> ## Knowledge Base Index
> Fetch the complete knowledge base index at: https://wiser.airwallet.net/sitemap.xml
> Use this file to discover available pages before exploring further.
> Pure-Markdown content can be obtained by appending a '.md' suffix to the content URLs listed in the sitemap (without the trailing slash).

# Booking Module FAQ

### **1. What is the Booking Module?**
The **Booking Module** lets you view and manage all laundry machine reservations directly from your Airwallet Dashboard. It provides a complete overview of how and when your machines are booked, helping you monitor usage, identify idle periods, and improve operational efficiency.
This module connects to the existing **Booking feature** in the Airwallet app, where end users can reserve machines in advance.

### **2. Who can access the Booking Module?**
The Booking Module is available for customers on the **SMART** and **BUSINESS** plans.
If you are on the **BASIC** plan, the feature will be locked on your Dashboard.

### **3. How do I enable Bookings for a location?**
1. Go to your Dashboard.
2. Navigate to **Locations → Settings**.
3. Find the **Booking** section.
4. Toggle **Enable Booking** to activate it.
Once enabled, users can reserve machines in the Airwallet app, and you will see those reservations in the Dashboard’s Bookings view.

### **4. What can I see in the Booking Module?**
The module has two main views:

#### **A. Bookings Overview (Top level)**
Gives a quick summary across all your locations.
Columns include:
* **Location**
* **Customer**
* **Bookings enabled** (Yes/No)
* **Devices**
* **Bookings today** (adjusted for customer timezone)
* **Bookings next 7 days **(adjusted for customer timezone)
You can filter results by **Customer**, **Location**, or **Bookings enabled**.

#### **B. Timetable View (Per location)**
Shows a detailed schedule for one location on a specific date.
You can:
* Switch between dates
* Filter by location
* See opening hours for each day
* Track all bookings visually on a grid
Each device appears as a row, and each booking as a color-coded block showing the user, time, and booking status.
**5. How often is booking data updated?**
The view automatically updates approximately **once every 5 minutes** to show the most recent booking activity and statuses.

### **6. What do the booking colors and statuses mean?**
| **Status** | **Description** |
| **Completed** | The booked machine was used by the user within the booking interval (±1 hour). |
| **Missed** | The booked machine was not used within the booking interval (±1 hour). |
| **In Progress – Used** | The booking is currently active, and the machine is in use. |
| **In Progress – Unused** | The booking is currently active, but the machine has not been used yet. |
| **Upcoming** | The booking has not started yet. |
| **Cancelled** | The booking was cancelled by the user. |

### **7. Can I export booking data?**
Yes. You can export all booking data for a location.

### **8. Can I edit or cancel bookings from the Dashboard?**
No. The Dashboard view is **read-only**.
Users manage their own bookings through the **Airwallet mobile app**.

### **9. Which timezones are used in the Booking Module?**
* Bookings shown on **overview pages** (e.g., “Bookings today,” “Next 7 days”) are adjusted to the **customer’s timezone**.
* Individual booking start and end times in exports reflect the **location’s timezone**.

### **10. What settings control how bookings work?**
Each location can define these parameters in the settings:
| **Setting** | **Description** |
| **Booking window** | How many days in advance users can book. |
| **Booking duration** | The length of a reservation in minutes. |
| **Maximum active bookings per user** | The number of simultaneous active bookings allowed per user. |
| **Buffer before booking** | Time before a booking when the machine is locked for others. |
| **Timeout release** | Grace period after a no-show before the machine becomes available again. |

### **11. What are the benefits of using the Booking Module?**
* See all bookings in one clear view
* Monitor machine usage patterns
* Identify underused time slots
* Export booking data for reporting