Optimization of technician routes based on job location

Purpose

1.1. Reduce technician travel times by dynamically creating optimal job sequences using real-time location and traffic data, thus increasing service capacity, lowering operational costs, improving customer satisfaction, and minimizing idle periods.
1.2. Enhance dispatch efficiency and response by continuously updating routes due to real-world job changes, cancellations, or urgent requests.

Trigger Conditions

2.1. New job appointment scheduled or rescheduled.
2.2. Technician marks job complete in the field.
2.3. Emergency/priority job manually flagged by dispatcher.
2.4. Real-time traffic or weather alerts affecting previously planned routes.
2.5. Customer cancellation or rescheduling request.

Platform Variants

3.1. Google Maps Platform
• Feature/Setting: Directions API with Optimize Waypoints enabled, configured with technician and job coordinates.
3.2. Microsoft Bing Maps
• Feature/Setting: Route Optimization REST API, set with constraint policies and technician time windows.
3.3. Here Technologies
• Feature/Setting: Fleet Telematics Route Planning API, implemented with custom vehicle profiles.
3.4. MapQuest
• Feature/Setting: Route Matrix API; input job and technician locations for batch solution.
3.5. Route4Me
• Feature/Setting: Optimization API, set with maximum route duration and time windows per technician.
3.6. OptimoRoute
• Feature/Setting: Plan Routes endpoint, upload daily job manifest and technician shift data.
3.7. Verizon Connect Reveal
• Feature/Setting: Job Scheduler with Live Map; configure job sequences and live technician status.
3.8. Salesforce Field Service
• Feature/Setting: Work Rules and Optimization Engine, set service territories and travel constraints.
3.9. ServiceTitan
• Feature/Setting: Dispatch Board Autodispatcher, enable automated sequence and drag-to-adjust interface.
3.10. Skedulo
• Feature/Setting: Location-Based Scheduling, assign job geocoordinates with resource matching rules.
3.11. Zoho Creator
• Feature/Setting: Maps & Location Integration, automate function on job form submit.
3.12. SAP Field Service Management
• Feature/Setting: Smart Scheduling Engine; set job priorities and technician skills matching.
3.13. Oracle Field Service Cloud
• Feature/Setting: Route Optimization Configuration; enable street-level routing and live updates.
3.14. ClickSoftware (Salesforce)
• Feature/Setting: Street-Level Routing, configure in the Schedule Optimization policy.
3.15. WorkWave Route Manager
• Feature/Setting: Route Optimization Dashboard, set up recurring import of daily jobs.
3.16. Fleet Complete
• Feature/Setting: Dispatch & Route Planning module; assign jobs for dynamic rerouting.
3.17. MyGeotab
• Feature/Setting: Route Optimization Add-In; sync jobs from external job scheduler.
3.18. TomTom Telematics Webfleet
• Feature/Setting: Route Planning API, configure job waypoints and driver profile.
3.19. FieldAware
• Feature/Setting: Dynamic Dispatch Rules; configure auto-reassign based on job location.
3.20. Jobber
• Feature/Setting: Route Optimization toggle; auto-route jobs for each tech's shift start/end location.
3.21. SimpliRoute
• Feature/Setting: APIs for route optimization, trigger on bulk daily job imports.
3.22. DispatchTrack
• Feature/Setting: Automated Route Planning module, set with service type and job SLA windows.

Benefits

4.1. Lower fuel, mileage, and overtime costs through optimal technician travel.
4.2. Higher on-time arrival rates, increasing customer trust and satisfaction.
4.3. Real-time adaptability for emergencies, schedule changes, or traffic disruptions.
4.4. Increased technician productivity by maximizing jobs-per-day.
4.5. Improved dispatcher visibility and control over daily operations.
4.6. Enhanced data insights into service delivery efficiency and bottlenecks.