Real-time Re-optimization
Autofleet’s real-time re-optimization engine continuously evaluates live traffic, ETAs, new orders, cancellations, route progress, and vehicle and driver availability to improve active plans as conditions change. It reassigns work, resequences stops, and updates routes within operational constraints. The result: protected SLAs, reduced mileage, and predictable execution without constant manual replanning.
Built for complex operations
Real-time re-optimization matters most where conditions change throughout the day and delays can affect the entire network. It enables teams to respond quickly without losing control of existing commitments.
Key Benefits of Real-Time Re-optimization
Real-time re-optimization keeps routing decisions aligned with operational reality throughout execution. Instead of rebuilding the entire plan whenever something changes, Autofleet identifies the best feasible adjustment—protecting existing commitments while improving performance across the fleet.
Protect OTP and SLA Performance
Continuously recalculate routes and ETAs as conditions change, helping prevent delays, missed time windows, and cascading service failures.
Reduce Mileage and Operational Costs
Reassign and resequence work to limit detours, deadhead miles, idle time, and unnecessary driving—reducing fuel or energy consumption and overall TCO.
Increase Utilization and Completion Rates
Insert new demand into active routes and redeploy available capacity more effectively, enabling the fleet to complete more work with existing vehicles and drivers.
Reduce Manual Intervention
Automatically absorb traffic disruptions, cancellations, delays, and availability changes, allowing dispatchers to focus on critical exceptions rather than repeatedly rebuilding routes.
How Reporting, Analytics & Audit Trails Work
Configure KPIs and Operational Guardrails
From Autofleet’s Control Center, define the priorities and constraints that guide every decision. These can include time windows, vehicle capacity, driver shifts and skills, service zones, maximum detour, route stability, order priority, and SLA requirements.
Connect Live Operational Data
Autofleet continuously receives updated traffic conditions, ETAs, GPS locations, route progress, order status, driver and vehicle availability, and new or canceled requests.
Detect Changes and Evaluate Alternatives
When conditions change, the Re-optimization Engine evaluates feasible alternatives across the operation. It determines whether work should be inserted, reassigned, resequenced, or rerouted based on current conditions and configured KPIs.
Apply the Best Plan
Autofleet generates an improved plan that protects locked or active commitments and minimizes unnecessary disruption. Changes can be applied automatically or presented to dispatchers for review, depending on the operation’s workflow.
Synchronize Execution and Measure Results
Updated assignments, routes, ETAs, and instructions flow into the Control Center and Driver App. Relevant updates can also be communicated automatically to passengers, customers, or recipients, while reporting and audit trails capture every change for performance analysis.
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Optimized Route Planning
Begin with planned routes that account for capacity, time windows, shifts, skills, service rules, and other operational constraints. Real-Time Re-optimization improves that plan as execution unfolds.
Optimized Dispatching With Live Traffic
Move updated plans into action by matching each order with the best vehicle based on current travel times, availability, and operational priorities.
Future Order Planning
Coordinate advance bookings and scheduled work with active and on-demand operations. Re-optimization protects future commitments while accommodating new demand and changing conditions.
Task and Workflow Automations
Trigger operational actions when routes change or exceptions occur, including alerts, approvals, customer communications, escalation workflows, and follow-up tasks.
“Once you see what the operations are able to do when you optimize, it's an absolute no brainer.”
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