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AI Route Planning

AI Plans Routes That Senior Dispatchers Would Build, in Seconds

Your best dispatcher holds the entire territory in their head: which techs are credentialed for what, which neighborhoods cluster well, which patients need morning slots. CareLogix AI captures that logic and applies it to every route, every day, using real road data. One click replaces hours of manual route building.

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Screenshot of CareLogix route planning interface showing AI-optimized routes on a map with staff assignments

Manual Routing Burns Capacity You Cannot Afford to Lose

In most DME operations, route planning is a daily ritual that depends entirely on dispatcher experience and memory. A senior dispatcher opens the work order queue, scans through dozens of stops, and begins mentally sorting them: this cluster goes to the north side, that oxygen refill needs a respiratory tech, this delivery has a narrow time window.

The result is a route that works, but is rarely optimal. Techs drive 30-40% more miles than necessary. Stops that could be grouped get spread across multiple routes. A tech credentialed for complex setups gets assigned simple deliveries while another tech struggles with work above their skill level. Overtime creeps in because the route was front-loaded in the morning and back-loaded in the afternoon.

When that senior dispatcher is out sick or on vacation, the operation falls apart. Junior dispatchers lack the territorial knowledge and produce routes that cost you fuel, overtime, missed appointments, and frustrated patients. The knowledge lives in one person's head, and it walks out the door every evening.

How It Works

  1. 1

    AI Analyzes Unrouted Work Orders

    CareLogix pulls every ready, unrouted work order and evaluates location, visit type, equipment requirements, patient preferences, and time constraints.

  2. 2

    Groups by Geographic Proximity

    Stops are clustered into geographic zones using real coordinates, not zip codes, to minimize drive time between consecutive stops.

  3. 3

    Matches Staff Credentials

    Each cluster is assigned to a technician whose credentials, certifications, and equipment authorizations match the visit requirements. Complex setups go to qualified techs.

  4. 4

    Optimizes With Real Road Data

    Routes are sequenced using OSRM road network data with actual drive times on actual roads, not straight-line estimates. Turn restrictions, one-way streets, and highway access are all factored in.

  5. 5

    Review and Lock

    Dispatchers review AI-built routes on the map, make adjustments if needed, and lock routes for the service day. Techs receive their itineraries with turn-by-turn directions.

Key Capabilities

Geographic clustering using real coordinates
Staff credential and certification matching
Workload balancing across technicians
Real road data optimization via OSRM
Overtime awareness and prevention
Disruption-aware re-routing
Multi-visit-type support (delivery, pickup, setup, repair, PM, education)
Patient time-window preference handling
Equipment capacity planning
Cross-branch staff coverage
Break compliance scheduling
Route lock and publish workflow

ROI Impact

35% more patients per route, 30-40% less windshield time

Stop Building Routes From Memory. Start Optimizing With AI.

See how CareLogix transforms your operation in a 30-minute walkthrough.