Fixed Resource Allocation

Organizations across industries have competing demands for resources ranging from assembly lines, computer servers, physical space (floor space or shelf space), capital equipment etc. Often, this demand exceeds capacity. These organizations need to find the optimal assignments of these physical assets to drive maximum revenue.


Optimally assign physical resources to requests for that demand.


Optimize revenue with an optimal assignment of requests to resources.


Starting with the revenue for the activities (or other priorities set by the business), an optimization problem needs to be formulated based on the requests and ERP data. All this data needs to be cleaned, joined and transformed into valuable ML features before going into model training. This pre-modeling prep process can be frustrating and time consuming. We are here to help.

Modeling techniques and libraries

Schedule optimization

Find the optimal schedule to maximize the revenue from the use of the fixed resources.

  • pyOpt
  • scipy.optimize

Related accelerators

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No-code/low-code data prep and visualization