Beta

AI module

AI designed as an operating assistant: explainable, scoped, and tied to the workflows managers already trust.

The goal is not magic. It is faster pattern recognition, better prep conversations, and fewer blind spots.

Shipped
0
Beta
2
Coming
1
Copilot assistant in the operator workspace
AI overview

Capabilities

What this module covers today

Claims are tagged at the capability level so shipped, beta, and coming work stays honest as the product evolves.

  • Forecasting support

    Beta

    Forecasting and intelligence capabilities are active and evolving.

  • Operational recommendations

    Beta

    Recommendation workflows stay human-reviewed and tied to source data.

  • Natural-language summaries

    Coming

    Broader daily-summary experiences remain on the roadmap.

Workflow stories

Where AI shows up in the operating loop

These stories show how this module connects to the surrounding handoffs, data deltas, and live-demo screens.

Forecast signals

14-day par risk before service

Action recommended

Mozzarella below par

Forecast demand: 192 Margherita pizzas over the next 14 days.

12.4 lb short

On hand

12.4 lb

14-day par

25.0 lb

Suggested PO

80 lb

Linked recipe

Margherita pizza

Primary room

Cold Storage

Next step

Create PO #4471

Shipped

From Invoice to Margin

Follow one ingredient from low-stock signal to invoice match, receiving, menu sale, KDS fire, recipe depletion, and margin review.

Ask Provisions

What should I fix before the dinner rush?

The question is scoped to tonight's unit, reservation book, staffing, and live service signals.

Unit-scopedService windowGrounded answer

Window

Tonight 5-9 PM

Bistro demo unit

Load

142 covers

Patio pressure from 6-8 PM

Need

Actionable answer

No generic advice

Shipped

Ask Provisions

Ask one service question and watch the answer cite guest memory, live operations, and follow-up actions instead of becoming generic advice.

Forecast

142 covers

Dinner demand

Coverage

1 short

6-8 PM risk

Time cards

2 exceptions

Review before tips

Payroll

Ready

Balanced export

Suggested action: add one patio server, approve role transfer, export after tip pool review.
Shipped

From Forecast to Payroll

Follow demand forecast through schedule coverage, clock-ins, shift review, tip allocation, and payroll-ready export.

Demo intent

Owner persona and reporting interest carry into setup

A buyer can move from marketing demo to guided setup without losing module interest or unit context.

Demo contextGuided setupNo reset

Persona

Owner

Buying workflow

Interest

Reporting

Demo module retained

Unit

Bistro

Setup preselected

Shipped

Day One: From Demo to Go-Live

Follow a new operator from marketing demo intent through guided setup, sample-data rehearsal, readiness blockers, and first close-out.

Demo seed screenshots

Screens captured from the live demo dataset

These images come from the demo Playwright screenshot workflow, not hand-curated mockups.

Copilot assistant in the operator workspace
AI overview
In-product help for inventory workflows
Contextual help
Copilot guided operational answer
Guided answer
Demand forecasting and accuracy review
Actionable guidance

See the AI module in context

Tell us what your operation looks like and we will tailor the walkthrough around this module.

No spam, no surprise sales sequence. Just a practical follow-up.