An Atlanta logistics company drowning in dispatch admin work
An Atlanta, Georgia-based mid-size freight and logistics company providing less-than-truckload and full-truckload services across the Southeast and Mid-Atlantic. Founded in 2003 with 84 trucks, 142 drivers, and $48 million in annual revenue. The dispatch team of 4 people spent approximately 14 hours per day combined on manual administrative work: confirming bookings via email, updating the transportation management system, communicating delays to customers, reconciling driver hours, processing proof of delivery documents, and routing inbound customer inquiries. The operations leader wanted to automate the repetitive work without replacing dispatchers who handled exception management.
Why dispatch admin work consumed the team
Three operational realities drove the admin burden. First, the company operated across 4 different systems (transportation management system, customer relationship management, driver management, and billing) that did not communicate with each other, so every booking required manual data entry across multiple platforms. Second, customer communication was entirely manual, with dispatchers writing custom emails for each booking confirmation, delay notification, and proof of delivery. Third, inbound customer inquiries arrived through email, phone, and the customer portal, with no routing logic, so the most senior dispatcher spent significant time on basic status questions that the customer could have self-serviced.
What we built across AI agents, integrations, and customer portal
Our engineering team built a custom dispatch AI agent that handled the bulk of repetitive work while routing exceptions to human dispatchers. The agent connected the 4 disconnected systems (transportation management, CRM, driver management, billing) so a single booking entry propagated correctly across all 4 systems within 90 seconds. The agent generated customer communication automatically, with booking confirmations, delay notifications, and proof of delivery messages sent in the company's voice without requiring dispatcher composition. The agent classified inbound customer inquiries by urgency and complexity, automatically responding to status checks and routing complex requests to the appropriate dispatcher with full context loaded. We also rebuilt the customer portal so customers could self-service status checks, document downloads, and basic booking modifications without contacting dispatch. The customer portal cut inbound inquiry volume by approximately 64%.
Six-month results across admin time, customer service, and revenue
By month 6, daily dispatch admin work dropped from 14 hours combined across the team to under 2 hours combined. Annual labor cost savings reached approximately $312,000 from the reduced admin time. The company did not lay off any dispatchers; instead the team shifted to higher-value work including new account onboarding, complex routing optimization, and customer relationship management. Annual revenue grew by approximately $4.8 million during the engagement because the team had bandwidth to take on additional accounts that the previous admin load had blocked. Customer satisfaction scores improved by 22 points because customer communication became more consistent and faster, and inbound inquiries received responses within minutes instead of hours. The company expanded into a new geographic lane (Florida to Northeast corridor) during month 5, partly funded by the operational efficiency improvements.
How AI changed what dispatchers actually did
Before the engagement, the dispatch team functioned primarily as data entry and customer communication, with limited bandwidth for actual logistics judgment and exception handling. After the engagement, the dispatchers became logistics specialists handling the work that genuinely required human judgment, while the AI agent handled the repetitive coordination. The operations leader described the engagement as the first time the dispatch team had bandwidth to actually improve the operation rather than just keep up with the daily load.