Optimize

Regional Optimization

AI-powered algorithms find the optimal regional structure based on your constraints.

Demo Mode: Running new optimizations is disabled. Below is an example of a completed optimization run for OW Care's regional restructuring.

Regional Restructuring Optimization

Completed Mar 3, 12:36 PM • Genetic Algorithm • 100 iterations

Completed

View Results

24% Improvement

in workload balance variance

Before Optimization

Regions10

Max Clients/Region463

Min Clients/Region144

Avg Clients/Region303

Variance9,696

After Optimization

Regions10

Max Clients/Region398

Min Clients/Region152

Avg Clients/Region303

Variance7,354

Optimization Progress100%

How Optimization Works

Define Constraints

Set your rules — maximum travel distance, minimum clients per region, required coverage.

Set Objectives

Tell the system what matters — balance workload, minimize travel, maximize coverage.

Review Results

Compare before/after on interactive maps. Export or apply the optimal configuration.

Current Regional Configuration

10 regions before optimization

View on Map

Region-1

386 clients

Region-2

278 clients

Region-3

385 clients

Region-4

351 clients

Region-5

378 clients

Region-6

463 clients

Region-7

231 clients

Region-8

186 clients

Region-9

144 clients

Region-10

232 clients