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Ceres

Surprising optimized schedules

The customer wanted an algorithm for employee scheduling with a series of complex functionalities.

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Results

We were able to develop an MVP in only 2 weeks whith results that the client felt very impressive.

The optimizer was able to avoid paying overtime and hiring part-time workers that were more expensive then full-time workers while still accommodating employees to their hourly preferences.

  • Client: Logic Plum
  • Location: Boston, USA
  • Technologies:

      Python

      Integer programming

  • Date: Aug 2019