Use case
Jul 26, 2025
How a logistics team saved 120 hours a month
AIQ
Overview
In fast-moving logistics, every delay compounds—missed updates, manual scheduling, and paperwork all eat into the clock. One mid-sized logistics company decided to change that by deploying AI agents to automate dispatching, data entry, and customer notifications.
Within weeks, the team was saving over 120 hours every month, freeing their staff to focus on strategy and service instead of spreadsheets.
Manual Processes Slow Operations
For years, dispatchers spent hours each day coordinating jobs manually checking availability, updating drivers by phone, and logging progress in spreadsheets. Delays, double-bookings, and missed updates were common.
The company realized that the issue wasn’t capacity, it was workflow. Too much time was wasted on repeatable tasks that could easily be automated.
“We were spending half our day just keeping up with routine updates. Once AI agents took over, our dispatch center finally had breathing room.”
— Angelica Nuñez, Operations Manager
AI Agents Take Over the Repetitive Work
The team deployed two task-specific AI agents:
Dispatch Agent: Automatically assigns field jobs based on driver location, availability, and workload.
Update Agent: Sends real-time notifications to customers when deliveries are dispatched, delayed, or completed.
These agents ran quietly in the background, monitoring workflows and making adjustments automatically. Human supervisors only stepped in for exceptions or special cases.
Real-World Results
Within the first month, the logistics team reported:
120+ hours saved in manual coordination and data entry.
30% faster dispatch times due to automatic job routing.
Higher customer satisfaction, with delivery updates sent instantly and accurately.
Zero missed assignments, thanks to automated scheduling logic.
How to Get Started
Deploying your first AI agent doesn’t require complex tools or IT resources. Follow four simple steps:
Identify your bottleneck — Find a repetitive task that slows your team down, such as scheduling, approvals, or data entry.
Select your agent type — Use a pre-built workflow or configure one with your own triggers and logic.
Integrate your tools — Connect the systems your team already uses, from spreadsheets to CRMs and communication platforms.
Measure and refine — Track time saved and errors reduced, then optimize your agent’s rules for even better results.
Final Thoughts
Companies that start small with automation often discover compounding gains over time. One saved hour per day becomes dozens by month’s end, and hundreds by year’s end.
