Live product demo

Running a restaurant can be as simple as sending a message.

Pick a pain point you already know from the business and see how the agent resolves it inside a live restaurant management system.

How it works

No long presentation. Straight to a live example.

01
Choose the pain

Profit, stock, purchasing, or owner control.

02
Open the chat

The user writes the task the same way they think about it in the business.

03
See the result

The agent finds the cause, prepares an action, and shows the outcome inside the system.

Core idea

Not AI for AI’s sake, but a new interface to real restaurant operations.

Selected pain

Revenue looks fine. Profit is falling. Why?

One of the most expensive situations for an owner: money keeps coming through the register, but the business earns less and the real reason becomes visible too late.

popular dishes still sell, but generate less profit
food cost grows quietly
write-offs eat the margin

Scenario 01

Revenue looks fine. Profit is falling. Why?

Ready to start Step 0 of 6
Chat timeline
Live example of the agent at work
scenario not started
Choose the pain and launch the scenario

Revenue looks fine. Profit is falling. Why?

Press the button and we will show how the agent moves from the user’s question to a concrete management outcome.

What the customer gets

With one request, the owner understood where the profit was leaking.

Pain

Profit is down, but the cause is not obvious.

Analysis

The agent compared sales, margin, food cost, and write-offs.

Action

The system found the problem dishes and the main source of the loss.

Outcome

The owner received a clear conclusion and a list of priority actions.

Request a demo

More cases

The same agent closes different restaurant pain points.

What this is

Not a chatbot for answers. A restaurant operating system with an AI agent.

Natural language is not a marketing gimmick here. It is a new interface to sales, stock, purchasing, recipe cards, food cost, production, and management analytics.

Owner or manager
AI agent
Unified operating and accounting core
Decision and result

What the system covers

A full automation layer for foodservice operations.

Sales and revenue

Track sales dynamics, average check, and revenue drops without manually walking through reports.

Stock and inventory

Keep critical items, product movement, and variance causes under control.

Purchasing and suppliers

Build orders faster and make decisions from the real state of the operation.

Recipe cards and food cost

See how margin changes and which dishes are no longer profitable.

Production and write-offs

Control prep production, losses, and operating discipline.

Management analytics

Get executive summaries and working conclusions in the language of the business.

Why owners care

The system is not for reports. It is for speed and transparency of decisions.

see the problem before it eats the margin
make decisions faster without manual routine
run the business from one picture
reduce dependence on individual employees

How adoption works

A move from manual chaos to a working system, not to another complicated interface.

01

We connect the accounting core and key restaurant processes.

02

We set up the scenarios the agent should run every day.

03

We show the team real cases: profit, stock, purchasing, reports.

04

The team starts using the system as a working interface, not as a rare back office.

FAQ

Questions owners and operators ask before booking a demo.

Is trest.app a chatbot or a restaurant management system?

trest.app is a restaurant management and accounting system with an AI agent on top. The chat is an interface to sales, inventory, purchasing, recipe cards, food cost, write-offs, and management analytics.

Who is the product designed for?

It is designed for restaurant owners, operators, finance leads, and managers who need faster control over profit, stock, purchasing, and daily execution without manually assembling reports.

What can the agent actually do?

The agent can explain margin decline, prepare owner summaries, surface risky stock positions, assist with purchasing, highlight write-off issues, and convert restaurant data into concrete next actions.

Is this an add-on over existing accounting tools?

Trest.app is positioned as the operating and accounting core itself, not just a thin AI layer. The point is one system for restaurant control with a natural-language interface.

What happens during the demo?

The demo walks through real scenarios around profit, inventory, purchasing, food cost, and executive reporting using the language your team already uses in daily operations.

Next step

We will show how this would work in your restaurant.

During the demo we can walk through cases around profit, stock, purchasing, recipe cards, reporting, and daily operations in the language your business team already uses.