Willian Gasparin / Director, Analytics, AI and Data Engineering Platforms / Loadsmart
We did the homework
on Loadsmart.
Loadsmart is hiring around AI automation and freight operations. We found three queues where OpenNash can help you turn analytics into operating capacity.
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.
Track-and-trace still eats operator time.
Load Operations roles name phone, email, SMS, load events, delays, shipper SLAs, and carrier communication.
We collect event updates, compare them to SLA risk, draft shipper notes, and route carrier exceptions.
Carrier compliance intake should be packetized.
Carrier compliance work usually touches authority, insurance, certificates, safety, identity, and onboarding checks.
We read documents, match fields, flag gaps, prepare approval packets, and log follow-up tasks.
The AI automation role will get buried in requests.
The open AI role names Claude, n8n, Make, LangChain, SQL, Python, Salesforce, HubSpot, Slack, Google Workspace, and NetSuite.
We take one department queue, write the acceptance checks, build the agent, and hand over the runbook.
Willian, give us 30 minutes.
Bring one Loadsmart 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.