Convoy
For taxis and PHVs
Easy management of fleets dedicated to hailing or individual transportation, and optimise vehicle allocation.
7m
ride bookings
+30%
of occupancy rate
+10%
of monthly growth
0
unforeseen delay
Main Features
Get the most out of our seamless DMS tool designed especially for taxis, minicabs or private hire vehicles
Real-Time Geolocation
Vehicle location tracking, status updates and delay notifications all available via the Karhoo map.
High Standard Interfaces
Offer your customers a custom white-label app and a web-booker system.
ASAP Ride Assignment
Automatic ride assignation to a driver with the best estimated arrival time.
Shortest Path Computation
Based on local map for high-speed calculation.
Driver Planning
Provide smart schedules to your drivers based on ride clusters, and optimise routes in real time.
Driver Allocation
In case of driver delay or anomaly, the job can be automatically reassigned to another driver.Switch from an Offline to Online Business Model
Choose the best performing and most comprehensive dispatch solution on the market
Optimise
Improve your fleet performance to maximise revenues.
Scale
Handle twice as many bookings by automating your regular processes.
Control
Monitor in real time your drivers' activity and follow your KPIs effectively.
Happy Customers
Provide a new experience to your customers, with real time information and qualitative interfaces.
Manage
Simplify your drivers' on-boarding and management thanks to automated process.Product overview
Tailor-made solution for ehailing
The Dispatch Ecosystem
Other dispatch products that we provide
Couria
Last-Mile Delivery
Enables to manage services dedicated to last-mile delivery, and to optimize vehicles allocation.
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Commune
For On-Demand Transit
Available for municipalities or private organizations, it enables to set up, manage and optimize any type of on-demand transit services.
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Bundle
Dispatch Algorithms
Use the algorithms behind our dispatch tool to optimise in real-time any type of mobility service and pool rides using smart clustering.
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