bohaus Sprint: A Neighborhood Bar

The situation

A neighborhood bar with a kitchen, a loyal crowd of regulars and an owner who works most nights behind the bar. A general manager handles the schedule and ordering. Sales run through the point-of-sale system, reservations through a booking tool, and inventory through a clipboard and a spreadsheet on Sunday mornings.

Private parties and events are a growing part of the business, but inquiries arrive through the website, social messages, phone calls and people asking at the bar. Quotes are typed one at a time. Some inquiries never get an answer.

Liquor costs creep up and no one can say exactly why. Staffing is set by habit, so slow Tuesdays are overstaffed and busy Fridays run short. The regulars are known by face and first name, and when one stops coming in, nobody notices until months later.

What the sprint finds

Discover runs over two weekends and a weekday. We work alongside the closing bartender, watch the Sunday count, read a season of event inquiries and export a year of sales by hour and by item.

The data is better than anyone expects. The point-of-sale system already records what sold, when, and often to whom. The reservation tool holds names, party sizes, phone numbers and occasions. The inventory counts, though handwritten, go back months. None of it is connected.

In Diagnose, the ranking comes down to data. Every problem on the owner's list, from pour loss to staffing to quiet regulars, can be answered by joining the same three sources. So the one live system is a single connected data layer: sales, inventory counts and the guest list in one place, built on the tools the bar already uses, with a dashboard the owner can read on a phone.

What it builds

Build connects the guest's lifecycle to the bar's numbers.

Event and party inquiries. Every inquiry, from any channel, lands in one list. A short form collects date, headcount, budget and package. An automatic quote goes out from approved packages within minutes, with a deposit link. Follow-ups run until the guest books or declines. The manager approves anything off-menu.

Pour loss. Weekly counts are entered on a tablet and compared against what the point-of-sale system says was sold. The gap by product, by shift and by week shows where variance lives. AI writes a short weekly summary of the biggest gaps and likely causes, such as over-pouring, comps not rung in or a recipe that does not match the build in the system.

Staffing. Sales history by hour, reservations, booked events and local event dates feed a demand forecast for each shift. The schedule draft starts from that forecast. The manager makes the final call.

The guest list. Reservations, events and opted-in tab data build a record for each guest: visits, occasions, favorite items, private events hosted. Birthday offers go out ahead of the date. Event invites go to the guests who came to similar nights. Regulars who visited often and then stopped get a personal note from the owner, drafted by AI and approved before it goes.

Only guests who opted in get messages, and every message offers an easy way out.

Hand over

Hand over is short and practical. The general manager learns the inventory entry, the variance view, the forecast and the event pipeline. Bartenders learn how to log comps and waste properly, which turns out to matter most for clean numbers. A playbook explains the weekly routine, the guest messaging rules and who owns the data.

The owner's dashboard shows sales by daypart, pour variance by product, labor against forecast, event inquiries and bookings, and active, new and lapsed guests. A 30/60/90-day roadmap lists menu engineering and supplier price tracking as next steps.

What changes

Event inquiries get a quote while the guest is still excited. The Sunday count turns into a number someone acts on. Schedules match the room. The owner learns which regulars have drifted and reaches out before they are gone for good.

Decisions that used to rest on gut feel now rest on the bar's own numbers.

What this means for your business

When every question on the owner's list traces back to data you already collect, connecting it is the first project, not the last.

For a bar, that means joining sales, counts and guests. For a craft brewery taproom, kegs and club members. For a coffee roaster with a cafe, beans roasted against cups sold.

That is a Bohaus Sprint: six weeks, fixed scope, four phases (Discover, Diagnose, Build, Hand over), and one live system inside the tools you already use, with a trained team, a playbook, a dashboard and a 30/60/90-day roadmap.