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Field Service Routing

    • Introduction
    • Planning AI concepts
    • Metrics and optimization goals
    • Getting started with field service routing
    • Understanding the API
    • User guide
      • Constraints
      • Time zones and daylight-saving time (DST)
      • Routing with Timefold’s maps service
    • Vehicle resource constraints
      • Shift hours and overtime
      • Lunch breaks and personal appointments
      • Fairness
      • Technician costs
      • Technician ratings
    • Visit service constraints
      • Time windows and opening hours
      • Skills
      • Visit dependencies
      • Visit requirements
      • Multi-vehicle visits
      • Priority visits and optional visits
      • Visit service level agreement (SLA)
    • Recommendations
      • Recommendations
      • Visit time window recommendations
      • Visit group time window recommendations
    • Real-time planning
      • 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
    • Scenarios
      • Long-running visits
    • Changelog
    • Upgrading to the latest versions
    • Feature requests
    • Reference guide

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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