Feature
Route optimisation
Route Optimisation Software for Delivery Fleets
Tarot Routing's optimisation engine quickly plans routes that respect your business requirements.
Plan Your Entire Fleet's Routes in Seconds
Tarot Routing optimises multi-stop routes across your entire fleet in seconds, accounting for customer time windows, vehicle capacities, territories and driver shifts. Most customers plan routes up to 10x faster and typically drive 30% less.
Re-Optimise in Real Time
When a last-minute order comes in or a driver falls behind, re-optimise on the fly without disrupting drivers already on the road. Planners can add, remove or reassign stops and let Tarot rebuild the affected routes in seconds.
Built for Real-World Delivery Constraints
Time windows, vehicle capacities, territory boundaries, driver shifts and multi-depot operations are all first-class constraints in Tarot's optimisation engine, not manual workarounds bolted on after the fact.
Traffic-Aware Routing
Tarot incorporates traffic-aware routing into its route optimisation calculations to produce delivery routes that reflect real-world driving conditions. The platform uses a hybrid data and machine learning approach to generate time-of-day traffic-adjusted driving times instantly.
This allows the optimisation engine to plan traffic-aware routes quickly, avoiding busy areas during peak times.
Route Optimisation API
Use the Route Optimisation API and product workflows alongside the systems that already run your operation.
Build route optimisation functionality into your product or app.
Route Optimisation Software — Frequently Asked Questions
What is Route Optimisation Software?
Route optimisation software automatically calculates the most efficient multi-stop delivery routes for fleets while respecting operational constraints such as delivery time windows, vehicle capacity limits, and driver availability. Unlike GPS navigation, which provides directions for a single journey, route optimisation plans and sequences deliveries across an entire fleet simultaneously.
How does route optimisation reduce delivery costs?
By reducing total kilometres travelled and improving delivery density, route optimisation lowers fuel consumption, reduces vehicle wear, and increases the number of stops completed per driver hour.
What is the difference between route planning and route optimisation?
Route planning typically focuses on a single journey from A to B. Tools such as GPS navigation or Google Maps can suggest the best route for one vehicle travelling between a small number of stops. Route optimisation goes further by calculating efficient multi-stop delivery routes for an entire fleet simultaneously. Optimisation algorithms assign and sequence deliveries across multiple vehicles while respecting constraints such as time windows, vehicle capacity, and delivery priorities.
Can route optimisation software handle delivery constraints?
Yes. Modern route optimisation platforms can account for operational constraints such as delivery time windows, vehicle capacity limits, delivery territories, order priority, and service level commitments. Advanced optimisation engines can also consider real-world travel conditions, such as time-of-day traffic, when calculating routes to improve delivery reliability.