Docs
  • Solver
  • Models
    • Field Service Routing
    • Employee Shift Scheduling
    • Pick-up and Delivery Routing
    • Task Scheduling
  • Platform
Try models
  • Field Service Routing
  • Recommendations

Field Service Routing

    • Introduction
    • Getting started: Hello world
    • User guide
      • Terminology
      • Use case guide
      • Scheduling API concepts
      • Integration
      • Constraints
      • Using the API
        • Using the OpenAPI spec
        • API tooling
      • Demo datasets
      • Input datasets
        • Model configuration
        • Model input
        • Planning window
        • Time zones and daylight-saving time (DST)
      • Routing with Timefold’s maps service
      • Input validation
      • Model response
      • Output datasets
        • Metadata
        • Model output
        • Input metrics
        • Key performance indicators (KPIs)
      • Key performance indicators (KPIs)
      • Metrics and optimization goals
      • Score analysis
      • Visualizations
    • Vehicle resource constraints
      • Shift hours and overtime
      • Lunch breaks and personal appointments
      • Fairness
      • Route optimization
      • Technician costs
      • Technician ratings
      • Coverage area
    • Visit service constraints
      • Time windows and opening hours
      • Skills
      • Visit dependencies
      • Multi-vehicle visits
      • Multi-day schedules and movable visits
      • Priority visits and optional visits
      • Visit service level agreement (SLA)
      • Duration added for first visit on location
      • Visit profit
      • Visit requirements and tags
        • Visit requirements
        • Tags
    • Manual intervention
    • Recommendations
      • Visit time window recommendations
      • Visit group time window recommendations
      • Bulk time window recommendations
    • Real-time planning
      • Real-time planning: extended visit
      • Real-time planning: reassignment
      • Real-time planning: emergency visit
      • Real-time planning: no show
      • Real-time planning: technician ill
      • Real-time planning: pinning visits
      • Real-time planning: actual arrival and departure times
    • Real-time planning with patches
      • Real-time planning: extended visit (using patches)
      • Real-time planning: reassignment (using patches)
      • Real-time planning: emergency visit (using patches)
      • Real-time planning: no show (using patches)
      • Real-time planning: technician ill (using patches)
      • Real-time planning: pinning visits (using patches)
    • Scenarios
      • Configuring labor law compliance
      • Ferry connections
      • Long-running visits
    • Changelog
    • Upgrade to the latest version
    • Feature requests

Recommendations

Plans change and evolve over time.

When a customer calls to request a technician to complete work at their premises, they’d like to know when to expect the technician, and the more specific the timeframe the better. Tuesday, February 2nd between 13:00 and 16:00 is much better than the first week in February.

Timefold can quickly provide a range of time window recommendations for a visit when a customer is requesting service. After the customer has accepted one of the recommendations, their visit and the accepted time window is added to an input dataset which can be optimized straightaway Real-time planning, or at a later date if the visit occurs during a planning window that has not yet being optimized, either way, the customer doesn’t need to stay on the phone to wait for the optimized solution.

The following guides explain how to use recommendations:

  • Visit time window recommendations

  • Visit group time window recommendations

  • Bulk time window recommendations

  • © 2026 Timefold BV
  • Timefold.ai
  • Documentation
  • Changelog
  • Send feedback
  • Privacy
  • Legal
    • Light mode
    • Dark mode
    • System default