SOMEHO · An AI-first agency for hospitality
AI implementation for hospitality.
Your till shows what sold. Your reservations show what is coming. We bring available data together and build AI support for analysis, margins and planning. From a clear weekly overview to a proposed staff schedule, shaped around the decisions you and your team make every day.
What to expect
- Numbers you can trace to their source
- Insight into trends, margins and demand
- Proposals your team reviews
The details
A clearer view of the business behind the numbers.
As an AI-first agency, we connect restaurant marketing with day-to-day operations. We start with your question and check which data is usable. Then we build analysis, reporting and workflows around the way your restaurant is run.
Business analysis & trends
We bring available point-of-sale, reservation and cost data together. Compare service periods, weekdays, seasons and sales mix. We highlight differences alongside their sources and any missing information.
Menu & profit optimisation
We investigate where profitability needs attention, from sales and ingredient prices to recipes and staffing. Calculations and assumptions remain visible so you can assess changes to prices, dishes and opening hours.
Staff planning & demand
We work on scheduling proposals using reservations, previous demand, availability and your team’s agreed conditions. Your manager reviews the suggested staffing and approves the final schedule.
An overview your team can use
A dashboard, weekly report or focused notification: we choose a format that works for your team. Sources, last updates and items needing review stay visible. Recurring marketing tasks and guest follow-up can be included too.
02 / From data to action
From separate data to a considered decision.
Explore how an overview can support the steps from source to review and action. The final setup depends on your systems, team and questions.
The owner’s question
What is behind the difference between lunch and dinner?
What we compare
- Sales by service periodCompare
- Matching weekdaysDefine
- Promotions or closuresExplain
A next step
Compare matching weekdays and account for promotions or closures. Then discuss whether the difference is a pattern or an exception.
For discussion with your team- 01Data
- 02Analysis & review
- 03Decision
Your team decides
An example of how an overview could work. No live business data or client results.
Trace it to the source.
We make the source of each figure clear and identify information that is still missing.
Keep assumptions visible.
Estimates and corrections are identified separately so you can review them.
Stay in control.
We agree which steps can proceed and where your approval is needed.
How we work together
One question. A working pilot. Then build on it.
Question & data
We choose one decision that currently takes too much time or lacks clarity. We review software, exports, data quality and access, then agree the scope, costs and evaluation criteria.
A pilot alongside your work
We build an initial analysis or workflow with the agreed data. Your team checks the output against source files and everyday operations. Missing information and corrections remain visible.
Set up & make it yours
If the pilot proves useful, we implement the next steps. We test, train your team and agree who reviews, maintains and adjusts the system. Begin with a project or choose ongoing support.
Good to know
Frequently asked questions
What does AI implementation mean for my restaurant?
We turn a recurring question or task into a practical tool: a weekly business review, insight into your sales mix or support for staff planning. AI can help explain information and suggest next steps. We design calculations, source checks and clear responsibility around it.
Will it work with our current till or reservation software?
We check available exports, access and integration options before we start. A pilot can sometimes begin with files. We only commit to an integration after establishing what your systems support.
How can this help improve profitability?
It helps identify questions worth investigating: how your sales mix is changing, which costs are moving and whether staffing matches demand. Its usefulness depends on the data and the decisions you make. We agree a concrete pilot objective without promising a fixed profit increase.
Does AI produce our schedule on its own?
We can support proposals with demand, availability, roles and agreed conditions. The responsible manager checks feasibility, exceptions and team agreements before approving the final schedule.
How do we stay in control of our data?
We agree which information is needed, who can access it and where it is processed. Source values are preserved, and corrections and assumptions remain identifiable. We define where a person must review or approve important actions.
Can we start small, and what does it cost?
Yes. We start with one clearly defined question. The price depends on data preparation, the chosen application and integration requirements. You receive a proposal covering the work, cost and deliverables before the pilot begins.
Let’s get to know each other
Which decision would you like to understand better?
Tell us where you need a clearer view and which systems you use. We will explore a first application that fits your restaurant.