Step inside the CarrierTool operations experience.
Start in the Command Center, then explore populated demo-data workspaces modeled after CarrierTool—from AI load intake and execution through tracking, customers, carrier intelligence, compliance, documents, closeout, and billing.
FreightIQ™ Command Center
CarrierTool's internal AI operating layer for operations, workflow automation, training, documentation, and decision support.
FreightIQ™ works inside the operation, not beside it.
FreightIQ is CarrierTool's own AI platform. It can reason across loads, carriers, customers, documents, financial workflows, exceptions, onboarding, compliance, training materials, and product documentation—then surface recommendations or take governed workflow actions from the same operating context as the user.
Load CT-2048 has not moved in 4 hours. Customer SLA risk elevated.
Dallas → Houston margin declined from 18% to 7% due to carrier cost increase.
FreightIQ found delivered loads still missing proof of delivery documents.
Best match carrier for Chicago → Dallas reefer lane is NorthStar Logistics.
Which loads are at risk today?
I found 3 operational risks. CT-2048 has a 73% late delivery probability, CT-2051 has carrier insurance expiring in 6 days, and CT-2054 has an LTL manifest discrepancy. I recommend notifying the customer on CT-2048 and requesting an updated ETA from the driver.
FreightIQ Activity
Live governed AI work across the tenant
FreightIQ Recommendations
14 miles away, 8.2 HOS hours available, prior delivery history, lowest deadhead cost.
Suggested sell rate $2,850. Target carrier pay $2,300. Expected margin 19.3%.
FreightIQ extracted consignee, delivery date, and signature, then released the billing workflow.