Location-based scheduling software for home services
Schedule optimisation
Present different booking slots to each customer based on their location, your daily service zones, and your scheduling settings. Customers within each zone will only be able to book you during the days you service their area.

Conceptual visualization of GeoWise's clustering logic
Back-to-back scheduling (optional) controls the booking slots shown to each customer so that you end up with one chain of bookings each day.
The way this works is your first customer for each day is presented all booking slots. Then subsequent customers only see booking slots before and after your current bookings so you do not have gaps between bookings and no extra journeys home in between each booking.
Unlike traditional booking systems, which offer the same booking slots to all customers regardless of their location, GeoWise presents customers with dynamic booking slots that align with the provider's most efficient route.
Before GeoWise

After GeoWise

Back-to-back bookings
Control your scheduling so all bookings are back-to-back and arranged in an optimal sequence. No more extra journeys home between bookings.
Daily service zones
Group nearby bookings by assigning different days to each service zone. This significantly reduces your total travel time.
Block travel time
GeoWise factors in each customer's location and automatically blocks travel time between bookings so your schedule is always accurate.
Charge distance fees
In addition to your service price, you can set an additional cost per mile to price fairly.
The Problem: Travel Inefficiency
Long travel time
Missed time windows
Dispatcher overload
Fewer jobs per day
GeoWise Patented Approach
Geospatial Clustering
Groups jobs by location proximity
Route-Based Slot Scoring
Evaluates optimal route sequences
Constraint Filtering
Filters by availability and skills
Context-Aware Optimization
Considers traffic and real-world factors

Live cluster-based routing generated inside the GeoWise app
Why Clustering Beats Manual Dispatch
Intelligent Clustering
- Optimized routes
- Predictable performance
- Scales automatically
Manual Scheduling
- Human estimation
- Inconsistent results
- Hard to scale
Real-World Impact
Jobs per day
Travel time
On-time performance
Operational costs
Built for Home Services
Cleaning
HVAC
Plumbing
Electrical
Home Healthcare
How It Integrates with GeoWise
Website Booking
Website orders are automatically converted to intelligently scheduled appointments.
Customer books

System clusters & optimizes
Job assigned instantly
WhatsApp Booking
Receive orders from WhatsApp and convert them directly to optimized bookings.
Customer books

System clusters & optimizes
Job assigned instantly
Trust & Differentiation
- Built for mobile workforces
- Not a generic booking tool
- Handles real operational complexity
- Scales from small teams to enterprise