VRP Feature Timeline
| Feature | Status | Target Date |
|---|---|---|
| TomTom integration | ✅ Done | Q1 2025 |
| Resource ranking | ✅ Done | Q2 2025 |
| Job complexity | ✅ Done | Q2 2025 |
| Unavailability break | ✅ Done | Q2 2025 |
| Granular fairness | 🔄 In Progress | Q3 2025 |
| Minimize visit completion risk | 🔄 In Progress | Q3 2025 |
| Immovable jobs | 📋 Planned | Q4 2025 |
| Real-time planning | 📋 Planned | Q4 2025 |
| Routing agent | 📋 Planned | Q4 2025 |
Recently Completed Features
TomTom Integration
Real-time and predictive traffic routing with full TomTom API support. Includes live traffic updates, departure time optimization, and vehicle-specific routing.
Resource Ranking
Flexible preference system allowing soft resource-job assignments on a 1-100 scale. Perfect for customer preferences and skill matching.
Job Complexity
Define job difficulty independent of duration to ensure fair workload distribution across teams, preventing burnout and enabling skill development.
Unavailability Breaks
Model realistic schedules with unavailability periods for meetings, training, or personal time alongside regular breaks.
Features In Progress
🔄 Granular Fairness
Building on our existing fairness capabilities to provide more fine-grained control over workload distribution.
- Hour-by-hour workload distribution
- Customizable fairness criteria (time vs distance vs job count)
- Per-resource fairness targets
- Regional and time-window specific balancing
🔄 Minimize Visit Completion Risk
Intelligent route optimization that factors in uncertainty to maximize successful visit completions.
- Account for traffic variability and delays
- Consider job duration uncertainty
- Factor in resource reliability scores
- Optimize buffer times for critical appointments
Upcoming Features
📋 Immovable Jobs
Jobs that absolutely cannot be rescheduled or reassigned:- Pre-scheduled appointments that must not change
- Jobs already in progress
- Contractually fixed service windows
- Integration with field execution systems
📋 Real-time Planning
Dynamic optimization that adapts to changing conditions:- Live re-routing based on actual progress
- Automatic adjustment for delays and disruptions
- Event-driven replanning triggers
📋 Routing Agent
Intelligent decision-making layer that learns and adapts routing strategies.
- Learn from historical routing patterns
- Predict and prevent common issues
- Suggest optimal strategies for different scenarios
- Continuous improvement through feedback loops
Have a feature request? Contact your account manager or submit feedback through our support channels.
Related Resources
Changelog
See all completed features and improvements
API Reference
Explore current API capabilities
Feature Guides
Learn how to use existing features
Support
Get help or submit feature requests