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Phased rollout

Operations teams

Task Distribution Optimizer

Assigns each task to the right person by skill, capacity and constraints, so work gets done faster and better.

OperationsOperationsOptimizationScheduling

An optimizer that looks at a department’s people, their skillsets and constraints like capacity and vacations, and decides who should take each task. It aims for the assignment most likely to deliver fast, high-quality work in the least time.

Each task goes to the person most likely to do it fast and well, given who is actually available.

The challenge

Assigning work by hand means juggling skills, current load, vacations and deadlines in someone’s head. The result is uneven, slow, and often the wrong person on the wrong task.

What we built

  • Models each department’s people, skills and capacity.
  • Factors in constraints like load, vacations and deadlines.
  • Optimizes who should take each task.
  • Aims for the fastest, highest-quality outcome.

How it works

  1. 1

    Feed in the team, skills and constraints.

  2. 2

    The optimizer scores possible assignments.

  3. 3

    It proposes who should take each task.

Key capabilities

Skill matching

Routes tasks to the right skillset.

Capacity-aware

Accounts for load, vacations and availability.

Constraint optimization

Balances all the constraints at once.

Speed & quality

Optimizes for fast, high-quality delivery.

The payoff

  • The right person on the right task.
  • Work balanced across the team.
  • Faster delivery at higher quality.

Built with

OptimizationConstraint solverML

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