PropertyWeb
Hospitality directory
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Food & beverage
AI development for food and beverage
Food businesses run on thin margins and messy data. Menus differ across the POS, the website and three delivery apps, allergen information is out of date, and phones ring through the dinner rush. AI is useful here when it reads from one clean menu source and writes orders into the POS correctly.
We build ordering and reservation agents for phone and chat, a single menu and allergen data source synced to every channel, forecasting for prep and purchasing, and integrations with POS, delivery and reservation platforms.
Talk to an engineer →Scope in one week. You own the repo from commit one.
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.
Problems we solve in food & beverage
- Phones ring unanswered during peak service.
- Menu, price and allergen data differ between the POS, site and delivery apps.
- Prep and purchasing are planned from memory, and waste follows.
- Guest questions about ingredients get inconsistent answers.
- Reviews and feedback across platforms are never read in aggregate.
- Multi-location operators have no single view of what sells where.
What we build
Systems we build for food & beverage
01
Phone and chat ordering agent
Takes orders and reservations, handles modifiers and upsells from the live menu, and writes directly to the POS or reservation system.
02
Menu and allergen data source
One structured menu with ingredients and allergens, synced to POS, website and delivery platforms, with changes reviewed before publish.
03
Demand and prep forecasting
Forecasts by item, location and daypart from sales history, weather and events, feeding prep lists and purchase orders.
04
Guest question assistant
Answers on ingredients, hours and policies from the menu source only, declining when allergen data is incomplete.
05
Review and feedback analysis
Reviews across platforms classified by location, dish and issue, summarised weekly for operators.
06
POS and delivery integration
Two-way connections to POS, online ordering and delivery platforms, with sales data landed in one warehouse.
Shipped in this industry
Running in production
Client names stay under NDA. The shapes do not.
Food & beverage questions
Something else? Email t@moher.ai and an engineer will answer it.
Which POS systems do you integrate with?
The common restaurant POS and online ordering platforms, through their partner APIs. We confirm API access for your setup in the first week.
How do you handle allergen accuracy?
Allergen answers come only from the structured menu source, never from model knowledge. If an item's data is incomplete, the assistant says so and refers the guest to staff. That rule is tested in the eval suite.
How is payment data handled?
Card payments stay with your PCI-compliant POS or payment provider. The AI layer never sees or stores card numbers.
Does this work for a single location?
The ordering agent and menu source work for one location. Forecasting and cross-location reporting pay back more at multi-unit scale.
What does a first engagement look like?
Usually the menu data source and the ordering agent together, since the agent depends on clean menu data. Four to eight weeks.
Tell us what you need built
Four quick questions and an email. An engineer reads every brief and replies within one business day with next steps, and a written scope follows within a week.
- Written scope and price within a week
- Production deploy by week three
- Your repo and cloud from the first commit
- Senior engineers only, no account managers
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.