Cibuscibus.
AI Insights

Restaurant intelligence that understands the shift.

Ask operational questions and review daily briefings across sales, menu, kitchen, staff, permitted customer context and financial-health signals — with recommendations kept under operator control.

Cibus AI Insights · Daily briefing
Illustrative
Daily briefing
Sales
Menu
Kitchen
Staff
Customers
Financial health
Anomalies
Demand forecast
Ask anything
Daily briefing
Generated from your restaurant data
Sales signals
Generated from POS, QR & Storefront
Kitchen signals
Generated from KDS ticket flow
Staff signals
Generated from shifts & roles
Menu signals
Generated from item & modifier data
Recommended actions
For owner review
Ask AI
Suggested
Which menu items need attention?
Where did the kitchen slow down?
What should I review before tomorrow's shift?
Are there unusual payment or order patterns?
1daily briefing

A morning read on the shift ahead, in plain language.

6signal areas

Sales, menu, kitchen, staff, customers and financial health.

1ask box

Operational questions assessed against permitted Cibus records.

0autopilot

Recommendations for operator review — no silent action.

The problem

Restaurant data is everywhere. Decisions still happen by gut feel.

Owners may review sales, kitchen tickets, staff hours, menu records and customer context in separate reports. AI Insights brings supported signals into defined analysis contexts so authorised managers can investigate operational questions in Cibus.

Today
  • Sales exports
  • Kitchen ticket history
  • Staff hours
  • Menu reports
  • Payment records
  • Customer order history
  • Gut-feel decisions
With Cibus AI Insights
  • Daily briefing
  • Analysis contexts
  • Restaurant-aware questions
  • Menu recommendations
  • Kitchen bottleneck review
  • Staff & labour signals
  • Financial health prompts
  • Action cards for review
Daily briefing

Start the day with the questions that matter.

The daily briefing presents sales patterns, menu signals, kitchen flow, shift activity, anomalies and recommended checks for an authorised owner or manager to review.

Sales signals
What changed since the last service?
Briefing card · for owner review
Menu signals
Which items deserve attention?
Briefing card · for owner review
Kitchen signals
Where did service slow down?
Briefing card · for owner review
Staff signals
Which shift patterns need review?
Briefing card · for owner review
Anomaly signals
Are there unusual order or payment patterns?
Briefing card · for owner review
Recommended actions
What should the manager check before the next shift?
Briefing card · for owner review
Analysis contexts

Ten lenses for running the restaurant.

01
Daily briefing
A manager-ready summary of what happened and what to check next.
02
Sales analysis
Period-over-period patterns, channels, categories and service windows.
03
Menu optimisation
Item and category patterns, modifier behaviour and menu-review questions.
04
Customer insights
Repeat behaviour, order preferences, dietary patterns and segments.
05
Staff insights
Shift activity, scheduling patterns and labour-related signals.
06
Kitchen insights
Ticket age, station load, prep-time outliers and bottlenecks.
07
Financial health
Operating signals against restaurant-specific financial-health questions.
08
Anomaly detection
Unusual changes, variances or unexpected operating patterns.
09
Demand forecast
Likely demand patterns for planning, prep and staffing.
10
Free-form question
Ask a restaurant-specific question in plain English.
Ask a question

Ask the question you would normally ask a consultant.

Owners don't always need another report. Sometimes they need to ask: 'Why was dinner slower?', 'Which category is underperforming?', 'Where is labour pressure building?' or 'What should I change before Friday?' AI Insights is designed for those restaurant-specific questions.

Question
Suggested prompts
Why did service slow down?
Which menu items should I review?
What changed in customer behaviour?
Where are staff costs becoming risky?
Which stations caused delays?
What should I prep differently next week?
Which channels are growing?
Are any payment or refund patterns unusual?
Context
SalesMenuKitchenStaffCustomersAnomalies
Data scope
TodayThis weekLast periodSelected locationSelected channel
Output type
BriefingRecommendationInvestigationForecast
Menu optimisation

Turn menu data into menu decisions.

AI Insights surfaces item, category, modifier, dietary and pricing patterns for review. The restaurant remains responsible for interpreting the context and deciding whether to act.

Items & categories
Category overview
Best-seller review
Slow-mover review
Modifier patterns
Dietary signals
Allergen fields to verify
Price questions
Seasonal review
Questions to review
Which item patterns need an operator review?
Which modifiers are selected most often?
Which items differ from their category pattern?
Are dietary tags aligned with demand?
Recommended next checks
Compare against last period
Open in Admin · Menu
Draft a Reach segment
Add to next menu review
Kitchen & staff

See where the shift slowed down.

Because Cibus connects POS, QR, KDS, staff and Admin, AI Insights can help managers review kitchen flow and staff patterns together. Ticket age, station load, prep-time outliers and staffing questions become part of the same conversation.

Kitchen signals
Ticket age
Signal · for review
Station load
Signal · for review
Prep-time outliers
Signal · for review
Bottleneck review
Signal · for review
Staff signals
Staff on shift
Signal · for review
Labour pattern
Signal · for review
Schedule review
Signal · for review
Productivity signals
Signal · for review
Financial health & anomalies

Review unusual operating patterns in context.

AI Insights can surface financial-health signals and anomalies across supported sales, labour, menu, payment, discount, refund, void, cash-variance and demand records. A signal is a prompt to investigate, not proof of a cause.

Anomaly review
Pattern detected
Recent variance signal
Area affected
Sales · Menu · Kitchen · Payments
Suggested investigation
Review related records & timeframe
Related records
POS · KDS · Receipts · Shifts
Recommended next step
Owner review · open in Admin
Illustrative · no fake values
AI menu import

Build the menu from what you already have.

Upload a menu photo, PDF or screenshot and Cibus creates an editable draft of items, descriptions, categories, modifiers, allergen fields and dietary tags. The restaurant must verify every field before publishing, especially prices, allergens and dietary information.

  1. 01
    Upload
  2. 02
    Extract
  3. 03
    Review
  4. 04
    Approve
  5. 05
    Publish
01
Upload menu
Photo, PDF or screenshot.
Upload card
02
Extract structure
Draft items, categories, descriptions, prices, modifiers, allergen fields and dietary tags.
Extraction preview
03
Review draft
Owner checks, edits and approves.
Review table
04
Publish to Cibus
Menu powers POS, QR, Storefront and KDS routing.
Publish checklist
Trust & control

Recommendations, not autopilot.

AI Insights presents analysis and recommendations for review. It does not silently change menus, prices, staff schedules or financial settings; an authorised user decides whether to act.

Recommendation · for owner review
Insight generated
Pattern detected in restaurant data
Evidence to review
Linked records in Admin
Suggested action
Operational change to consider
Owner decision required
No silent changes
01
Control
  • Owner review
    Recommendations require human approval.
  • Permission-gated access
    Roles control who sees and acts on insights.
  • Data scope selection
    Choose timeframe, location and channel.
02
Transparency
  • Clear source context
    Supported insights identify the input context available for review.
  • No silent changes
    Menus, prices and schedules require an authorised user action.
  • Admin-linked workflow
    Actions open inside Admin for review.
Decision support

Not autopilot. Recommendations you stay in charge of.

Daily briefings, patterns and answers drawn from permitted Cibus records — surfaced for operator review and never acted on silently.

Example scenario

Before Friday service.

The owner opens AI Insights and asks what to review before Friday dinner. Cibus analyses recent order, menu, kitchen, staff and payment patterns, then returns a briefing with areas to check, questions to ask the manager and actions to review before service.

Illustrative scenario
Step 01
Open daily briefing
Step 02
Select Friday dinner context
Step 03
Review sales signals
Step 04
Review kitchen signals
Step 05
Review staff signals
Step 06
Review menu signals
Step 07
Ask follow-up question
Step 08
Decide next actions
FAQ

AI Insights questions, answered.

Is AI Insights a generic chatbot?

No. AI Insights works with Cibus restaurant operations data and defined analysis contexts; it is not a general-purpose assistant.

Put restaurant signals into an operator review.

Use AI Insights to review a shift, ask operational questions and prepare menu-import drafts across supported sales, menu, kitchen, staff, customer-context and financial-health records.