A thin red line appeared on the screen, trailing back from the floating icon. It showed the path the part had taken three days ago. The RFID tag had pinged off the dock, then moved into the warehouse, then... it stopped. The log showed a user ID associated with the movement.

The app loaded, and the gray, static warehouse schematic of the factory came to life. PartsViz wasn't just a list of numbers; it was a spatial intelligence engine. It used a mesh of RFID tags, visual recognition from the security cameras, and historical worker movement data to map where parts actually were, not where the database thought they ought to be.

"PartsViz," Elias whispered to himself, watching the sparks fly from the milling head. "Seeing the invisible."

The supervisor let out a sound that was half-laugh, half-sob. "I could have sworn it was lost. I would have ordered a new one."

PartsViz operates at the intersection of and parts management . The platform aims to solve the high friction in identifying and ordering complex mechanical parts (automotive, machinery, electronics) by replacing 2D diagrams and text-based SKU lookups with interactive 3D models. The core value proposition is reducing "parts lookup time" by up to 70% and minimizing incorrect orders.