Fleet Dispatch and Safety Software in AI answers

If you'd like to narrow down which of these fits best, let me know:

• What is the size of your fleet?
• Are you managing long-haul trucking, local deliveries, or field service technicians?
• Do you need tight integration with specific ELD hardware or ERP systems?

🥇 My first choice: Onfleet

Onfleet is particularly close to what you're describing. Its current platform says it continuously optimizes routes in real time based on traffic, capacity, and time windows, while its AI auto-dispatch can insert on-demand orders into drivers' active routes.onfleet.com

Onfleet

This is the one I'd investigate first if your operation looks like:

New order arrives → system evaluates drivers already on the road → determines where the order should fit → updates the driver's route → recalculates ETA.

🥈 Samsara

Samsara is stronger if you need full fleet management + dynamic routing, rather than primarily delivery orchestration. Its Route Execution capabilities let dispatchers update navigation paths and ETAs and manage exceptions in real time; its navigation can dynamically optimize routes using traffic and road conditions.www.samsara.com

Samsara Routing & Dispatch

I'd favor Samsara for trucks, service vehicles, mixed fleets, ELD/HOS, vehicle telematics, safety, and routing in one ecosystem.

🥉 Verizon Connect

Verizon Connect explicitly supports dynamic route planning that reacts to new jobs, cancelled jobs, driver availability, weather, and traffic. It also has emergency dispatch that can identify an appropriate nearby driver based on location, skills, and vehicle.www.verizonconnect.com

Verizon Connect Route Planning

This is compelling for larger field-service or enterprise fleets where routing is only one part of the fleet-management problem.

What I'd choose

• Last-mile delivery / courier: Onfleet
• Trucks + fleet telematics + routing: Samsara
• Large field-service/enterprise fleet: Verizon Connect
• Primarily trucking/transportation: I'd also evaluate Motive alongside Samsara.

One important distinction: don't just ask vendors whether they have "real-time routing." Ask them to demonstrate this exact workflow:

Driver A is halfway through a 10-stop route → traffic adds 25 minutes → a new urgent order arrives → Driver B becomes delayed → system automatically recalculates assignments, inserts the new stop into the best active route, pushes the revised sequence to the driver, and updates ETAs.

That's the capability that will separate genuinely dynamic systems from software that merely lets a dispatcher manually re-optimize a route.

1. Onfleet — strongest turnkey option

Onfleet specifically supports on-demand optimization, where new tasks can be inserted into drivers' existing routes. Its current documentation describes an API workflow for intelligently inserting on-demand tasks into workers' existing routes.docs.onfleet.com+4

It also considers traffic data, road speeds/restrictions, driver schedules, capacity, time windows, and service time. Its current product supports on-demand auto-dispatch, predictive ETAs, and dynamically adjusting routes when conditions change.support.onfleet.com

I'd shortlist this if you want:
new order → automatically find best driver → insert stop → update route → update ETA

2. Route4Me — particularly interesting for continuous re-optimization

Route4Me explicitly advertises continuous route re-optimization, real-time rerouting, route re-balancing, dynamic ETAs, and just-in-time rerouting through its API.route4me.io

Its platform also says that unexpected delays, extra stops, or new addresses can trigger its dynamic optimization engine to re-optimize routes.www.route4me.com

This is one of the first platforms I'd test if "keep optimizing while drivers are already moving" is the core requirement.

3. NextBillion.ai — strongest API-first candidate

This is particularly compelling if you have your own dispatch/order-management system.

Its Route Optimization API supports explicitly re-optimizing an existing solution, including adding/removing tasks or modifying vehicles. The optimizer uses traffic conditions when generating the solution.docs.nextbillion.ai

Its broader last-mile stack includes real-time tracking, dispatch, dynamic reassignment when traffic, orders, or vehicle availability change, and integrations with driver apps and fleet systems.nextbillion.ai

So your architecture could look like:

That is probably the most flexible approach if you're building a proprietary dispatch experience.

4. Routific — good API-driven delivery option

Routific's current API lets you push orders into the system as they arrive and trigger optimization programmatically. More importantly, its documentation explicitly describes real-time routing for on-demand businesses, where new orders arrive throughout the day and the API is repeatedly called with drivers' real-time locations to re-optimize.api-docs.routific.com

It also exposes route.eta_updated webhooks so your system can react when driver activity changes the remaining ETAs.api-docs.routific.com

5. Google Maps Platform — excellent routing foundation, but you'd build the dispatch logic

Google's Route Optimization API supports multi-vehicle optimization and specifically gives an example of an on-demand food-delivery operation choosing the best active driver for a new order and inserting it into an existing route.developers.google.com

The distinction is that Google is more of a routing/optimization building block. You'd generally need to build the event loop that watches GPS, orders, delays and repeatedly invokes optimization.

My shortlist for your requirement

If your requirement literally is:

"Drivers are already on the road. Traffic changes or a new order arrives. Recalculate the remaining stops immediately and push the new sequence to the driver."

I'd evaluate these in this order:

1. Route4Me — best match for continuous dynamic routing.
2. Onfleet — best turnkey dispatch + driver workflow.
3. NextBillion.ai — best API/platform if you're building your own dispatch engine.
4. Routific — particularly interesting for on-demand delivery and API-driven operations.
5. Google Maps Platform — powerful foundation if you want to own the optimization/dispatch layer.

One important distinction for your evaluation: "real-time traffic-aware routing" isn't necessarily the same thing as "continuous route re-optimization." Some products calculate a traffic-aware route once; your use case needs the latter—re-solving the remaining vehicle-routing problem when the state of the operation changes.

If you tell me your approximate number of drivers/orders per day and whether you need an API or a complete dispatch application, I can narrow this to the 3 strongest vendors and compare pricing, API capabilities, latency, constraints, and live re-routing behavior.