Predictive ETAs New

Trip ETAs that get smarter over time.

With Predictive ETAs New, The Dispatcher can promise pickup and arrival times I can trust so they can I set realistic expectations with facilities and patients — resulting in fewer late pickups and status calls.

The Problem

The Core Problem
Generic map ETAs ignore NEMT realities and never improve, so promised times drift from what actually happens on your routes.
The Scenario
A dispatcher promises a facility a 2:15 PM arrival based on a raw map estimate.
Why It's Urgent
Generic map estimates ignore NEMT realities such as loading a wheelchair, facility wait times, and local traffic patterns, so promised times drift from what actually happens.
Without MediRoutes
Pad every ETA with a fixed buffer. Too much padding wastes capacity and too little means late pickups.
With MediRoutes
Predictive ETAs learn from your own completed trips over time — actual drive times, dwell at facilities, and traffic patterns on the routes you actually run — so promised pickup and arrival times get more accurate the longer you use them, instead of relying on generic map estimates.

Who This Helps

The Dispatcher
promises pickup and arrival times off generic map estimates that ignore NEMT realities.
Frustrations
  • Map ETAs that don't fit NEMT operations
  • Padding every estimate to be safe
  • Estimates that never improve
Pain Points
  • Unreliable ETAs drive late pickups and calls
  • Generic estimates erode facility trust
Ideal Workflow
ETAs learn from actual trips and get more accurate the longer they're used.
The Fleet Owner
wants reliable promised times that protect on-time performance and reputation.
Frustrations
  • Inconsistent ETA accuracy across routes
  • On-time performance and trust suffering from bad estimates
  • No system that improves over time
Pain Points
  • Inaccurate ETAs risk on-time penalties
  • Poor estimates damage facility relationships
Ideal Workflow
Self-improving ETAs keep promised times trustworthy as the operation runs.

How It Works

Each step shows what happens when things go right — and what MediRoutes does when they don't.

Start / End
Process Step
Decision Point

Common Questions

It accounts for real NEMT operating conditions such as loading time and recurring delays, not just open-road driving.
It is designed to reflect real load and unload time by level of service.
It starts from the base map estimate until there is history for that route.
It sets the planned ETA, and live tracking and rerouting handle in-day changes.