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Field Service Routing

    • Introduction
    • Getting started: Hello world
    • User guide
      • Terms
      • Planning AI concepts
      • Constraints
      • Understanding the API
      • Demo datasets
      • Planning window
      • Model configuration
      • Configuration overrides
      • Time zones and daylight-saving time (DST)
      • Routing with Timefold’s maps service
      • Validation
      • Model response
      • Key performance indicators (KPIs)
      • Metrics and optimization goals
    • Vehicle resource constraints
      • Shift hours and overtime
      • Lunch breaks and personal appointments
      • Fairness
      • Route optimization
      • Technician costs
      • Technician ratings
    • Visit service constraints
      • Time windows and opening hours
      • Skills
      • Visit dependencies
      • Visit requirements, area affinity, and tags
      • Multi-vehicle visits
      • Movable visits and multi-day schedules
      • Priority visits and optional visits
      • Visit service level agreement (SLA)
    • Recommendations
      • Visit time window recommendations
      • Visit group 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 (preview)
      • Real-time planning: extended visit (preview)
      • Real-time planning: reassignment (preview)
      • Real-time planning: emergency visit (preview)
      • Real-time planning: no show (Preview)
      • Real-time planning: technician ill (Preview)
      • Real-time planning: pinning visits (preview)
    • Scenarios
      • 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

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