Robotic arm engineering and prototyping is a precision-driven operation. Every prototype that moves through Orangewood’s development pipeline must be assembled, calibrated, and validated using a specific set of tools and components and every iteration depends on engineers being able to access the right parts quickly when something needs adjusting. As Orangewood’s prototyping pace accelerated, three interconnected problems emerged:

Untracked Component Flow
With multiple engineering workstations, engineers, and concurrent prototype builds happening in parallel, tools and components were moving around the lab with no systematic tracking. High-value items like torque calibration tools, precision end-effector components, and servo test fixtures were routinely unavailable at the workstation that needed them. Engineers spent meaningful time each day simply locating equipment time that directly displaced productive prototype development.

Reactive Inventory Management
Without visibility into real-time component utilization, inventory replenishment was reactive rather than planned. Critical prototype parts would be depleted before anyone noticed, creating urgent procurement situations and in some cases halting an iteration mid-build while replacement stock was expedited. The cost was not just in the parts it was in the cascading delay to engineering timelines that followed.

No Visibility Into Tool Usage History
As Orangewood’s prototyping cycles expanded, so did the need to understand how tools and components were actually being used across engineering workstations. Which fixtures were being shared across multiple prototype iterations? Which items were consistently unavailable when engineers needed them? Were high-use tools approaching their service intervals? Without a systematic way to capture usage data, these questions went unanswered—making it impossible to optimize tool placement, anticipate maintenance needs, or make data-driven decisions about where to invest in additional equipment.