Logistics
Saved 12+ hours/week on task routing
Challenge
Manual intake required staff to copy data between systems and follow up with patients via email and phone, creating delays and inconsistent experiences.
Solution
An AI routing agent was deployed to automatically match incoming jobs against driver availability, vehicle type, and delivery windows, with priority logic built in for urgent and high-value loads.
Implementation
Connected to the existing dispatch system and order platform. Routing rules were configured to mirror existing ops logic with minimal staff retraining required. Live in 10 days.
Optimization
Dispatcher feedback in the first two weeks refined the agent's priority logic. By week three, manual interventions had dropped to under 5% of all assignments.
12+ hrs
Saved per week on manual routing
5%
Jobs needing manual intervention, down from 40%
10 days
Kickoff to live
"Our dispatchers used to start every shift firefighting. Now they're managing exceptions, not drowning in them."
Head of Operations