A decade of building for hospitality

The bar industry runs on gut instinct. It should run on intelligence.

Doherty AI sits at the intersection of artificial intelligence and the hospitality industry, building the autonomous systems that bars and restaurants have been waiting for.

Every bar in America counts bottles by hand. Every restaurant guesses how much to order. That era is ending.

The hospitality industry generates massive amounts of data every night: POS transactions, pour counts, vendor invoices, waste logs, sales patterns. But the tools that manage this data still require humans to do the heavy lifting.

AI agents change the equation. Not AI features stapled onto old software. Autonomous systems that handle the entire inventory lifecycle: counting, ordering, cost tracking, waste detection, and profit optimization, all without a manager staring at a clipboard at midnight.

Where AI meets the bar

Three areas where autonomous intelligence transforms how hospitality businesses operate.

01 / Inventory

Counting is a solved problem

Bar managers spend 5-8 hours a week counting bottles, kegs, and cases. AI agents can track inventory in real-time, reconcile POS data against stock levels, and flag discrepancies before they become losses.

02 / Ordering

Reactive ordering is dead

Most bars order when they run out. AI agents predict demand based on historical patterns, seasonal trends, and local events, then generate optimized orders automatically. Less waste, fewer stockouts, better margins.

03 / Profit

Margins hide in the details

The difference between a bar that makes money and one that bleeds is often 2-3% on pour costs. AI surfaces the variances, tracks recipe adherence, and spots the operational leaks that human eyes miss.

10+

Years in hospitality tech

4-10%

Revenue lost to waste annually

~15%

Restaurants using AI today

The people who built hospitality software should build hospitality intelligence.

The next generation of restaurant and bar technology will not be built by outsiders guessing at operator pain points. It will be built by the people who lived them.