Feature Requests

Today it's possible to easily re-run a previous run. This is useful if you want to experiment with configuration changes between runs, to e.g. see the impact of certain constraint weight changes on the output of a plan. This request is to make it possible to take a run from Tenant A and re-run it in Tenant B (assuming the user has access to both tenants, with the right permissions, and the same model being available in both tenants). This would be useful to take e.g. planning problems from a production tenant (where user has viewer rights), and re-run them in a test tenant (where user has more rights), without the risk of using up resources of the production tenant.

This is a request to make it possible to see a list of changes made to your tenant and other settings in the Platform's UI

Each Timefold tenant has limitations on the amount of concurrent threads that can be used by the tenant. This is defined by the tenant's plan. When the maximum is reached, today the platform rejects new runs, and it's on the API end user to retry later. This is a request for the platform to allow to queue further runs, that then start when there are again threads available.

For real-time replanning use cases it would be very helpful if you can refer to an existing plan (run) and only have changed data elements in the input instead of the complete input payload (e.g. new visits to take into account for Field Service Routing, a sick employee for Employee Scheduling).

This is a request for a "reality check" comparison feature, that makes it possible to compare optimized plans (made in advance) to the plans that were actually executed. The idea would be that this shows: How often, and in what ways, reality deviated from the plan (e.g. delays, reassignments). Whether the plan was too rigid, and where introducing more flexibility could improve real-world outcomes.

This is a request to improve how Timefold Platform users interact with constraint justifications: moving beyond downloadable JSON files toward a more powerful API and UI that let users explore and query them more intuitively.

This is a request for the Timefold Platform to easily tweak the problem statement of a planning problem and run simulations on how the plan would like like under different other scenario's. Possible what-if scenarios to explore could be: What if I add 20% more workload? What if I have 3 more employees available with certain skills? What if lunch breaks would be 10 minutes longer? The request is to make it possible to: Easily tweak the problem statement (ideally using no-code tools); Run the experiment (in a sufficiently representative way) Be able to easily compare the results

This request is to make available reporting capabilities in the Timefold Platform that expose bottlenecks or inefficiencies in runs of a model. The report could focus on: Which constraints limit the solution the most Which tasks/visits/shifts stay unassigned, and information on which segments they belong to (to e.g. find skills that are missing the most); Which tasks/visits/shifts are hard to plan (based on indictment information)

This request is to make it possible to submit a planning problem (e.g. an employee roster, or a routing plan) as a static plan. The plan doesn't need to be further optimized, but the run should be: scored (constraint scores, etc.) have computed input & output metrics The run should be distinguishable from other optimized runs. The use case of this is so that you can then: compare the reference run to other runs via https://feedback.timefold.ai/feature-requests/p/ability-to-compare-kpis-and-statistics-from-different-runs have the same metrics computed by Timefold as for other runs

Snowflake is a cloud-based data platform that enables organizations to store, process, and analyze large amounts of data. An integration between Timefold and Snowflake can be useful for getting the data from external systems transformed to the input needed for a Timefold Model Run, but can also be useful to connect the Timefold Model Run output back to customers' Snowflake installations.