Michael Padovano / Senior Director, AI, Data and Analytics / TRAC Intermodal
We did the homework
on TRAC Intermodal.
TRAC moves chassis operations at serious scale. We found three queues where AI automation can help turn ERP and reporting knowledge into less manual service work.
Three places we would start.
Pick one workflow. We automate the prep work for 14 days and show whether it can delay a hire, reduce rework, or move people to higher-value queues.
Chassis service requests need faster triage.
TRAC exposes customer service, service requests, chassis lookup, and fleet support surfaces.
We classify the request, collect chassis and pool context, draft the next action, and route exceptions.
Licensing and registration packets create slow checks.
TRAC's chassis business creates documents, asset records, registrations, equipment status, and customer support workflows.
We gather asset records, check missing registration data, prepare packet notes, and log follow-ups.
ERP and reporting requests need clean source context.
Your profile names Oracle, Snowflake, Azure, enterprise reporting, analytics, managed service providers, and custom solutions.
We prepare report requests, map data sources, flag mismatches, and draft acceptance checks before build work starts.
Michael, give us 30 minutes.
Bring one TRAC Intermodal queue your team would rather stop babysitting. We will make it worth your time with the automation map, hire-pressure math, and a 14-day no-charge start.