User Guide
Admin Dashboard
The dashboard is your central command center for managing your restaurant. Access analytics, staff, reservations, and much more -- all in one place.
Daily Statistics Overview
When you open the dashboard, you see a summary of today's performance at a glance:
Total Revenue
Today's total sales including VAT
Order Count
Number of orders placed today
Average Order
Average order value
Guests Served
Total number of guests today
Revenue Analytics
Dive deeper into your revenue with detailed breakdowns:
- •Hourly revenue chart -- see which hours are busiest and plan your staffing accordingly
- •Revenue by category -- understand which menu sections generate the most income (e.g., main courses vs. drinks)
- •Revenue by payment method -- see the split between cash, card, girocard, and mobile payments
Top Selling Items
View a ranked list of your best-selling menu items. Use this data to make menu decisions -- promote popular items, adjust pricing, or consider removing items that rarely sell.
Waiter Performance
Track how each waiter is performing with metrics including:
- •Total revenue generated per waiter
- •Number of orders handled
- •Average order value
- •Tips received
Weekly Comparison
Compare this week's performance to last week with side-by-side charts. See trends in revenue, order counts, and average order value to identify growth or areas that need attention.
Cash Book (Kassenbuch)
The cash book tracks all cash movements in your business -- not just sales, but also expenses, deposits, and withdrawals.
- •Add income entries -- record cash from non-POS sources
- •Add expense entries -- record supplier payments, petty cash expenses, etc.
- •Running balance -- always know how much cash should be in the drawer
Legal Requirement
A proper Kassenbuch is required by German tax law. All entries are stored permanently and cannot be deleted (GoBD compliance). Keep your cash book up to date daily.
Staff Scheduling
Plan your team's shifts directly in Possfer:
- •Create weekly shift plans with drag-and-drop
- •Assign roles per shift (e.g., 2 waiters, 1 kitchen)
- •Staff can view their upcoming shifts on their own account
- •Track actual hours worked vs. scheduled hours
Reservation Management
Manage table reservations from the dashboard:
- •View all upcoming reservations in a calendar or list view
- •Create new reservations with guest name, party size, date, and time
- •Assign specific tables to reservations
- •Add notes (e.g., "birthday celebration", "wheelchair accessible")
- •Reserved tables are highlighted on the POS table layout
Customer Database
Build a database of your regular customers. For each customer you can store:
- •Name, phone number, and email address
- •Order history and total lifetime spending
- •Notes and preferences (e.g., "prefers table by the window")
- •Allergen information
Discount and Voucher Management
Create and manage discounts and vouchers from the dashboard:
| Type | Example |
|---|---|
| Percentage discount | 10% off the entire order |
| Fixed amount discount | 5 EUR off orders above 30 EUR |
| Voucher codes | Unique codes for marketing campaigns (e.g., SUMMER2026) |
| Happy Hour | Automatic discounts during specific time windows |
Audit Trail
Every discount applied is recorded in the system with the staff member who applied it, ensuring full traceability for your records.
Notification Settings
Configure how and when you receive notifications:
- •Daily revenue summary sent by email
- •Alerts when cash book balance is unusual
- •Low-stock warnings for tracked inventory items
- •New reservation notifications
Multi-Location Management
If you operate multiple restaurants, Possfer lets you manage all locations from a single account:
- •Switch between locations using the dropdown in the top navigation
- •View consolidated analytics across all locations
- •Share menu items and categories between locations or keep them separate
- •Each location has its own staff, tables, and compliance settings
AI Predictions
Possfer uses machine learning to help you plan ahead:
- •Revenue forecasting -- predicted revenue for the upcoming week based on historical patterns
- •Staffing suggestions -- recommended number of staff based on predicted order volume
- •Popular item trends -- items trending up or down in popularity
Data-Driven Insights
Predictions improve over time as more data is collected. You will start seeing forecasts after approximately 4 weeks of usage.