AI fleet optimisation: route planning and delivery time prediction for a logistics fleet
ScalaCode built an AI fleet optimisation system for a logistics enterprise. A Python and TensorFlow engine plans routes from live traffic and weather data and predicts delivery times, and fleet managers monitor every vehicle from a Vue.js dashboard.
A logistics enterprise with a large fleet
The client wanted to optimise its fleet operations, reduce fuel and operating costs, and improve delivery efficiency. Fleet managers needed live route optimisation, accurate delivery time predictions and a dashboard simple enough to use every day.
What made fleet optimisation hard
Traffic and weather change constantly
Routes had to respond to live traffic and weather conditions as they changed.
Legacy systems and GPS devices
The platform had to work with the client's existing legacy systems and in-vehicle GPS devices.
Data from a large fleet
Every vehicle sends data, so the system had to scale to the full size of the fleet.
Route optimisation driven by live conditions
An AI engine plans and adjusts routes, and a dashboard gives fleet managers a live view of the whole fleet.
- 01
Route optimisation engine
Python and TensorFlow models plan routes and adjust them as conditions change.
- 02
Live traffic and weather feeds
Real-time data feeds supply traffic and weather updates to the engine.
- 03
Delivery time and fuel models
Predictive models estimate delivery times and fuel efficiency.
- 04
Fleet management dashboard
A Vue.js dashboard shows vehicles and fleet performance analytics in real time.
- 05
Alerts for fleet managers
Managers get alerts for delays, maintenance and fuel optimisation.
- 06
GPS and ERP integration
A Node.js backend connects the platform to existing GPS devices and ERP systems.
Fleet managers see and adjust every route live
Routes adjust to traffic and weather as conditions change, delivery times come from predictive models, and fleet managers follow performance, delays and maintenance alerts from one dashboard.
route adjustments
systems integrated
What AI fleet optimisation runs on
Python, TensorFlow
Vue.js
Node.js, PostgreSQL
Plan a build like AI fleet optimisation for your business
- 30 minutes with the ScalaCode team
- What is realistic, what it costs and how long it takes
- You decide afterwards whether to build with us
