Transload (YC P26) launched a system that measures freight dimensions using existing CCTV cameras in LTL trucking terminals. Founders Julius, Jago, and Nils built the tool to eliminate manual dimensioning stations that bottleneck dock operations. Their approach processes shipments automatically during normal workflow instead of requiring dedicated measurement equipment.

LTL carriers lose revenue when shippers under-report freight dimensions. One customer discovered roughly 10% of shipments contained dimension errors, creating billing discrepancies. Traditional dimensioning systems add forklift travel time and create dock congestion, so many terminals only sample a fraction of freight. This leaves carriers giving away trailer space while undercharging for oversized shipments.

The technical challenge involves connecting barcode scans to the correct pallet in crowded video frames. VLMs proved unreliable for this task, prompting the team to train their own 3D reasoning model using worker gaze, body orientation, and movement cues. Once matched, the system segments the object and estimates monocular metric depth to fit a 3D bounding box using camera geometry and floor contact constraints.

Transload currently works with multiple LTL carriers on revenue recovery applications. The startup pivoted from forklift route optimization after interviewing 50+ trucking companies revealed dimension measurement as the primary pain point. Their solution leverages existing infrastructure while avoiding workflow disruption that makes comprehensive measurement impractical.