Based on 5 reviews
EXPO is an AI operating system that applies Agile and SAFe operational discipline to restaurant operations, connecting back-office functions like point-of-sale, scheduling, inventory, accounts payable, and payroll into a single system for multi-unit restaurant groups.
The platform is specifically designed for multi-unit restaurant groups looking to connect disparate back-office and back-of-house functions into one unified system to improve labor efficiency and reduce waste.
Operators can start by booking a 90-day pilot to test the platform's capabilities within their own restaurant operations.
The platform uses sprint, pre-shift standup, and post-mortem retro cycles to create an operating rhythm similar to software teams but applied to restaurant floor management.
EXPO claims to have saved $5,864 per hire shift by reducing turnover and improving retention through its integrated labor and scheduling tools.
The platform aims to increase net margins from the industry benchmark of 4% to 6% or higher by reducing waste and automating AP invoices.
The co-founders include a 20-year software engineer who architects data pipelines and a 20-year restaurant operator who has owned the P&L for labor and food cost.
The platform is built by a team that combines engineering rigor with floor wisdom, ensuring the software respects the realities of the Saturday night rush.
EXPO is positioned as a trusted on-ramp for the 82% of restaurant executives planning to increase AI investment this year, addressing the gap between capital readiness and adoption.
The platform is described as a rare overlap of engineering and operations, creating a moat where most restaurant tech fails by being built by engineers who haven't run a Friday rush.
EXPO is built by a software engineer and a restaurant operator who combined their 20-year careers to create a single operating system.
The official website of EXPO is expowndw.ai.
On Trustburn, EXPO has a rating of 3.8 out of 5 based on 5 reviews.
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This is exactly what the industry has been waiting for. Bringing engineering rigor to the kitchen floor is brilliant. The focus on reducing waste and improving labor efficiency through a unified operating system is a game-changer. I am excited to see how the AI agents handle invoice coding and payroll prep in real time.
The Agile translation is clever, but how does it compare to standard scheduling tools? It seems promising for large groups.
The concept of encoding Agile frameworks into restaurant ops is intriguing. However, the advertised terms regarding the 90-day pilot need more detail. Does the pilot include full implementation support, or just the software access? The savings on labor and waste are compelling, but without clear boundaries on what is included, it is hard to assess the true value. For someone considering this company, understanding exactly what is covered during the trial phase is essential before committing to a larger rollout.
What stands out is how EXPO bridges the gap between software engineering and actual restaurant operations. It is rare to find a platform built by people who truly understand both the back office and the back-of-house. The way it translates Agile and SAFe disciplines into daily restaurant life feels intuitive rather than forced. Having a single command center that orchestrates existing POS and payroll tools eliminates the chaos of juggling dozens of disconnected apps. The idea of treating a shift like a sprint with clear standups and retrospectives makes so much sense for improving throughput. It feels like the team really gets the reality of a Saturday night rush, not just the theory. This seems like the missing piece for groups trying to modernize without throwing out everything they already own.
The pricing structure seems competitive for running multiple locations. Is the 90-day pilot included in the base cost, or billed separately? The potential to save on labor and waste looks promising for our growing brand.
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EXPO is a software platform that applies Agile and SAFe operational discipline to restaurant operations. It is designed for multi-unit restaurant groups, with the stated goal of connecting back-office and back-of-house functions such as point-of-sale, scheduling, inventory, accounts payable, and payroll into a single system. The platform is presented as an AI operating system aimed at improving labor efficiency, reducing waste, lowering turnover, and increasing net margins. It is being pitched as a 90-day pilot for restaurant operators and is described as built by a software engineer and a restaurant operator. The scraped text is framed as an executive pitch prepared for Doherty Enterprises.