new

improved

fixed

Timefold Platform

Employee Shift Scheduling

Field Service Routing

Pickup & Delivery Routing

Insights, improved SLA constraints in FSR, and improved time-between-shifts rules in ESS

Today, we're announcing version v1.4 of the Timefold Platform and updates to the Timefold models.
This new version of the Timefold Platform comes with these platform improvements:
  • Insights (Preview)
    : Our new Insights feature lets you track the quality and behavior of your planning datasets over time. Instead of reviewing individual results in isolation, you can now monitor key metrics across your last 30 datasets or across a 1-week, 1-month, or 3-month window. You can filter by dataset tags to focus on specific business units, regions, or planning types, and customize which input and output metrics are shown. This makes it easy to spot if changes improve or degrade solution quality, or whether key metrics are trending in the right direction over time. See Insights for more information and to get access.
Insights page
  • Searchable sub-group select for configuration overrides
    : The configuration override selector now supports search and sub-group organization, making it easier to find and apply overrides in larger configurations.
  • Several
    security improvements and bug fixes
    , including a fix for a redirect loop for new users.
Next to that, this new version of the Timefold Platform comes with updates to these Timefold models:
Field Service Routing (v1 | Stable)
Employee Shift Scheduling (v1 | Stable)
  • Exclude tags in time-between-shifts rules
    :
    minutesBetweenShiftsRules
    and
    minimizeGapsBetweenShiftsRules
    now support
    excludePreviousShiftTags
    and
    excludeNextShiftTags
    , giving you more flexibility when defining which shift pairs a rule applies to. Previously you could only specify tags that a shift must have. Now you can also specify tags that a shift must not have, making it easier to target or skip specific shift types without having to tag every case explicitly. See Changelog for more information.
  • Self-rostering and optimization scenario guide
    : Employees who can choose their own shifts report higher job satisfaction and lower turnover, but purely self-rostered schedules often leave coverage gaps. A new scenario guide explains how to combine employee-driven self-scheduling with Timefold optimization. See Self-rostering and optimization.
Pick-up and Delivery Routing (v1 | Preview)
  • Maintenance release updating dependencies to deliver security updates.
Please let us know if you have feedback.